Contextflo Blog

How Shopify agencies track performance across all client stores

Stop switching between Shopify admins. Sync all stores to one warehouse, connect Contextflo, and benchmark across your entire portfolio.

May 15, 20253 min readVivek Sah

You run a Shopify agency. Each client has their own store, their own data, their own dashboards. Comparing performance across stores means logging into each admin, pulling reports, and normalizing everything in a spreadsheet. There's a better way.

Shopify multi-store analytics setup

The problem

Shopify gives you great analytics for one store. But agencies need to see the full picture: which client has the worst cart abandonment? How does AOV compare across your portfolio? Which stores are trending up and which need attention?

Getting these answers today means switching between store admins, exporting CSVs, and building comparison spreadsheets. That takes hours every week and the data is stale by the time you finish.

The setup

1All Shopify stores → Airbyte or Fivetran
2Airbyte/Fivetran → BigQuery or Snowflake (one schema per store)
3Warehouse → Contextflo (connect in 10 minutes)
4Contextflo → Claude (ask questions across all stores)

What you can now ask

“Which client has the highest cart abandonment rate this month?”

“Compare AOV trends across all stores for the last 6 months.”

“Which stores had the biggest revenue drop week over week?”

“What's the average refund rate across the portfolio, and which stores are above it?”

The agency advantage

Cross-store benchmarking is your unfair advantage. When a client asks “is our conversion rate good?” you can answer with real portfolio data, not industry averages from a blog post. That's the kind of insight that retains clients.