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bluesheep
bluesheep
Analytics & Attribution

If you cannot trace it, you cannot improve it

We connect acquisition, behaviour, conversion and revenue into one measurement system your team owns, so growth decisions rest on evidence rather than on four dashboards that disagree.

What we build

A measurement system, not another dashboard

  1. Our belief

    A dashboard displays numbers. A connected data system answers questions.

    You almost certainly do not need a new analytics platform. The problem is nearly always implementation and architecture, and we will show you why before you spend anything on a replacement.

  2. 01

    Measurement architecture

    Before installing anything we agree what needs measuring: business objectives, conversion definitions, key events, funnel and lifecycle stages, naming conventions, data ownership and source of truth rules. This plan is the blueprint everything else is built against.

  3. 02

    End to end tracking

    Website analytics, campaign parameters, conversion tracking, CRM data, lead sources, product events, form interactions, offline conversions, ad platforms and revenue, wired into one journey rather than a shelf of isolated platform reports.

  4. 03

    Attribution

    First touch, last touch, multi touch, position based, time decay, assisted conversion and account level analysis all have a place. We choose for your buying journey and the data you actually have. Attribution is an estimation model, so we also tell you where it cannot see.

  5. 04

    Dashboards and decision systems

    Reporting built around decisions rather than around available metrics: which channels create qualified demand, which content influences pipeline, where the funnel slows, and what changed this month and why. Built in the tools your team already uses where possible.

  6. 05

    Ownership and governance

    Client owned accounts, documented definitions, consistent naming, transparent tracking, access controls and reusable dashboards. If the engagement ends, your measurement system does not end with it.

The problem

Data exists everywhere. Confidence does not.

Most teams have analytics installed. Far fewer can answer which channel produced the opportunity, or what the content had to do with it.

  • Every tool reports a different number

    We define conversions, events, funnel stages and source of truth once, in writing, so the difference has an answer instead of an argument.

  • A dashboard nobody trusts

    We validate events, conversions and attribution against reality before anything is reported, and document what each metric means.

  • Revenue that cannot be traced to a channel

    We connect the journey from campaign parameters through CRM stages to closed revenue, on a model that fits your buying cycle.

  • Tracking that lives in the agency's account

    Yours stays yours. Accounts, dashboards, documentation and tracking logic are handed over built for your team to maintain.

What you get

Artefacts your team can operate without us

Scope decides how many of these apply. All of them are handed over documented.

Definition
Measurement strategyAnalytics auditTracking planEvent taxonomyDocumented metric definitions
Implementation
Conversion architectureCampaign trackingCRM integrationData QA
Attribution
Attribution modelAssisted conversion analysisAccount level analysis
Reporting
Dashboard architectureExecutive dashboardsFunnel reportingAnalytics governance

Your measurement system stays yours

  • Ship AI tools
  • Take a prototype to production
  • Stand up cloud infrastructure
  • Build a payments platform
  • Extend my engineering team
  • Audit my architecture
  • Rebuild a legacy system