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Bags & Accessories • Shopify • United Kingdom

Troop London’s Meta tracking broke after a dataset conflict.

Troop London is a UK-based Shopify brand selling premium canvas bags, backpacks, messenger bags, luggage, and accessories. A tracking audit found fragmented Meta datasets, broken Pixel behavior, and unstable Conversion API delivery affecting attribution and campaign reporting.

Meta Purchase tracking restored
1 Production dataset aligned
4 Core ecommerce events validated
CAPI Server events synchronized

The Store

Troop London operates globally and relies on Meta Ads for customer acquisition and performance marketing. Because Meta reporting is central to campaign optimization, any break in purchase tracking, event match quality, or attribution can quickly affect how budget is measured and scaled.

The Problem

AdScale and Webgarh GTM Assistant were sending Meta conversion signals into different places.

Troop London was using AdScale alongside Webgarh GTM Assistant tracking infrastructure. AdScale was configured with a separate Meta dataset, which meant conversion events were fragmented across data sources instead of flowing through one consistent production dataset.

During the investigation, the AdScale app had also removed or modified parts of the existing Meta Pixel setup. Meta Pixel stopped firing reliably, server-side Conversion API events failed, and Purchase and Checkout events were no longer sent consistently.

The result was a disconnect between Shopify orders, Meta Ads Manager, and attributed revenue. Campaign reporting became unreliable, optimization signals weakened, and the team could not fully trust Meta performance metrics.

A third-party app conflict had split the store’s Meta event architecture: one Shopify store, multiple tracking systems, and inconsistent conversion signals.

What We Did

Audit, configure, validate, monitor.

01

Tracking Audit

We reviewed Shopify pixel installation, theme and app scripts, checkout event behavior, web pixel configuration, Meta dataset ownership, Event Manager diagnostics, deduplication, Test Events, and Event Match Quality.

02

Dataset Reconfiguration

We identified the correct production Meta dataset, reconnected Webgarh GTM Assistant tracking infrastructure to it, and removed conflicting dataset dependencies that were fragmenting conversion signals.

03

Pixel & CAPI Restoration

We restored Meta Pixel implementation, browser events, server-side Conversion API delivery, and the event deduplication structure needed to connect browser and server signals cleanly.

04

End-to-End Testing

We verified ViewContent, AddToCart, InitiateCheckout, Purchase, server-side event delivery, and deduplication accuracy inside Meta Events Manager.

The Results

Meta Purchase tracking became stable again.

After the fix, Purchase events fired correctly, Conversion API events synchronized properly, and duplicate or fragmented event behavior was minimized. Shopify orders and Meta reporting were brought back into alignment so the store could rely on cleaner attribution.

Troop London regained reliable Meta Ads reporting, accurate conversion attribution, better campaign optimization signals, and improved confidence in performance metrics.

For Shopify stores that depend on Meta Ads, dataset consistency is not optional. A single app-level change can silently break Pixel firing, Conversion API delivery, deduplication, and purchase attribution.

Ready?

Let’s fix your tracking. Permanently.

Talk to Our Team → Start with an Audit

Most eCommerce stores do not have a traffic problem first — they have a measurement problem.