Retail/Consumer

Loyalty Program Data

Buy and sell loyalty program data data. Points balances, redemption patterns, and tier progression from millions of loyalty members. This is behavioral gold.

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Overview

What Is Loyalty Program Data?

Loyalty program data captures the behavioral and transactional intelligence of millions of enrolled members: points balances, redemption patterns, tier progression, member demographics, and engagement metrics. This dataset reflects real-world purchasing behavior, customer lifetime value signals, and response to personalized reward mechanics. In 2025, more than 3.8 billion loyalty program memberships are active globally, creating an enormous pool of first-party data that brands use to power audience targeting, product recommendations, and media monetization. With third-party cookies deprecating and privacy regulations tightening, loyalty program data has become the most scalable mechanism for consumer brands to build proprietary, consented first-party data assets at scale.

Market Data

$12.8 billion (2025)

Global Loyalty Program Market Size

Source: DataIntelo

3.8 billion

Active Loyalty Memberships Globally

Source: DataIntelo

$28.6 billion

Market Forecast (2034)

Source: DataIntelo

9.3%

Projected CAGR (2026–2034)

Source: DataIntelo

55–70% (major grocery chains)

Loyalty Members as Share of Store Revenue

Source: DataIntelo

Who Uses This Data

What AI models do with it.do with it.

01

Retailers & Grocery Chains

Use points balances, redemption patterns, and tier progression to identify high-value segments, optimize promotional offers, and increase repeat purchase frequency. Loyalty members generate 55–70% of total store revenues at major chains despite representing a smaller proportion of the shopper base.

02

Financial Institutions & Credit Card Issuers

Leverage redemption data and member engagement metrics to refine credit card rewards structures, predict churn risk, and develop AI-powered personalization engines that increase redemption rates by up to 4 times compared to generic programs.

03

Airlines & Travel Brands

Analyze point-earning and redemption behavior to forecast seat inventory demand, optimize award pricing, and create tiered benefits that align with customer lifetime value. Programs like Delta SkyMiles and Chase Ultimate Rewards collectively enroll hundreds of millions of members.

04

E-commerce & Digital Platforms

Apply customer loyalty data to refined marketing, personalized product recommendations, and audience segmentation. Integration of loyalty mechanics into digital wallets and super-apps accelerates enrollment and engagement.

What Can You Earn?

What it's worth.worth.

Basic Loyalty Segment Data

Varies

Anonymized tier distribution, aggregate redemption rates, and member count by program tier

Behavioral Cohort Data

Varies

Points earning velocity, redemption patterns, and engagement signals segmented by member demographics and purchase categories

Individual Member-Level Records

Varies

Points balances, redemption history, tier status, and transaction-level attributes for consented members

Real-Time Engagement & Propensity Data

Varies

Live churn risk scores, next-best-action signals, and personalization tags derived from member behavior

What Buyers Expect

What makes it valuable.valuable.

01

Consent & Privacy Compliance

Data must be sourced from consented loyalty members, compliant with GDPR, CCPA, and emerging data privacy regulations. First-party data from loyalty programs carries inherent consent advantages over third-party data sources.

02

Data Freshness & Recency

Redemption patterns, points balances, and member tier status should reflect recent transactional activity. Real-time or daily-updated datasets command higher value than stale quarterly snapshots.

03

Segment Scale & Representativeness

Buyers expect millions of members across diverse merchant categories (grocery, retail, airline, BFSI) to ensure statistical significance and cross-vertical applicability of insights.

04

Behavioral Signal Fidelity

Clean, de-duped member IDs linked to consistent earning and redemption transactions. Unclear or conflated loyalty metrics reduce actionability for personalization and targeting use cases.

05

Metadata & Contextual Enrichment

Member demographics, purchase category affinities, program tenure, and tier progression history add analytic depth and enable more precise audience segmentation.

Companies Active Here

Who's buying.buying.

Starbucks Rewards

Direct loyalty member engagement; points redemption analytics to optimize drink promotions, personalized offers, and in-app targeting

Delta SkyMiles

Airline loyalty program operator; member earning velocity, award redemption forecasting, and tiered benefit optimization

Chase Ultimate Rewards

Credit card rewards program; redemption propensity modeling, customer lifetime value prediction, and personalized offer delivery

Amazon & Walmart

Subscription and points-based loyalty; e-commerce customer retention, repeat purchase prediction, and dynamic pricing optimization

Major Grocery Chains

Points program operators; segment identification, promotional targeting, and revenue attribution tied to loyalty membership

FAQ

Common questions.questions.

How many active loyalty program members are there globally?

More than 3.8 billion loyalty program memberships are active globally as of 2025, representing a massive pool of consented customer data across retail, travel, financial services, and hospitality sectors.

What is driving demand for loyalty program data?

Three converging forces are accelerating growth: first, the deprecation of third-party cookies has made loyalty program data the most scalable source of consented first-party data for consumer brands; second, over 67% of large enterprises in North America and Europe have deployed AI-powered personalization tools that rely on loyalty member behavior to increase redemption rates by up to 4 times; and third, rising customer acquisition costs are motivating brands to invest heavily in member retention and lifetime value optimization.

Which industry verticals use loyalty program data most intensively?

Retail dominates with 38.6% of loyalty program market revenues, driven by high-frequency grocery, fashion, and electronics transactions. Loyalty members at major grocery chains generate 55–70% of total store revenues. Airlines, financial institutions, and travel brands are also major users, particularly for redemption forecasting and personalized pricing.

What geographies represent the largest opportunity for loyalty program data?

North America commanded 38.4% of the global loyalty program market in 2025, equivalent to $4.9 billion, driven by entrenched loyalty culture and aggressive AI-powered personalization adoption. However, Asia Pacific and Latin America are contributing incremental growth as rising middle-class populations and digital payment infrastructure make loyalty program adoption viable for a broader universe of merchants.

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