← Volta Neobank

Volta — Retention & Cohort

Stack
Pythonpandas / NumPySciPy / StatsmodelsMatplotlib / Seaborn
Impact
  • M1 +10pp, M3 +9.2pp retention step-change
  • +€227K/yr incremental LTV

Volta — Retention & Cohort

Business Context

The third project in the measure loop: did the KYC fix’s effect hold over time? In-the-moment conversion is not enough — retention is required.

Hypothesis

The MDE-exceeding lift in KYC conversion persists as +retention at M1 and M3.

Data & Method

  • Cohort retention curves pre/post.
  • Welch t-test + Cohen’s d for the cohort difference.
  • Plan-specific LTV via ARPU × retention decomposition.

Insight

  • M1 retention: +10pp step-change.
  • M3 retention: +9.2pp — the effect does not fade.
  • LTV grows through retention decomposition, not only ARPU.

Impact

  • +€227K/yr incremental LTV from the KYC fix — the effect is validated over time, not only at the A/B moment.

Documentation

Other Volta subprojects