Retailers are sitting on a goldmine of data—loyalty programs, point-of-sale activity, mobile app engagement, site behavior, and more. But a huge portion of that activity still happens in the dark: cash purchases, guest checkouts, and anonymous browsing that never tie back to a known person.
Alongside dealing with a high volume of unresolved transactions due to incomplete customer journeys and measurement blind spots, retailers also have to tackle the challenge of fragmented data across channels. Loyalty data, in-store transactions, media interactions and digital engagement often live in different systems. Furthermore, there is a strong requirement for responsible enrichment and activation. Retailers seek to enrich their data with high-quality third-party attributes, without locking that data into a single provider or channel.
But what if you could transform these anonymous transactions into rich customer profiles? What if you could link a guest checkout to a previous website visit, connect an in-store purchase to an email address, and enrich that profile with demographic and behavioral data—all while respecting each party’s privacy requirements?
That's exactly what one major retailer accomplished by combining three powerful solutions: Treasure AI's Agentic Experience Platform, LiveRamp, and third-party data enrichment from providers like Acxiom.
The retailer was able to overcome the outlined challenges and build a more complete, responsible view of their customers, turning previously “unknown” transactions into actionable insight.
The result?
A unified view of customers across all touchpoints, enabling real-time personalization, accurate measurement, and significant revenue uplift.
The three-part solution: unifying data, resolving identity, and enriching profiles
Part one: building a unified customer foundation
The first step was consolidating fragmented customer data into a single, actionable platform. The retailer was collecting data from multiple sources—point-of-sale systems, e-commerce platforms, mobile apps, loyalty programs, and third-party marketing channels—but these systems operated in silos. There was no unified customer 360 view, no way to link online and offline behavior, and no real-time activation capability.
They needed a way to:
- Capture and organize anonymous interactions.
- Seamlessly “promote” those anonymous profiles to known customers once PII was available.
- Use third-party data to enrich both loyalty and previously unresolved transactions.
- Activate and measure across paid media and owned channels, with identity at the core.
Treasure AI solved this by:
- Ingesting data from all sources: POS transactions, web clickstream, mobile app events, CRM records, loyalty program data, and external marketing signals all flowed into a single platform.
- Creating persistent customer profiles: The Treasure AI Intelligent CDP stitched together fragmented identifiers (email, phone, loyalty ID, device IDs, hashed identifiers) to build a unified profile for each customer, even when they shopped across channels.
- Enabling real-time personalization: With unified profiles, the retailer could now personalize website content, app experiences, and in-store offers in real time based on customer behavior and preferences.
- Supporting omnichannel activation: Audiences built in Treasure AI could be activated across email, SMS, mobile apps, digital ads, and in-store systems—ensuring consistent messaging across all touchpoints.
Part two: bringing together identity and third-party data at scale
With a robust customer data foundation, the retailer needed a way to enrich their profiles with third-party attributes such as demographics, household, lifestyle, and more. They also needed to manage and activate tokenized identifiers in a secure way. Another priority was to maximize the value of their data across paid media and owned channels.
Third-party enrichment via LiveRamp
Through LiveRamp’s network partnerships with leading data providers such as Acxiom, the retailer could enrich loyalty profiles with additional demographic and behavioral attributes. They could also enrich previously not yet linked transaction clusters once they were linked to an identity—closing the loop on what were once inactionable purchases.
Furthermore, they were able to bring enriched datasets into a controlled cloud environment (such as Snowflake or their warehouse of choice) without gating that data behind a single activation channel. This resulted in a richer, more actionable dataset that:
- Stays under the retailer’s control
- Can be used for segmentation, analytics, and modeling
- Fuels smarter decisioning and personalization downstream in Treasure AI
A separate environment for retailer-controlled identity
For the retailer, LiveRamp’s durable, interoperable identifier, RampID, became the connective tissue across channels and partners, providing a consistent identifier to bridge media exposure, site/app behavior, and in-store transactions, as well as unlock people-based marketing and measurement independent of legacy signals like third-party cookies. Critically, RampID helped the retailer to support a separate environment dedicated to the retailer’s use cases, including securely collaborating first-, second-, and third-party data.
Part three: better-together activation and measurement
The real power of the partnership between the retailer, Treasure AI and LiveRamp shows up when you look at how these pieces work in concert for activation and outcomes.
Unified customer profiles in Treasure AI
All of the retailer’s first-party data (loyalty, POS, web, app, CRM) streamed into Treasure AI. Treasure AI also ingested the LiveRamp-enriched datasets (e.g., Acxiom-based enhancements) into the same environment. The result was a collection of holistic customer profiles, which combined first-party behavioural and transactional data, third-party attributes and secure RampID-based linkages. Treasure AI became the central intelligence layer for segmentation and decisioning.
Seamless activation through LiveRamp
RampID powers seamless activation and connectivity across the ecosystem, enabling marketers to leverage their segments, then activate across hundreds of media destinations—social platforms, open web, retail media networks, and more. The retailer could then maximize reach and scale while maintaining consistent, people-based targeting logic.
Conversion APIs and loyalty-focused measurement
The retailer also used LiveRamp’s Conversion API integrations to seamlessly collaborate high-quality conversion signals with major platforms. These include Treasure AI-sourced events—like loyalty signups, in-store redemptions, and digital conversions — all resolved to RampIDs. The retailer was able to measure and optimize media specifically against loyalty signups and high-value actions — not just clicks or impressions — powered by people-based marketing.
This creates a virtuous cycle whereby media drives new loyalty signups and purchases. Those events are then captured, resolved, and enriched in Treasure AI. LiveRamp provides an identity spine linking deterministic identity and media exposure, powering better audience building and bid strategies, as well as continually-improving performance.
Why this matters: the power of data in action
The major retailer’s story is a blueprint for data done right, from the retailer’s first-party data — including transactions, loyalty, and behavioral signals — to Treasure AI’s Agentic Experience Platform, and third-party data collaboration powered by LiveRamp.
Together, LiveRamp and Treasure AI help retailers:
- Turn unauthenticated shoppers into known customers
- Unlock deeper, more accurate customer understanding
- Drive incremental loyalty signups and higher-value outcomes from media
- Build a resilient strategy in a world of signal loss and rising data governance expectations
The future of retail data collaboration
As retailers push to modernize their data strategies, collaborations such as this show what’s possible when:
- All interaction data is captured—even when anonymous.
- Identity and enrichment are handled in a responsible , interoperable way.
- Activation and measurement are anchored on a consistent, durable ID across channels.
This proves retailers and brands can transform unknown transactions into durable customer relationships, and use that insight to continually improve every dollar of media and every customer experience.
