Three Ways Location Data Improves Connected TV Advertising

Get data for any location

Start your search

As more U.S. consumers buy smart TVs and other connected TV (CTV) devices, advertisers gain access to another media channel for circulating ads and engaging with previously unengaged audiences.

In 2023, 88 percent of households had a CTV device. For advertisers, this presents an opportunity to expand your reach to more audiences and increase ad revenue.

While marketers may understand the opportunity CTV ads present, there remains uncertainty surrounding how to best leverage data to strengthen CTV campaigns, target the right audiences, and prove advertising attribution.

Challenges For Connected TV Advertisers

Connected TV advertising can be an effective way to engage at-home audiences, especially those not exposed to traditional linear TV ads; however, it is not without its challenges:

  • Ad-Free Streaming Services- Some popular streaming platforms commonly used on CTV devices, such as Hulu and Netflix, offer ad-free experiences to their subscribers, restricting the platforms advertisers can use to market to audiences.
  • Improper Internet Setup- OT Market Research Park Associates reports that 77% of U.S. households with smart TVs are connected to the Internet as of January 2020, an increase from 62% in 2014. CTV advertisers will have no way to market to those not connecting their TVs to the Internet, adding an additional engagement barrier.
  • Lack of Tracking Standardization- Consumers have several CTV devices and streaming options to choose from, each with their own operating system, profiles, and complexities, making it difficult for advertisers to track movement across multiple platforms, like Internet cookies can.
  • Uncertain Advertising Attribution- Since CTV devices lack standardized tracking processes, it can be difficult to gain actionable insight into how consumers are interacting with ads and prove their contribution to product sales.

Using Location Data For CTV Ad Campaigns

While some of the main challenges for connected TV advertising are out of a marketer’s control, location intelligence can help eliminate guesswork related to tracking the effectiveness of ads on consumers and attributing increased sales to marketing campaigns.

Here are the top three ways advertisers can leverage location data to strengthen CTV ad campaigns:

1. Identify Consumers Likely To Interact With Your Ads

Location intelligence can provide CTV advertisers with powerful information on consumer preferences. This insight is based on where people go in the real world, which can guide marketing strategies and help advertisers identify population groups most likely to engage with their ad or brand.

Location intelligence can be used to build out audience personas. These personas can be combined into population segments based on interest. For example, people who travel to gyms are likely more inclined to purchase healthy food products or workout-related equipment. Advertisers can examine these prepackaged audience segments to determine which consumers share interests that align with the products or services they are marketing so they can develop honed-in ad campaigns to best target those consumers.

2. Improve Success Of CTV Advertising Campaigns

In addition to identifying consumers likely to interact with your ads, location data can also improve the success of your CTV ad campaigns. By better understanding audiences most likely to interact with your brands, you can market to the right consumers. Advertising to the right audience helps you increase the ROI of your advertising campaigns, improve product sales, and eliminate wasted ad spend on too broad or uninterested buyer populations.

Advertisers who precisely segment potential audiences can develop more personalized and relevant messaging for those consumers to best engage them and encourage them to interact with CTV ads, increasing ad interaction and sales.

3. Enable Accurate Advertising Attribution

Advertisers may struggle to link offline purchases to digital marketing campaigns, but location data can help take the guesswork out of advertising attribution. By extracting mobile advertising IDs as people visit a store, location intelligence companies can cross-reference those ad IDs to the ad IDs of people viewing a CTV ad to determine if the campaign encouraged an in-store visit or purchase. With this information, marketers can compare foot traffic data of recorded store visits of those who were and weren’t exposed to the ad to provide a clear representation of an ad’s effect on viewer buying habits.

Ready to Get Started?

Book a meeting with a location data expert now.

Schedule a Meeting

Strengthen Your CTV Ad Campaigns With Location Data

CTV advertisers leveraging high-quality location data in their campaigns can gain actionable insights into which target buyer populations should be targeted and how to connect ad viewership to consumer purchases.

To learn more about using CTV ads with location data, book a meeting with us today.

Frequently Asked Questions

Discover how analyzing real-world movement patterns can reveal valuable trends in customer behavior, optimize business operations, and enhance strategic decision-making.

What is site selection and why is it important?

Site selection is the strategic process by which businesses identify, evaluate, and choose optimal locations for their operations. This process is paramount as the location of a business directly influences factors such as accessibility, visibility, profitability, and market longevity. For retailers, the right site can mean higher customer footfall and increased sales. In real estate, a well-selected site can promise lucrative returns on investment and tenant stability. Financial service firms leverage site selection to position their branches or ATMs in high-demand areas. Essentially, site selection plays a pivotal role in ensuring the success and growth of a business by aligning its physical presence with market opportunities and demands.

How does location intelligence enhance site selection?

Location intelligence refers to the harnessing of geospatial data to derive actionable insights, which can significantly enhance the site selection process. By analyzing data like consumer demographics, foot traffic patterns, competitor locations, trade area data, and more, businesses can make more informed decisions about where to establish or expand their operations. Location intelligence allows for a deeper understanding of market dynamics, revealing hidden opportunities or potential pitfalls. For instance, retailers can identify gaps in the market, real estate professionals can forecast property value trends, and financial service providers can assess areas with high customer demand. Advanced tools, like those offered by Unacast, further refine these insights by leveraging AI and machine learning, enabling more precise and timely decision-making.

What challenges do businesses face in the site selection process?

Unacast provides invaluable support to businesses during the site selection process through its advanced location data and analytics software, all powered and refined by Artificial Intelligence and Machine Learning technologies. The company offers a suite of products designed to deliver accurate, actionable, and comprehensive location intelligence. This data proves crucial for businesses looking to understand consumer behavior, analyze traffic patterns, evaluate competitor locations, and much more. With Unacast’s robust tools, businesses in retail, real estate, and financial services can derive insightful information necessary for making strategic, informed site selection decisions. The platform not only provides reliable data but also ensures it is readily actionable for businesses, whether they are looking to open a new store, invest in property, or expand their financial services to new locations.

What types of location data are crucial for informed site selection?

Demographic data offers insights into the age, income, and lifestyle of people in a particular area, helping businesses understand their potential customer base. Foot traffic data provides information on the number of people visiting a location, which is crucial for retailers to estimate the store's potential popularity and for real estate professionals to assess an area's vibrancy and demand. Geographic Information System (GIS) data helps in visualizing and analyzing geographical details, supporting companies in identifying accessible and strategically located sites. Understanding the proximity to competitors, accessibility, and the socio-economic profile of the surrounding areas is also vital. Unacast’s platform aggregates and analyzes these various data types, providing a holistic view that significantly empowers businesses in their site selection endeavors.

Resources

Sort
No items found.

Book a Meeting

Meet with us and put Unacast’s data to the test.
bird's eye view of the city