From experimentation noise → defensible strategy.
Two featured engagements: a subscription consumer platform that needed more out of the data they already had, and a global subscription media platform turning a 12-month growth analysis into an operating system.
Adasight × subscription consumer platform.
Data Analytics & Insight Enablement for Experimentation · March–April 2026
Mature subscription platform with a steady A/B cadence. Tools were in place — event tracking, product analytics, warehouse, BI. They didn't need new infrastructure. They needed more out of the data they already had.
- →20+ hypotheses, no clear way to sequence them
- →Tests prioritised on intuition, not behaviour data
- →Junior analytics capacity bottlenecked every read-out
- →Some past "wins" suspected as false positives
- →Discovery & alignment with the experimentation lead
- →End-to-end funnel & pathway diagnostics
- →Behavioural segmentation by 60-day & 180-day value
- →Cross-funnel synthesis: source → behaviour → retention
- →2 structural drop-offs in the paywall flow, consistent across sources
- →Discount-exposed users convert higher but retain materially lower
- →3 priority segments with interpretable high-LTV behaviours
- →1 hidden high-LTV segment under-invested in by channel reporting
- →~⅓ of backlog targets metrics weakly tied to long-term outcomes
- →1 past "win" flagged as a likely false positive — re-test recommended
Outcomes & what we handed over.
- →Hypotheses now reference behavioural signatures, not generic assumptions
- →Junior analytics redeployed from deep-dives to experiment instrumentation
- →"Stopped arguing whether a metric is right — started arguing what to do about it."
- →Deep-Dive Insight Pack (funnels · cohorts · cross-funnel)
- →Priority Segment Map — 3 segments, behavioural signatures
- →Experimentation Roadmap — 7 tests, 3 waves, primary + guardrail metrics
- →Past-Experiment Re-read — 1 confirmed, 1 flagged for re-test
- →Strategy session + 8 weekly Insight Checkpoints
"A defensible experimentation strategy grounded in user behaviour and long-term growth impact — not intuition, not surface metrics."
Adasight × global subscription media platform.
Subscriber growth analytics · 12-month engagement · client under NDA
Phase 1 produced rigorous subscriber-base analysis across acquisition and retention. The work was sound — but it lived in decks. Leadership couldn't operate on it day-to-day, and the experimentation team had no shared measurement view to point experiments at.
- Industry
- Subscription media
- Engagement
- Analysis + Reporting
- Tier
- Tier 3
- Duration
- 12 months
- Stack
- BigQuery · Looker
- →Findings rigorous but not operable — no shared dashboard layer
- →No common measurement surface across product, marketing, revenue
- →Experimentation team running tests without a feedback loop
- →Reporting overhead consuming analyst capacity
- →Executive Scorecard for leadership · monthly cadence
- →Operational Lifecycle Dashboard for product & experimentation · weekly
- →KPIs operationalised — same definitions across teams
- →Detect → Analyze → Test loop sitting on top of the dashboards
From describing the subscriber base → deciding what to do about it.
- →Leadership operates on the same dashboard the experimentation team points tests at
- →Decision cycle measured in days, not weeks of bespoke pulls
- →Acquisition-quality and churn signals surface before they hit revenue
- →Hypothesis backlog refreshed monthly against fresh data, not memory
- →Executive Scorecard — subscriber health, retention curves, acquisition quality, lifecycle signal
- →Operational Lifecycle Dashboard — engagement bucket transitions, behavioural depth, growth-loop monitoring
- →Version-controlled BigQuery data models & documentation
- →Prioritised hypothesis backlog (M0–M1 onboarding, pricing step-ups, personalised win-back, product-attachment prompts)
- →Expert-led experimentation webinars + handover
"We first understand how subscribers behave across entry points and over time.
Then we turn those insights into decisions."
More work behind the scenes.
A snapshot of recent engagements where Adasight rebuilt the data layer behind the experimentation program.
- Analytics foundation
Wickey
Unified analytics foundation across product, marketing, and finance teams.
- Experimentation audit
Unravel
Statsig audit — surfaced misconfigured experiments and standardised guardrail metrics.
- Conversion · A/B testing
HealthPlans
Sign-up flow A/B testing program — sequenced tests on the highest-leverage drop-offs.
- Revenue lift+15% revenue
Notarize
A/B testing + AI workflows lifted revenue measurably while reducing analyst load.
- Retention · Acquisition
Tonic
Retention and acquisition insights tied to LTV — reframed channel investment.
- Subscription growth2× subscription revenue
Magnet Forensic
Rebuilt the data layer behind their product, marketing and experimentation teams
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