Customer signals arrive from support, product, billing and research systems, and they rarely agree with each other. We resolve them into one trusted view, apply consent and retention rules at the source, and connect that view to the experience, retention and next-best-action decisions your teams actually make.
We stitch identity across support, product, billing and survey systems, and record how confident each match is rather than presenting a guess as a fact.
Consent state, purpose and retention rules sit on the customer record itself, so a signal cannot be used in a way the customer did not agree to.
Segments, churn signals and next-best-action recommendations are delivered into the tools service, marketing and product teams already use, with the reason for each one attached.
Good CX analytics is boring in the right places. The identity graph is documented, consent state is queryable, and every segment can be traced back to the signals that produced it. When a retention model recommends an action, the person acting on it can see why, and the customer's own preferences still hold.
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