On this page
Retention
Retention
Retention is the share of customers a brand keeps over a period — the demand-side engine that the run-103→114 unit-economics cluster (CLV, payback, LTV:CAC, subscription) all turn on, and the positive mirror of Churn Rate. Sources treat it as the highest-leverage lever in DTC: because repeat customers are cheaper to sell to and spend more, small retention gains compound into outsized profit. This page records how retention and repeat-purchase rate are measured, what benchmarks sources cite by vertical, and what they report drives it.
Firewall: every claim is what a source reports. See
../../CONTEXT.mdRule 1. This is a web-only run — the Reddit MCP was not connected and the YouTube transcript actor (Apify) was unavailable, so there is no practitioner counter-narrative; benchmarks trace to vendors (MobiLoud, Shopify, Bluecore, Eightx) and tier-1 consultancies (McKinsey 2021, Deloitte 2025), none independently audited. Canonical academic anchors (Bain, HBR) appear only second-hand via vendor citations.
How it is measured
Three related metrics recur (Shopify, MobiLoud, 2026):
- Retention rate = ((Customers at end − New acquired) / Customers at start) × 100.
- Repeat customer rate = (customers who purchased more than once / total customers) × 100, usually over a 12-month window.
- For non-subscription stores, retention is read off cohorts — group by first-purchase date and track reorder rate over a window of 2× the average repeat-purchase timeline (Shopify, 2022-10-21). See Cohort Analysis.
The measurement window is decisive, and the source of a major contradiction (below): widening or narrowing it materially changes the "average" repeat rate.
Benchmarks (as-of 2026-06-27)
Volatile and vendor-aggregated — treat as directional.
Headline
- Average repeat customer rate ~25–30%; Shopify stores specifically ~27% (MobiLoud, 2026-03-30).
- ~31% average 12-month DTC retention; average store loses ~70–77% of customers yearly; top brands reach 45–55% (stat roundups via search, low confidence).
- "The second purchase is the hardest" — ~27% chance of a return after the first purchase, jumping to 54%+ for a third after a second (MobiLoud, 2026-03-30).
Average repeat customer rate. MobiLoud/Shopify ~25–30% (Shopify ~27%) [mobiloud.com] VS Bluecore's 100+-retailer study at 16.5% [same page citing GlobeNewswire 2024]. Reconciled by the source as a measurement-window difference, but the gap is large — present both, not a single average.
By vertical (MobiLoud table, sourced to Bluecore + Opensend; underlying data 2024)
| Category | Repeat rate |
|---|---|
| Grocery | 40%+ |
| Pet | 30–40%+ |
| Health / Supplements | ~29% |
| Fashion / Apparel | 20–26% |
| Beauty | 21–26% |
| Sporting goods | ~21% |
| Electronics | ~18% |
| Home / Furniture | ~15% |
| Luxury / Jewelry | ~10% |
- Bluecore: only ~9.9% of first-time luxury/jewelry customers bought again within a year; home/furniture 14.7% (MobiLoud citing Bluecore).
- Category extremes show retention is partly structural: Chewy ~90% of revenue from existing customers (~78% of sales via Autoship); Wayfair ~80% of orders from repeat customers (MobiLoud citing investor relations).
Why it matters — the economics
- Bain & Company: a 5% increase in retention produces a >25% increase in profit (range cited 25–95%) (via Shopify/MobiLoud — historical/canonical, stale-risk).
- Acquiring a new customer costs 5–25× more than retaining one; probability of selling to an existing customer 60–70% vs 5–20% for a new prospect (MobiLoud citing HBR 2014 — historical).
- Repeat customers spend ~67–69% more per order; ~65% of revenue comes from existing customers; the top 5% of customers generate ~35% of revenue; a store at 40% repeat rate makes ~50% more revenue than one at 10% (MobiLoud citing BIA Advisory/Bluecore/Smile.io, 2026-03-30, med).
- Eightx frames retention as moving valuation 3–5× more than CAC reductions — see Churn Rate and Customer Lifetime Value (CLV).
What sources report drives retention
From MobiLoud (2026-03-30), each claim citing a named source:
- Product quality — 57% cite it as the top loyalty driver (Semrush).
- Customer service — poor service drove 45% to switch brands (Semrush).
- Personalisation — makes customers ~60% more likely to repeat (Semrush). See Personalisation.
- Loyalty programs — 83% say membership influences repurchase; tiered programs deliver 1.8× higher ROI (Antavo). McKinsey adds top programs lift point-redeemer revenue 15–25% annually, but ~two-thirds of established programs fail to deliver value (McKinsey, 2021-10-12 — stale-risk).
- Shipping & returns — free shipping +~20% repeat rate, easy returns +12% (Opensend). Links to Post-Purchase Experience.
- Deloitte 2025: price/value/quality remain top loyalty drivers, loyalty programs close behind; customers with positive past experiences spend 140% more than those with negative ones (Deloitte, 2025, med, not directly fetched).
[!unverified] MobiLoud also claims brands with mobile apps see up to 50% higher repeat-purchase rates and 2.8–5× LTV vs mobile web. MobiLoud builds mobile apps — a clear vendor self-interest on this specific claim; recorded but not treated as established.
Key terms
| Term | Meaning |
|---|---|
| Retention rate | % of customers kept over a period |
| Repeat customer rate | % of customers who purchased more than once |
| Measurement window | The period over which retention is read — changes the "average" materially |
| Second-purchase problem | The largest drop-off is between first and second order |
| Keep rate | (Subscription/curation) % of delivered items kept — a leading retention indicator |
Open questions / frontier
- Churn Rate — the inverse, now its own page.
- Cohort Analysis — how retention is actually measured over time, still dangling.
- Loyalty Programs — repeatedly cited as a driver, no page yet.
- A UK/Europe-specific retention/repeat benchmark — IMRG gates it behind paid reports; all hard data is US-centric (relevant to UNIQLO Europe).
- A practitioner counter-narrative and academic anchor — both missing this run (Reddit/YouTube down; no peer-reviewed source surfaced).