1h ago · 4 min de lecture
PIN-UP Partners Introduces Prediction Postbacks for Meta Affiliates
PIN-UP Partners’ new feature sends an 18-month player-value forecast after the first deposit, giving eligible Meta campaigns an additional optimisation signal.

PIN-UP Partners has announced Prediction Postbacks, a feature designed to help affiliates using Meta optimise advertising around predicted player value rather than first-deposit volume alone.
According to the company, the forecast is generated on day six after a player’s first deposit, using activity from the preceding five days. It estimates the revenue that player could generate over 18 months.
Forecast Supplements the Initial Conversion
The first-deposit event is sent to Meta when it occurs. The predicted lifetime value, or pLTV, follows later and is associated with that original conversion.
PIN-UP Partners says the integration uses Meta’s Conversions API and an AppendValue event to deliver the delayed forecast. The additional signal is intended to help Meta identify users with higher expected long-term value.
The forecast remains an estimate, rather than realised revenue. The announcement does not provide independently verified results showing an improvement in acquisition costs or returns.
Eligibility Requires Consistent Conversion Volume
The requirements outlined for the feature include website traffic and at least 100 Meta-attributed conversions in each of four consecutive weeks. Reaching 400 conversions across the period is therefore insufficient if an individual week falls below the threshold.
The supplied requirements also call for at least five distinct positive prediction values, with the highest at least three times the lowest. The described pLTV setup does not cover app campaigns.
Around two weeks should also be allowed for initial learning. That period is an expected calibration window, rather than a guarantee of improved campaign performance.
For affiliates, the practical change is the addition of a value forecast to an existing acquisition event. Its usefulness will depend on the quality of the predictions, consistent data delivery and sufficient campaign volume.
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