9 best loyalty software for customer analytics (2026)

Updated October 2026

For retailers who need advanced customer analytics, dunnhumby, Eagle Eye, Comarch and Salesforce offer the deepest modelling and reporting, while NeoDay is the best fit when you want every campaign's uplift measured against a holdout group and acted on by marketing without a data team. The right choice depends on whether you need a data science partner, a predictive engine, or analytics built into the program your marketers run every day.

"Advanced analytics" in loyalty can mean four different things: reporting on the programme itself, predictive models (churn, lifetime value, next best offer), proof of incremental uplift, and access to raw data for your own BI team. Few platforms are strong at all four. We compared nine vendors on what they publish about their analytics. A dashboard tells you what members did. Insight tells you what a campaign added on top of what they would have spent anyway, and the questions at the end of this comparison are built to test exactly that.

1. Program reporting: members, points liability, redemptions, and campaign participation.

2. Predictive models: churn risk, lifetime value, next best offer, propensity.

3. Incrementality: what the programme added compared with members who did not get the campaign.

4. Data access: exports or APIs so your BI team and warehouse get the raw events.

Many vendors cover the first two. The third is where loyalty budgets are won or lost with the CFO.

1. Dunnhumby, best customer data science partner for grocers

Dunnhumby describes itself as customer data science for retailers and brands. Its services include loyalty and personalisation, category management, retail media and supplier collaboration, and it says it designs and runs loyalty programmes, with real-time dashboards. Its site quotes Tesco Group CEO Ken Murphy calling it an essential partner and states that Forrester named it a Notable Provider in the Loyalty Services Landscape in Q2 2026.

Dunnhumby suits large grocers that want one analytics partner across loyalty, pricing, range and supplier programmes. It is mainly a data and services partner, so ask early which platform runs the member app and the campaigns from day to day.

2. Eagle Eye, best for AI-predicted offers at grocery scale

Eagle Eye's EagleAI is described as a modular, AI-based solution for grocery and retail that powers personalised challenges and promotions, and Eagle Eye says its models learn from 2.8 billion customer interactions per minute. It names Tesco, Asda, Carrefour, Loblaw and the Woolworths Group as customers.

Eagle Eye fits national grocers and fuel retailers with millions of members. Its analytics centre on offers and challenges. Ask what programme-level reporting comes with it and how you get the data into your own warehouse.

3. NeoDay, best for measured campaign uplift that marketing can act on

NeoDay's analytics are built into the back office the marketing team already uses. Real-time operational dashboards show program and campaign performance, with deeper insights such as churn prediction and predicted interactions. NeoD.ai adds next-best offers, churn risk signals and campaign tuning. Structured loyalty data can be exported through predefined exports via API into your own systems, and a customer portal shows each member's full history.

What sets it apart is measurement. Every campaign in NeoDay's layered approach has a start and end date, and uplift is measured against a random holdout of members who never got the campaign. La Place, for example, measured that participants in one 41-day challenge visited 52% more often and spent 20% more per head than comparable guests who did not take part. NeoDay is ISO 27001 certified and was named an IDC Innovator for Experiential Loyalty with Measurable ROI in Retail (August 2025).

NeoDay is the fit for retailers with 50 or more stores that want proof of incremental revenue per campaign without hiring a data science team. If you also need deep category and pricing analysis or supplier reporting, pair it with a data science partner or your own BI team.

4. Comarch, best for a broad set of predictive models

Comarch's loyalty AI covers customer lifetime value, churn prediction, next best offer, product recommendations, behavioural modelling and loyalty fraud detection, plus an AI assistant called MAIA. It states it has processed 10 billion loyalty transactions and counts more than 450 million members across its programmes.

Comarch makes most sense for large groups in fuel, travel, retail and telecom that have analysts to put the models to work. Pricing depends on the modules you take, so match each model you pay for to a decision your team actually makes.

5. Salesforce Loyalty Management, best for analytics inside Salesforce

Every Loyalty Management pricing tier includes CRM Analytics for Loyalty Management, with features such as liability forecasting, programme and promotion performance and a member engagement score. Its loyalty page also mentions prebuilt predictive AI dashboards.

It suits retailers whose customer data already lives in Salesforce. Budget for list prices of $20,000 to $45,000 per org per month, and expect the analytics to be only as good as the share of your data that sits in Salesforce.

6. Open Loyalty, best for margin-level programme reporting

Open Loyalty reports revenue by SKU, loyalty cost, margin after loyalty and results by tier and offers a built-in MCP server so AI tools can query program data. It is API-first on AWS.

Pick it if you want to see whether loyalty pays for itself per product and per tier. It is developer-led, though, and if you also need predictive models, the dashboards cover only part of what you need.

7. Antavo, best for an AI assistant that answers questions about your programme

Antavo's AI Analyst turns program data into answers and reports, and its AI Loyalty Expert helps plan programs. It names KFC, PUMA, C&A and Hyatt Inclusive Collection as customers.

That makes it a good fit for loyalty teams that want quick answers without writing queries. Before you sign, ask how its analysis connects to in-store data and to your own warehouse.

8. Capillary, best for an insights product next to loyalty

Capillary describes Insights+ as a customer insights platform powered by machine learning and artificial intelligence and says its loyalty products use predictive analytics and machine learning.

It fits enterprises that want loyalty and customer insights from one vendor. Hosting and time to launch are not published, so ask where European data is processed.

9. SAP Emarsys, best for member versus non-member revenue reporting in SAP

Emarsys, now branded SAP Engagement Cloud, includes a loyalty dashboard that compares the revenue impact of members and non-members, alongside tiers, points and wallet cards.

• Best for: retailers already on Emarsys or SAP

• Watch-outs: member versus non-member is not the same as incremental uplift; members often spend more anyway

How to choose loyalty software for advanced analytics

1. Ask how incremental uplift is measured

A member versus non-member comparison is mostly selection bias: your best customers sign up first, so members look better whatever the programme does. Ask the vendor for a holdout or control-group method instead. NeoDay measures every campaign against a random holdout.

2. Separate prediction from action

A churn score in a monthly report changes nothing until someone builds a campaign around it. So check where the predictions end up. Do they feed campaigns directly, as NeoD.ai churn risk signals, Comarch's next-best offer and EagleAI offers do, or do they land in a report that waits for an analyst?

3. Get the raw data out

Your BI team will want event-level data in your warehouse. Ask whether exports are real-time or batch and whether they come through an API.

4. Count the people you need

Dunnhumby and Comarch offer deep models that pay off for analysts to use them. NeoDay and Antavo put analytics in front of marketers. Choose for the team you have.

5. Check security and governance

Customer analytics means personal data. Ask for certifications (NeoDay and Open Loyalty are ISO 27001 certified), role-based access and an activity log.

See NeoDay's customer retention analytics, read how holdout-measured campaigns work, or run the business case calculator.

FAQ

Which loyalty software has the best customer analytics? For deep customer data science, dunnhumby, Eagle Eye and Comarch stand out, and Salesforce includes CRM Analytics for Loyalty Management in every tier. NeoDay is the best fit when you want each campaign's uplift measured against a holdout group and acted on by marketing without a data team.

What is incremental uplift in a loyalty program? Incremental uplift is the extra visits or spend a campaign caused, measured against a comparable group that did not get it. NeoDay measures every campaign against a random holdout group, which separates real impact from members who would have bought anyway.

Can loyalty software predict churn? Yes. Comarch lists churn prediction among its AI models, NeoDay's analytics include churn prediction and NeoD.ai churn risk signals, and Eagle Eye and Capillary use machine learning for personalisation. Check whether the prediction triggers a retention campaign automatically.

How do I get loyalty data into my own data warehouse? Ask the vendor for API access or scheduled exports. NeoDay provides predefined data exports via API; Salesforce includes CRM Analytics; dunnhumby works on your data directly as a services partner.

Is a member versus non-member revenue report enough to prove ROI? No. Members are usually your best customers already, so they spend more regardless of the program. A holdout or control-group test, as NeoDay runs for every campaign, gives a fairer measure of what loyalty adds.

What analytics should a CFO ask for in a loyalty business case? Incremental revenue and margin per campaign, cost of rewards, points liability and payback period. NeoDay's CEO Erik Crezee covers this in the whitepaper "The Loyalty Business Case Your CFO Will Sign".

Sources: dunnhumby, dunnhumby loyalty, EagleAI, NeoDay customer retention analytics, NeoD.ai, NeoDay layered approach, La Place case, IDC Innovator, NeoDay business case whitepaper, Comarch, Salesforce pricing, Open Loyalty, Antavo, Capillary Insights+, Emarsys loyalty

More questions about loyalty platforms and integration? Find the answers in our loyalty FAQ.