Repeat Purchase Rate (RPR) tells you how many customers come back. But to understand customer value fully, you also need to know how often they buy.
That’s the role of Purchase Frequency.
What Is Purchase Frequency?
Purchase Frequency measures the average number of orders per customer within a given timeframe (usually 12 months).
The formula:
Purchase Frequency = Total Number of Orders / Number of Unique Customers
Example:
Total Orders in a Year = 15,000
Unique Customers = 5,000
Purchase Frequency = 15,000 / 5,000 = 3
👉 On average, each customer purchased three times that year.
Why Purchase Frequency Matters
1. It’s a Core Driver of LTV
LTV = AOV × Frequency × Margin. Even small gains in frequency compound long-term value.
2. It Reveals Buying Patterns
Some businesses rely on high frequency with low AOV (coffee, supplements). Others rely on low frequency with high AOV (appliances, furniture). Knowing your pattern informs strategy.
3. It Guides Retention Efforts
If frequency is low, invest in replenishment campaigns, loyalty programs, or subscriptions. If frequency is high, focus on raising AOV.
4. It Improves Forecasting
Purchase frequency curves help model future cash flow and set realistic growth expectations.
Cohort-Based Frequency
Like LTV and RPR, frequency is best tracked in cohorts.
Example: A cohort of 1,000 customers acquired in January.
| Month | Total Orders from Cohort | Average Orders per Customer (Cumulative) |
|---|---|---|
| 1 | 1,000 | 1.0 |
| 3 | 1,400 | 1.4 |
| 6 | 1,900 | 1.9 |
| 12 | 2,700 | 2.7 |
👉 Insight: By month 12, the average customer purchased 2.7 times. Most of the growth came in the first six months.
Why Timing Matters
Not all frequency is created equal.
A second order within 30 days accelerates payback and cash flow.
A second order after 12 months technically boosts frequency, but it doesn’t help unit economics in the short run.
👉 That’s why many operators model frequency curves over time, not just annual averages.
Benchmarks: What’s a “Good” Frequency?
Benchmarks vary by category:
Consumables (coffee, supplements, skincare): 4–8 purchases/year is common.
Soft goods (apparel, footwear): 2–4 purchases/year.
Durables (electronics, furniture): 1–2 purchases/year, but with high AOV.
The key is to benchmark against your own baseline and track improvements by cohort.
How to Improve Purchase Frequency
1. Replenishment Campaigns
Email/SMS reminders timed to expected depletion (e.g., skincare after 30 days).
“You’re running low” prompts tied to consumption cycles.
2. Subscriptions
Auto-ship options for products customers regularly use.
Discounts or perks for subscribing.
3. Seasonal or Product Launches
New SKUs keep customers engaged and buying more often.
Limited editions or seasonal drops drive urgency.
4. Loyalty Programs
Rewards for multiple purchases within a period.
Status tiers that encourage more frequent engagement.
5. Personalized Recommendations
Cross-sells and upsells tailored to past purchases.
Dynamic onsite offers to encourage the next order.
Common Pitfalls
1. Using Blended Averages
Overall purchase frequency can hide differences between cohorts or channels. Always break it down.
2. Ignoring Time Dimension
Two customers may both buy 3 times/year. If one buys every 2 months and the other buys 3 times in December, the economics are very different.
3. Over-Reliance on Discounts
Boosting frequency with deep promotions may harm margins. Balance frequency with profitability.
4. Confusing Frequency with Loyalty
High frequency doesn’t always equal long-term loyalty — sometimes it’s just driven by heavy discounting or short-term offers.
Case Study: Skincare vs. Apparel Brand
Skincare Brand:
Avg. AOV = $45
Annual Frequency = 6
12-month Revenue per Customer = $270
Gross Margin = 65%
12-month Gross Profit LTV = $175.50
Apparel Brand:
Avg. AOV = $80
Annual Frequency = 2.2
12-month Revenue per Customer = $176
Gross Margin = 55%
12-month Gross Profit LTV = $96.80
👉 Insight:
On a revenue basis, skincare customers generate more value ($270 vs. $176).
On a gross profit basis, the difference is even sharper ($175 vs. $97).
Even though apparel has higher AOV, skincare’s stronger purchase frequency and margins deliver a much higher LTV.
The Bottom Line
RPR shows how many customers come back.
Purchase Frequency shows how often they buy.
Together, they explain the engine behind LTV.
📌 Key Takeaway
Purchase Frequency is the heartbeat of customer value. Track it by cohort, focus on timing, and use retention strategies to nudge customers toward more frequent engagement.
👉 Next Up:
Frequency tells you how often customers buy. But each order’s size matters too. That’s where Average Order Value (AOV) comes in — the simplest lever in the customer value stack, and one of the fastest ways to boost payback and LTV.
