Meta says one thing. Shopify says another.

Clean up tracking, attribution, and identity so revenue moves can be measured against orders, payments, events, and spend.

Why tracking stacks break

The technical failure modes that recur across 2026 audits.

Meta shows 2× purchases vs Shopify/GA4 due to client + server double-firing without idempotency.

Ad blockers, ITP, and third-party pixels silently drop critical conversion events.

Cross-domain, multi-session, and returning-user journeys get split. ROI analysis breaks.

Tag managers slow pages down. Experiment tools can cause flicker or slow server-rendered pages.

GTM, Segment, VWO, and Everflow don't share identity. Results never line up.

"Why didn't this rule fire?" is a mystery. No audit logs, no versioning, no safety.

The real cost of legacy tracking

GTM captures, Segment routes, VWO tests, and GA4 reports, but the numbers still do not line up.

Troubleshooting requires opening 10 tabs and guessing what fired and why.

Changes go live without preview, versioning, or a kill switch — risking data outages.

When data breaks, you can't trace why. Rules and mappings are hard to inspect.

You're forced to choose between site speed (removing tags) and data depth (adding tags).

What growth teams actually need

Server-side idempotency and deduplication so ad platforms match your bank account.

Bypass ad blockers with server-side tracking that preserves 100% of signal.

Stitch cross-domain and multi-session journeys into a single customer view.

Edge-native delivery eliminates tag bloat and keeps experiences flicker-free.

Tracking, routing, testing, and attribution stay connected to the launch and decision they support.

Visual debugging, versioned rules, and safe rollouts. Complete control.

Pilot access

Bring your existing GTM container, a one-week sample, and your top three conversion events. We'll show you the deltas and the cleanup path.