Startups
Instrumentation, warehouse, and dashboard stack that gives founders a single source of truth for acquisition, activation, retention, and revenue — built in two to three weeks.
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Industry overview
Data-driven growth analytics is the practice of instrumenting every product interaction, centralising event data in a queryable warehouse, and building dashboards that connect user behaviour directly to business outcomes.
At a glance
Most early-stage products have fragmented analytics: some events in Mixpanel, revenue in Stripe, support tickets in Intercom, and no way to connect them. Founders make decisions from whichever dashboard they happen to open. We build a unified analytics stack: a single event schema, a warehouse that ingests from all sources, and dashboards that answer the questions that actually drive product decisions — activation rate by acquisition channel, feature usage by cohort, revenue retention by plan.
We design a structured event taxonomy, instrument your frontend and backend using Segment or a custom event SDK, and pipe everything into BigQuery or Redshift. On top of the warehouse we build dbt transformation models and a Metabase or Superset dashboard layer with the five to eight views your team checks weekly. We also wire funnel alerts: when activation drops below threshold, a Slack message fires before anyone notices manually.
Key capabilities
Engagements are scoped to your business context — these are the core capabilities we bring to startups clients.
Structured event taxonomy design covering all product surfaces
Segment or custom SDK instrumentation for frontend and backend
Data warehouse setup in BigQuery or Redshift with raw and transformed layers
dbt transformation models for activation, retention, and revenue metrics
Metabase or Superset dashboards covering acquisition-to-revenue funnel
Automated threshold alerts for key metric drops delivered to Slack
Work with us
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