Most analytics stacks don’t fail at reporting. They fail at design.
Enterprises invest heavily in platforms like Adobe Analytics, AEP, CJA, GA4, and experimentation tools — 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 that were never built to scale decision-making.
Why analytics programs break — and how we work differently
Most analytics initiatives don’t fail because teams lack tools. They fail because measurement decisions are made too late, ownership is unclear, and systems are designed in silos.
Event models are rushed, data layers are treated as implementation details, and governance is introduced only after trust has already eroded. By then, teams are left reconciling numbers instead of making decisions.
MetricByte Consulting focuses on analytics as a system. We work across measurement design, data architecture, and activation to ensure analytics supports experimentation, personalization, and executive decision-making — not just reporting.
The result is not more data. It’s data teams and business teams that finally trust the same numbers.
What we help teams do
Design analytics architectures that scale
Define event-driven measurement frameworks aligned to business outcomes — across Adobe Analytics, GA4, and Customer Journey Analytics — 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
Provide clear, opinionated guidance on when Adobe Analytics is sufficient, when Customer Journey Analytics 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 platforms like 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 analytics data can be used confidently beyond reporting.
Analytics works only when the system works
Analytics is not a standalone function. It sits inside a system where upstream decisions determine what is possible downstream.
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