Analytics and measurement guides

Choose the issue you need to resolve

Each guide includes working files and an AI prompt you can use for support. Follow the instructions and add your own evidence and decisions.

• The Dashboard Is Busy but No Decision Changes

  Make reports useful for real decisions.

• Every Team Uses a Different Definition of Conversion

  Agree what each conversion means and who owns the definition.

• Marketing Optimises to Leads Sales Would Never Pursue

  Measure the leads sales can pursue, not just the number collected.

• Vanity Metrics Are Hiding Weak Commercial Progression

  Show whether attention leads to useful customer or commercial progress.

• The Business Has Targets but No Trusted Baseline

  Agree a reliable baseline before judging a target.

• A KPI Improved while Customer or Margin Outcomes Got Worse

  Check whether a better KPI increases costs or harms customers elsewhere.

• Leading Indicators Are Being Reported as Business Outcomes

  Keep early indicators separate from achieved business results.

• Aggregates Hide Which Customers, Products or Markets Are Failing

  Find customer, product or market problems hidden by the average.

• Measurement Was Added after Launch and Cannot Answer the Original Decision

  Recover what can be known after late tracking, and record what cannot.

• No One Owns the Metric from Source to Decision

  Assign ownership from the source data through to the decision.

• GA4 Is Installed but the Data Cannot Be Trusted

  Check whether GA4 data is reliable enough for the decisions you need to make.

• Google Tag Manager Has Become an Uncontrolled Production System

  Control who can change GTM, how changes are tested and how to roll them back.

• Events Fire but Their Names and Parameters Have No Stable Meaning

  Give events and parameters clear, consistent definitions.

• The Data Layer Breaks Whenever the Website Changes

  Keep tracking reliable when the website design changes.

• Forms, Calls, WhatsApp and Chat Are Not Measured End to End

  Follow permitted contact routes from first attempt to accepted outcome.

• Single-Page Applications and Dynamic Journeys Are Missing Steps

  Measure navigation and state changes in dynamic applications correctly.

• Cross-Domain, Subdomain or Payment Journeys Break the Session

  Keep permitted journey evidence connected across domains and payment steps.

• E-commerce Revenue Does Not Match Orders, Refunds, Tax or Currency

  Reconcile tracked transactions with orders and financial records.

• Tracking Tests Pass in Preview but Fail in Production

  Test tracking in production before accepting a release.

• The Site Tracks Every Click but Cannot Identify Meaningful Behaviour

  Keep the events that explain meaningful behaviour and remove the noise.

• The Consent Banner Is Live but Tags Fire before the User Chooses

  Test whether collection respects the choice recorded by the consent banner.

• Analytics Collection Has No Clear POPIA Purpose or Data Boundary

  Define the purpose and permitted use of analytics data.

• Personal Information Is Leaking into URLs, Events or Reports

  Contain personal-information leaks and verify the correction.

• Staff, Agencies and Test Traffic Pollute Performance Data

  Separate staff and test activity from customer reporting.

• Bots, Spam and Automated Activity Look Like Real Demand

  Stop bots and spam from distorting customer and performance reports.

• UTM Campaign Data Is Inconsistent, Missing or Overwritten

  Keep campaign names and parameters consistent across reports.

• Cookie Loss and Browser Restrictions Create Measurement Gaps Nobody Has Quantified

  Measure the gaps caused by cookie loss and browser restrictions.

• Metrics Changed after a Platform Update with No Version Record

  Check whether a platform update changed a metric or its processing.

• A Sudden Spike or Drop Could Be Real or a Tracking Incident

  Find out whether a sudden change is real or a tracking incident.

• Analytics Access, Retention and Deletion Are Not Governed

  Assign responsibility for analytics access, retention and deletion.

• Every Marketing Channel Claims the Same Conversion

  Reconcile conversions claimed by more than one channel.

• Direct and Unassigned Traffic Is Hiding the Real Journey

  Investigate why traffic has no reliable acquisition source.

• Lead Source Is Lost between the Website and CRM

  Keep permitted source and consent information intact between website and CRM.

• Offline Sales and Service Outcomes Never Return to Marketing Measurement

  Return eligible offline outcomes to marketing measurement safely.

• Long Sales Cycles Make Campaigns Look Successful or Unsuccessful Too Early

  Judge campaigns over a window that fits the sales cycle.

• Last-Click Reporting Erases the Journeys That Assisted the Decision

  Understand assisting touchpoints without inventing conversion credit.

• The Same Customer Becomes Multiple People across Devices and Systems

  Check the limits and risks of linking customer records across systems.

• Revenue Reporting Ignores Margin, Refunds and Service Cost

  Reconcile gross revenue with recognised value, refunds and relevant costs.

• Acquisition Reporting Stops before Retention and Lifetime Value

  Follow acquisition cohorts through repeat use, retention and customer value.

• Attribution Is Being Treated as Proof That Marketing Caused the Outcome

  Distinguish attributed credit from evidence that marketing caused an outcome.

• Executives Do Not Trust the Dashboard

  Find out why executives do not trust the dashboard.

• The Monthly Report Explains Activity but Not What to Do Next

  Turn the monthly report into decisions, actions and follow-up.

• GA4, Advertising, CRM and BI Reports Refresh at Different Times

  Compare reports using explicit cutoffs and refresh schedules.

• Analytics Has Outgrown GA4 but Replatforming Could Create More Confusion

  Choose reporting tools based on data needs, cost and operating capability.

• An A/B Test Was Declared a Winner before the Evidence Was Ready

  Check the evidence before declaring an A/B test winner.

• Experiment Results Cannot Be Repeated or Applied to the Next Decision

  Record enough context to reuse or repeat experiment learning.

• Analytics Alerts Create Noise but Miss Material Failures

  Make alerts worth investigating and give each one an owner.

• The Measurement Backlog Is Prioritised by the Loudest Request

  Prioritise measurement work by the decision, risk and capacity it affects.

• Agency and Internal Analytics Reports Use Different Evidence Rules

  Agree evidence and acceptance rules across agency and internal teams.

• Tracking Works Today but No One Operates It after Handover

  Keep tracking reliable after the implementation team leaves.

Put the decision in context

• GA4 vs Power BI: When Web Analytics Is Not Enough for Business Reporting

  Decide when GA4 is enough, when you need a business reporting model and how Power BI can connect analytics with other systems.

• What Is a Data Strategy and Why Does Your Business Need One?

  Build a data strategy around the decisions your business needs to make, with clear responsibilities, reliable data and appropriate access.

If your team needs wider access, decision-making authority or an independent assessment, see how Abrasim can help.