Growth FullStack

Start by telling Growth FullStack what outcome you need—a single, privacy-safe view of spend, installs, and revenue—and it guides you through setup. Choose where data lands (your BigQuery, Snowflake, Redshift, or the managed store), then connect sources: MMPs like Adjust or AppsFlyer, SKAdNetwork postbacks, Apple Search Ads, Google and Meta, Unity/ironSource, internal events via API, and flat files over SFTP/HTTPS. Set refresh schedules and retention, preview the target schema, and add validation rules so broken fields never pollute your warehouse. Kick off a run and watch pipeline health, throughput, and error logs in real time.

Next, shape the data the way your team works. Normalize campaign, ad group, and creative naming; define a central catalog of apps, partners, and markets; and use record-linkage to deduplicate and merge metrics across sources. Configure precedence rules (e.g., SKAN over last-click) and map organic traffic explicitly. Create segments by geo, platform, channel, and creative theme with filters you can reuse. Apply transformations with version history, test changes safely, and roll back instantly if a release misbehaves. Enforce privacy by hashing device identifiers where required, honoring consent flags, and logging every access for audits—keeping you aligned with platform policies and regulations.

When you’re ready to analyze, build or import templates for cohort LTV, ROAS by day, retention, blended CAC, and creative performance. Slice by currency, store, country, and network. Publish dashboards in-app or push modeled tables to Looker, Tableau, or Power BI; export ad-hoc cuts to Google Sheets for quick collaboration. Schedule Slack/Email digests for daily pacing and weekly performance, set anomaly alerts on spend or conversion swings, and wire data-quality monitors to catch schema drift early. Share curated datasets with partners using secure file drops, or expose a clean API for downstream tools and internal apps without re-building extracts.

This workflow fits lean teams and scales with your org. Marketers can answer “where should budget move today?” in minutes with saved views and creative-level insights. Analysts get SQL-ready tables, notebooks, a searchable metadata catalog, and lineage to trace every metric to its source. Engineers manage pipelines as code with declarative configs, CI checks for transforms, secrets management, retries, and backfills. If you prefer guidance, use quick-start playbooks, sample mappings, and live enablement to ship in days, not months—then expand to new regions, apps, and brands without rework.