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SEO Course / Search Measurement Implementation Lab / Lesson 78

Module 15 / Lesson 78 · Read, apply, check

Build a Reproducible Search Console Export

Create a search-performance worksheet whose filters, definitions and comparisons another analyst can reproduce.

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 examples25-minute practical taskKnowledge check

Name the decision first

Choose a decision such as which service page needs investigation. Define the property, search type, dates and relevant segment before exporting. Exporting every available field without a question creates a large file but does not establish which comparisons will be meaningful.

Keep dimensions and metrics distinct

A page, query, country or device is a grouping dimension; clicks and impressions are measures. Changing the grouping changes the question being answered. Record whether a row describes one page, one query or a combination so totals are not combined as though all exports share the same grain.

Calculate rates from totals

For a combined click-through rate, divide total clicks by total impressions. Do not take an unweighted average of percentages from groups with very different impression counts. Retain the raw counts so another person can inspect the calculation and the contribution of each segment.

Document incomplete visibility

Search reports have privacy, aggregation and export limits. A query table need not explain every click in a top-level total. Preserve the report context and state what was excluded instead of manufacturing missing rows or presenting an exported sample as a complete record of every search.

Rates need the correct denominator

Small group

1 ÷ 10 = 10%.

Large group

100 ÷ 10,000 = 1%.

Wrong aggregation

(10% + 1%) ÷ 2 = 5.5%, which ignores unequal exposure.

Correct aggregation

101 ÷ 10,010 ≈ 1.009% across the compatible groups.

Combine raw counts before calculating a combined rate.

See it in practice

Hypothetical exercise: two service-page rows contain 90 clicks from 900 impressions and 10 clicks from 100 impressions. Their combined rate is 100 divided by 1,000, or ten percent. A third row has one click from ten impressions but belongs to a different country filter and should not be silently appended. The analyst records the property, dates, device and country in the worksheet header, then compares only like-for-like rows. When the query export does not reconcile exactly with the report total, she notes reporting limitations and retains both values. She does not invent queries to force a perfect sum. The result is a reproducible analysis rather than a polished but ambiguous spreadsheet.

Compare the alternative

Another report averages a ten percent rate from ten impressions with a one percent rate from ten thousand impressions and announces a combined rate of 5.5 percent. That gives the tiny group the same weight as the large one. The appropriate aggregate uses raw clicks and impressions for the same scope. The error can materially change which page appears to deserve attention and therefore distort prioritization.

Avoid this misconception

Misconception: every exported table must reconcile exactly to every dashboard total. Differences in grouping, filters and reporting limits can matter. Investigate the definitions and coverage before calling a mismatch a tracking failure.

Know the boundary

This worksheet supports a bounded decision, not a complete reconstruction of all search activity. If export limits matter to the project, assess a suitable authorized data-access method and record its coverage rather than quietly expanding the claim.

Do this today · 25 minutes

Turn this lesson into a useful action.

Create a search-performance worksheet whose filters, definitions and comparisons another analyst can reproduce.

Before you start

Search Console read access and a spreadsheet, or the sample counts in this lesson.

Practise with this scenario

Segment A: 1 click/10 impressions. Segment B: 100 clicks/10,000 impressions. Both use the same dates and filters.

Your steps

  • Write the property, search type, dates, country, device and page/query filters at the top of the worksheet.
  • Export the relevant report or enter the sample counts, preserving the dimension represented by each row.
  • Calculate combined CTR as 101 divided by 10,010, approximately 1.009 percent, and compare it with the incorrect unweighted average.
  • Choose one page or segment for investigation based on business relevance and adequate evidence, not the highest percentage alone.
  • Save the raw counts, formula and limitations so a colleague can reproduce the selection.

What better looks like

Before: Unweighted average of 10% and 1% = 5.5%.

After: 101 clicks ÷ 10,010 impressions ≈ 1.009%.

Your working notes

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

Verify your work

  • Report scope is explicit.
  • Rates are calculated from compatible raw totals.
  • Known coverage limitations are recorded.

Follow up

Recreate the report at the next review using the same definitions; explain any deliberate filter changes before comparing results.

Before you move on

Make the decision.

An analyst combines two compatible Search Console segments: one click from ten impressions and one hundred clicks from ten thousand impressions. They average the two CTR percentages and report 5.5 percent overall. What should the reviewer require before using that report to prioritize work?

Sources and further reading

Search Console performance report

Google SEO Starter Guide

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

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