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Retention Metrics Every DTC Brand Should Track
Tarun Brar
March 09, 2026
Email Shakeup
Hey there, Tarun from Milkshake again🥤
Most ecommerce brands track the wrong numbers.
They obsess over:
❌ New customer acquisition
❌ First purchase conversion rate
❌ Open rates
❌ Follower counts
Meanwhile, they ignore the metrics that determine whether the business is actually healthy.
Retention metrics tell you whether you’re building a real brand…
Or just scaling on a shaky foundation.
Let’s dive in to the key retention metrics every 7-8 figure ecommerec brand should track👇
Why Retention Metrics Matter
Here’s the trap:
Acquisition feels exciting.
Retention feels boring.
But here’s reality:
A 5% increase in retention can increase profits by 25-95%
Repeat customers spend ~67% more than new customers
65% of revenue for established brands comes from repeat buyers
Retention metrics determine:
How profitable you actually are
How much you can spend on paid ads
Whether growth is sustainable
Let’s break down the key ones every ecommerce operator should know.
1. Customer Lifetime Value
Definition:
The total revenue a customer generates over their entire lifetime with your brand.
How to calculate:
LTV = AOV Ă— Purchase Frequency Ă— Average Customer Lifespan
Example:
$75 AOV Ă— 4 purchases per year Ă— 3 years = $900 LTV
Why it matters:
Determines how much you can afford to spend on acquisition
Guides budget allocation
Reveals which customer segments are most valuable
Predicts future revenue
If you don’t know your LTV, you’re guessing your CAC ceiling.
2. Repeat Purchase Rate (RPR)
Definition:
The percentage of customers who make more than one purchase.
How to calculate:
RPR = (Customers with 2+ purchases Ă· Total customers) Ă— 100
Example:
200 repeat customers Ă· 1,000 total customers = 20% RPR
Why it matters:
Direct indicator of product-market fit
Reflects customer experience quality
Repeat customers spend ~67% more
Retention is cheaper than acquisition
Low RPR often means:
Weak post-purchase flow
Poor onboarding
Low product stickiness
3. Average Order Value (AOV)
Definition:
The average amount spent per transaction.
How to calculate:
AOV = Total revenue Ă· Number of orders
Example:
$50,000 Ă· 800 orders = $62.50 AOV
Why it matters:
Higher AOV improves margin
Justifies higher CAC
Improves shipping efficiency
Increases revenue without more customers
Retention marketing should actively increase AOV via:
Bundles
Cross-sells
Subscriptions
Tiered incentives
Definition:
The average number of days between purchases.
How to calculate:
Time Between Orders = Total days between purchases Ă· Number of repeat customers
Example:
Customer A: 60 days
Customer B: 30 days
TBO = (60 + 30) Ă· 2 = 45 days
Why it matters:
Identifies at-risk customers
Helps time replenishment campaigns
Predicts churn
Improves purchase frequency
If your average TBO is 45 days…
You should be emailing around day 35-40.
Retention is all about timing.
5. Cohort Analysis
Definition:
Tracking groups of customers who purchased in the same month to measure behavior over time.
Example:
January customers: How many purchased again in Feb, March, April?
February customers: Same analysis.
Why it matters:
Shows whether retention is improving
Identifies strong vs weak acquisition months
Measures customer quality
Reveals impact of pricing or offer changes
If one month’s cohort underperforms…
Look at what changed:
Discount depth
Paid traffic source
Product mix
Cohorts expose quality problems.
Bottom Line
Acquisition grows revenue. Retention grows profit.
If you’re only tracking:
ROAS
Conversion rate
Campaign revenue
You’re seeing surface-level performance.
Retention metrics tell you:
Whether customers stay
Whether they buy again
Whether they increase in value
Whether your growth is durable
See you in the next one,
Tarun
PS: If you’re an ecommerce brand making over 100K/month and you want a free in-depth Email Marketing Audit, book a call with me personally here.