2026 Shopper Identification Rate Benchmark
How 400 Shopify Brands Made 50% More Shoppers Reachable Through Existing Email Flows
Even the best Klaviyo flows can only reach shoppers your store can identify. See how identity resolution increased shopper identification from 9.03% to 13.56% across four high-value events, without rebuilding existing flows.
- 400
- Shopify brands
- 8
- industries
- 4
- high-value events
- 20
- pages
Flow conversion starts after identification
Most teams optimize what happens inside an email flow — the subject line, the delay, the discount. This benchmark measures how many shoppers make it into the flow at all.
- Shopper intent
- Identified profile
- Klaviyo / Omnisend event
- Existing email flow
- Recovered revenue
Almost no one measures the second step, and it limits everything after it.
The closer a shopper gets to buying, the more we recover
Identification rate for each event, drawn at real proportions. Added to Cart is where the biggest gap closes — from one shopper in four to two in five.
- Identified by native ESP tracking
- Recovered by Attribuly
- Still unidentified
Across all four events combined the rate goes from 9.03% to 13.56% — 50.1% more reachable shoppers. That average is weighted by browse volume, which is why the per-event view above matters more than the headline.
The +50.1% figure is growth relative to the shoppers native tracking already identified — not 50.1% of total site traffic. Absolute values are the average merchant over a normalized 30-day period.
What's inside
- 01
Benchmark your industry
See how identification and revenue opportunity vary across eight ecommerce categories.
- 02
Compare by store size
Understand how the reach gap changes across GMV bands, from under $1M to $12M and above.
- 03
Find the events that matter
Compare Product Viewed, Collection Viewed, Added to Cart and Checkout Started. The event with the biggest gap is rarely the one worth the most.
- 04
Estimate the revenue opportunity
See which missed events are most likely to translate into recoverable flow revenue.
From the report
Identification rate by event
The gap is not spread evenly. Checkout Started is already well identified. The browse events that trigger abandonment flows are where most shoppers are missed.
| Event | Native | With Attribuly | Lift |
|---|---|---|---|
| Product Viewed | 4.85% | 8.37% | +3.52pp |
| Collection Viewed | 9.85% | 14.10% | +4.26pp |
| Added to Cart | 24.73% | 39.76% | +15.02pp |
| Checkout Started | 46.07% | 53.12% | +7.05pp |
| All events | 9.03% | 13.56% | +4.53pp |
pp = percentage points. The report breaks the same table down by industry and by GMV band.
How the benchmark was built
Here is how the data was collected, so you can judge the numbers for yourself.
- 400 ecommerce merchants
- 8 standardized DTC industries
- 4 analyzed events
- Normalized 30-day reporting window
- Klaviyo and Omnisend as the ESP context
- Cleaned dataset with defined comparison rules
- Small cohorts should be read directionally
Your store-level benchmark
The report shows the market. Attribuly shows your store.
Install Attribuly free and collect seven days of data to see your actual identification gap, event-level reach, and recovery opportunity.
Your native identification rate
Missed shoppers by event
Additional shoppers your flows could reach
Estimated recovery revenue opportunity
See what your email flows are missing
Free Shopify installation. No theme-code changes.