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, connected TV (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 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
Latest posts
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 Georgia Campbell, Head of Strategic Partnerships at Kontext. What types of audiences does Kontext provide, and what are some top use cases for these insights in marketing strategies? Kontext leverages its 1st-party, deterministic shopping data to generate real-time online audiences. What sets Kontext apart is our ability to see the entire consumer journey, from shopping interest to intent and purchases, at a SKU-level. This comprehensive visibility allows us to create purchase-based audiences across various consumer verticals, such as frequent online shoppers, consumers shopping for beauty, segments using Mastercard, or Black Friday enthusiasts. Our data engine, built on a foundation of approximately 100 million consumer profiles and over 10 billion full-funnel, real-time shopping events, enables the creation of precise audience segments. This real-time 1st-party shopper data is invaluable for partners aiming to understand and engage with consumers more effectively. Whether a brand wants to activate past shoppers in a specific category or reach new audiences with a propensity to buy, Kontext provides the insights needed to make informed decisions. Some examples of audience types include these (and hundreds more): In-Market Shoppers: Consumers showing high intent to purchase specific categories, like skincare or electronics, based on recent online behavior. Past Purchasers: Shoppers who have made verified purchases within specific time frames, such as beauty products in the last 18 months. Frequent Shoppers: High-frequency buyers identified through repeated purchasing behaviors. Seasonal Shoppers: Consumers active during key shopping seasons, like Black Friday, Mother’s Day, Valentine's Day, etc Premium Buyers: Shoppers who used a premium CC (eg. Amex) and a higher AOV (average order value) Beauty Buyers: an audience that has indicated intent to purchase beauty products (deterministic past purchasers also avail) By using Kontext data, brands can identify the right audiences across multiple verticals, such as retail, CPG, health & wellness, auto, business, energy & utility, financial, and travel. Additionally, our collaboration with Experian allows further refinement of these audiences through layered data from specialty categories like demographics, lifestyle & interests, mobile location, and TV viewing habits. How is Kontext’s data sourced, and what differentiates it from other data providers? Kontext’s data is unique because it is deterministic, 1st-party, and collected as transactions occur. We capture the entire path-to-purchase, down to the SKU-level product detail, across 100 million consumer profiles and more than 10 billion real-time shopping events. Our proprietary technology, embedded in widgets across our 5 million premium online destinations, tracks the full consumer journey—from reading an article of interest to clicking on our dynamic commerce modules, adding items to cart, and completing purchases. This real-time data collection ensures there is no lag between digital events and their connection to consumer profiles. Unlike other providers, we do not aggregate data from multiple platforms; instead, we focus on building our models and insights based on authentic online consumer behavior. Our data stands out due to its: Deterministic Nature: We capture 1st-party data as transactions occur (all in real time) Full-Funnel Coverage: We capture consumer journeys from awareness to purchase, providing a complete view of consumer behavior. Real-Time Insights: Our data engine processes events in real-time, enabling timely and relevant marketing actions. How does Kontext ensure the accuracy and reliability of its audience data? Kontext ensures accuracy and reliability through our unique technology and direct data sourcing. By not aggregating data from other platforms, we maintain control over the quality and integrity of our insights. Our continuous investment in refining our models around online consumer behavior further enhances the precision of our audience data. What types of brands or verticals might resonate the most with Kontext audiences for activation? Any brand looking to understand and activate online shopping behavior – informed by 1st-party transaction data – will resonate with Kontext audiences. Essentially, any vertical that benefits from understanding real-time shopping behaviors, such as retail, health & wellness, auto, and financial services, will find our data invaluable. We have particularly strong insights in beauty, hair care, health & wellness, and values-based online shopping habits, as well as the food & beverage space. Retail & Consumer Goods: Leveraging shopping behavior data for targeted campaigns. Health & Wellness: Identifying consumers with specific health and wellness interests. Automotive: Targeting potential buyers of electric vehicles or eco-friendly products. Financial Services: Engaging high-value shoppers with premium credit card usage. And many more How does Kontext’s data help advertisers navigate the challenges posed by the deprecation of third-party cookies? As third-party cookies become less reliable, Kontext’s 1st-party data becomes invaluable. Our deterministic data engine, which does not rely on cookies, offers: Direct Consumer Insights: Accurate and consented data directly from consumer interactions. Privacy Compliance: Our data collection methods are fully compliant with privacy regulations, ensuring secure usage. Cross-Device Coverage: We use verified digital identifiers, allowing seamless unification and targeting across multiple devices. What measures does Kontext take to maintain data privacy and compliance, and how does this benefit advertisers? Data privacy and compliance are fundamental to Kontext. We meet or exceed all privacy compliance and security standards, ensuring that our data sourcing and usage are transparent and comply with regulations (CCPA, CPRA, VCDPA, etc). Kontext prioritizes data privacy and compliance through: Consented Data Collection: All data is collected with explicit consumer consent. Robust Security Protocols: Data is encrypted and secured with industry-leading practices. Compliance with Regulations: We adhere to global privacy laws, including GDPR and CCPA. User Control: Consumers have the ability to opt-out and manage their data preferences. Can you share success stories / use-cases where advertisers significantly improved their campaigns using Kontext’s data? To give you a sense of how Kontext data can be applied, here are two use-cases: Beauty Brand Campaign: An agency hoping to activate an audience of beauty purchasers for a Major Beauty Brand could utilize Kontext's custom audience of high-value beauty product purchasers. By targeting those consumers who had bought similar products in the last 12 months and had an average cart size of over $50, the campaign would significantly increase performance and ROAS. Electric Vehicle Launch: For a major auto manufacturer’s EV launch, Kontext could be used to identify eco-friendly consumers who had not yet purchased an EV but had shown interest in sustainable products. This precise targeting could lead to higher engagement and conversion rates for the campaign. Thanks for the interview. Any recommendations for our readers if they want to learn more? For those interested in learning more about Kontext, reach out for a personalized consultation. Contact us About our expert Georgia Campbell, Head of Strategic Partnerships, Kontext In her current role as Head of Strategic Partnerships at Kontext, Georgia plays a pivotal role in shaping the company's strategic direction within the data space. With a deep-seated expertise in leveraging data to drive impact for companies, Georgia has been forging key partnerships that enhance the effectiveness and reach of Kontext's offerings. Georgia comes from a background in emerging technology, where she has been focused on cultivating partnerships and employing data-driven approaches to spearhead market expansion efforts. She started her career in finance, managing investments across equity, debt, and alternative assets at Brown Advisory. In this Q&A, Georgia shares her insights on Kontext's Onboarding partnership with Experian, offering perspective on how Kontext's unique insights can unlock new opportunities for advertisers and brands alike. Latest posts

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