Most analytics stacks don't fail at reporting.
They fail at design.
Enterprises invest heavily in Adobe Analytics, AEP, CJA, and GA4 — yet still argue over numbers and make decisions driven by opinion instead of evidence.
The problem is rarely tooling. It's unclear measurement design, weak data foundations, and systems never built to scale decision-making.
How we work differently
Most analytics initiatives fail not because teams lack tools — but because measurement decisions are made too late, ownership is unclear, and systems are designed in silos.
MetricByte Consulting focuses on analytics as a system — spanning measurement design, data architecture, and activation so every platform works in concert.
The result isn't more data. It's data teams and business teams that finally trust the same numbers.
Five ways we help enterprise teams win.
Design analytics architectures that scale
Define event-driven measurement frameworks aligned to business outcomes across Adobe Analytics, GA4, and CJA — before implementation decisions lock teams into fragile setups.
Restore trust in data
Diagnose why numbers don't match across analytics, experimentation, and BI systems — and fix data quality issues at the source, not downstream in reports.
Make confident platform decisions
Clear, opinionated guidance on when Adobe Analytics is sufficient, when CJA adds value, and how AEP fits into a broader measurement and activation ecosystem.
Enable experimentation and activation
Ensure analytics supports A/B testing, personalization, and activation across Adobe Target and Optimizely — without compromising measurement integrity.
Connect analytics to the data warehouse
Design clean, governed pipelines from analytics platforms into Snowflake and downstream BI tools so data can be used confidently beyond reporting.
Not sure where to start?
Request an analytics audit — get a clear picture of what's broken and what to fix first.
Request an Audit →Analytics works only when the system works.
When measurement design, identity, and data governance are weak, experimentation becomes unreliable, personalization becomes guesswork, and reporting becomes a reconciliation exercise.
Data Collection
Web, App, Campaigns
Analytics & Measurement
Adobe Analytics, GA4, CJA
Customer Data Platform
Adobe Experience Platform, Segment
Activation & Decisioning
Experimentation, Marketing, BI
What teams tell us after working together.
We originally engaged MetricByte to help with analytics discrepancies. What we got instead was a complete rethink of how measurement should work across our products and platforms.
For the first time, our analytics, experimentation, and marketing teams were working from the same definitions and trusted the same numbers.
The biggest shift was not technical. It was clarity — knowing what we were measuring, why it mattered, and how decisions should be made using the data.
Not sure if your analytics setup is working the way it should?
Request an analytics audit to review your measurement architecture, data quality, and platform decisions — and get clear next steps.
Request an Analytics Audit