When every platform claims the same order.
Platform reports were claiming overlapping revenue. We reconcile storefront conversions against channel events and build one evidence path for allocation.
Read the full case studyRevenue evidence for commerce
Know which revenue signal to trust.
We trace the event from storefront to ad platform and warehouse, then reconcile the path your team uses to allocate spend.
One order. Three competing stories.
iOS Privacy Changes Gutted Your Tracking
Browser and platform privacy changes remove part of the journey from client-side tracking.
Every Platform Takes Full Credit
Each platform claims overlapping credit for the same order.
Budget Allocation Based on Bad Data
Budget allocation defaults to numbers the team already suspects are incomplete.
Trace revenue from event to evidence.
- 01
Attribution Audit
We audit your current tracking setup: every pixel, every tag, every conversion event. We map where data flows, where it breaks, and where platform numbers diverge. You get a gap analysis showing exactly how much data you’re losing. - 02
Server-Side Tracking
We deploy server-side tracking through server GTM. Data flows from your server to platforms - bypassing ad blockers, cookie restrictions, and iOS privacy features. Meta Conversions API, Google enhanced conversions, and TikTok Events API go live. - 03
Multi-Touch Attribution
We implement attribution models that credit every touchpoint proportionally - not the last-click fiction that most platforms default to. First-touch, linear, time-decay, or custom-weighted models. One model, one dashboard, one truth. - 04
Data Modeling & Reconciliation
Platform numbers get reconciled through data modeling. We build a unified view that shows actual conversions, actual revenue per channel, and actual ROAS - not platform-reported vanity metrics.
The evidence layer behind every channel.
Server-Side Tracking
Server GTM and first-party collection.Conversions API
Meta, Google, and TikTok Events API.Multi-Touch Attribution
Custom-weighted for your business.Data Layer Architecture
Tag governance and clean data flow.Unified Dashboard
One source of truth across all channels.Data Reconciliation
Cross-platform deduplication.Ongoing Monitoring
Quarterly attribution reviews.Documentation & Training
Team training on reading attribution data.
Common questions
How does server-side tracking actually work?
Instead of your visitor’s browser sending data to Meta, Google, and other platforms (which gets blocked by ad blockers and iOS privacy), your server sends it. When a conversion happens, your server fires the event directly to each platform’s API. The data is more complete, more accurate, and more resilient to browser-side limitations.
What attribution model should we use?
It depends on your sales cycle and channel mix. Short purchase cycles (DTC ecommerce) often work well with time-decay or position-based models. Longer cycles (B2B, considered purchases) benefit from custom-weighted models. We’ll recommend the right model during the audit - and we can run multiple models in parallel so you can compare.
Will this disrupt our live ad campaigns?
No. Server-side tracking runs in parallel with your existing setup. We validate accuracy before making any changes. Your campaigns keep running without interruption while your data improves underneath.
How do you handle the agency white-label model?
We stay invisible. Your clients see your agency’s branding on dashboards and reports. Communication flows through your team. Pricing is flexible - per-client, per-project, or retainer. We’re your technical backend, not a competing agency.
Make budget decisions from reconciled revenue.
Start with one order path. We will map the evidence, expose where platforms disagree, and define what trustworthy reporting requires.