Tool comparison
Kampalo vs Supermetrics
Supermetrics is a marketing data pipeline. Kampalo is not. If your team’s destination is Looker Studio or BigQuery, stay with a connector. If the destination is “decide Google vs Meta this week,” use a product dashboard.
| Kampalo | Supermetrics | |
|---|---|---|
| Job | See Google vs Meta and ask Kai what to scale | Extract and clean marketing data into a destination you already own |
| Interface | Kampalo dashboards, trends, reports, Kai chat | Sheets, Looker Studio, Power BI, warehouses, Claude |
| Sources | Google Ads, Meta, GA4, Search Console, organic Meta | 100+ marketing sources into many destinations |
| AI | Kai, grounded in synced Kampalo stats | Connect data to Claude and other AI tools |
| Who maintains it | Operators; no report builder required | Analysts who already own the BI layer |
When to keep Supermetrics
Keep Supermetrics when the requirement is “every source, our warehouse, our model.” That includes finance joins, custom Looker builds, and feeding Claude from a governed extract. Kampalo does not replace that pipeline.
When Kampalo is enough
Use Kampalo when paid search and social are the decision, you do not want to maintain a Looker report, and you want Kai to rank campaigns from the same snapshot the UI shows. Developer teams can still attach MCP to that snapshot.
FAQ
Is Kampalo a Supermetrics alternative?
Only for a narrower job. Supermetrics moves marketing data into Sheets, Looker Studio, and warehouses. Kampalo is a product dashboard and Kai—not a general connector into your BI stack.
Can I use Kampalo and Supermetrics together?
Yes. Keep Supermetrics if analysts already live in Looker or BigQuery. Use Kampalo when operators want Google vs Meta in one UI and want to ask Kai without building a report first.