Lifecycle Intelligence Hub

You're about to launch a win-back campaign. But who's actually at risk?

Your customer data lives in six places: email engagement in Klaviyo, purchase history in Shopify, support tickets in Zendesk, product usage in Amplitude, NPS scores in Delighted, and transaction data in Stripe. Each tool shows you a slice. None of them shows you the customer.

So you export. You merge. You build a spreadsheet that calculates "health" based on whatever signals you can stitch together. By the time you've figured out who's at risk, half of them have already churned. The other half get a win-back email that arrives three weeks too late.

This is the gap between having customer data and having customer intelligence. Gartner says only 14% of organizations have achieved a unified customer view—but 82% are still trying. The pursuit of "Customer 360" has become an industry unto itself: six-month CDP implementations, $100K annual contracts, data engineering backlogs that never clear.

Meanwhile, your campaigns fly blind.

This hub closes the gap.

• Upload your customer data—behavioral events, email engagement, support interactions, transactions—and get back a unified view of customer health. Not a dashboard that shows you everything. A dashboard that shows you what matters: who's healthy, who's slipping, who needs attention now.
• The health score is transparent. You see exactly which signals contribute—engagement trends, purchase recency, support sentiment, product adoption—and how they're weighted. No black box. When someone asks why a customer is flagged as at-risk, you have an answer.

More importantly, you have a trigger.

Every health change surfaces a recommended action. Customer engagement dropping? Here's a re-engagement sequence. Support tickets spiking? Here's a check-in prompt. VIP showing early churn signals? Here's an escalation path. The intelligence layer doesn't just tell you what's happening—it tells you what to do about it.

This is the foundation that makes lifecycle campaigns actually work. You can't run a good win-back campaign if you don't know who's at risk. You can't time an upsell if you don't know who's thriving. You can't prioritize retention if every customer looks the same.

The sample dashboard shows 500 customers across five health tiers. See how the signals combine, how the scores calculate, and how the recommendations flow—then connect your own data.

Know your customers. Time your campaigns.