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Analytics & Reporting

Decisions deserve data that can be trusted.

Broken tracking quietly poisons every decision made downstream. I set up and clean e-commerce analytics so the numbers you look at are the numbers that are real — then translate them into plain decisions.

Most stores carry a residue of old pixels, duplicate events, misconfigured goals and unattributed orders. The first work is forensic: find what is double-counting, what is missing, what was never connected at all.

Then the system is rebuilt lean — one source of truth, events that match how the store actually sells, and reporting that answers the questions you actually ask. The goal is not more dashboards; it is fewer numbers you can trust more.

How the work runs.

  1. 01AuditForensic review of every pixel, event and report currently running.
  2. 02CleanRemove duplicates, dead tags and misleading configurations.
  3. 03RebuildOne clean setup mapped to how the store actually sells.
  4. 04ReportSimple recurring views of the numbers that matter.
  5. 05InterpretWhat changed, why it matters, what to do next — in plain words.

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