Proof, not promises

Results we have shipped.

Every engagement starts with the same audit you are looking at. These are the outcomes when the findings get fixed: real implementations, verifiable numbers and the exact method behind each one.

Brands across the world

Measuring since

Avg event match quality after fixes

More conversions after CAPI

Selected work

Four problems. Four measurable fixes.

Meta CAPIMatch qualityLead gen

Meta lead event match quality uplift

Challenge

A pixel-only lead setup passed incomplete parameters, producing low event match quality and limiting how well Meta could find similar high-intent buyers.

Solution

Meta CAPI carrying enriched, hashed parameters: email, phone, fbp and fbc, so each lead event arrived with the strongest possible identity signals.

Result

Event match quality climbed to 9+/10 and Meta reported 133% more conversions versus the pixel-only baseline, on the same audiences and budget.

133%

more conversions vs pixel only

Meta CAPIDeduplicationServer-side

Meta Pixel and CAPI with event deduplication

Challenge

Browser-only signals were disappearing to ad blockers and iOS restrictions, while the lack of a shared identity created a real risk of double-counting events across web and server.

Solution

Server-side CAPI with a stable event_id deduplication key shared between the pixel and the server, so every conversion is sent twice for reliability but counted exactly once.

Result

Near 1:1 hit parity between browser and server, exactly-once attribution, and higher match rates that gave the algorithm cleaner signals to optimize on.

~1:1

browser to server parity

ShopifyCustom PixelsServer-side GTM

Shopify custom pixels via Checkout Extensibility

Challenge

Ecommerce tracking gaps after Shopify deprecated checkout.liquid were causing data loss on the most valuable events, which starved campaign optimization.

Solution

GA4 Enhanced Ecommerce, Shopify Custom Pixels on Checkout Extensibility, server-side GTM, Meta CAPI and Google Ads conversions wired into one resilient pipeline.

Result

95%+ event accuracy across the funnel and a future-proof setup that survives Shopify platform changes without breaking measurement.

95%+

checkout event accuracy

BigQuerySQL pipelinesAttribution

First and last touch attribution via BigQuery

Challenge

GA4 standard reports could not clarify which sources actually drove purchases, leaving the team to split budget on default last-click guesses rather than the full journey.

Solution

BigQuery SQL pipelines stitched session paths from the raw GA4 export and built distinct first touch and last touch models on top of the complete event stream.

Result

Clear separation of top converting versus assisting sources, giving the team ROI insight to reallocate budget toward channels that genuinely move revenue.

BigQuery

first vs last touch modeled

Clients