Your loyalty program already knows where it makes money, and Data Analytics makes sure your teams know it too.
See what’s issued, redeemed, and still sitting as liability, what each promotion costs against what it drives, and what every partner owes or is owed, all from the same shared data.
Configurable reports, dashboards, and scheduled exports give your teams the numbers they need without waiting on a BI backlog. Ask a business question and answer it while it still matters.
Failed transactions, billing exceptions, and stuck reward orders surface in alerts and reports before they turn into partner complaints. AI decision models forecast points and tier activity, so next quarter holds fewer surprises.
Data Analytics covers every part of your program that produces data, so each team finds its own answers in the same shared reports.
Track enrolment, participation, and member attributes across programs, then follow how customers climb or slip between tiers. See who’s close to qualifying, who’s drifting, and which segments or markets are growing fastest, all from configurable dashboards.
Report on accrual, redemption, refunds, and reversals at program, partner, or transaction level. Filter by channel, location, point type, or status, and drill from a monthly total into the exact transactions behind it whenever a number looks off.
See which promotions and business rules fired, how many transactions they touched, and what they cost in points and discounts. Compare results across partners and locations to decide which campaigns earn another run and which get retired.
Follow every reward order from redemption to delivery, with status, category, channel, and partner in one view. Spot stock gaps, delivery exceptions, and refund spikes before members start calling to ask where their reward went.
Give finance and partner teams one source for billing value, price per point, accrual and redemption charges, and settlement status. Not-billed transactions and exceptions show up in dedicated reports, so month-end reconciliation gets a lot shorter.
Build interactive dashboards, schedule recurring reports, and set alerts that fire when a number crosses a line you define. Export the data, deliver it over SFTP, or feed it into your enterprise BI environment so analysts keep their workflow.
AI decision models look ahead in your loyalty data, so teams plan with forecasts and recommendations instead of last month’s report.
Forecast points issuance, redemption, tier movement, and reward demand, so finance can plan liability and operations can stock rewards before the rush.
Propensity models suggest which members are most likely to respond and what to offer them, so marketers start from a shortlist instead of a guess.
AI flags shifts in member behavior nobody thought to report on, like a segment suddenly spending less, while there’s still time to respond.
Comarch Loyalty’s Data Analytics pairs transaction-level reporting with AI decision models, so every team knows what happened and what to do about it.
