Shopify retention and CRM technology stack
Observed Shopify storefront counts for lifecycle marketing, retention and customer messaging technologies.
Observed in the StoreRadar aggregate snapshot on September 7, 2026. This is a storefront detection signal, not a verified vendor account, subscription, buying intent or revenue claim.
What this dataset answers
Which shopify retention and crm technologies should an ecommerce software team prospect. The comparison is useful when an app team, agency or ecommerce SaaS seller needs a focused cohort before prospecting or message testing.
Observed technology comparison
| Technology | Observed storefronts | Use in a measured test |
|---|---|---|
| Klaviyo | 52,293 | Scale cell |
| Omnisend | 7,556 | Comparison cell |
| Privy | 5,549 | Comparison cell |
| Mailchimp | 2,347 | Comparison cell |
| Postscript | 2,322 | Comparison cell |
| Rivo | 2,060 | Comparison cell |
| SMSBump | 1,241 | Comparison cell |
| Attentive | 1,161 | Comparison cell |
The largest observed footprint is the scale cell; the remaining technologies are comparison cells. Counts describe the snapshot only and do not measure product quality or intent.
How to use it
- Start with Klaviyo as the broadest observable stack signal in this dataset.
- Use one narrower technology as a comparison cell and keep the offer, sample size and CTA constant.
- Compare qualified sample requests and paid outcomes before expanding the cohort.
Method and limits
StoreRadar identifies publicly observable technology markers on Shopify storefronts and aggregates them into a versioned snapshot. These counts are storefront detection signals only: they do not identify a vendor customer, subscription, buyer, revenue amount, or buying intent.
How to cite this dataset
Use the canonical URL and observation date so readers can check the exact public table: StoreRadar, “Shopify retention and CRM technology stack”, aggregate snapshot observed September 7, 2026, https://storeradar.co/datasets/shopify-retention-crm-stack.
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