Why would a big state buy less than expected?

Common reasons are slow or costly shipping, weather or season, local competitors, or ads that rarely reach that region. The data shows the gap. Checking these reasons tells you whether it can be fixed.

Where do I get population data?

Public census figures by state or region work fine. Claude can look them up with web search or you can supply a table. You only need shares, not exact counts.

How do I measure a regional test?

Compare orders from the tested region with the same period last year, or with a similar region you did not change. That gives a fair baseline instead of claiming the whole lift.

Will this work with other assistants?

Yes. Any assistant that can read your orders and ad delivery data, including ChatGPT, Grok or Muse, can run this prompt from a connection or exported files.

All playbooks

Get more customers · Play

Find regions buying below their share

Some big states may buy far less from you than their population says they should.

Some large states or regions may buy far less from you than their population suggests. Connect Shopify and Meta Ads, ask Claude to compare each region's share of orders with its share of population, and check whether your ads reach those regions. Fix delivery gaps first, then test a regional angle on a capped budget.

1
Connect
- Shopify
- Meta Ads
2
Ask
Break down my Shopify orders for the last 12 months by state (or region). Compare each one's share of orders with its share of the population. Then check Meta delivery by region. Which large regions buy well below their share, and are my ads even reaching them?
Paste this into Claude, ChatGPT, Codex or Cursor.
3
Act
Fix delivery first. Then test a regional angle on a capped budget.

What it tends to findExample

Three large states bought well below their population share.

Watch out

Shipping time and weather explain some gaps. Check those before spending.

Step by step

01Connect Shopify and Meta Ads read-only through a Claude connector or MCP server, or export orders by region and ad delivery reports and upload them.
02Ask the playbook prompt to compare order share with population share by region and check ad delivery.
03Check shipping times and weather first. They explain some gaps and spending will not fix them.
04Fix delivery gaps, then test a regional angle on a capped budget with a review date.
05Compare orders from that region with last year or with a similar region you left alone, and re-run twice a year.

Questions

Run these next

Every number on these pages is an illustrative example, not a result from a named store. Read-only access is enough for every check; make any change yourself.

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