The client is a global leader in authentic yoga training and wellness courses. They needed precise, product-level event data — especially around payment steps — to optimize marketing and better understand their customers.
But Klaviyo’s usual client-side tracking? Not their thing. Instead, they roll server-side. That meant no easy plug-and-play — just a blank slate, and a whole lot of questions.
“We want to see exactly which product made someone hit ‘Add Payment Info’ — right inside Klaviyo.” Simple to say, a nightmare to nail.
Documentation was sparse. Tracking guidelines were cryptic. Product-level clarity was missing in action.
Server-side setup meant no standard plug-and-play solution — requiring custom engineering from scratch.
Product details weren’t surfacing in Klaviyo initially — payload alignment was a core challenge to solve.
Timing the event triggers perfectly was crucial — too early or too late and the data would lose its meaning entirely.
Where others saw barriers, we saw a puzzle to solve. Reverse-engineering Klaviyo’s tracking model was the key.
The goal was clear: enable the client to see exactly which product triggered key checkout events, all within Klaviyo — powered entirely by server-side infrastructure.
DwiSol approached this challenge systematically — studying, reusing existing foundations, engineering precision triggers, and validating relentlessly until the data was perfect.
We didn’t guess — we studied Klaviyo’s tracking model like detectives hunting clues, reverse-engineering what made it tick.
The client already had a GA4-standard ecommerce data layer. So we leveraged that solid foundation, saving time and headaches.
We built a custom server-side “Add Payment Info” trigger that fired only when it mattered, passing all the juicy details — item_name, product_name, and more.
We tested every event in Klaviyo’s backend until the data was flawless and real-time, ensuring nothing slipped through the cracks.
The path to a clean solution wasn’t without friction. Each obstacle required focused problem-solving and creative engineering to overcome.
Klaviyo’s limited docs meant lots of trial and error — we filled in the gaps through systematic testing and experimentation.
Product details weren’t showing up initially, so we aligned the payload exactly with Klaviyo’s specifications until every field appeared correctly.
Timing the event triggers perfectly was crucial — too early or too late and the data would lose meaning entirely in Klaviyo’s system.
But with laser focus and some creative engineering, we made it happen — turning a tricky build into a reliable, scalable system.
The final implementation tied together Klaviyo’s server-side API with the client’s existing GA4 data layer — producing clean, real-time product event data with zero noise.
Rather than rebuilding from scratch, we leveraged the client’s existing GA4 ecommerce data layer as the foundation. This saved significant time and provided a battle-tested, structured source of product and event data to work from.
We engineered a custom server-side trigger that fires exclusively at the “Add Payment Info” checkout step — capturing the exact product data at the precise moment of maximum intent. The trigger passes all required details including item_name, product_name, and other key fields.
| Field | Description | Type |
|---|---|---|
| item_name | Name of the individual product item in the cart | Required |
| product_name | Display product name passed to Klaviyo event | Required |
| Event Type | Add Payment Info — maps to checkout intent signal | Required |
| Custom Properties | Additional product metadata for segmentation | Enhanced |
A key hurdle was getting product details to appear in Klaviyo’s backend. Through systematic testing, we aligned the server-side payload precisely with Klaviyo’s API requirements — ensuring every property rendered correctly within the Klaviyo event stream without discrepancy.
We ran a comprehensive validation marathon — testing every event scenario in Klaviyo’s backend, verifying real-time data flow, and confirming that no events were missed or duplicated. The result: a clean, reliable signal that the marketing team could act on with full confidence.
Every component was chosen to maximize reliability, minimize client-side dependency, and ensure long-term scalability — no third-party middleware, no fragile client-side scripts.
Klaviyo Server-Side API
GA4 Ecommerce Data Layer
Google Tag Manager (Server-Side)
Custom Event Triggers
Real-Time Validation Testing
The brand went from having no product-level visibility inside Klaviyo to a sleek, scalable server-side tracking system delivering crystal-clear product event data — in real time, with no noise and no guesswork.
Klaviyo now shows exactly which product triggered the “Add Payment Info” event — the exact insight the client needed to optimize campaigns.
Product-level event data unlocks precise audience segmentation and behavioural targeting — smarter data means sharper targeting and stronger sales.
A sleek server-side tracking system that delivers validated, real-time data — scalable as the brand grows and adds more products and campaigns.
The rigorous validation process ensures every event is accurate and meaningful. The marketing team can make decisions with full confidence in the data.
This wasn’t just a tracking fix — it was a full-on data revolution. When the usual tools won’t cut it, we build the ones that do.
Because good data isn’t optional — it’s unstoppable. The brand went from shooting in the dark to running campaigns powered by sharp, validated insights. Smarter data, sharper targeting, stronger sales.
— DwiSol, Post-Implementation Summary
DwiSol specializes in server-side tracking and data-driven analytics. When the usual tools won’t cut it, we build the ones that do.