Download our white paper: The big lie in digital analytics

Modern marketing teams are optimising on only part of the picture. Browser privacy controls, ad blockers, corporate firewalls and consent prompts quietly strip out 25-40% of real customer sessions and conversions, long before your analytics or ad platforms ever see them.

The result?

• Distorted ROAS and under-attributed channels
• Mis-trained bidding algorithms
• Experiments and lift tests you can't fully trust

This white paper shows what's really missing, why it's getting worse, and how to fix it without ripping out your existing stack.

⬇️ Download the full white paper

What you'll learn at a glance

• Why 25 to 40% of real sessions and conversions never reach your analytics
• How browsers, consent flows and network setups silently "erase" real users
• Why server-side APIs (which remain blockable) and modeled conversions (which only infer what's missing) only partially close the gap
• How a first-party, edge-side, consent-aware approach restores visibility alongside GA4 and your ad platforms

Inside the white paper

1. The Big Lie in Digital Analytics
Why relying on client-side tags and "what analytics sees" systematically undercounts real users and conversions.

2. Why attribution is breaking and getting worse
How ITP, cookie deprecation, ad blockers and stricter GDPR/CCPA/TCF rules drive the current measurement crisis.

3. A new measurement stack
A first-party, edge-side, consent-aware architecture that observes traffic on your own domain before blockers - working with, not against, your existing tools.

4. Proof from real-world case studies
How B2B, e-commerce and media brands uncovered missing traffic, improved ROAS and recovered previously invisible conversions.

5. Implementation in weeks, not months
A practical path from audit -> pilot -> scale, starting with reconciling server logs against your current analytics.

6. Vendor-neutral evaluation checklist
Clear criteria (consent, latency, PoPs, data residency, security, commercial model) to assess any first-party / edge-side solution.

Who should read this?

• CMOs and marketing leaders under pressure to prove impact
• Performance and growth marketers who suspect under-attribution
• Analytics, data and MarTech leaders responsible for measurement
• Engineering and privacy teams shaping first-party data strategy

Stop optimizing on partial truth

Every missed session or conversion doesn't just break reporting, it trains your bidding, experimentation and AI systems on bad labels.

⬇️ Download "The Big Lie in Digital Analytics" now
Uncover the 25–40% of your performance you've been blind to — and put it back to work.