See 60-day, 90-day, 12-month repeat rate — by channel and SKU.
Most D2C dashboards show 30-day repeat. The real economics live at 90-day and beyond. Fairview shows repeat rate by cohort, channel, and SKU — so retention decisions rest on real patterns.
M1/M3/M6/M12
repeat windows tracked
Channel × SKU
cohort breakdown
Weekly
refresh cadence
From stack to decision in minutes, not months.
Step 01
Connect Shopify + attribution
Shopify + ad platforms.
Step 02
Cohorts grouped automatically
By acquisition month, channel, and first-SKU.
Step 03
Repeat rate calculated
M1, M3, M6, M12 repeat per cohort.
Step 04
Patterns surface
Which SKUs drive repeat. Which channels produce repeat buyers. Which cohorts retain.
What this looks like in real operating life.
Example
SKU-A first-buy: 62% M3 repeat. SKU-B first-buy: 18% M3 repeat. Decision: push SKU-A as acquisition product.
Channel insight
Google-acquired customers: 48% M6 repeat. Meta-acquired: 22%. Budget reallocation follows.
Outcome pattern
LTV:CAC improvement of 20–40% within 90 days of optimizing acquisition SKU.
Native integrations for this use case.
E-commerce
- Shopify
- WooCommerce (planned)
Advertising
- Google Ads
- Meta Ads
Accounting
- QuickBooks
- Xero
Fairview product pieces behind this use case.
FAQ
Specific to Repeat Purchase Optimization.
How is repeat rate defined?
Percentage of customers who place a second order within each window (M1, M3, M6, M12) after first purchase.
Can I see repeat by category / SKU?
Yes — SKU-level repeat is live.
Does Fairview track subscription repeat separately?
Yes — subscription repeat is distinguished from one-time repeat.
What data do I need?
Shopify with order history.
What does it cost?
Starts at $149/mo. 14-day free trial, no credit card.
Other Fairview use cases.
Stop reporting. Start deciding.
10 minutes to connect. Repeat Purchase Optimization live by the end of the meeting.