Reference

AI, measured data, and confidence

Know which Retensis outputs are observed, predicted, grounded, or deterministic.

LiveAll plans

Four data types

LabelMeaningExamples
MeasuredRead from a supported platform or stored observationViews, comments, subscribers, experiment metrics
PredictedEstimated by an AI modelRetention curve, virality, CTR tier
GroundedGenerated with external search or YouTube research contextTrends, gaps, plan sources
DeterministicRecomputed by application logicOpportunity weighting, comparison deltas, experiment winner

Responsible use

  • Treat predictions as hypotheses.
  • Prefer repeated patterns over one isolated score.
  • Use measured platform data to validate important decisions.
  • Review grounding sources when recency matters.
  • Keep brand, legal, medical, financial, and safety judgment with a qualified human.