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Why do two reports disagree about the same product campaign?

Align the reporting definitions before comparing results. Two dashboards can count different actions or assign credit differently while both are working as configured. A discrepancy is an investigation task, not immediate evidence that the creative or tracking is fraudulent.

01 / WHY DO TWO REPORTS DISAGREE ABOUT THE SAME PRODUCT CAMPAIGN?

Write down what each number means

For an illustrative launch review, one report might show clicks, another sessions and another attributed purchases. Those are different units. Record the metric name, date range, time zone and selected campaign before exporting the totals. Keep the raw report definitions with the review.

Google Analytics documents attribution settings and eligible lookback periods. Check the actual configured rules rather than assuming that an advertising platform and website report assign credit in the same way. Do not change the rules simply to make the totals match.

02 / WHY DO TWO REPORTS DISAGREE ABOUT THE SAME PRODUCT CAMPAIGN?

Create a reconciliation sheet

DifferenceCheckKeep visible
Different datesTime zone and report rangeExact range
Different outcomesEvent definitionCounted action
Different creditAttribution model or windowActual configuration
Recent changesProcessing and report stateExtraction time

Resolve a definitional difference separately from a missing event or broken link. A combined total can conceal which problem remains.

03 / WHY DO TWO REPORTS DISAGREE ABOUT THE SAME PRODUCT CAMPAIGN?

Compare equivalent slices

Use the same product campaign and a clearly defined interval. Check whether refunds, duplicate events or later actions are included according to the relevant system. Ask the analytics owner to investigate implementation defects; creative generation cannot repair reporting configuration.

04 / WHY DO TWO REPORTS DISAGREE ABOUT THE SAME PRODUCT CAMPAIGN?

State the practical limitation

The final review should name the chosen reporting basis and any unresolved mismatch. Do not merge incompatible dashboards into one unsupported return claim. Use creative comparison for production variables and accepted-asset cost for a separately defined production metric.

05 / WHY DO TWO REPORTS DISAGREE ABOUT THE SAME PRODUCT CAMPAIGN?

A reconciliation that does not force the totals to agree

Fictional reports: dashboard A lists 120 sessions for the lamp campaign. Dashboard B assigns 6.4 key-event credits to that campaign. Subtracting 6.4 from 120 does not identify missing orders: the measures differ. Keep the original exports, counted unit, interval/time zone, filters, extraction time and implementation owner.

QuestionConcrete distinctionWhat remains unresolved
What is counted?Sessions are not purchase events or attribution creditsNeed an equivalent outcome definition
What does a decimal mean?Google documents fractional event credit under data-driven attributionNot a fractional physical order or proof of duplicate events
Which time rule?Report interval selects reported dates; lookback determines eligible prior interactionsNeed the actual settings of both systems
What next?Compare matching units/slices, then investigate any remaining discrepancyNo live account or corrected result in this exercise

Google’s description of lookback windows concerns how far back an interaction can receive credit. Do not assume this is the same as the report’s displayed date range, or change the model to obtain a desired total. Record configuration changes and which reports they affect. A residual difference requires investigation; this example does not diagnose fraud or a particular tracking defect.

Published by CartVisualPublished Updated Evidence and editorial policy
SOURCES & SCOPE

Sources and further reading

Recorded source-review dates are listed individually below. An undated source does not inherit the article’s publication date. Software and platform rules can change; check the current original before acting.

QUESTIONS, ANSWERED

Frequently asked questions

Should all dashboards show identical totals?

Check whether they measure and attribute the same thing.

Can a different time zone matter?

Record and align the actual reporting interval.

Does CartVisual configure attribution?

Use your analytics and advertising tools.

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