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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Experian received top ranks for hashed emails (HEMs) and demographic data from Truthset Data Collective Advertisers, technology partners, and agencies are all chasing accurate data to power their marketing strategies. Turns out, not all data is created equal and unless you’re working with the right partner, high-quality data can be hard to find. That’s because accuracy can vary widely across the industry and the partner you choose is important. A recent study conducted by data validation company Truthset showed that 51% of the data used for ad targeting and audience measurement is wrong, with average accuracy rates ranging between 32%-69% across data providers. The data quality challenge The lack of high-quality data poses multiple challenges in the advertising world: Wasted ad spend: without accurate data at the start, marketers can’t reach the right audiences, resulting in wasted impressions. Privacy and compliance: in an increasingly privacy-centric world, advertisers need to be especially mindful of accurate targeting to avoid putting their brand reputation at risk. Poor campaign performance: low-quality data skews metrics and attribution models, making it difficult to measure campaign success and optimize spend. Low-quality data can come in different forms like inconsistent or outdated information – think demographics (age, gender) and interests (dog versus cat lover) or simply the wrong relationship can be made between datasets. Data records can be incomplete or duplicative and data segments could be misclassified or inaccurate. For example, a kids snack food company may think they’re targeting a 35-year old man, who lives in the suburbs with his young family when in fact it’s a 65-year-old woman who moved to the city after her kids went to college. It’s wasted dollars!Build the data foundation Data quality needs to be addressed if advertisers and advertising technology partners want to fulfill consumers’ demand for personalized marketing. Per eMarketer, more than 75% of internet users worldwide said they were willing to share their email address, brand interest, and name in exchange for personalized experiences. Without accurate data, marketers won’t be able to provide the level of personalization that consumers desire. Validation can help advertisers evaluate third party data and help build trust across the ecosystem. Companies like Truthset review and provide an unbiased evaluation of data fidelity and quality on a regular basis. "As cookies and mobile ad identifiers continue to phase out, consented, durable identifiers (hashed email, postal addresses) are going to serve as the foundation for identity solutions of the future,” said Chip Russo, President at Truthset. “And the only way to ensure you are transacting on the highest quality identity and demography data is to actively validate the data you rely on with a third party.” Not all data is created equal: Experian leads the way In Q3 2023 Truthset reviewed Experian’s marketing data – as well as several other large data providers – and found: Experian is the #1 data provider in terms of largest volume of high-accuracy hashed e-mails (HEMs) with demographic data Experian ranks #1 in accuracy for 15 marketing data attributes, including but not limited to Age, Gender, Home Owner/Renter, Geography, Education, Presence of Children, and Pet Owner Experian consistently has the largest number of HEMs with demographic data that are 90% or more likely to be accurate “As a member of the Truthset Data Collective, Experian received top ranks across a variety of categories for its data,” continued Russo. “The entire digital advertising world runs on data, but focusing on data accuracy is going to drive the next phase of innovation for the industry, enhancing ROI for advertisers, CPMs for publishers, and relevant experiences for consumers.” As Truthset's recent study highlights, the data matched between hashed e-mails and postal addresses is crucial, underpinning everything from targeted ads to TV audience measurement. Highly accurate HEMs linked to high-quality demographic data should be the foundation of any marketing plan. Advertisers are able to overcome the complexities of identity resolution by tying online and offline touchpoints together to deliver a consistent message across channels. Companies are striving to eliminate marketing waste and provide consumers with personalized marketing and the advertising industry can have confidence that Experian’s marketing data has been externally validated as being highly accurate. The accuracy of our data will power smarter marketing initiatives, like insights, targeting, identity, and measurement. Let's start a conversation about how we can fully realize the potential of data-driven advertising together. Contact us today Latest posts
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