INTERPRETATION
Good lead counts. Bad source data.
An outcome count and its channel credit answer different questions.
Read the articleFIELD GUIDES / MARKETING REPORTING
A chart can be accurate and still answer the wrong question. Look at what is counted, which channels get credit, and which comparisons the data can support.
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Define and check the outcome.
Understand attribution and missing information.
Compare like with like and explain measurement changes.
An interpretation framework, not sample client performance.
Before building another page of charts, agree on the question the report needs to answer. Leadership may need to understand outcomes and meaningful changes. A marketing team may need a closer look at campaigns or journeys. The same dashboard does not have to serve every conversation.
Define the numbers, choose a useful comparison, and keep the limits visible. Those choices give the report its purpose.
START WITH YOUR QUESTION
INTERPRETATION
An outcome count and its channel credit answer different questions.
Read the articleCOMPARISON
Check what each report counts and which question it can answer.
Read the articleREPORTING LOGIC
Work through the reporting logic before assuming the tracking failed.
Read the articleDocument what counts, which forms or customers are included, and where the number comes from.
Check periods, filters, definitions, and the rules used to assign channel credit. Document differences that cannot be aligned.
Put tracking changes and important limitations beside the result.
Review the report with the people who will use it and agree on the next question.
Recorded conversions may rise when missed inquiries start being collected. They may fall when duplicate events are removed. Both changes need an explanation before the result is described as a change in marketing performance.
When a tracking repair changes the conversion chartI build Data Studio dashboards, analyze performance, and investigate reporting disagreements. Depending on the question, the work may also involve GA4 reconciliation or scoped BigQuery analysis. We agree on the deliverable and review the findings together.
Explore reporting and analysis Check the collection firstTell me who uses it, what they need to decide, and where the current view leaves them guessing.