Marketing source ingestion
GA4, Search Console, Google Ads, Meta, and CRM exports pulled on schedule into stores you own, with retry and backfill logic.
Services / Operations
Every report, dashboard, and AI model sits on top of data plumbing — and most marketing plumbing is spreadsheet exports and connectors that break silently. This is the plumbing itself: reliable ingestion, normalization, and warehousing for your marketing data. Here’s what it looks like, and what breaks without it.
What's included
IncludedPipelines should be uneventful. We engineer them that way.
GA4, Search Console, Google Ads, Meta, and CRM exports pulled on schedule into stores you own, with retry and backfill logic.
Raw, cleaned, and analytics-ready layers — normalized, deduplicated, documented, and tested. What each metric means for decisions is defined one layer up, in your intelligence architecture.
BigQuery-centered storage designed for cost control and query speed at your scale — data you own, not rent trapped in a vendor.
Freshness, volume, and schema checks built into every pipeline so breakage is caught at the source. Full measurement QA is its own discipline: observability.
How it works
We start with your most painful report and expand from proven patterns.
Every source, its quirks, and its failure modes get documented.
Pipelines ship with tests, monitoring, and runbooks from day one.
Backfills, schema evolution, and cost controls make the system production-grade.
Before you build.
BigQuery by default, serverless, Google-native, and cost-effective at most scales. We adapt if you have an existing warehouse.
Especially those. Some of the highest-ROI pipelines start as 'the spreadsheet Karen updates every Friday.'
Everything downstream. Dashboards go stale, connectors fail silently, and decisions get made on last month’s export. Pipelines don’t create insight — they stop insight from rotting.
We can run it as a managed service or hand it over with documentation and training, your call.
Make the next move yours.
60 questions · 10 infrastructure domains · 12–15 minutes · 0–100 score with prioritized recommendations. Next: observability and intelligence architecture.