CTV Advertising in 2024: Navigating an Era of Abundant Data and Trust Scarcity

CTV viewership continues its upward trajectory, growing both in terms of number of viewers and time spent consuming content. According to a report by MNTN, CTV now accounts for 50% of all TV hours consumed, a jaw dropping 11.5 billion hours.

What’s more, half of all households with wifi now stream TV, according to comScore, which isn’t surprising given the number of options now available to consumers to watch their favorite shows at any time, day or night, that’s convenient to them, and on any device of their choosing.

Those options include ad-supported video on demand (AVOD), free video on demand (FVOD), free ad supported television (FAST) and virtual multichannel video programming distributor (vMVPD).

It’s a truism in advertising: where consumers go, brands must follow. But are advertisers reaping the full benefit of digital advertising when they buy CTV inventory? The data says no, largely due to a lack of standardized measurement and verification.

A report from Xenoss succinctly highlights the lack of common identifiers, myriad measurement methodologies, and complex device identification as key challenges. Its authors discuss the need for ad platforms to pull data from multiple sources to give a complete picture of ad performance, and the challenges of cross-media measurement and data fragmentation.

Meanwhile, DoubleVerify ​​reports that CTV advertisers confront multiple types of ad fraud, including bot traffic, fake apps and fake traffic, and urgently need sophisticated fraud detection mechanisms to combat ad fraud in the CTV environment.

This leads us to the most notable trend for 2024: CTV advertisers will demand assurance that their ads were delivered to real people, not bots, and were seen by the right consumer or household as promised.

Lack of Measurement Stymies CTV Advertising 

There’s no denying that the TV advertising landscape is in the midst of a radical transformation. Notably, projections indicate that spending for streaming ads will exceed those of traditional linear TV by 2025. Within the next three years it will account for 68% of total TV ad spend.

For its part, spending on linear TV will decline from $61.31 billion in 2023 to $56.83 billion in 2027, according to Insider Intelligence. In that same time period, CTV ad spend will grow from $25.09 billion to $40.9 billion.

So what are the implications of this shift in focus? To begin, as more ad dollars flow into CTV, the more advertisers will be confronted with the challenges of measurement and the scourge of ad fraud. Without trusted and standard tools, how will they feel confident that the impressions they pay for were actually seen by real users?

This contrasts with linear TV, which had a standard mechanism for buying and measuring TV for 50 years: Nielsen’s panels and the gross rating point (GRP).

Say what you will about the efficacy of linear TV, at least it was standardized, and enabled marketers to compare performance across all publishers.

Three Vectors for Linear TV

The linear TV framework offers three vectors for audience audience targeting:

  1. Content: Marketers select shows based on content — sports, soap opera, news, etc., — which serves as a proxy for the viewers’ demographics. This, of course, is based on assumptions, such as “men watch sports” and “women watch soap operas.”
  2. Time of day: Dayparts help advertisers match products to consumers. For instance, breakfast cereal brands target consumers while they’re likely to be eating breakfast, and fast casual restaurants show their lunch specials at noon time.
  3. Geography: Where a consumer is located helps advertisers hone their targeting further. For instance, a tire company will show regular tires to markets in the south, and ads for snow tires for markets likely to experience winter weather.

Measurement was done through the GRP, which is a metric for gauging the effectiveness of linear television ads. GRP is calculated based on the percentage of the total potential TV viewership that the ad reaches. Specifically, one GRP represents the ad being seen by 1% of the entire potential TV audience.

Digital Expectations for a Critical Digital Channel

The linear model doesn’t translate well to CTV for multiple reasons. To begin, day parts are no longer relevant, as anyone can watch any content at any time. And without an IP address — data that isn’t transmitted in the programmatic bid stream — location is difficult to ascertain. This issue grows more severe as the surge in programmatic TV continues.

There is also the issue of the ad buyer’s expectations. CTV is a digital channel, and its inventory is traded by people who are steeped in the digital landscape. They are marketers who are accustomed to a plethora of attributes for targeting, measuring and optimizing campaigns. These advertisers, and their agencies, are well aware that they are hundred of variables that they should be able to leverage, but can’t, including

  • IP location address, and all the insight that surrounds it, including locations down to the +4 ZIP code, home vs. business, mobile carrier, device type, among others.
  • Time spent watching TV, when did they stop watching TV.  While automated content recognition (ACR) data is fully opt-in and records both the content and ads played on a smart TV, CTV is consumed on many other device types —  computers, tablets or phones — that don’t support it. This reality means there is a gaping hole in measurement. Additionally, ACR data doesn’t capture the location of the viewer, which is a critical data point for marketers.
  • Precise audience segmentation based on demographics and psycho-demographics (e.g. users in these households who love fashion, or east coast moms who shop at Trader Joes). The city, neighborhood and block can contain a great many types of consumers, which is why digital advertisers place a premium on creating unique audience segments.
  • Tracking and attribution. Advertisers are keen to track the outcomes of their ad spend. Of the users who saw their ads, how many visited the website or retail outlet? How many conversions or sales did the ad spend generate?

The State of CTV Measurement

CTV measurement has been a topic of concern for advertisers since the channel took off during pandemic-era lockdowns. In response, many CTV and measurement companies are starting to bring solutions to the market.

The challenge is that these solutions vary from platform to platform, making it difficult for advertisers to compare performance across channels. They want standardization in measurement, and are increasingly vocal about that demand.

In some cases, the old way of measuring TV is being shoehorned into CTV. This is an extremely important point, because buyers say they don’t trust such methodologies. That lack of trust, in turn, is putting a damper on ad spend, preventing it from reaching its full potential.

How do we build trust in CTV measurement? We need to resolve the complexities in the current CTV landscape, which include:

  • A lack of common identifiers. CTV measurement lacks common identifiers, making it difficult to track and measure ad performance across different platforms and devices.
  • Data fragmentation. Advertisers have little visibility into where their CTV ad runs and who they reach, due to highly fragmented data. This, in turn, makes it difficult to measure and track campaign KPIs.
  • Inconsistent measurement. Unlike the GRP, CTV is plagued with Inconsistent measurement practices. What’s more, advertisers don’t have transparency into how audiences are measured and how outcomes are attributed to ad spend.
  • Opaque practices. Ad buyers often think they’re buying premium CTV inventory when, in fact, it can be less than premium or even fraudulent.

The bottom line is that CTV measurement today faces significant challenges for marketers who are accustomed to digital campaigns. At present, CTV can’t accurately determine whether the intended audience for an ad is indeed the one who views it. Panels, although valuable, do not paint a complete picture, as precise geolocation is lacking.

If all panels were to disclose the geographical reach of their data (which is currently not a widespread practice), ad buyers would have a standardized understanding of their viewership, even if different panel measurement companies provide varying insights.

Many ad buyers already rely on multiple measurement companies, and with access to location-based data, they can better comprehend the origins of their viewers and the demographic information provided by the panel company.

Until a standardized approach to television measurement comes to market, advertising will be stymied. That said, given the increasing importance of CTV in reaching and engaging consumers, 2024 will be a year when substantial innovation occurs.

State of Fraud in CTV

Ad fraud in CTV has been a significant concern for advertisers, as nefarious players deploy deceptive tactics, such as bots or fake CTV devices to simulate viewership in order to inflate video ad impressions. In some cases, these sophisticated schemes are the work of organized crime rings.

DoubleVerify’s Global Insights Report found that bot fraud on CTV surged 69% in 2022 compared with the year prior. The number of CTV fraud schemes and variants DV detected annually has tripled since 2020.

The billions of dollars that flow into CTV advertising is irresistible to fraudsters, many of whom have significant technical skills and resources at their disposal to ply their craft. As more dollars move into the CTV space, the greater the opportunity for fraud.

Residential IP proxy networks are another issue of concern for streaming TV providers. Consumers, crime rings and VPNs seeking to circumvent digital rights management (DRM) restrictions are leveraging residential IP proxy networks to circumvent geo-restrictions, a topic we’ve covered in the past. Quality teams need to get a handle on residential IP stuff in order to improve/home targeting.

Our prediction: 2024 will be a year of anti-fraud innovation in the CTV space.

Going Forward

CTV is a critically important channel, so we can expect to see more innovation in both measurement and fraud detection and mitigation. For this reason, experts in the industry are working hard to solve this challenge — Digital Element included. Stay tuned!

Why the Digital Ad-Tech Sector Should Know and Care About Residential Proxy Networks

This month marks the 20th anniversary of Cybersecurity Awareness Month, and is an opportunity to bring attention to the threats that businesses and people face as they go about their digital lives. Launched in 2004, as a collaborative effort between the Cybersecurity and Infrastructure Security Agency (CISA) and the National Cybersecurity Alliance (NCA), Cybersecurity Month seeks to educate both businesses and people about the current and emerging threats they may encounter online.

Over the past 18 months a new threat vector to digital advertisers has emerged: residential IP proxy networks, and nefarious actors have been leveraging them to bilk advertisers of their budgets. 

What is a residential IP proxy network, and how do they affect marketers who target users as they go about their digital lives? Let’s dig into this critical topic.

Google “residential proxy IP” and you will quickly realize there is a burgeoning industry in the after-market trade of home IP addresses for purposes other than individual home use. Numerous companies offer to make thousands, even tens of thousands of legitimate residential IPs available to parties looking to maintain privacy and anonymity online, and at very little cost. Should this matter to you?

The short answer is yes for all marketers, SSPs and DSPs keen to ensure their ads are seen by real home users and not proxies. But residential IP proxies are difficult to detect, as they “look” just like legitimate home users in the marketer’s targeted geography. This is why it’s important to engage a partner that makes the necessary investments to stay ahead of the risks such networks create.  

Let’s discuss what residential IP proxy networks are, and why they should be on your radar. 

What is a Residential IP Proxy Network?

Residential Proxy IP networks are networks that use the IP addresses of consumers who sign up for any number of apps that pay them to share their internet bandwidth. Those apps become gateways for other clients of the app provider. Put another way, residential proxy networks enable consumers with residential internet access to “sublet” their IP address to residential IP proxy network subscribers, enabling their internet traffic to appear as if it is originating from the sublet IP address. Home computers, laptops, smartphones and tablets can all act as intermediary servers.

Obtaining Residential IPs for a Proxy Network

If a residential IP proxy network can sell thousands upon thousands of IP addresses to its clients, where and how do they obtain them? The networks rely on multiple strategies to build their pool of available residential IPs to proxy:

  • Consumers. Consumers play an important role in residential proxy IP networks, often unwittingly. The proxy networks tell consumers that by sharing their internet bandwidth, they can earn easy money. To get paid, all the consumer needs to do is install an app — Pawns.app, Honeygain, Peer2profit, PacketStream to name a few — and start collecting passive income. The amount of money they earn isn’t huge; payments range from $.20 per GB per shared data to $75 per month. Still, it’s easy money.
  • SDKs. Some residential IP proxy networks will provide an SDK to app developers who want to monetize their apps. Those SDKs will use the IP addresses associated with the devices on which that SDK is installed and make them available as part of their network.
  • Browser extensions. Some networks are able to convince the provider of a browser extension to include their code within that extension. Like the SDK example above, the IP addresses of the users who install that extension will be included in the residential IP proxy network.
  • Botnets. Some nefarious players leverage a botnet to obtain residential IP addresses.

While residential proxy IP networks have been available for some time, what is changing is the exponential growth in both the number of networks and their scale. Certain proxy networks boast access to hundreds of thousands of residential IP addresses, which are made available to anyone willing to pay. This escalation demonstrates the need for heightened vigilance and robust security measures to combat the risks associated with these networks.

How Residential IP Proxy Networks Harms the Digital Ad-Tech Sector

Once residential IP proxy networks have amassed a pool of IP addresses, they allow other entities to purchase residential IP addresses at scale, and from any region desired. Granted, there are some legitimate uses for these networks. Let’s say a CPG advertiser launches an advertising campaign in multiple countries, and wants to ensure that the ads render appropriately in each market. Residential IP proxies will enable that marketer to spot check ads in every location. 

But these networks also pose a significant danger to the ad-tech sector in that what looks like a residential user in an appropriate location may actually be a bot or malicious actor hiding behind a proxy. We have also seen evidence that bad actors leverage residential IP proxy networks to commit ad fraud, such as disguising a bot that has been programmed to click on ads, watch videos and even fill out surveys in order to earn commissions advertisers pay on campaign KPIs.

Another challenge Digital Element sees relates to the supply side. Many websites purchase traffic in order to increase the CPMs they can earn for their impressions. Residential IP proxy networks aid in fraudulent advertising by inflating or misrepresenting audience size, demographics and locations of users. 

On the demand side, similar challenges are encountered when advertisers experience artificially low conversion rates or artificially high impressions, which results in inefficient spending and poor campaign results.

SSPs
  • Do you know how valuable the traffic coming to your publishers is? 
  • Which of your publishers have high residential IP proxy network traffic?
  • How frequent is such traffic encountered?  
  • What is the lost value of this potentially fraudulent traffic?
DSPs
  • Do you know which ads are being displayed in front of real people?
  • Have you investigated the impact that residential IP proxy network traffic has on conversion rates?
  • What is the lost value of this potentially fraudulent traffic? 

How Digital Element Detects Residential IP Proxies

Digital Element devotes tremendous resources to maintaining the most accurate and meaningful IP geolocation and Proxy and VPN intelligence for our customers. Included in that is our ongoing focus on emergent technologies, such as residential proxy networks, to ensure our customers can depend on us not only for reliable geolocation data, but also insights regarding important shifts that could impact your business.

While there is not a simple solution, the first step is understanding how much of your incoming traffic is proxied to residential IPs. Digital Element can provide you with this understanding by uncovering IP addresses that are linked to, or have a history of, association with residential IP proxy networks or VPNs. 

IP addresses also contain a lot of contextual data that help us predict the legitimacy of a user behind a device. That contextual data includes attributes such as activity level and IP stability. We know, for instance, that proxied IP addresses are shared by clients all over the world, so they are likely to be seen in multiple locations. That’s an important insight; if an IP address remains consistently associated with a specific location for an extended period, it is less likely to be a proxy. 

IP address intelligence data, such as activity levels and stability, can’t decipher between legitimate and illegitimate users alone, but it can provide much-needed context that organizations need to make smart decisions to protect their advertising budgets.

Digital Element’s Nodify Threat Intelligence solution provides critical contextual information to help identify inbound or outbound traffic tied to VPNs, proxies, or a darknet. In turn, businesses are enabled with powerful insights that help them protect against nefarious actors while reducing risk and cost.

Focus on Residential IP Proxy Network Traffic this Cybersecurity Awareness Month

Cyber criminals are highly creative people who constantly innovate new ways to steal from innocent consumers and companies. Cybersecurity Awareness Month is a good time to take time out of busy schedules to do a deep dive on the cybercriminal’s newest tools.

If you’d like to learn more about Nodify and residential IP proxy traffic detection, visit https://www.digitalelement.com/nodify/ or reach out to sales@digitalenvoy.com 

What Is Location Intelligence? Understanding the Business Benefits

Location intelligence, or spatial data, is a powerful tool for businesses seeking a competitive edge. By harnessing the power of data visualization and analysis, location intelligence helps companies better understand their markets, customers, and competitors.

When you can analyze extensive amounts of location-based data, you can identify patterns and trends, make informed decisions, and develop effective strategies. 

This article will explore how location intelligence can help you make better business decisions and improve your business strategy while enhancing efficient processes.

What is location intelligence?

Location intelligence is the process of gathering, analyzing, and interpreting data based on location or geography. It uses Geographic Information System (GIS) technology to provide insights into specific areas or regions. 

Location intelligence helps companies better understand their customers, competitors, and the overall market. By mapping out the data, you can better identify patterns and relationships that may not have been apparent.

Location intelligence vs. business intelligence

Business intelligence involves analyzing data from various sources to identify trends and patterns to help your business make better decisions. 

Location intelligence is a subset of business intelligence, specifically focusing on using location or geography to provide insights. While business intelligence can provide a high-level view of the overall business, location intelligence provides more granular insights into specific areas or regions.

By combining location intelligence with other forms of business intelligence, you can gain a more comprehensive understanding of your data management and operations to make more informed decisions.

Why is location intelligence important?

Location intelligence is crucial because it provides your business with a wealth of insights to make better decisions and improve valuable metrics

Your business can better understand its customers, competitors, and markets by analyzing location data. This information can be used to identify new opportunities, optimize marketing campaigns, and improve operational efficiency.

Location intelligence can also help your brand identify risk areas and take proactive measures to mitigate those risks.

How location intelligence works

Location intelligence analyzes geographic data to identify patterns, trends, and insights. This data can come from various sources — like GPS devices, social media platforms, and mobile apps

The data then gets processed and analyzed with advanced algorithms and machine learning techniques to identify correlations and insights that would not be apparent by simply analyzing the raw data.

Once you identify these insights, they can help you make more informed choices — like where to open a new store, which products to stock, and how to target specific customer segments.

Industries and use cases for location intelligence

Now that you understand location intelligence and its inner workings, let’s explore the various industries that use it and how it helps them make better decisions. Leveraging location intelligence, you can gain valuable insights into business operations and customer behavior, allowing them to optimize your strategies.

Retail

In the retail industry, location intelligence is crucial for determining store locations, managing inventory, and building an effective marketing strategy. Analyzing data on foot traffic, demographics, and competitor locations, retailers can determine the best places for their stores and tailor their offerings to meet the needs of their customers.

For example, you may use location intelligence to identify the most popular shopping areas in a city and place their store nearby. You can also use this technology to determine which products are most popular in specific regions and adjust their inventory accordingly.

Logistics and transportation

Location intelligence is vital in route optimization, asset tracking, and supply chain management in logistics and transportation. When using GPS and real-time location data, your brand can track the location and status of its vehicles and assets, optimize routes to reduce fuel costs and delivery times, and make better decisions about inventory management.

For example, a logistics company may use location intelligence to track the location of their trucks and adjust routes in real time to avoid traffic congestion or road closures. You can also use this technology to monitor the temperature and humidity of your cargo, ensuring that perishable goods are transported under optimal conditions.

Food and beverage

Location intelligence is crucial in the food and beverage industry. Your business can gain insights into consumer behavior, demographics, and market trends by analyzing geospatial data. This information can help restaurants and other food establishments decide where to open new locations, what types of cuisine to offer, and how to price their products.

For example, your restaurant chain may use location intelligence to determine the optimal location for a new restaurant based on population density, income levels, and competition.

Construction

Location intelligence is also crucial in the construction industry. Through geospatial data, construction companies can better decide where to build, what materials to use, and how to optimize their supply chains.

For example, your construction company may use location intelligence to identify areas with a high demand for affordable housing. Then, you may use that information to determine where to build new developments. Additionally, location intelligence can monitor construction sites in real time, improving safety and productivity.

Insurance

Insurance companies can also benefit from location intelligence. Using analyzing geospatial data, insurers can better understand the risks of insuring properties in different areas.

For example, your insurance company may use location intelligence to determine the likelihood of a property being damaged by a natural disaster, such as a hurricane or earthquake. This information can help you set premiums that accurately reflect the risks of different properties. 

Further, location intelligence can detect fraud by analyzing patterns of claims activity in other areas.

Healthcare

Location intelligence plays a crucial role in the healthcare industry by providing valuable insights for decision-making.

For example, hospitals and clinics can use location intelligence to analyze demographic data and identify areas with a high incidence of certain diseases or health conditions. This information can help you allocate resources and develop targeted prevention and treatment strategies.

Energy and utilities

The energy and utilities industry relies heavily on location intelligence to manage infrastructure, assets, and resources. 

With location intelligence, your enterprise can monitor power grids and pipelines in real time, identify areas at risk of service interruptions or outages, and optimize maintenance and repair schedules. 

Location intelligence can also identify new areas for renewable energy development, such as wind or solar farms.

Government

Location intelligence is critical for government agencies at all levels. For example, local governments can use location intelligence to manage public safety and emergency response, including predicting and mitigating natural disasters. You can use location intelligence to manage infrastructure, transportation, and land use planning.

Location intelligence can also analyze demographic data, such as population density and income levels, to inform policy and resource allocation decisions.

Benefits of location intelligence

As we’ve seen, location intelligence has become increasingly important across various industries due to its ability to provide valuable insights. But what specific benefits does it offer? Below are some of the most significant advantages of location intelligence and how it can help you make better decisions for the future.

Enhanced decision making

Location intelligence enables businesses to make better choices by giving them a deeper understanding of their data. By analyzing data in the context of location, you can gain insights you may not have otherwise discovered. For example, a retailer can use location intelligence to analyze foot traffic in their stores and understand which products are famous in specific areas.

You can then use this information to optimize store layouts and product placements, leading to increased sales.

Revealing hidden patterns and enabling real-time understanding

Location intelligence can help identify hidden patterns and trends that may be difficult to detect using traditional data analysis methods. 

You can better understand your company’s operations by overlaying location data with other sources. Then, you can use location intelligence to track the movements of your vehicles and identify potential inefficiencies in their routes. From there, your company can adjust its operations to reduce costs and improve delivery times by identifying these inefficiencies in real time.

Competitive advantage

Location intelligence can give a competitive advantage by enabling data-driven decisions that are more accurate and timely than those made without location data. While leveraging location data, companies can identify new opportunities, optimize operations, and create better customer experiences.

Using location intelligence to understand customer behavior can create targeted marketing campaigns that are more effective than generic campaigns. This can increase sales and customer loyalty, giving the retailer a competitive advantage.

Risk reduction

Location intelligence can help reduce risk by providing insights into potential hazards, risks, and threats. When understanding the impact of natural disasters, disease outbreaks, or other events, your business can take steps to mitigate risks and protect their assets. Location intelligence can assess the risk of valuing a property based on its location and historical data.

Improved customer experience

Location intelligence can improve the customer experience by giving insights into customer behavior and preferences. You can understand where your customers come from, their interests, and how they interact with your business. This information can create personalized experiences tailored to customers’ needs and preferences.

How location intelligence software unlocks business value

Location intelligence software can drive business value by providing valuable insights into consumer behavior, market trends, and operational efficiency. For example, Digital Element provides a suite of location intelligence solutions that enable businesses to gather and analyze location data in real time.

You can then use this information to optimize marketing campaigns, streamline logistics and supply chain management, and improve overall customer experience. With our technology, your company can accurately identify a user’s location down to a zip code level, which can help improve targeting and personalize content. This can lead to increased engagement, better conversion rates, and, ultimately, higher revenue.

Empower your business insights with Digital Element

Location intelligence is a powerful tool that can help you make better business decisions, gain a competitive advantage, reduce risks, and improve customer experience. Your business can unlock additional value and business insights using our location intelligence software.

By harnessing the power of location intelligence, location intelligence platforms can help you drive growth and stay ahead of the competition. Our top advantage is that our technology enables your business to gather location-based information like IP addresses to make informed decisions about customers and operations. 

If you want to enhance your business insights and gain a competitive advantage, get started with Digital Element today!

Geo-Targeting: The Key to Effective Digital Advertising

With geo-targeting, brands, businesses, and marketers have a significant advantage over their counterparts from the past. The ability to pinpoint a specific location of your intended audience in real-time gives you a decisive competitive advantage.

Because of its ability to deliver relevant ads to specific buyers, this location-based targeting has revolutionized marketing campaigns and strategies.

In this comprehensive guide, we’ll review everything you need to know about geo-targeting marketing. By the end, you’ll better understand geo-targeting and its benefits. You’ll also know how to use geo-targeting to make your marketing efforts more effective and to help you get ahead of your competition.

Understanding geo-targeting

Geo-targeting is a modern and strategic approach to digital marketing which involves putting your ad directly in front of a potential customer based on their physical location.

In your geo-targeting campaign, you can reach your audience based on many location factors, such as behavior and location groups near a storefront, small business, or shopping center.

This powerful way of marketing helps you improve engagement and provide a significant experience that is relevant and drives better results.

How geo-targeting works in digital advertising

Geo-targeting uses location-based data to deliver ads to your intended audience, combining the physical and digital realms. This predominantly works in two ways:

  • Audience targeting: As the name suggests, audience targeting focuses on selecting a target audience for your marketing campaign. You engage all relevant ad platforms and base your audience on psychographic, behavioral, and demographic factors.

This is a solid way to captivate your intended audience at different locations as you focus on their specific interests and make calculated choices from referenced data. You can also refine your audience targeting further by incorporating a user’s location.

  • Location targeting: Location targeting focuses on creating an advertising platform based on a user’s location and foot traffic. A popular method is geofencing, which uses GPS data to create boundaries and send Google ads, Facebook ads, and even push notifications to your audience’s mobile phone.

You can get as specific or broad as possible by selecting the region, neighborhood, or city where you’d like to deliver your ads.

When combined with the power of audience targeting, geo-targeting is a highly effective way of putting your practical solution in front of the right audience at the right time and place.

How to set up geo-targeting advertising

Now that we’ve explored the fundamental aspects of geo-targeting, you may be wondering how exactly you can harness the power of this robust solution.

Below, we’ve outlined some of the most practical ways to incorporate geo-targeting into your next location-based marketing campaign.

1. Choose the right platform

The platform you choose is perhaps the most critical step in geo-targeting. While the effects may be straightforward, the end-to-end process contains many moving parts that can be difficult to tie together.

You want a platform that has dynamic capabilities that align with your brand and goals. Optimizing location data, targeting local prospects, and launching meaningful (and timely) ad campaigns must work in concert for your marketing strategy to be successful.

At Digital Element, we deliver on our promise to provide the most accurate and highest quality data to our clients and partners. Our robust platform is a trusted provider of IP geolocation and intelligence solutions which help to unlock the full potential of your team and brand.

Learn how we use our world-leading IP address geolocation data to produce localized content, enhance your analytics and create a robust, targeted ad strategy.

2. Set up your target parameters

Once you have the right system and tools, start working on your next campaign. Setting up suitable parameters has everything to do with what action you want your target audience to take.

Your radius targeting strategy should be in a determined place, such as a specific area, specific countries, or even specific business locations.

Remember to narrow your focus to ensure your ads reach the right audience. Sometimes it may be tempting to increase your boundaries to a broader circumference, but this may not necessarily help your efforts.

A great way to do this is to set up areas around brick-and-mortar stores, as your ideal buyer will already be in a purchasing mindset.

For example, if you’d like to set up a discount campaign on bicycles, targeting bike repair shops, equipment stores, and the surrounding area may be more beneficial than an entire region.

3. Create your ads

This is where creative liberty kicks in. Establishing the right platform and setting up your boundaries is the groundwork. Now it’s time to start building.

Always begin by analyzing what data you have in front of you, especially the one leveraged through your comprehensive platform solution.

No one wants to feel like they’ve been “sold.” Keep the user experience high throughout the journey by putting yourself in the customer’s shoes.

Craft a compelling ad that will resonate with your target users. A specific pain point and a sense of urgency will get you the right customers.

In collaboration with the specific area you have outlined in the previous step, your user will receive these notifications in a way that is meaningful to them and will feel compelled to take action.

4. Track and monitor your results

Success isn’t just luck. As a marketer or business, you know that consistency is vital when creating a new campaign. By leveraging the right platform, setting up the correct parameters, and crafting an enticing ad, you can get the data necessary to make further choices.

Track your key metrics that make sense to the specific campaign you have launched. Your PPC and search engine ads can deliver valuable feedback such as impressions, clicks, and those who have taken action.

Wherever possible, use a data-driven approach to evaluate your engagement rates and where you can improve them. Sit down with your team to make a plan of action to regularly review ad performance campaigns and determine what changes you can make, if any.

Geo-targeting methods for reaching target audiences

At this stage, you have all the preliminary knowledge to launch and evaluate your first geo-targeting campaign or improve upon an existing one.

As you explore the decisive difference between geo-targeting campaigns, you’ll want to dive further into the intricacies of your targeting options to reach your desired audience effectively.

IP targeting

Your target consumer will have a unique IP address associated with their internet connection. Anyone on a Wi-Fi network at this IP address can see your ad or campaign.

This type of targeting is beneficial in places where you know your users will frequently assemble so that you can inspire and compel them to action with a quick turnaround.

Malls are a great example of IP targeting, where everyone connects to the same network. Present a deal on baked goods around lunchtime at a mall on Saturday, and you may see some great results.

GPS targeting

GPS will always be a primary factor when considering your options, especially if you aren’t sure of the specifics of your user’s behavior — or if you’re trying to cover a larger area.

Targeting a geographic location may not necessarily present your ad to a single audience, so it may not be the best strategy in all situations.

For example, targeting a city may not make sense for a specific product or service. On the other hand, it’s a great way to get people excited about an upcoming event, festival, or local fundraiser.

Geo-fencing

Geo-fencing describes setting up a virtual boundary in the physical world in real-time. Once a user steps within the pre-determined boundary, it triggers your ad delivery.

Geo-fencing helps deliver powerful messaging to consumers that crave both trust and solutions in the messaging they see. This strategy enables you to set up different “clusters of similarity” through radius targeting to engage the right audience in your campaign.

Geo-fencing can ensure you run time-sensitive ads that bridge the connection between the real and digital worlds. It can also help improve your GPS targeting and help you better design campaigns catered to the device your audience will be viewing it on.

Location-based mobile advertising

You can combine various techniques into a location-based mobile ad campaign, including GPS targeting, geofencing, and IP targeting. Many of your consumers will likely have their smartphones on them at all times, which always helps you to deliver your contextually relevant ads.

This approach effectively drives foot traffic to brick-and-mortar stores, local events, and even limited-time offers.

Social media targeting

Geo-targeting takes a new twist on an old method. Social media marketing has been around for a long time by marketing standards. Of course, the global audience network connects on many different social media platforms where they can engage, interact, and share with others.

Social media targeting involves both organic and PPC campaigns. With geo-targeting, Facebook ads, Google ads, Snapchat posts, LinkedIn ads, and similar strategies are much more effective.

While social media targeting is primarily behavior and audience specific, you can combine this with your audience’s location to deliver timely, relevant, contextual ad campaigns.

This method is helpful for more specific and defined audiences. For example, targeting pet owners in a specific city who enjoy the outdoors and inviting them to local events like summer hiking with their furry friends.

Cross-device geo-targeting

Geo-targeting doesn’t just stop at choosing specific (or broad) locations, but the display. You’ve spent weeks creating the perfect campaign and selecting the proper parameters and creatives — but it won’t be effective if no one sees it.

There are many situations where a customer may not have a phone with an internet connection or push notification to see your ads. For example, airlines install tablets in some of their planes, and business conferences provide laptops, desktops, and other displays.

Choosing different platforms and devices to deliver your message makes sense if you want to target similar audiences.

Benefits of geo-targeting advertising

Learning more about the technology behind geo-targeting and its applications in marketing is vital to understand the holistic benefits of employing it in your strategy.

Once you have tested different parameters, methods, and delivery channels, you can refine your data-driven approach to reach your intended audience.

Here are some remarkable benefits you can enjoy when harnessing the power of location-based advertising:

  • Increase click-through rates.
  • Increase conversions.
  • Reduce costs.
  • Benefit SEO efforts.
  • Coordinate e-commerce and brick-and-mortar campaigns.
  • Improve ROI.
  • Reach a wider audience.
  • Target your ads to specific demographics.
  • Target your ads to specific interests.
  • Create compelling and engaging ads.
  • Collect more meaningful insights into your audience.

Geo-targeting simplified with Digital Element

Geo-targeting is becoming increasingly vital to aiding digital advertising efforts. No doubt geo-targeting can complement and improve your current advertising strategy.

This guide walked you through the importance of setting up targeting parameters, creating great ads, tracking your results, and choosing the right platform to tie it all together. With the different geo-targeting methods at your disposal, you can create a hyper-focused campaign that drives results.

Digital Element is a leader in geolocation technology that empowers businesses with solutions through reliable and precise data. Unlock your brand’s potential and find out more about our IP geolocation today.

Contextual Advertising 101: How To Reach Your Audience With Relevant Ads

Contextual advertising is an adtech approach that helps brands reach new customers and target audiences more naturally with relevant content. It’s a powerful addition to your company’s marketing strategy, though as with many advertising solutions there’s a lot going on behind the scenes to make the magic happen.

Below, we’ll show you what contextual advertising is and how it’s different from behavioral targeting. We’ll walk through common types of contextual targeting and the benefits you stand to gain by adopting this system. We’ll finish with some practical steps for getting started with contextual advertising.

What is contextual advertising?

Contextual advertising is a digital marketing technique that takes a modern approach to ad targeting, serving up ads based on the context in which the ads will be shown. It’s a rapidly growing market that one industry think tank projects will reach $562.1 billion by the year 2030. Contextual advertising is less invasive than behavioral targeting (more on that below) and leverages factors that include:

  • The site or type of content on the site where the ad appears
  • The location of the viewer (using geolocation data)
  • The weather in that location

Contextual advertising could, for example, show ads for baseball cleats on a webpage full of content about improving a particular baseball skill, but show ads for MLB.tv when the content is about how a particular professional team performed last night.

For a while, contextual advertising fell out of favor due to the inability to understand the content of the page (airline ads appearing next to stories about airline crashes). To avoid brand safe placements, the industry moved to behavioral targeting. However, over the past 10 years, two important developments emerged:

  1. The consumer rebelled against the kind of tracking that is part and parcel of behavioral targeting. The regulators stepped in, introducing privacy laws to curb it.
  2. Various forms of AI now allow us to understand the sentiment of an article (e.g., distinguish between a story about flying off to romantic getaways and one about plane crash). Computer vision allows us to assess images. As a result, we are much better at assessing context for targeting purposes.

By using contextual clues fed into machine learning, contextual advertising systems can “see” the difference in audience: The first reader is much more likely to be an active player who might need to purchase cleats, while the second reader is much more likely to be a fan who might pay for Major League Baseball’s premium streaming service.

Contextual advertising vs. behavioral targeting

Contextual advertising is based on the context of an impression and some user properties — the type of device the ad is seen on, for instance. Contextual targeting is inherently privacy compliant because the consumer’s behavior isn’t tracked. 

Behavioral targeting looks at what the individual reader has been doing: if the user has been searching for baseball cleats and is then inundated with ads for baseball-related products on social media, that’s retargeting based on past behavior. Another example is when a user visits your website and then seems to see your advertisements all over the internet for a few days.

In general, behavioral targeting looks at what an individual user has been doing, using cookies to track their activity across the web. The results can be effective, but they can also be downright creepy — and they sometimes run afoul of privacy regulations.

Contextual advertising doesn’t look at the behavior of the individual user, but at the content and context of the destination. It’s an intelligent way to serve up ads that provide many of the same benefits as targeted behavioral advertising, but without the privacy concerns or potential for inaccuracies. For example, behavioral targeting may assume that because someone is visiting a parenting site, they must be female identifying and between the ages of 25 and 45. However, it doesn’t account for the fact that the person could just be visiting the site to order a gift for someone else.

Types of contextual advertising

Contextual advertising uses a range of context factors to determine what the ad should be about. But what do these ads look like?

It depends on the medium or type.

For example, consider a car ad shown in February. You can use the location context to customize an ad creative so it resonates with a reader. If the viewer is in Michigan, the car will have snow tires and be pictured driving over snowy terrain. But if the viewer is in Florida, the car may have the top down with a surfboard sticking out of the trunk. 

Most of the typical internet ad formats can support contextual advertising. Here’s how it looks across four common digital advertising methods.

Text-based contextual advertising

Text-based ads are ads that rely on words alone (or nearly so) to get the message across. These include:

  • Paid search ads (the listed results are text-dependent)
  • Google Ads (dynamic, auto-formatted text ads that appear across the web)
  • Ad-oriented chatbots

Each of these ad formats can work in contextual advertising settings.

Image-based contextual advertising

Image-based banner ads are arguably the most familiar ad format online, and these are a very popular choice for contextual advertising. The sorts of pages that most naturally support banner ads (blog posts, articles, etc.) offer up a trove of contextual information — and there has been a lot of tech development to ensure brand safety.

For example, an article on the best fiction books of 2023 is a great place for contextual ads on e-readers, reading glasses, reading lights, and so on.

Video contextual advertising

The ads populating YouTube are very often contextual: they have something to do with the video topic rather than whatever you were searching for online yesterday.

In-game contextual advertising

Video games that serve up ads can also use contextual advertising. For example, if you play a Sudoku or solitaire game that has ads, you probably get ads for other puzzle and card games. And if you play it on your iPhone, chances are those ads will be for iPhone apps available on the Apple App Store (not Android or PC exclusives).

Benefits of contextual advertising

So why are businesses gravitating toward contextual advertising over other approaches? Because contextual advertising gets results.

Consider these five powerful benefits businesses that advertise online can enjoy when they use contextual advertising strategies.

Better user privacy

First, contextual advertising doesn’t require cookies or personal information to be effective, so it’s capable of delivering a better user privacy experience.

This is a benefit in the abstract, but it has real-world implications as well: With GDPR classifying the data contained in cookies (a requirement for behavioral advertising) as personal information, managing user data is more complex than it used to be, and significant fines aren’t unheard of for businesses that get it wrong.

Improved targeting

Contextual ads are almost always relevant: The sites you might visit to learn how to fix a television are perfect destinations for big-screen TV ads. And once you’re done with your repair, you’re done seeing TV-related ads.

That’s the consumer perspective, but the business side isn’t that hard to work out: better targeting means better results.

Increased engagement rates

Some percentage of behavioral targeting ads are 100% irrelevant. Irrelevance occurs when:

  • The person has already bought the item in question
  • The behavior being targeted wasn’t actually related to a user’s needs (the ads from your work search history rarely lead to purchases at home)
  • An otherwise-relevant ad shows up in a jarring location (even though I use CRM software and enjoy playing solitaire, I’m not likely to buy CRM software while playing Solitaire on my phone, nor am I likely to buy Solitaire Ultra Deluxe while using a CRM)

Simply put, contextual ads don’t have this problem nearly as often because they relate to the context of the page where they appear, they nearly always make sense.

It doesn’t exactly take a panel of experts to conclude that ads that make sense to the user’s context at a moment in time get more engagement than ads that don’t. But as it happens, the experts (and their research) agree: One detailed study found 43% more neural engagement with contextually relevant ads. Not only that, people were more than twice as likely to remember the content of the ad!

Enhanced user experience

Not only is contextual advertising a privacy win in terms of compliance with ever-evolving privacy regulations, but it also offers a better user experience. Despite how effective behavioral targeting can be, a significant slice of end users do not like it — and people are becoming more aware of it.

Startpage found that 42% of American users felt uncomfortable when they noticed receiving ads targeting specific behavior or traits.

In contrast, contextual advertising simply places ads relevant to the content the user is viewing. These ads are often just as relevant, and (as we noted above) people tend to accept them more easily because they make logical sense where they are. A smoother, less jarring user experience free of friction and dissonance is simply better for users. 

How to get started in contextual advertising

We’ve described how contextual advertising works in relatively simple terms because the concepts themselves are pretty simple. Any human could easily look at an article or page, determine what it’s about, and assign contextually relevant ads.

But humans aren’t doing this work manually (imagine the scale or sheer number of workers that would take!). Instead, digital systems must evaluate website content (and other factors) in real-time. So while understanding contextual advertising is pretty simple, actually executing it is a bit more complex.

Here’s how it works.

Contextual advertising relies on  several types of contextual signals that will have a direct impact on the user experience. These signals can include content and images to see if they are relevant to a brand and meet their brand safety standards. 

Importantly, it can also include IP address intelligence data — which can give us very useful information like the user’s location, device type and connection speed. The systems that make this happen are algorithm-driven and AI-infused, and they rely on techniques to refine this work and approach human-like levels of decision-making (only much, much faster).

It’s not the sort of thing that usually happens in-house.

Most businesses getting started in contextual advertising will rely on a partner that focuses on this discipline. The business needs to develop the ad campaigns and the associated landing pages (for best results, those personalized ads need to land on equally personalized landing pages), but usually the third-party ad partner handles the contextual placement.

Establish an effective contextual advertising strategy with Digital Element

Contextual advertising makes sense for just about any brand or business that devotes some of its marketing budget to online advertising. Using geo-location data can help brands create more personalized ads based on non-invasive information like weather or local language.

But building an effective contextual advertising strategy comes with upfront technical questions, including a big one: Where will you get the data to inform your contextual decisions?

Digital Element is the leading provider of geolocation and ad targeting data, giving you key data insights about your audience that can fuel both your contextual advertising strategy and your broader marketing analytics.

Learn more how Digital Element can help you understand your audience better and benefit your contextual advertising campaigns.

Mobile Targeting: The Secret To Increasing Your Website Traffic

Think about the last time you’ve been in a situation without access to a smartphone. Mobile devices have become an integral part of our lives, making mobile targeting a crucial aspect of any marketing strategy. After all, marketers need to be where the attention is.

Mobile targeting refers to tailoring advertising messages and content to specific mobile users based on location, demographics, behavior, and interests. With most internet users accessing the web via mobile devices, mobile targeting allows businesses to reach and engage with their target audience more efficiently.

This guide will explore the various techniques and best practices for mobile targeting, including location-based targeting, in-app advertising, mobile search advertising, and more — and dispel misconceptions about mobile phones and smartphone users.

The different types of mobile targeting

Now that we have a better understanding of what mobile targeting is, let’s dive into the different types of mobile targeting that can be used to reach your audience effectively.

Geo-targeting

Geo-targeting is a type of mobile targeting that uses geographic location data to deliver ads to users in specific locations. You can target users based on their current location, home, or work location. 

This type of targeting is helpful for businesses with physical locations, as they can target users in their area and encourage them to visit their store. Geo-targeting can target users at specific events or certain neighborhoods to promote events or products.

Use cases

  • A retail company uses geo-targeting to send mobile app push notifications to users near their stores, offering them a discount or promotion to encourage them to visit the store.
  • A restaurant chain uses geo-targeting to show mobile ads to people in the same city as their restaurants, promoting their menu items and driving traffic to their locations.
  • A real estate agency uses geo-targeting to position itself as an authority in the local market, showcasing the homes they’ve sold to prove their value to other prospective sellers in the area.

Time targeting

Time targeting is mobile targeting that allows advertisers to reach users at specific times or days of the week. With time targeting, you can target users during specific hours when they’re most likely to be engaged with their mobile devices — like during the morning rush hour, when they’re likely to be on a commuter train

This type of targeting is helpful for businesses that want to promote particular products or services during certain times, such as restaurants advertising their lunch specials during midday.

Use cases

  • A coffee company uses time targeting to show ads promoting their products during the morning rush hour when people are most likely looking for a caffeine boost.
  • A fitness app uses time targeting to show ads for their workout plans and gear after work hours when people may be more likely to have time for a workout.
  • A music streaming service uses time targeting to show ads for their premium subscription during the evening hours when people may be more likely to be at home and listening to music.

WLAN/3G targeting

WLAN/3G targeting is a type of mobile targeting that uses information about a user’s Wi-Fi or mobile data connection to deliver ads. You can reach users connected to Wi-Fi or mobile data networks and tailor your ads based on their network speeds. 

This type of targeting is helpful for businesses with data-intensive products or services, such as video streaming services, as they can target users likely to have fast network speeds and be more receptive to the ads.

Use cases

  • A mobile game company uses WLAN/3G targeting to show ads to users playing other mobile games, promoting their own game as a similar option.
  • A ride-sharing app uses WLAN/3G targeting to show ads to users in a car or public transportation, promoting their service as a convenient alternative.
  • A video streaming service uses WLAN/3G targeting to show ads to users on long flights, promoting their service as a way to pass the time and watch movies in flight.

Terminal device targeting

Terminal device targeting involves specific mobile devices like smartphones, tablets, or feature phones. This can help advertisers reach particular audiences more likely to use specific devices. 

For example, an advertiser promoting a gaming app may target devices with larger screens and more processing power to ensure a better user experience. Terminal Device Targeting can also exclude specific devices or ensure ads are displayed correctly on a particular device.

Use cases

  • A food delivery app targets smartphones with GPS capabilities to show nearby restaurants and delivery options.
  • A mobile game developer targets devices with high processing power and larger screens to show high-quality graphics and gameplay.
  • An e-commerce site excludes feature phones from its targeting to focus on users with higher purchasing power.

Operating system targeting

Advertisers can optimize their ads for a specific operating system or exclude users with certain operating systems to focus on their target audience. Operating system (OS) targeting covers specific operating systems like iOS, Android, or Windows Mobile. 

This can help advertisers reach users more likely to use a particular operating system.

Use cases

  • An app developer may target iOS users with higher purchasing power for in-app purchases or subscription-based services.
  • An Android app developer may target users with lower-end devices to promote lighter-weight apps that can run smoothly.
  • A game developer may optimize their game for iOS to take advantage of the higher revenue potential from the Apple App Store.

Provider targeting

Provider targeting concerns specific mobile carriers or service providers, such as AT&T, Verizon, or T-Mobile. Advertisers can optimize their ads for a particular provider or exclude users with specific providers to focus on their target audience

This type of targeting can help advertisers reach users who are more likely to use a particular carrier or service provider.

Use cases

  • A mobile network provider may target users of other providers to promote their services and special offers.
  • A music streaming service may target users with unlimited data plans to encourage more streaming and less concern about data usage.
  • A travel booking app may target users of certain providers with international roaming packages to promote travel-related services.

Category targeting

Advertisers can optimize their ads for a specific app category or exclude users with certain categories to focus on their target audience. Category targeting focuses on specific categories of mobile apps, such as sports, news, or social media

This type of targeting can help advertisers reach users who are more likely to use certain types of apps.

Use cases

  • A sports apparel brand may target users of sports-related apps to promote its products to a relevant audience.
  • A news publisher may target users of news apps to promote their articles and drive traffic to their website.
  • A social media platform may exclude users of competing social media apps from focusing on their user base and increasing engagement.

Tips for effective mobile targeting

Mobile targeting has become a required component of any successful marketing strategy. However, with the increase in mobile devices, ensuring your marketing efforts reach the right audience can be challenging. Below, we’ll provide tips for effective mobile targeting to help you connect with your target audience and drive conversions.

Tap into location intelligence

Location intelligence uses geospatial data to gain insights and understanding about a particular location. In mobile targeting, IP address geolocation data identifies a user’s location and targets them with relevant advertising. By tapping into location intelligence, companies can better understand their target audience and tailor their advertising efforts to match their interests, behaviors, and preferences.

The keys to effective location intelligence

To effectively leverage location intelligence, companies need to focus on four key factors: speed, accuracy, compliance, and reliability.

  • Speed: Location data needs to be processed in real-time to be useful for targeting. Fast processing speeds are fundamental for delivering opportune, relevant advertising to users.
  • Accuracy: Location data must be highly accurate to ensure ads are delivered to the right audience. Inaccurate data can result in wasted ad spend and a poor user experience.
  • Compliance: Companies must follow privacy regulations when collecting and using location data. Failure to comply with regulations can result in fines and damage the brand’s reputation.
  • Reliability: Location data needs to be reliable and consistent to ensure that ads are delivered to the right audience at the right time. Inconsistent data can lead to missed opportunities and wasted ad spend.

Choose the right targeting criteria

Setting up your mobile targeting campaign can involve many criteria, including location, time of day, device type, operating system, and more. Choosing the proper criteria is crucial, as it can determine the effectiveness of your campaign. Ensure you clearly understand your target audience and what criteria will be most effective in reaching them.

Create engaging and eye-popping ads

Creating fantastic content is vital, with many mobile ads vying for attention. Engaging, eye-catching ads highlighting your brand’s unique value proposition can help grab potential customers‘ attention and encourage them to act.

Track and monitor the results of campaigns

Tracking and monitoring the results of your mobile targeting campaigns is indispensable for determining their effectiveness and identifying areas for improvement. Make sure you have a clear understanding of what metrics you’ll be tracking and how you’ll be collecting and analyzing data.

Select ads that are relevant to your brand

Finally, ensuring that your ads are relevant to your brand and the message you’re trying to convey is paramount. Determining the alignment of your ads with your brand’s core values and positioning can help build brand recognition and loyalty among potential customers.

A note on IP targeting for mobile users

As more and more users access the internet through their mobile devices, IP targeting becomes an increasingly important part of mobile marketing strategy

IP targeting for mobile users enables companies to tailor their mobile ads to specific audiences based on location, and device type to help them reach their mobile audiences more precisely and effectively.

Expand your mobile targeting with Digital Element

Effective mobile targeting is critical to the success of any modern marketing campaign. Companies can reach and engage their mobile audiences more effectively by tapping into the power of location intelligence, selecting the proper targeting criteria, creating engaging ads, and tracking and monitoring results.

With our unmatched tools for ease of use and IP solutions, Digital Element can help your company take its mobile targeting to the next level. Learn more about how we can help you optimize your mobile marketing efforts and get started!

How To Use Location-Based Advertising To Reach Your Target Audience

The world of mobile marketing is constantly evolving, with businesses always looking for new and innovative ways to reach their target audience.

One such approach that has gained significant traction in recent years is location-based advertising. For example, by targeting via IP address intelligence data, businesses can know whether a user is a New Yorker and not allowed to use a gambling app for New Jersey residents.  

In this article, we’ll look closer at location-based advertising, explore some of its benefits and challenges, and highlight real-world examples of companies successfully utilizing this marketing strategy. Whether you’re a seasoned marketer or just starting, read on to discover the next frontier in mobile marketing.

Types of location-based advertising

Let’s face it; we’re moving toward a mobile-first environment. Location-based advertising has become a powerful tool for businesses looking to connect with their customers more personally. Several types of location-based advertising are available, each with unique advantages and use cases.

Geotargeting

Geotargeting targets users based on their geographic location. This technology utilizes IP addresses to determine a user’s location, allowing businesses to deliver ads tailored to that location.

Use cases for Geotargeting

  • Businesses can offer promotions and deals to users within a certain radius of their physical store. This is a great way to drive foot traffic and increase sales.
  • Brands can target users attending a specific event or festival and offer exclusive deals or promotions.
  • Using geotargeting, businesses can personalize their messaging to specific regions or cities, making their ads more relevant.

Geofencing

Geofencing is a strategy that involves setting up a virtual perimeter around a specific geographic location. This boundary is designed to trigger a notification or message to users as they enter or exit it.

The technology behind geofencing relies on GPS or RFID to determine a user’s precise location, allowing businesses to deliver targeted and relevant advertising messages to their audience. With geofencing, companies can effectively target consumers within a specific geographical area, enabling them to deliver tailored and personalized messages more likely to resonate with their audience, even through their mobile apps.

Use cases for geofencing

  • Businesses can use geofencing to deliver ads to users in a specific location, such as a mall or a park. This can be particularly effective for businesses targeting users likely to be interested in their products or services.
  • Businesses can use geofencing to offer tips or promotions to users who enter their store or location. This can greatly incentivize customers to visit a business and increase foot traffic and potential customers.

Mobile targeting

Mobile targeting involves targeting users based on their device’s location data. This type of advertising uses GPS data or IP addresses to track a user’s location and deliver relevant ads to them. Mobile targeting can be done in real time, allowing advertisers to send targeted messages to users based on the site.

Use cases for mobile targeting

  • Restaurants can use mobile targeting to reach nearby users and send them promotions or special offers through push notifications.
  • Retail stores can use mobile targeting to send personalized messages to users near their stores, encouraging them to visit and purchase.
  • Hotels can use mobile targeting to reach users in the area and promote special deals or discounts on room rates.

For more information on Mobile Targeting, check out our upcoming post: “Mobile Targeting: The Future of Location-Based advertising

Geo-conquesting

Geo-conquesting is a location-based advertising approach that targets users near a competitor’s business location. Using geolocation data, businesses can identify users visiting a competitor’s store and send targeted messages to entice them to switch to their brand. This type of advertising can effectively attract customers already in the market for a product or service.

Use cases for geo-conquesting

  • Fast-food chains can target customers near a competitor’s location with a promotion or discount offer to entice them to visit their restaurant instead.
  • Car dealerships can target people visiting a competitor’s location and offer them a test drive of a similar car model with a better financing option.
  • Hotels can target people staying at a nearby competitor’s property and offer them a discount or upgrade to switch to their hotel.

Best practices for launching a location-based advertising campaign

To successfully launch a location-based advertising campaign, there are certain best practices that marketers need to follow. These practices help businesses better understand their target audience and create personalized messaging that resonates with them.

This section will discuss some of the most effective best practices for launching a location-based advertising campaign.

1. Understand your target audience and create a plan

The first step in launching a successful location-based advertising campaign is understanding your target audience. This means researching to gather data on their behavior, preferences, and habits. 

Once you understand your target audience, you can create a plan tailored to their needs and interests. This may involve using different types of location-based advertising, such as geotargeting or geofencing, depending on the preferences of your target audience.

2. Tell a story by using personalized messaging

Personalized messaging is a powerful tool for creating an emotional connection with your target audience. Using customized messaging, you can tell a story that resonates with your target audience, encourages them to act, and, more importantly, build trust. This may involve using location-specific languages, such as referencing nearby landmarks or events, to make your messaging more relevant and relatable.

3. AB test campaigns

AB split testing is a common practice in digital marketing that involves testing two different campaign versions to see which performs better. This can be especially effective when launching a location-based advertising campaign. It allows you to try different messaging or other targeting options to see which resonates best with your target audience

Always split-testing your campaigns can optimize your results and ensure you get the most out of your advertising budget.

4. Make sure ads aren’t disputing user experience

Guaranteeing that ads don’t disrupt the user experience is a critical best practice when launching a location-based advertising campaign. Intrusive ads can annoy users and negatively impact their mobile experience, potentially decreasing customer engagement, brand awareness, and ad spend.

To prevent this, it’s essential to consider the frequency and timing of your ads and the content and format. For example, it’s best to avoid ads that pop up suddenly and cover the entire screen, which can be particularly annoying.

Instead, opt-in for less intrusive formats such as banner ads or native ads that blend in with the app or website’s content. By contextualizing your digital advertising, you can create a positive customer experience that promotes local businesses and supports your location-based marketing strategy.

5. Collect proper location data

Accurate location data is crucial to the success of a location-based advertising campaign. To collect valuable location data, ensure that your app or website is set up to track user location data accurately. You can do this with GPS, Wi-Fi, and cellular data. Obtaining the user’s permission before collecting data is vital to ensure you comply with privacy regulations.

6. Analyze and adjust the budget according to performance

After launching a location-based advertising campaign, regularly analyze and adjust your budget according to performance. This involves tracking metrics such as click-through rates, conversion rates, and ROI to determine the effectiveness of your campaign. 

Based on these metrics, you can adjust your budget and optimize your ad targeting to improve performance. For example, if you find that specific locations or demographics are responding particularly well to your ads, you can allocate more of your budget toward targeting those areas or audiences.

Best location-based advertising tools

As location-based advertising grows in popularity, businesses need the right tools to target their audience effectively. This section will introduce some of the best location-based advertising tools available today.

Digital Element

Digital Element is a geolocation technology provider that enables businesses to determine a user’s location based on their IP address. Our tool is excellent for location-based advertising because it allows businesses to create personalized content and targeted ads based on a user’s location. 

Digital Element’s technology is highly accurate and provides real-time data, making us a valuable asset for businesses looking to launch location-based advertising campaigns.

Ready to take your location-based advertising campaigns to the next level? Don’t miss the opportunity to enhance your marketing strategy and drive more conversions: Browse our website and discover how our innovative tools can help you reach your target audience precisely and effectively! 

Semrush

Semrush is a marketing toolkit that includes features for location-based advertising, among other tools. It gives businesses insights into their target audience‘s online behavior and helps them create effective marketing campaigns

Semrush allows companies to track their competitors’ online presence and monitor their performance, making it a valuable tool for businesses looking to launch successful location-based advertising campaigns.

Semrush’s location-based advertising features allow businesses to track their local search rankings, monitor local reviews, and analyze their competitors’ local SEO strategies.

HYP3R

HYP3R is a location-based marketing platform that enables businesses to engage with consumers in real time by leveraging location data from social media. The tool allows marketers to track and analyze customer behavior, gather insights, and target specific audiences based on their location and social media activity.

Flame analytics

Flame analytics is a location-based analytics tool that helps businesses understand customer behavior and optimize their marketing strategies. The agency provides real-time data on foot traffic, dwell time, and customer demographics, allowing companies to tailor their messaging and offerings to their target audience.

Uncover 40+ data points to refine location-based advertising with Digital Element

Digital Element is a powerful tool for location-based advertising that offers over 40 data points to refine ad targeting. With our data, marketers can improve the accuracy of their campaigns, boost engagement rates, and ultimately drive conversions.

By leveraging various techniques and tools, marketers can use Digital Element to create highly targeted and personalized campaigns that resonate with consumers on a deep level. With the right approach, businesses can unlock tremendous value from location-based advertising efforts and succeed.

To learn more about how Digital Element can help you optimize your location-based advertising campaigns, browse our website today.

What Is CTV Advertising? Understanding What It Is and How It Works

In recent years, advertising has undergone a massive transformation through different types of technology and new information. One of the most significant developments is in  Connected TV (CTV) advertising.

CTV advertising is digital advertising that involves running ads on internet-enabled television sets or devices. With more people streaming content on their smart TVs, CTV advertising has become an increasingly popular medium for marketers to reach their target audiences.

This post will dive deep into CTV advertising, how it works, and its uses for making a more meaningful connection with your viewership.

What is CTV advertising?

CTV Advertising is digital advertising that delivers ads through internet-connected TV sets or devices. CTV stands for Connected TV, which refers to television sets that can connect to the Internet to stream content from various providers such as Hulu, Netflix, and Amazon Prime.

CTV devices include smart TVs, streaming sticks like Amazon Fire Stick and Roku, gaming consoles like Xbox and PlayStation, and other devices that allow users to stream content over the Internet.

Digital Element, a leading IP geolocation provider, is connected to CTV advertising by enabling advertisers to target audiences based on location data. This helps advertisers deliver more relevant ads to their target audiences, leading to better engagement and higher conversion rates.

What is the difference between OTT and CTV?

If you’re new to the world of streaming, it’s easy to get confused between CTV and OTT. While both technologies are related to video streaming, they are different.

CTV, which stands for Connected TV, refers to any TV connected to the Internet, such as smart TVs, gaming consoles, and streaming devices like Apple TV and Roku.

OTT, on the other hand, stands for Over-the-Top, and it refers to any video content delivered over the Internet, bypassing traditional cable and satellite providers. In other words, OTT provides TV and video content that doesn’t require a cable or satellite subscription.

The critical difference between CTV and OTT is that CTV refers to the device, while OTT refers to the content delivery method. While all CTV devices can stream OTT content, not all OTT content is available on CTV devices.

Some popular OTT platforms include Netflix, Hulu, Amazon Prime Video, and Disney+. These platforms offer movies and TV shows that can be streamed on multiple devices, including CTVs.

Why CTV advertising is important

CTV advertising has gained immense popularity recently, and for a good reason. It offers several positive features that traditional advertising methods cannot match.

Firstly, CTV advertising allows businesses to reach a highly engaged and targeted audience. With more and more people shifting from traditional TV to CTV, companies can reach a younger, tech-savvy audience who prefer to watch their favorite shows and movies on streaming devices.

CTV advertising also gives businesses greater control and flexibility over their ad campaigns. Advertisers can customize their ads to target specific demographics, geographic locations, and interests.

This allows corporations to maximize the effectiveness of their ad campaigns and achieve a higher return on investment. Additionally, CTV advertising offers greater transparency and analytics, allowing businesses to measure their ad campaigns’ success accurately.

Another significant feature of CTV advertising is that it provides a non-intrusive way for your firm to advertise its products or services. Unlike traditional TV ads, which are often skipped or ignored, CTV ads are less likely to be ignored or overlooked. This is because viewers cannot fast-forward through CTV ads, which are usually short and to the point. As a result, CTV advertising has a more meaningful and less intrusive interaction than traditional TV ads.

Most importantly, CTV advertising is more cost-effective for businesses. With traditional TV advertising, businesses have to spend significant money on ad slots that may or may not reach their intended audience. In contrast, CTV advertising offers a more affordable option with a higher chance of getting the desired target audience.

Benefits of CTV advertising

Now that we understand why CTV advertising is essential, Let’s explore some of the most popular benefits of CTV advertising compared to more traditional methods. After all, it is a crucial decision to take when considering your ad spend budget.

Geotargeted advertising

Geotargeted advertising is an effective marketing strategy that uses location-based data to reach a specific audience in a particular geographic area. This approach allows businesses to personalize their ads and target consumers based on their location, which is particularly advantageous for small and medium-sized enterprises (SMBs) looking to reach potential customers in their local area.

For instance, a local restaurant can use geotargeting to show ads to people within a certain radius of their location, increasing the chances of those visiting their establishment. Geotargeting can also help larger businesses target specific regions with relevant promotions or offers, increasing engagement and conversions.

Geotargeted advertising can improve the effectiveness of marketing campaigns by reaching the right audience at the right time and place while saving money by reducing the cost of advertising to people who are unlikely to be interested in their products or services.

Digital Element’s geolocation technology can help businesses optimize their geotargeted advertising through accurate audience targeting. Using Digital Element’s data, companies can target their advertising campaigns to specific locations, improving ad placements and increasing engagement.

This technology benefits programmatic advertising on mobile devices, internet-connected TVs, Chromecast, and Amazon Fire TV. It enables real-time, full-screen ads that work seamlessly with DSPs and ad-supported video advertising platforms.

Precision targeting

Precision targeting is an effective marketing strategy that uses specific criteria, such as location, demographics, interests, and behavior, to deliver ads to a highly targeted audience.

With the data collected from CTV devices, advertisers can create highly targeted campaigns more likely to reach their desired audience. This saves time and resources and ensures that ad spend is used efficiently.

For example, a real estate agent could use geotargeting to show ads only to people in the area where they are selling properties, increasing the likelihood of finding a buyer.

Precision targeting is a powerful tool for advertisers to optimize their campaigns and increase engagement and conversions. It can be used across various devices, including connected TVs, smartphones, and on-demand services.

Reaching massive audiences who are already consuming content

CTV advertising offers businesses the advantage of getting a broad and attentive audience already consuming content on connected TV devices. With current projections, sales of CTV devices are expected to continue to increase into 2025, making it a valuable platform for marketers.

This means businesses can leverage CTV advertising to gain access to this vast audience and tailor their advertisements to target specific demographics or interests, significantly enhancing the chances of conversions. With CTV advertising, businesses can increase brand awareness and drive sales among consumers already invested in the content they watch.

Increased engagement

CTV advertising provides viewers with a more immersive and engaging experience, leading to higher engagement rates than traditional forms of advertising. CTV ads are often non-skippable and run during ad breaks, providing a captive audience for businesses to showcase their products or services.

This type of advertising also allows for interactive ads, such as shoppable ads, which enable viewers to purchase products directly from the ad without leaving the screen. This increases engagement and reduces friction in the purchase process.

Businesses can also measure the effectiveness of CTV campaigns using metrics such as attribution, video completion rate, and other formats. By tracking these metrics, businesses can improve the performance of their campaigns and maximize their ad spend. This helps businesses and advertisers better understand their audiences and optimize their campaigns to reach their target audience more effectively.

Likewise, CTV advertising is not limited to just smartphones and streaming services. CTV ads can also be displayed on laptops and other internet-connected devices. This means that businesses and advertisers have the opportunity to reach audiences across multiple platforms, increasing their reach and potential for conversions.

By measuring metrics and optimizing campaigns, businesses can improve the effectiveness of their advertising efforts and reach their target audience more effectively.

Security concerns in CTV advertising

As more and more people switch from traditional linear TV to streaming services, traditional advertising methods are also starting to give way to new methods, like CTV advertising. However, with this shift, new security concerns also arise, such as the use of IP addresses.

To address these concerns, your marketing department must take steps to protect user privacy and security. One approach is to use geolocation technology to identify and prevent fraudulent activity on CTV devices.

This technology can also help ensure compliance with GDPR and CCPA. Additionally, encryption and data anonymization can be used to protect user data and prevent it from being sold to third-party advertisers.

CTV advertising offers many benefits for businesses and advertisers, but taking security concerns seriously is essential. Using geolocation technology, encryption, and data anonymization, companies can protect user privacy and ensure compliance with regulations.

Achieve higher conversion rates in CTV advertising with Digital Element

CTV advertising offers businesses a unique opportunity to reach audiences in a new way. By leveraging the benefits of geotargeting, precision targeting, and increased engagement, businesses can create more effective ad campaigns and ultimately achieve higher conversion rates. However, it’s vital to consider the security concerns of CTV advertising and how to address them.

With Digital Element’s technology, businesses can mitigate these risks and ensure effective and secure advertising campaigns. If you want to learn more about how Digital Element can help your business with CTV advertising, contact us to see the Digital Element difference.

Fight Ad Fraud with IP Intelligence Data

Ad fraud is a pernicious challenge, but it doesn’t need to be. With the right tools in place, invalid traffic and bots can be seriously curtailed, as the recent TAG Fraud Benchmark reveals.

There’s one tool that can help advertisers and affiliate marketers distinguish legitimate traffic from nefarious actors: IP intelligence data.

What is IP Intelligence Data?

An IP address is the unique address that identifies an Internet-connected device, be it a computer, mobile phone, or connected TV. Without it, the Internet wouldn’t be able to tell one device from another, and data would be misdirected.

All IP addresses contain a great deal of context — i.e. intelligence data — that surrounds the actual address, including:

  • Geolocation data (country, city, zip/postal code)
  • Proxy data (e.g. masked IP data that can be used by fraudsters)
  • Devices and Services (e.g. Web server)
  • Home usage vs. business usage
  • Company name
  • VPN provider & URL


IP data can help teams detect fraudulent clicks that originate from click farms or bots, thereby ensuring that budgets are spent showing ads to real humans.

Digital Element IP-Based Ad Fraud Detection Tools

  • IP data origin differs from provider to provider. Digital Element’s NetAcuity uses patented technology, along with over 20 proprietary methods to gain context into IP addresses. We also partner with companies that provide device-derived data from SDKs and apps, which enhances our ability to see more IP addresses, and improve our decisioning.
  • Nodify is a threat intelligence solution designed to help data scientists and Traffic Quality teams respond to the rise of VPN usage and the threats they pose to the digital advertising ecosystem. Nodify helps Traffic Quality teams assess VPN and Proxy traffic by delivering contextual insight around an IP address, including: VPN classification (VPN, proxy, or darknet), whether it supports fraudster-friendly features such as no logging or payment via crypto, IP addresses related to a provider, traffic type and more.

Distinguish Real Traffic from Fraud

Identify proxies used by fraudsters
  • Identify proxy data, which may be masked IP data that can be used by fraudsters.
  • Distinguish between risky and benign VPNs.
  • Identify where ads are viewed; are they in a region of the world that makes sense for the campaign?
  • Identify when a bunch of “interesting IPs” appear but can’t connect them to anything.
Identify click farms and app-install farms 
  • Determine fraudulent clicks and ensure budgets are spent on real impressions seen by real humans.
  • Identify when a suspicious number of clicks come from a specific radius or timeframe.
Identify mobile proxy farms
  • Determine which mobile IP addresses are legit.
  • Identify mobile IP addresses that never move.
Bot mitigation
  • Compare the entrance and exit nodes to identity when bots are blended in with residential traffic.
Create best practices
  • Use Nodify data to create inclusion and exclusion lists based on context.
  • Distinguish between corporate VPNs and those with nefarious features.

 

To learn about IP address data and the role it can play in a marketing organization, access our guide, “A Guide to Understanding How IP Data Helps Marketers.”

Three Adtech Trends That Will Define 2022

The year 2021 was a bit of a tumultuous one for marketers. The global pandemic forever altered consumer behavior and the rules of digital advertising saw radical shifts, led by changes in privacy and the death of the cookie. But the digital advertising ecosystem is one that has been marked by drastic changes, and we have no doubt that marketers will find their way to thrive. In fact, we already see evidence of marketers, with the help of their partners, doing just that.

Here are the three trends we think will define the year ahead for digital marketers.

Privacy Regulations are Changing the Data Rules

Over the past 20 years, marketers relied on third-party cookies to identify likely prospects, provide them with relevant ads, and assess how well marketing campaigns performed. But that model has been under attack since 2018, when GDPR went into effect. In the U.S., California was the first state to adopt a consumer privacy law; Virginia and Colorado have followed suit.

It’s just the beginning. According to the National Conference of State Legislatures, at least 38 states introduced more than 160 consumer privacy related bills in 2021, sending a message to marketers everywhere that they need new tactics going forward. Many companies, including Digital Element, have solidified their commitment to privacy controls as a result.

Where the regulations drop off, Big Tech picks up. Not content to wait until privacy regulations apply to every citizen of the world, Apple and Mozilla have banned third-party tracking in their browsers. Google announced plans to follow suit, though when that will actually occur is anybody’s guess, as the company has postponed the date multiple times.

Neither the regulations nor the browsers are banning the use of first-party data, however, and throughout 2021 every major brand, across all sectors, began to pivot. Simultaneously, the industry has seen an influx of companies offering products and services to help brands harness their first-party data and deploy it for marketing initiatives.

That’s not to say that purchasing audience segments for targeting purposes will go away; many companies with data will still offer them up.

Ad Spend is Pouring into CTV 

Americans have always watched a great deal of TV but lockdown changed the game. Digital TV viewing minutes shot up in 2020, and never came back down in 2021. In August 2021, a Roku/Harris Poll study showed that TV streaming has overtaken linear TV in terms of view time.

Today, U.S. consumers have more than 200 streaming services to choose from, many of which allow them to watch content for free in exchange for seeing ads. In 2021, the average U.S. household subscribed to at least four streaming services, and spent an average of $47/month for them.

Marketers are keen to follow them there for the very good reason that people tend to be highly engaged while consuming TV content. It can also play a critical role in the purchasing journey, especially if advertisers can deliver a TV ad to consumers who read about their products on their laptops or smartphones.

But homing in on those audiences can be difficult for many reasons, including publisher reticence to share viewer data, and the need to link laptops, smartphones, smart watches and other devices to a particular user’s smart TV.

The IP address is a very good proxy for CTV, as every device connected to the Internet is assigned one. If you can associate a user’s smartphone, laptop and CTV IP addresses, you can plan customer journeys that span multiple channels, including TV.

ID Graphs Will Dominate Targeting, but Buyers Should Beware

The concept of ID graphs isn’t new; companies like LiveRamp have long relied on them to help marketers resolve the identity of their customers and prospects. Companies like Experian use them to help marketers reach their audience segments across devices.

What is new is the plethora of companies that have come to market with an ID graph solution.  The sheer number of solutions speaks to the demand expected. Clearly, ID graphs are seen as a reliable way to target once the third-party cookie finally crumbles. But can we assume that all ID graphs are created equal? We suspect not, and that marketers will go through a learning process when selecting one that’s right for their needs. It also means that consolidation is inevitable, with the better (or better funded) solutions buying up the smaller ones.

Marketers will quickly realize the power of ID graphs, especially when they can layer in IP data into their segments. IP data is quite rich and nuanced, which will enable marketers to glean even more insights about their target audiences.

Looking ahead, marketers will spend 2022 learning about, testing and comparing emerging privacy-compliant strategies for building their customer bases.