Skill Claude

Ecommerce Sales & Conversion Report

A Claude skill that connects to your Databox workspace via MCP and writes a structured ecommerce performance report from live Shopify and GA4 data. Covers revenue, order volume, top-selling products, average order value, abandoned checkouts, customer acquisition, and session-to-purchase conversion. Output: a complete store performance brief in under 90 seconds, ready to share before any weekly or monthly review.

  • ~5 min setup
  • Runs on demand
  • Claude + Databox MCP
Ecommerce Sales & Conversion Report

What it does

Shopify tells you what sold. GA4 tells you how visitors behaved before they bought – or why they didn’t. Running both separately means two logins, two exports, and a manual merge before you can see the full picture. Most Shopify store operators skip the GA4 half entirely and end up reviewing revenue without understanding the conversion mechanics behind it.

This skill reads both sources from your Databox workspace and produces a single structured report. It surfaces total sales, net sales, orders, and AOV from Shopify. It adds conversion rate and bounce rate from GA4. It ranks your top products by revenue and orders. It flags abandoned checkouts as a friction signal. It shows the new vs returning customer split so you can tell whether growth is coming from acquisition or retention. And it highlights billing country distribution so geography stops being a blind spot.

The output is formatted for a weekly or monthly ecommerce review – concise enough to read in five minutes, specific enough to act on.

Who it's for

  • Heads of growth and operators
    You run the numbers on Monday. This replaces the 20 minutes of tab-switching with a brief that is ready before your standup.
  • Agency analysts
    Run it for each client. Get a consistent read on every account in the time it used to take to review one.
  • Founders doing their own analytics
    You know what your metrics are. This tells you what they mean and what to do about it.

What's in the package

Security scanned Reviewed by Databox
  • ecommerce-report-setup-guide.pdf MCP connection steps, configuration options, example run
  • ecommerce-report.skill Install file for Claude

What you need to run this

Claude

Free to download. Required to install and run skills.

Databox account

The skill connects to your data in Databox. The free plan includes all integrations you need to use this skill.

MCP connection

Connector inside your Claude. Takes less than a minute to set up. Full instructions in the setup guide included in the download.

Don't have Databox yet?

Free to start. Connect your first integration in minutes — no credit card required.

How to use it

  • Download the skill
    Click Get it free above. The skill file downloads to your machine.
  • Install in Claude
    Open Claude Desktop → Settings → Skills → Install from file. Select the downloaded file.
  • Connect Databox
    The skill prompts you to connect your Databox account using the connector. This takes less than a minute, and you'll need a free Databox account.
  • Trigger on demand
    Type the trigger phrase in Claude — listed in the setup guide. The skill runs against your live Databox data and returns the output.

Connect any AI tool to your Databox data with Databox MCP.

Databox MCP is the bridge between your live metrics and any AI — Claude, ChatGPT, Cursor, or any client that speaks MCP. One auth, every workspace, no scraping.

Databox MCP hub connected to OpenAI, Claude, Cursor and n8n — one MCP integration links every AI tool to your live data
Built on Databox

No AI hallucinations. Analysis built on a real context layer.

Ask a generic AI to analyse your business performance and it will give you a confident answer. It will also be working from assumptions.

Generic AI doesn't know how your business defines a qualified lead, what your MRR calculation includes, or how you attribute revenue. It fills those gaps with the most plausible interpretation it can find — which is different from the correct one.

The products here run on Databox's data layer — if you choose so. Your metric definitions, your reporting logic, and your live numbers are what the AI reads, pulled straight through Databox MCP instead of uploaded by hand. That's the difference between an output you can share with your team and one you have to verify before you trust it.

Example output

Common questions

Do I need a Databox account to use this skill?

Yes, ideally — and here's why it matters. Point a generic AI at a raw data export and it has to guess what your numbers mean: which conversions count, how you define an engaged session, what a "normal" week looks like. It fills those gaps with the most plausible interpretation it can find, which is often not the correct one. The skill avoids that by reading your data live from Databox through MCP, where your metrics are already standardized — one consistent definition for sessions, engagement, and conversions across your setup. The AI reads what's actually true for your business instead of inferring it, so the report is one you can trust rather than verify. You can technically run it against data you've pasted in by hand, but you lose that context layer and the output is only as reliable as the export. If you don't have an account or data source connected yet, the skill walks you through the setup.

Can I use this with the free Databox plan?

Yes — the free Databox plan includes the integration this skill needs, so you can run it at no cost. The skill itself is also free to download.

Does this use live data from my connected source?

Yes — every run reads your live data directly from Databox through the MCP connection. The report reflects your current data at the moment you run it, not a cached or uploaded snapshot.

Do I need to export data manually?

No — there are no CSV exports and no copy-paste. The skill pulls your data straight from Databox through MCP each time it runs, so the report is always built from your live source.

Can agencies run this for multiple clients?

Yes — run it against each client's data connected in Databox, one account at a time, and you get the same structured weekly brief for every client. It's built to give a consistent report you can take to each client review.

Can I customize the report?

Yes. Before it runs, the skill asks a few onboarding questions — what you want to measure, the time frame, and any context that matters for the analysis — so the report is shaped to your goals from the start. After a run, you can give it feedback to adjust focus, sections, or anomaly thresholds, and reinstall the updated version so your changes carry into future runs.

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