You will lead the growth workstream focused on the post-signup journey : onboarding, first-value, habit formation, and long‑term engagement. You’ll run a tight experiment program (A / B, holdouts, sequential rollouts), synthesize Userback feedback for qualitative depth, and partner with Engineering, Design, and Data to ship improvements that move the metrics.
What you’ll do
- Own the activation & retention strategy across the B2C funnel (signup → onboarding → first value → recurring value → winback).
- Run high‑velocity experiments : define hypotheses, success metrics, guardrails; design variants; coordinate builds; analyze results; document learnings.
- Instrument the journey with clear event taxonomy; ensure dashboards / funnels / cohorts are trustworthy and actionable.
- Translate Userback insights into action : triage, tag, and synthesize qualitative feedback; validate with quant; turn into clear problem statements and specs.
- Optimize onboarding & habit loops : progressive disclosure, checklists, templates, nudges, education, and lifecycle messaging.
- Reduce churn : identify drop‑off drivers; ship reactive and preventive retention tactics (e.g., in‑app prompts, save‑offers, reactivation flows).
- Partner cross‑functionally with Eng / Design / Data / Marketing / Support to deliver experiments and durable features end‑to‑end.
- Communicate openly : weekly growth reviews, experiment pipeline, post‑launch readouts, and roadmap updates.
Outcomes you’ll drive (KPIs)
Activation : +X% D1 / D7 activation; +X% onboarding completion; reduced time‑to‑first‑value.Retention : +X% W1 / W4 / M3 retention; −X% churn; +X% reactivation of dormant users.Experimentation : ≥X experiments / month with robust analysis and decisioning within ≤X days; shared learnings library.Quality of insight : 100% of priority features backed by a combination of Userback qualitative synthesis and quant evidence.Qualifications
4–8+ years PM experience with growth / PLG in a B2C product; a track record moving activation and retention via in‑product changes.Strong analytical toolkit (funnels, cohorts, retention curves, survivorship, power & sample size basics); comfortable with SQL / Excel.Hands‑on with modern analytics / experimentation stacks (e.g., Amplitude / Mixpanel / GA4 or equivalent).Experience operationalizing qualitative feedback (Userback or similar) into problem statements, hypotheses, and specs.Excellent product sense and UX instincts; crisp communication; bias to action and iteration.Nice to have
Mobile app growth (iOS / Android) and app store conversion / retention tactics.Pricing / packaging, trials / freemium, and paywall / plan upgrade experience.Personalization / targeting (rules‑based or ML‑assisted) for lifecycle and in‑product nudges.How you’ll work
Experiment operating model : hypothesis → design → build / flag → QA → launch → analyze → decide → document → scale / retire.Evidence standards : pre‑registered success metrics & guardrails; minimal detectable effect; power checks; counter‑metrics for UX / engagement.Backlog hygiene : ideas scored by impact × confidence × effort; weekly grooming; monthly prioritization tied to KPI gaps.Userback loop : tagging taxonomy, monthly synthesis reports, and “Voice of Customer” snapshots in growth reviews.#J-18808-Ljbffr