We work at the point where analytics decisions start to matter.

How we came to this work

MetricByte Consulting grew out of years spent inside enterprise analytics and digital teams — working with platforms that were technically powerful, but operationally fragile.

We saw the same pattern repeat across organizations: analytics implementations that worked on paper, but failed under real-world pressure — new products, new channels, new stakeholders, and decisions that needed answers faster than systems could provide them.

Over time, it became clear that the hardest analytics problems were not caused by missing features or incorrect tags, but by unclear measurement intent, weak ownership, and architectures that were never designed to support scale.

MetricByte Consulting exists to step in at that moment — when teams need clarity, structure, and a system-level view to move forward with confidence.

How we work with teams

We work as a thought partner to analytics, product, and marketing teams — not as an outsourced implementation arm. Our role is to help teams make the right decisions before execution begins.

Engagements typically start with listening: understanding how decisions are made today, where trust breaks down, and which constraints actually matter. Only then do we define what measurement and data systems should look like.

We are opinionated where it matters. We call out fragile architectures, misused tools, and shortcuts that will create problems later — even when those decisions are already in flight.

The goal is not dependency. The goal is to leave teams with clarity, shared understanding, and systems they can confidently operate and evolve.

When teams usually engage us

Organizations typically reach out when analytics has become a source of friction instead of clarity — and internal teams are struggling to move forward with confidence.

We are often engaged when:

• Different teams report different numbers for the same metrics
• Analytics tools are implemented, but not trusted
• Adobe Analytics, GA4, or CJA data does not align with business reality
• Experimentation and activation depend on fragile measurement
• Leadership needs clear guidance before further platform investment

In these moments, the right next step is rarely another implementation or dashboard — it’s stepping back and fixing the system.