How to Evaluate Audience Composition in Advertising

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When choosing a location-based audience, it’s critical to understand how consumer behavior is interpreted. Advertisers should understand how location data providers create the composition of their advertising audiences. Here are a couple of questions to consider when you determining audience composition for an advertising campaign:

  • How does the location data provider choose consumers for inclusion in the advertising audience?
  • How many visits are required to make the consumer part of the advertising audience?
  • What kinds of activities does the provider include when they build this ad audience?

Frequency of Visits in Advertising Audience Composition

Let’s say that a property management firm is advertising a VIP opening of their new outdoor food court. They want to reach frequent mall shoppers with their ad campaign. They don’t want to reach consumers who have only visited the mall once. The property firm decides to evaluate a ‘Mall Lover & Frequent Shoppers’ advertising audience. To understand the composition of this advertising audience, they will need to ask the location data provider what behaviors qualify a mobile device for inclusion. Is a mobile device added to a ‘Mall Lovers & Frequent Shoppers’ audience after a single visit to a mall? Or did they need to make 3 or more visits to the shopping mall within the last month? The property management firm has to decide between an audience of 1 or more visits vs. one with 3 or more visits. If the firm chooses the audience with 1 or more visits, then they will reach a larger audience, increase ad impressions, and cost. However, they will also reach many people who don’t regularly go to the mall, which will likely reduce their CTR and ROAS.

Importance of Event Context in Audience Composition

Event activity can also be included in a location-based advertising audience. This event context ensures that the advertising campaign will reach interested consumers. For example, a drink company is launching a new performance drink for athletes. They will likely want to reach consumers who are regularly and frequently seen at their local gym. However, some consumers who frequently visit the gym might not be athletes in training or they might only show up to the gym only a couple of times a month. In this case, the drink company may want to include consumers with event attendances in their advertising audience. For example, they could include athletes who regularly participate in marathons or spartan races. This ensures that their advertising audience has the right audience composition and increases the likelihood that they will purchase the performance drink.

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There are some cases in which a single visit to an event is a good indicator of consumer interest. Take, for example, a real estate agent is advertising an open house. A single visit to the open house is a pretty good indicator that a visiting consumer is in-market for a new home. While there are always exceptions, the real estate agent doesn’t necessarily need to see a device at multiple open houses before they can infer that a consumer is house-hunting. In fact, it may be the opposite: If an agent consistently sees a device at open houses over a period of months or longer, it’s far more likely that the device owner is a real estate agent, and not in the market for a home. The agent would want to make sure to exclude these devices because they have a higher visitation rate and aren’t the right consumers for their open house ad.

Audience Composition Affects Ad Campaigns

As you choose your advertising audience, you’ll want to make sure that you understand the audience composition that makes logical sense in the context of your ad campaign and target market. To learn more, book a meeting with us.

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.

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