At A Glance
Product discovery spans social, streaming, search, marketplaces, and in-store, while spending power is concentrated among fewer consumers. Experian Audiences help retailers reach high-value consumers using privacy-safe behavioral, purchase, and economic signals aligned to how people discover, shop, and spend.In this article…
Why does retail marketing need more than broad targeting?
Retail marketing needs more than broad targeting because consumers no longer discover products in one place. Consumers move between social platforms, streaming TV, search engines, online marketplaces, and physical stores, often within the same purchase cycle.
Online marketplaces like Amazon have become the primary research channel for 51% of consumers across the US, UK, and Canada, while social media now leads product discovery for 73% of Gen Z and 67% of millennials. Discovery is distributed, and it varies by generation.
Channel presence alone doesn’t solve this complexity. Retailers need to understand:
- How consumers engage across channels
- Where they shop
- What categories they prioritize
- How much they are likely to spend
To help retailers align strategy with how consumers discover and spend, we outline three core retail audience signals to consider and show how economic and seasonal signals shape activation decisions.
Three retail audience signals marketers should use
Retail performance is shaped by how consumers engage, where they shop, and what they buy.
Experian Audiences help retailers consider all three signals together; channel engagement, retail channel loyalty, and purchase behavior, to build more informed activation strategies.
You can find the full taxonomy paths in the appendix.

What this signal represents
Channel-defined retail engagers reflect consumers whose media habits shape how they discover products. In a fragmented environment, engagement behavior often determines where attention, and response, is most likely to occur.
Social platforms in particular play an outsized role in discovery for younger consumers. More than two-thirds (67%) of U.S. consumers aged 16–24 say they have learned about a product through social media videos in their feeds. Younger cohorts, including Gen Z and Millennials, rely more heavily on digital platforms, both social and streaming, as part of their discovery and engagement behavior compared with older generations.
Different consumers respond to different channels. Engagement signals help retailers prioritize the channels where attention is already established.
Experian Audiences you can activate to reach channel-defined retail engagers:
- Baby Boomers
- Broadcast Cable TV
- Generation Z
- Streaming First Cord Cutter Households
- TikTok Users
- TV Ad Acceptor Households

What this signal represents
Purchase environment loyalists reflect consumers who are defined by where they shop; whether online-only, in-store, or somewhere in between. A majority share of consumers (45%) still shop primarily in stores, while online sales still represent a growing share of overall retail activity, reflecting the ongoing importance of both physical and digital channels.
Many shoppers follow a hybrid path to purchase, with 55% visiting a retailer’s website before going to a physical store and 25% accessing it while shopping in-store, reinforcing the importance of omnichannel understanding.
Mobile location and retail visitation signals help identify these purchase environment loyalists by connecting digital engagement to real-world shopping activity. By observing where consumers physically shop, in addition to how they browse online, retailers can segment audiences based on demonstrated channel loyalty.
Experian Audiences you can activate to reach purchase environment loyalists:
- Big Box Shoppers
- Department Store Luxury High Spend Spenders
- Discount / Dollar Stores: Frequent Spenders
- Frequent In Store Buyer Households
- In-Store vs. Online: eCommerce Diehards
- Big Box and Club Stores: Amazon Frequent Spenders

What this signal represents
Purchase-driven retail planners reflect what consumers buy, and what they are likely to buy next. Past purchase behavior remains one of the strongest predictors of future spending. Research shows that repeat customers account for roughly 40% of a retailer’s revenue on average, despite representing a smaller share of total customers. These signals allow retailers to prioritize consumers based on demonstrated category demand and discretionary spend.
Experian Audiences you can activate to reach purchase-driven retail planners:
- Frequent Children’s Product Buyers
- Health and Nutrition Buyer Households
- High Spending Beauty Buyers
- High Spending Electronics and Appliance Households
- Housewares and Home Decor Buyer Households
- Sporting Goods Frequent Spenders
How to layer retail audiences for stronger performance
Retail marketers can layer retail audiences for stronger performance by bringing together engagement, shopping behaviors and purchase patterns, these signals are most effective when layered.
A household might discover products through social or streaming, prefer to purchase primarily in-store, and over-index on specific categories like beauty, apparel, or electronics. Considering these dimensions together allows retailers to align creative, channel mix, and timing with both shopping mindset and spending capacity.
For example:
- Combine Streaming First Cord Cutter Households with eCommerce Diehards to prioritize digital-first campaigns.
- Layer Social Media Heavy Users with High Spending Beauty Buyers to align discovery environments with demonstrated category demand.
- Pair Department Store Luxury High Spend Spenders with discretionary category buyers for premium launches.
- Activate Discount / Dollar Stores: Frequent Spenders alongside Frequent Children’s Product Buyers during key seasonal moments.
By combining channel-defined retail engagers, purchase environment loyalists, and purchase-driven retail planners, retailers can move beyond single-variable targeting and build campaigns grounded in how consumers engage, shop, and spend.
Prioritizing growth in a polarized spending environment
Prioritizing growth in a polarized spending environment starts with recognizing how concentrated retail spend has become, with roughly 20% of consumers accounting for nearly 60% of total spending. At the same time, more shoppers are trading down to discount formats and private labels, including households earning over $100,000 annually.
Retailers must defend premium margin while competing for value-driven share, often within the same campaign window.
Defending and growing high-value consumers
Higher-spending consumers can be identified through income tiers, investable asset indicators, premium credit card usage, and elevated category-level spend. These signals support premium product launches, loyalty reinforcement, and cross-category expansion.
Prioritizing these audiences helps retailers protect margin and focus investment on consumers driving disproportionate revenue.
Competing in a value-driven environment
Deal seekers, coupon users, discount frequenters, and predictive bargain shoppers represent meaningful share opportunities.
Targeted promotional strategies allow retailers to compete on value without eroding premium positioning among higher discretionary tiers.
When are retail audiences most receptive to outreach?
Retail audiences are most receptive to outreach with seasonal retail moments that influence urgency and purchase intent, making timing as important as targeting.
Back-to-school and family-driven spend
Back-to-school season concentrates on spending among consumers with children. Frequent children’s product buyers and mall visitors often show increased activity during this period. Retailers can align apparel, electronics, and supply campaigns with these signals to capture concentrated demand.
Prime Day, promotional peaks, and deal behavior
Major promotional events such as Prime Day and Black Friday drive heightened engagement among deal seekers, coupon users, and discount frequenters. Layering purchase predictors with value-oriented audiences helps retailers focus promotions on consumers most likely to respond.
Holiday promotions
Holiday periods often combine premium gifting with value-driven deal activity. Luxury department store shoppers and high discretionary category buyers may respond to premium creative, while discount shoppers prioritize event-driven promotions. Seasonal signals help retailers time outreach around predictable shifts in shopping behavior.
What sets Experian Audiences apart?
Our syndicated audiences give you an advantage across channels, offering both scale and accuracy:
- Experian’s 3,500+ syndicated audiences are available at over 200 leading activation platforms, including programmatic, social, TV destinations, and can be curated alongside premium inventory through Curated Deals.
- Reach consumers based on who they are, where they live, and their household makeup. Experian ranked #1 in accuracy by Truthset for key demographic attributes.
Explore some of our Partner Audiences that complement Experian Audiences across key retail use cases, with flexible activation through Experian’s data marketplace or leading activation platforms.
Alliant
- Brand Propensities > Kids Products > Happiest Baby Buyer Propensity
- Social Propensities > DIY and Crafts > TikTok – DIY Influencers
Attain
- Transaction Data > Past Purchases > Retail > Online Marketplaces
- Retail > Home Improvement > The Home Depot
Kontext
- In-Market > Health & Beauty > Personal Care > Cosmetics > Makeup > Lip Makeup
- Shoppers > Home & Garden > Kitchen & Dining > Kitchen Tools & Utensils
Need a custom audience? Reach out to our audience team and we can help you build and activate an Experian audience on the platform of your choice.
Want to activate an Experian Audience on Meta, Pinterest, Snap, TikTok, or on a platform not listed above? Contact us today.
For a full list, download our syndicated audiences guide.
Activate in commerce-driven environments
Retail audience strategies are most effective when deployed in environments where discovery and purchase converge. Experian’s retail transaction and predictive audiences are available through our data marketplace and can be combined with partner data to build tailored segments aligned to category spend, shopping mindset, and channel receptivity.
These audiences can be activated across commerce-driven and social environments, including Amazon, TikTok, and Curated Deals, allowing brands to align precision targeting with high-intent retail environments. By connecting audience intelligence to where consumers are actively browsing and buying, retailers can move from a segmentation strategy to measurable performance.
Reach consumers based on real-world retail behavior with Experian Audiences
From social-driven discovery to in-store visitation and category-level spend, retail growth is shaped by behavior. Experian Audiences help retailers reach consumers using signals tied to how they actually engage, shop, and spend, supporting programs aligned with real-world retail patterns.
Connect with our audience experts
FAQs
Experian Audiences are pre-built, privacy-compliant consumer segments that help marketers target based on verified demographic, financial, and behavioral data.
They’re designed for flexibility across channels and can be activated on 200+ platforms, including major social, CTV, and programmatic partners.
Experian ranks #1 in demographic accuracy according to Truthset, and marketers can choose from 3,500+ syndicated audiences that capture signals such as income, spending behavior, household structure, financial attitudes, and ability to pay. These same audiences are also available through partnerships on platforms like DirecTV, Dish, Magnite, OpenAP, and The Trade Desk.
For a deeper look at our audience catalog, explore our syndicated audience guide.
You can activate Experian Audiences across 200+ digital and connected TV (CTV) platforms, including Meta, Pinterest, The Trade Desk, and Audigent PMPs.
Yes, you can combine your own first-party data with Experian’s 3,500+ syndicated audiences and additional segments from multiple partner data providers, as a custom audience within a Curated Deal, or self-service via Audience Engine.
Appendix
Channel-Defined Retail Engagers
- Consumer Behaviors > Generational Segments > Baby Boomers
- TrueTouch: Communication Preferences > Engagement Channel Preference > Broadcast Cable TV
- Consumer Behaviors > Generational Segments > Generation Z
- Television (TV) > Household/Family Viewing > Streaming First Cord Cutter Households
- Lifestyle and Interests (Affinity) > Personas (US) Social Media > TikTok Users
- Television (TV) > Ad Avoiders/Ad Acceptors > TV Ad Acceptor Households
Purchase Environment Loyalists
- Mobile Location Models > Visits > Big Box Shoppers
- Retail Shoppers: Purchase Based > Shopping Behavior > Department Store Luxury High Spend Spenders
- Retail Shoppers: Purchase Based > Shopping Behavior > Discount / Dollar Stores: Frequent Spenders
- Purchase Transactions > Shopping > Frequent In Store Buyer Households
- Retail Shoppers: Purchase Based > Shopping Behavior > In-Store vs. Online: eCommerce Diehards
- TrueTouch: Communication Preferences > Purchase Behavior > Wholesale and Big Box Store Shoppers
Purchase-Driven Retail Planners
- Purchase Transactions > Childrens Purchases > Frequent Children’s Product Buyers
- Purchase Transactions > Health and Fitness > Health and Nutrition Buyer Households
- Purchase Transactions > Cosmetics and Beauty Products > High Spending Beauty and Personal Care Buyers
- Purchase Predictors > Shoppers All Channels > High Spending Electronics and Appliance Households
- Purchase Transactions > Household Goods > Housewares and Home Decor Buyer Households
- Retail Shoppers: Purchase Based > Sporting Goods, Apparel > Sporting Goods Frequent Spenders
Alliant
- Brand Propensities > Kids Products > Happiest Baby Buyer Propensity
- Social Propensities > DIY and Crafts > TikTok – DIY Influencers
Attain
- Transaction Data > Past Purchases > Retail > Online Marketplaces
- Retail > Home Improvement > The Home Depot
Kontext
- In-Market > Health & Beauty > Personal Care > Cosmetics > Makeup > Lip Makeup
- Shoppers > Home & Garden > Kitchen & Dining > Kitchen Tools & Utensils
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In our Ask the Expert series, we interview leaders from our partner organizations who are helping lead their brands to new heights in AdTech. Today’s interview is with Samantha Zhang, Senior Data Scientist, and Jim Meyer, General Manager of the DASH TV Universe Study at the Advertising Research Foundation (ARF). DASH is an annual tracking study conducted by the ARF to define and better understand TV audience behavior and household dynamics. What does DASH measure, and how does it help the industry understand TV consumption today? By capturing hundreds of individual- and household-level data points from each respondent in a rigorous and nationally projectable sample, DASH creates a comprehensive picture of U.S. consumer TV “infrastructure” – how America watches. Core elements in DASHElements that create context in DASHTV setsLocation | brand | smartness | service modes | sources DemographicsConnected devices Game consoles |video players | streaming devicesYesterday viewing Daypart | TV/device genre | Out-of-home viewingMobile devicesOwners | sharing usersShoppingOnline and in-store | Exposure to major RMNsInternet serviceModes | ISPs | connectivity by device Streaming audio Streaming TVSVOD/AVOD tiers and sharing | FAST Email accounts and apps Live TV Modes of access | including casting from devices Social media For example, DASH gathers: Data on every TV set, including brand, room location, age, “smartness,” and connection devices and modes Household connectivity and video service data, even in homes with no TV set Internet Service Providers (ISP) and TV service usage, including Multichannel Video Programming Distributors (MVPDs), virtual vMVPDs, streamers (ad-supported and premium), and Free Ad-Supported Television (FAST) channels Person-level ownership and usage of video-capable mobile devices, including smartphones, tablets, and laptops Measures of viewing and co-viewing across dayparts, devices, and services Additional modules covering shopping and retail media networks, streaming audio, social media, email, and apps Broad coverage and granularity make DASH a uniquely robust source of truth for practitioners across the industry, including measurement experts and ad programming strategists. DASH also reports regularly (and publicly) on key industry dynamics. DASH identified a growing segment of device-only viewers – now nearly 9 million households that watch TV, but do not own a TV set – and highlighted the implications of that trend for traditional ratings systems based only on households with TV sets. Households (HHs – million)2025 HHs (M) U.S. penetrationChange vs. 2024 (M)Total US134.8100%+2.7Connected TV (CTV)114.685%+2.1TV (Set)124.292.2%+1.1Device-only8.86.6%+1.6TV-Accessible133.198.7%+2.7 DASH called out the rise in app-based pay TV and proposed a new connection framework that better represents the modern TV world, in which linear and streaming overlap. DASH also defines the universes of households reachable with advertising. This graphic, for example, shows how all ad-supported linear and streaming properties in aggregate define the true scale of TV advertising. While 35 million households (and growing) are reachable only with streaming ads and 13 million (and falling) only with linear ads, most households are reachable with both, underscoring the importance of understanding the “overlap.” Who uses DASH data, and what decisions does it help inform? There are three primary users of DASH, each with its own use cases: Measurement providers, including Nielsen, use DASH to calibrate viewership data, turn household data into persons data (and vice versa) and estimate potential reached audiences–what the providers call media-related universe estimate (MRUEs)–for the calculation of ratings. Not surprisingly, measurement companies were the first to see the value that an independent TV universe study could provide. Media companies, including major broadcasters and streamers, use DASH to add context and color to their ad sales presentations – and to track the measurement providers, whose ratings play a major role in valuing ad inventory. AdTech companies, including Experian, use DASH to create high-value audience segments for activation. The recent accreditation of DASH by the Media Rating Council (MRC) and adoption by Nielsen as an input to its TV ratings have generated interest from a broad range of companies. We are actively pursuing new licensees and partners to make DASH more useful within, and even outside, the TV ecosystem. What does MRC accreditation signify, and why is it meaningful for DASH? MRC accreditation means DASH passed a rigorous audit conducted by Ernst & Young over many months, which validated our methodology, controls, and data quality. MRC accreditation establishes that DASH is an industry-standard dataset. While the service provider normally announces its own accreditation, the MRC took the unusual step of issuing its own release on DASH, announcing the accreditation of DASH for TV universe estimation and endorsing the study for broader, cross-media use. How does Experian use DASH data to build audiences? The segments combine specific TV usage habits and behaviors from DASH with Experian data on demographics, spending, and other contextual inputs to create a fuller view of consumer viewing behavior. They are designed to be valuable to advertisers in many categories and planning contexts – and to be customizable to fit advertisers’ media targets. The segments can be used to: Apply or suppress audiences to improve target coverage across a campaign Better align media and creative Reach elusive but high-value viewers, such as Ad Avoiders Drive valuable consumer behavior Achieve specific advertising objectives What are some practical use cases for DASH-based audiences? Here are some practical use cases for four different kinds of DASH segments in five different advertiser categories. Travel Co-WatchersA couples-only resort uses TV Co-Watching Households without Children to strengthen target reach and ad memory recallA big theme park destination uses TV Co-Watching Households with Children to reach families in moments of togetherness Home Entertainment TV Owners and Brand LoyalistsA premium TV manufacturer uses the overlap of Multi Brand TV Owners and Single Brand TV Loyalist Households to market its newest TV model to its most loyal consumers. Fast Food Screen Size ViewersA fast food chain with a high-impact new brand campaign uses Large Screen TV Viewers to better align the media and creativeThat same fast food chain uses Small-Screen TV Viewers to drive store traffic by increasing exposure of its retail campaign among on-the-go viewers Financial Services Cord Cutters A personal cost management app and a cash-back credit card target Streaming-First Cord Cutter Households to reach young, tech-savvy, cost-conscious consumers Thanks for the interview. Where can readers learn more about DASH? We started work on DASH seven years ago, and it’s been fun to watch it “grow up.” Our partnership with Experian is a big step toward putting DASH to work for advertisers and agencies. To learn more, visit our site at https://theARF.org/DASH or contact us at DASH@theARF.org. Contact us About our experts Samantha Zhang, Senior Data Scientist at ARF Samantha Zhang is a Senior Data Scientist at the Advertising Research Foundation working on the DASH TV Universe Study, with additional research spanning areas including attention measurement, digital privacy, and artificial intelligence. Jim Meyer, General Manager, DASH, at ARF Jim Meyer is general manager and co-founder of the ARF DASH TV Universe Study and managing partner of Golden Square, LLC, which advises media and research technology companies on growth strategy and development. Latest posts