Protect your most valuable members
Combine CLV with Churn Prediction and your most valuable members at risk get the first save campaign.
Think of a frequent flyer whose bookings are thinning out, spotted while there’s time to win them back.

Scale rewards and campaign budget to each member’s predicted value, so the biggest bets back your most valuable members.
See whose value is climbing or sliding while there’s still time to act on it.

Rank members by value so the people who matter most to your program get your team’s attention first.

Tie loyalty spend to predicted member value, and show finance what each investment can return.


The CLV model works with the loyalty data you already collect, and every prediction lands right where your team plans and measures its campaigns.
An AI model scores each member’s future value using the transactions, balances, rewards, and tiers already in your program.
Follow each member’s value over time, so a rising star or a quiet decline shows up early enough to act on.
Group members by predicted value and hand those audiences straight to your rewards, offers, and campaigns.
Measure how high-value segments respond to each campaign with the reporting and testing already built into the platform.
Pair CLV with Churn Prediction to see value and risk together, or with Next Best Offer to choose what high-value members get.
Member value pays off most in the everyday calls loyalty teams make, and each scenario below shows how that looks inside a working loyalty program.
Combine CLV with Churn Prediction and your most valuable members at risk get the first save campaign.
Think of a frequent flyer whose bookings are thinning out, spotted while there’s time to win them back.

A climbing value trend tells you who to invest in before they plateau.
A grocery shopper who’s started adding fresh produce and baked goods is worth a growth offer now, while the habit is forming.

Upgrades, lounge passes, and exclusive rewards cost real money, so give them to the members whose predicted value justifies them.
An airline can save upgrades for the passengers worth the most over time.

Reactivation spend goes further when it targets lapsed members with high predicted value instead of everyone who went quiet.
A fuel customer who used to fill up weekly is worth a personal comeback offer.

When investment follows predicted member value, the payoff reaches past any single campaign and into how the whole business runs its loyalty program.
Offers and benefits go to members likely to repay them, so reward cost tracks member value instead of member count.
Save and win-back campaigns reach the members whose departure would cost the most, and results tie back to customer value.
Your loyalty team works from a ranked view of members and puts the saved hours into testing what works.
Bring one real decision your team is weighing and talk it through with a Comarch Loyalty expert, using CLV to show where the investment should go.
Customer lifetime value (CLV) is a prediction of how much a member is likely to be worth to your loyalty program over time. In Comarch Loyalty, an AI model calculates a CLV score for every member and tracks how it changes, so your team can see where rewards, campaigns, and retention effort will pay off.