Why Loyalty Platform Data Is One of the Highest-Value Inputs to a Modern CDI Platform

As consumers, we’re used to knowing that all the data we produce today in our interactions with brands gets collected. Not only in our purchase journey, from research to cart to customer service, but also our mentions, referrals, reviews, and so on. Companies have had to build out customer data infrastructure (CDI) to unify identities, preferences, and behavior into a single operational layer.

That’s strategic, because it can point out trends, show friction in the process, feed back into new products, and so on and so forth. But one input keeps proving more valuable than the rest: the data generated inside a loyalty program. Loyalty data is different because customers give it willingly, in exchange for something they actually want.

That consent, combined with the depth of behavioral signal a program produces, is exactly what a CDI needs to power personalization, retention, and revenue models. Recent research from Forrester, BCG, and Antavo shows why this input deserves more attention than it typically gets.

Precious Data Most Brands Still Don’t Use

A loyalty platform is one of the few systems where a customer actively tells a brand what they want, how often they engage, and what motivates them to come back. Left isolated in a standalone loyalty tool, that information stays a retention metric. Fed into a CDI, it becomes a foundation for every other channel.

A Forrester Consulting study published in May 2026, and based on a survey of 310 loyalty and marketing decision makers, found that 27 percent of brands do not use their loyalty programs to collect first-party data at all, and 38 percent do not use them to collect zero-party data, meaning preferences customers state directly.

Only 26 percent of respondents rated their loyalty programs as very effective, and 91 percent said data-related barriers, including data quality issues and organizational silos, were holding them back from acting on the information they already had.

That is staggering, but at the same time, not exactly a surprise. Loyalty programs sit on some of the richest, most consented data available to a brand, yet most organizations cannot connect it to the rest of their marketing stack. This is precisely the integration problem a CDI is designed to solve, and it explains why loyalty data pipelines are increasingly treated as core infrastructure rather than a side project for the loyalty team.

What Makes Loyalty Data Worth Prioritizing

Antavo’s Global Customer Loyalty Report 2026 found that marketers now allocate more than half of their total marketing budget (51.5 percent) to loyalty and CRM. What stands out more than the number itself is why: sustained loyalty interaction generates a steady stream of structured, permissioned, first-party data, and only 3.4 percent of members ever opt out, meaning most of that data keeps flowing even through dormant periods.

Antavo makes the point directly: loyalty data is emerging as one of the richest and safest training grounds for AI, because it ties consented insight to real outcomes such as repeat purchases, referrals, and reward redemption.

BCG’s research adds the behavioral piece. Its most recent loyalty program survey found that companies build stronger, more differentiated programs when they combine current and past behavioral data with personalized offers, rather than relying on points alone. It points to Wendy’s as an example, an AI-based platform that pulls data from its app, its ordering system, and its customer database to build individualized promotions for loyalty members. 

Where a Loyalty Platform Fits Inside the CDI

Together, these findings point to the same conclusion: loyalty programs collect exactly the kind of consented, high-intent data that personalization and retention strategies depend on, but most of it never reaches the systems that could use it.

Building the connection between a loyalty platform and a CDI typically involves a few practical steps.

• Mapping loyalty identifiers to a single customer profile so points, tiers, and redemptions align with behavioral and transactional data from other channels.
• Structuring zero-party inputs, such as stated preferences and quiz responses, as first-class fields the CDI can activate, not just program metadata.
• Setting clear governance around consent so loyalty data can move into marketing and service tools without creating compliance risk.
• Feeding engagement signals back into program design, since a CDI can reveal which rewards and communications actually change behavior.

Fielo, which has spent years helping brands design and run loyalty programs, has pointed to a similar pattern in its own guidance for building programs that work over time, noting that programs succeed when they are built around clear customer segments and measurable engagement rather than generic point systems.

The Takeaway

If your company still treats loyalty programs as a glorified promotion strategy, built only to reward repeat customers with discounts or points, something is really wrong there. Nowadays, their more important function is generating the consented, high-quality data (the new oil, remember?) that a CDI needs to personalize every other interaction, or even to uncover new business opportunities in the demand patterns those programs reveal.