Find a project that looks like your problem.
Six recent projects for five clients. Pick what your team is dealing with to see the closest ones, with what each showed and what stayed open.
- 6projects
- 4services
- 6 of 6say what stayed open
Case studies
- Analytics audit · Business compliance servicesWhat was behind the Direct traffic?ShowedWith portal visits and the two suspicious groups set aside, Direct fell from just over half of sessions to under 40% in that view.Stayed openThe source of the suspicious traffic wasn’t confirmed. Likely automated is as far as the evidence goes.Read the case study
- Consent management · Professional fitness educationCheckout tracking that follows the consent choiceShowedThe consent bridge was in place and tested.Stayed openLegal decisions stayed with the client’s counsel. This work documented technical behavior and isn’t a legal approval.Read the case study
- Reporting and analysis · Business compliance servicesSearch, content and AI referrals in one reportShowedOne reporting structure, with the definition of each measure written down.Stayed openVisits that start on a worked page don’t show that the content work caused a conversion, and the report doesn’t claim that.Read the case study
- Reporting and analysis · Workforce developmentDashboards for news, events and career pagesShowedThree dashboards delivered and updated after review.Stayed openA click out to a registration page shows interest. It isn’t a completed registration.Read the case study
- Analytics audit · SaaSThe signup count was right. The source data was the gap.ShowedGA4’s overall signup count lined up with internal reporting, so the count could be trusted.Stayed openLanding page and channel information stayed incomplete for a large share of signups.Read the case study
- Tracking implementation and repair · Public garden with online ticketingPurchase tracking broke. Google Ads couldn’t see order values.ShowedPurchases recorded again from September 11, covering tickets, memberships and donations.Stayed openData from before the fix still carries the duplicate counts. Fixing collection going forward doesn’t change what was already recorded.Read the case study
Why every story ends with what stayed open
A fixed tag doesn’t fix last month’s data, and a matching count doesn’t mean the attribution is right. I write down what the work settled and what it didn’t, so your team knows which numbers to lean on.
What does your team need to understand?
Tell me where the numbers stop making sense, what you’re trying to measure, or which report needs to answer a better question.