Store Analytics & Data
What visitors do, what sells, and where the money leaks.
Most sellers have more data than they read. The analytics stack that helps is the one narrow enough to answer a question you actually asked — which listing page loses people at the size chart, which ad set brings buyers rather than browsers — and small enough that nobody has to maintain a pipeline to keep it running. The expensive failure in this category is buying a warehouse-grade tool for a shop doing a few hundred orders a month, then paying a consultant to keep the connectors alive. Start with the free or cheap tier, and only move up when a specific question cannot be answered.
Airtable
Spreadsheet interface over a real relational database.
dbt
SQL transformations with version control, tests, and docs.
Grafana
Dashboards over any data source, open source.
Hex
Collaborative notebooks that publish as interactive data apps.
Looker Studio
Free dashboards on top of Google's data sources.
Metabase
Ask questions of your database without writing SQL.
Mixpanel
Event-level product analytics for understanding funnels.
NocoDB
A spreadsheet interface on top of a real SQL database.
Plausible
Analytics without cookies, so no consent banner.
PostHog
Product analytics, session replay, and feature flags in one SDK.
Power BI
Microsoft's BI platform, bundled with the rest of the stack.
Retool
Build internal tools from components and queries.
Umami
Self-hosted, cookie-free analytics in a single container.
No tools in this category match that filter.
Guides in Store Analytics & Data
All guides →What "Free" Analytics Actually Costs You
GA4 has no licence fee. It has a consent banner, a data retention limit, a learning curve, and a configuration tax that most sites pay forever.
Read →Building an Analytics Stack That Does Not Need a Cookie Banner
The banner exists because your analytics tool sets cookies. Switching tools is less work than building a consent flow, and it produces cleaner data.
Read →