How Littledata Increased Checkout Started Event Capture by 205%
A multi-provider comparison with Future Kind and Pointblank Marketing
Introduction
Future Kind, a fast-growing vegan vitamins brand on Shopify, had been working with performance agency Pointblank Marketing for four months when a measurement gap became clear around the reliable capture of their highest-intent shoppers.
To evaluate performance, Pointblank ran a controlled comparison in which six tracking providers were implemented simultaneously under identical traffic conditions:
- Littledata
- Triple Whale (previous setup)
- Elevar
- Aimerce
- Shopify native
- Klaviyo native
Checkout Started Events
Checkout Started is Shopify’s highest intent behavioural event. If it is missed, abandonment flows cannot trigger and attribution breaks downstream.
| Provider | Checkout Sessions Captured | Capture Rate |
|---|---|---|
| Littledata | 1,748 | 95.6% |
| Shopify Native | 1,335 | 73% |
| Aimerce | 748 | 40.9% |
| Triple Whale | 572 | 31.3% |
Key Wins
+205%
Higher Checkout Started Capture vs Triple Whale
+31%
Higher Checkout Started Capture vs Shopify
+134%
Higher Checkout Started Capture vs Aimerce
Browse Abandonment Flows
Across 2,750 recorded Viewed Product events, Littledata captured 2,502 (~91%), the highest detection rate of all providers tested.
This stronger early-funnel visibility translated directly into the largest reachable Browse Abandonment audience & revenue.
With more consistent capture of shopper intent, lifecycle marketing operated on a more complete representation of customer behaviour, reinforcing the structural relationship between signal quality and downstream performance.
Checkout Abandonment Flows
Shopify’s native flows generated higher immediate revenue during the test period, but they reached a smaller audience.
Littledata captured checkout signals for 31% more high-intent shoppers, introducing 413 additional users into lifecycle sequences without increasing traffic.
When Shopify’s observed conversion rate is applied to this expanded audience, the structural impact becomes clear: signal coverage directly increases revenue potential.
Littledata + Klaviyo
Littledata captured checkout events for 35% more users than native triggers, introducing over 450 additional high-intent shoppers into lifecycle flows.
This expanded audience allowed more customers to enter browse, cart, and checkout abandonment sequences, increasing revenue potential.
Why Pointblank Recommended Littledata
Pointblank’s decision came down to signal reliability, where Shopify's intent actually forms.
Littledata delivered a Shopify-native foundation with stronger identity resolution, near-complete checkout visibility, and the highest browse and product coverage.
With clean Shopify signals in place, audiences expanded, attribution stabilised, and lifecycle flows reached more high-intent customers.
Based on these results, Pointblank moved away from their previous setup and standardised on Littledata, the data layer for Shopify.
Partner Testimonial
"Littledata allowed Future Kind to reliably reach thousands of high-intent shoppers that other tools never detected, expanding abandonment revenue potential across the entire funnel".
- Julien, Pointblank Marketing
