Over the last few months, Experian has released new syndicated audiences to most major platforms supporting retail and travel. In this blog post, we’ll highlight some of these new audiences and how they can be used with other data from Experian to build the perfect audience to reach your customers and prospects.
Household Expenditure audiences
We’ve created new predictive audiences to help retailers reach consumers across 35 categories likely to spend within that category. A few categories include Apparel, DIY, Health, and more.
With the launch of these new audiences, we will retire our existing Household Consumer Expenditure, Online and Retail category audiences in the November Digital Master update.
Who these audiences are for
Our Household Expenditure audiences use data from multiple sources, providing brands with highly accurate purchase predictions and data that scales for digital execution. Household Expenditure audiences are an excellent solution for brands with new product lines or where targeting based on historical purchases lack signal brands seek.
Building data from multiple data sources helps ensure high performance and accuracy and can illuminate trends in consumer shopping patterns. These trends can be used to help predict future shopping behaviors.
How to refine our Household Expenditure audiences
To refine your audience, you can combine this data with Experian’s demographic and household expenditure audiences to ensure you are reaching consumers. For example, suppose you’re an apparel brand launching a new line aimed toward women over the age of 40. In that case, you can use Experian’s demographic data to reach those women and layer in ourhousehold expenditure purchase predictor segment for women’s apparel to reach their new target audience.
Mobile Location audiences
We’ve expanded our location database to include more locations and points of interest. With this new data, we could strengthen our existing mobile location audiences to broaden the reach, improve accuracy, and increase performance.
We’ve created 11 new mobile location audiences with our new dataset that supports the retail and travel verticals. These new audiences include new shopping behaviors, including high-income and high-end shoppers and travel and entertainment behaviors, including visiting sporting arenas like MLB, NBA, NFL, and university stadiums.
Who these audiences are for
These audiences are for brands that want to reach consumers based on their location behaviors. Often valid for retail, travel, and entertainment brands, Mobile Location audiences provide brands with highly accurate data that shows previous intent and interest in critical locations.
How to refine our Mobile Location audiences
To refine your audience, you can combine your Mobile Location audience with Lifestyle and Interest data. For example, if you are creating an advertising campaign for a hotel near a university stadium for the largest game in the season, you could combine university stadium visitors with sports enthusiasts and in-market for travel to find consumers most likely to be interested in your campaign and staying at the hotel.
Purchase-Based Transaction audiences
For use cases where predictive audiences aren’t the best fit to reach the right consumer, such as targeting consumer’s historical purchases, we’ve created new purchase-based transaction audiences that utilize opt-in consumer transaction data across 29 retail categories, including apparel, home, lifestyle, health, food and beverage, and more.
Who these audiences are for
These audiences are a perfect fit for brands trying to reach consumers based on previous purchases. These audiences can be broken out by their spending patterns – frequency of purchase and high spenders – and their response to advertising, including direct mail, email, inserts, and digital.
How to refine our Purchase-Based Transaction audiences
Combine these new audiences with Mosaic to fine-tune your audience based on their purchasing and lifestyle patterns.
Suppose you are a brand with a new line of home décor products launching and will utilize influencers to endorse your product line. In that case, you can use Experian’s purchase-based transaction audiences for high spenders in home décor and layer our Mosaic audience Influenced by Influencers to find consumers who are most likely to purchase and trust an influencer.
We can help you discover and activate your perfect audience
Our audiences are available in most major data and execution platforms. Visit our partner page for more information.
Don’t see our audiences on your platform of choice? We can help you build and activate an Experian audience on the platform of your choice.
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Definition of an NHL and Non-NHL fan The behaviors and preferences of National Hockey League (NHL) and non-NHL fans are compared in this report. Below are the definitions of each consumer type: NHL fans are 18+ adults who are either “very”, “somewhat”, or “a little bit” interested in NHL Non-NHL fans are 18+ adults who are “not at all” interested in NHL Who Are NHL Fans? Compared to 2006, there are 11 percent more American adults who are NHL fans*. And with 52 percent of its fans under the age of 45, the NHL’s fan base is – for the most part – young. NHL Fans Are Educated and Well Paid NHL fans are more likely than non-NHL fans to have graduated college and attained a graduate degree. The benefits of their higher education is clear as NHL fans are 64 percent more likely than non-NHL fans to personally earn an income of $150,000 or more annually. Next we’ll examine a few luxuries NHL fans enjoy: home-ownership, watches, and vehicles. Home Owners Seventy-seven percent of NHL fans own their place of residence. The graph below charts the percentage of NHL and non-NHL fans who own any resident type (includes house, condominium, co-op and mobile home). As illustrated, there are more NHL fans than non-fans who own homes that value at $300,000 or more. Watches Twenty-six percent of NHL fans purchased a watch for themselves or someone else in the last 12 months and their tastes are not cheap. NHL fans are 2.6 times more likely than non-fans to have spent $500 or more on a timepiece. Vehicles Similar to their watch purchasing behavior, NHL fans are willing to splurge on their vehicles. For their most recent vehicle purchase, NHL fans were 13 percent more likely than non-NHL fans to spend over $30,000. Internet Purchases NHL fans spend big online. During the last 12 months, NHL fans spent a total $9.9 billion on Internet purchases. Among those who made a purchase in the last year, NHL fans are 25 percent more likely than non-NHL fans to spend $1,000 or more online during the year. In fact, 41 percent of NHL fans who shop the Internet spend at least $500 online a year. Business Purchase Decision Makers The previous slides established that NHL fans have expensive taste and aren’t troubled spending extra to purchase personal items. However, can the same be said for business-related purchases? Indeed it can. Not only are there more NHL fans than non-fans making business purchase decisions, they’re also 54 percent more likely than non-fans to spend $100,000 or more on office products. Conclusion The National Hockey League has a growing fan base that doesn’t mind spending extra for products and services.