Pavo

Case studies

Proof from production

How teams use Pavo to move the metrics that matter in production, at scale.

  1. GrowthPavo built a pLTV model for Seekho to improve M3 retention by +8.23%SeekhoRead the case study
    +8.23%
    M3 retention lift · offline eval
    $5.6M
    Est. annualized upside
  2. NotificationsHow category-level personalization lifted notification CTR +43% and doubled second-video startsSeekhoRead the case study
    +43%
    Notification CTR
    +94%
    Second-video initiation
  3. RecommendationsHow Pavo’s Segment-Adaptive Personalization Lifted Time Spent by 4.5%SeekhoRead the case study
    +4.5%
    Platform-wide time spent
    +9.5%
    Strongest feed-watchtime slice
  4. EvaluationBetter offline tests lead to more production winsA high-traffic consumer platformRead the case study
    −0.4 → +0.8
    Offline–online rank correlation
    14 → 3
    Candidates requiring live traffic
  5. RecommendationsOne improvement loop lifted Shortfree Autoplay activation by +3.1pp, live in productionDashverseRead the case study
    +3.1pp
    Autoplay activation · live in production
    +2.6→+3.1pp
    Offline prediction vs live result