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SEO Course / Search Measurement Implementation Lab / Lesson 81

Module 15 / Lesson 81 · Read, apply, check

Build a Decision Dashboard and Reconcile the Numbers

Create a compact report that separates delivery, visibility, qualified outcomes and cost.

By Adriaan BritsCEO of Sitetrail · MSc Marketing
Former LinkedIn Learning instructor in SEO, Advanced Google Analytics and Google Ads
Course edition: October 2026

Visual explanationWorked examples35-minute practical taskKnowledge check

Give each row a decision

Choose a small set of measures that support an action: maintain, investigate, improve or stop. Delivered articles, search impressions, enquiries and revenue describe different stages. A dashboard should make their relationship understandable without pretending that every stage is perfectly attributable.

Define units and periods

Record the date range, source, currency, timezone and counting definition where relevant. Distinguish events from users and enquiries from qualified opportunities. Two systems may disagree because one counts repeated submissions or uses a different reporting window, not because either number is fabricated.

Reconcile before interpreting

Compare aggregate counts with the operational process that produces them. Investigate duplicates, missing channels, test traffic and timing differences. Keep a discrepancy note rather than silently selecting whichever source makes the campaign look stronger. An unexplained gap is itself a useful reporting finding.

Connect evidence to a next action

Write a short decision beneath the figures with an owner and review date. Show confidence and important limitations. A visually polished dashboard that cannot explain what should happen next is less useful than a plain table with consistent definitions and an accountable recommendation.

Three counts, three different meanings

120 lead events

Analytics events may include duplicate triggers.

90 enquiries

CRM records, with its own channel coverage and process.

30 qualified opportunities

Sales criteria applied after enquiry.

Next decisions

Repair duplicates; investigate qualification; retain source definitions.

A useful dashboard explains disagreement instead of hiding it.

See it in practice

Hypothetical exercise: analytics records 120 lead events, the CRM records 90 enquiries and sales accepts 30 qualified opportunities in the same month. The analyst discovers that confirmation-page refreshes account for some duplicate events and that a separate telephone process is absent from the web event total. She does not subtract values blindly until they match. Instead she defines each measure, documents the known differences and creates a tracking-fix task plus a separate review of enquiry quality. The report also shows campaign costs and delivered work in their own rows. Management can now decide what to repair and what to investigate without treating 120 events as 120 prospective customers.

Compare the alternative

Another dashboard combines impressions, mentions, visits and enquiries into one “growth score” with no units or weighting explanation. The number rises when impressions increase even though qualified opportunities fall. The apparent simplicity hides the business problem. A better report preserves distinct stages and explains the tradeoff, allowing management to ask whether visibility reaches the right audience and whether the offer converts suitable demand.

Avoid this misconception

Misconception: reconciling data means making every source display the same number. Different systems can measure different things. Reconciliation means explaining the relationship and finding actual errors, not forcing incompatible definitions into one total.

Know the boundary

Attribution and observation limits remain even after instrumentation is repaired. Avoid importing personal customer records into a general marketing dashboard when aggregate counts suffice. Access to commercial data should follow the organization’s existing permissions.

Do this today · 35 minutes

Turn this lesson into a useful action.

Create a compact report that separates delivery, visibility, qualified outcomes and cost.

Before you start

Aggregate campaign and operational counts, or the sample analytics/CRM figures.

Practise with this scenario

Analytics: 120 lead events. CRM: 90 enquiries. Sales: 30 qualified opportunities. Known duplicate refresh events and separately recorded telephone enquiries.

Your steps

  • Create rows for delivered work, visibility, enquiries, qualified opportunities and costs; write a definition and source beside each.
  • Enter the sample counts without renaming events as people or treating all enquiries as qualified.
  • List known reasons for disagreement and distinguish confirmed defects from questions requiring investigation.
  • Write one measurement repair and one business-quality investigation with named owners.
  • Add a decision sentence and review date explaining what management can conclude now and what remains uncertain.

What better looks like

Before: “120 leads prove the campaign succeeded.”

After: 120 events, 90 enquiries and 30 qualified opportunities, with a duplicate-event repair and quality review.

Your working notes

Notes stay in this browser. Download a copy to keep them.

Verify your work

  • Each measure has a source and definition.
  • Incompatible counts are not silently merged.
  • The report ends with an owned decision and review date.

Follow up

Reconcile again after the instrumentation fix and compare qualified outcomes using consistent definitions; retain notes on historical data that cannot be repaired retroactively.

Before you move on

Make the decision.

Analytics shows 120 lead events, the CRM shows 90 enquiries and sales records 30 qualified opportunities. Duplicate refresh events and separately recorded calls explain part of the difference. What dashboard treatment best supports a responsible management decision about the campaign?

Sources and further reading

Google Analytics: Recommended events

Google Analytics: Attribution

Search Console performance report

Lesson edition 1 · References reviewed 15 October 2026 · Practical exercise reviewed 15 October 2026. Examples are illustrative teaching scenarios.

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