Get Shopify Cohort Retention & LTV Curves into Claude (Without Shopify Plus)

Cohort retention is the single most important view in an e-commerce business — "of the customers we acquired in January, how many came back, and how much did they spend over the next twelve months?" Every serious operator wants to look at this. Almost none of them can, because Shopify's cohort report is gated behind Shopify Plus, and even there the view is narrower than what you actually need.

This post is about closing that gap by computing cohort retention from your order history and exposing it directly in Claude — no upgrade required.

The problem with Shopify Analytics on its own

Shopify's own analytics are improving, but the cohort view has three real limitations:

1. It's paywalled to Plus. Most of the cohort and acquisition reporting is locked behind Shopify Plus, which is a significant jump in cost. For a store doing £1–5m/year, that paywall is the wrong shape — you need the analysis to get to Plus, not after.
2. Even on Plus, the LTV curve isn't there. The cohort report shows monthly retention percentages, but the canonical view — cumulative LTV at month 1, 3, 6 and 12 per cohort — isn't a built-in screen. You can derive it manually from orders; you can't ask for it.
3. No cohort splits by first product. A customer whose first order is from your apparel category often has a wildly different lifetime value than a customer whose first order is from accessories. Shopify doesn't split cohorts that way — anywhere, on any plan.

So even Shopify Plus merchants end up with the same workflow as everyone else: export order history to a spreadsheet, build the pivot, refresh it manually every month, and never share it with the team because it's a fragile file on someone's laptop.

What Ask AI pulls in that Shopify Analytics doesn't

Ask AI Data Connector computes cohort and retention analytics directly from your order history and exposes it to Claude (and ChatGPT, Gemini, Perplexity) through a single connection:

Monthly acquisition cohorts

• Customer counts, repeat-purchase rate and aggregate revenue per cohort
• Works the same on any Shopify plan — Basic, Shopify, Advanced, or Plus

The canonical LTV curve

• Cumulative LTV at month 1, 3, 6 and 12 per cohort
• Immature cohorts return null for milestones they haven't reached yet, so you don't accidentally compare partial cohorts against full ones

Cohorts split by first product category

• "Do customers whose first purchase was X have higher year-1 LTV than customers whose first purchase was Y?" answerable as a single question
• This view doesn't exist in Shopify Analytics, regardless of plan

Repeat-purchase metrics

• Repeat-purchase rate, average days between purchases, average LTV across your full customer base
• Plus a new-vs-returning split by revenue, orders and AOV

Lapsed high-value customers

• A view that ranks customers by historical LTV and surfaces the ones who haven't ordered recently
• Ideal for targeted win-back — and per-store, so it works for Shopify Plus multi-store setups too

Why "cohort retention in Claude" is different from "cohort retention in a spreadsheet"

The point isn't to give you a static cohort grid. It's to make the cohort questions answerable as a conversation.

A few questions Claude can answer once your orders are connected:

• "What's the 6-month LTV for customers acquired in Q4 last year vs the same cohort the year before?"
• "Do customers whose first order was a sale item come back at a lower rate than full-price customers?"
• "Which acquisition cohort has the highest year-1 LTV in the last two years, and what was different about it?"
• "Show me the cohorts where 30-day repeat rate is above 20% and 90-day repeat rate is above 35%."
• "Which high-LTV customers from 2024 haven't placed an order in 90+ days?"

These are questions a static cohort grid hides — and questions that would otherwise take a spreadsheet rebuild every time you ask them slightly differently.

A note on what we don't try to do

Worth being straight about this: Ask AI exposes observed cohort behaviour — what actually happened in your order history. It doesn't currently produce predicted cohort behaviour (forecasted retention, modelled LTV, ML scoring per customer). For most operating decisions — finding the cohort that performed best, spotting the cohort that's regressing, identifying high-LTV customers to win back — observed data is what you want anyway, and observed data is what your accountant will believe.

How to connect Shopify

If you're not already connected:

1. Sign up for Ask AI Data Connector
2. Install the Shopify app from your store admin (or via the Shopify App Store)
3. Once installed, your orders, products and customers sync automatically
4. Go to API Keys, generate a key, and connect it to Claude

That's it. Your cohort and retention data is now queryable in plain English — and it works on whatever Shopify plan you're on today.

The bottom line

Cohort retention is the most important view in your business, and Shopify gates it behind Plus while leaving the LTV-curve and first-product-cohort splits off the menu entirely. Ask AI fills that gap by computing the canonical retention view from your order history and exposing it in Claude — so the analysis that justifies your next investment decision is a chat, not a spreadsheet.