Academy / Analytics diagnosis: events, UTMs, and the memo

Reports, booking truth, and the diagnosis memo · 28 min

CTR +40%, appointments flat — open these reports

In this lesson

  • Name the Ads and GA4 reports to open when CTR rises and booked appointments do not
  • Describe the Search Terms and events table if the extra clicks were research queries

Worked numbers (given — do not invent the rest)

Dana’s Search campaign, same impression volume both months. Last month: 10,000 impressions, 400 clicks, CTR 4.0%, 12 desk-logged sales appointments. This month: 10,000 impressions, 560 clicks, CTR 5.6% (that is +40% CTR), still 12 desk-logged appointments. You do not have Quality Score, CPA, or a live GA login. You do have the right to open reports and say what they would show under a hypothesis. The question is not “is CTR good or bad.” The question is which table proves whether the extra 160 clicks were commercial or homework.

Which reports to open, in order

(1) Google Ads → Search Terms (not Keywords). Add columns: clicks, impressions, CTR, conversions if the conversion is the appointment form — and treat that conversion as suspect until the event map is clean. Sort by clicks this month vs last. (2) Google Ads → Landing pages crossed with those terms, or export terms and join on landing URL. (3) GA4 → Traffic acquisition, session campaign, then landing page + query string. (4) GA4 → Events: form_start, generate_lead, click_to_call, broken by sessionCampaignName and pagePath. (5) The desk sheet: booked appointments by day, not a GA4 exploration you invent. Open (1) and (4) before you rewrite an RSA. If Search Terms is empty because the campaign is Display or PMax, say so — do not fake a query table.

If the extra clicks were research queries, the table looks like this

Search Terms would add rows that were thin or absent last month: “how to inspect a used car”, “is 120k miles too many”, “used car negotiation tips”, “what is a cvt transmission.” Those rows would carry most of the +160 clicks and a CTR at or above the account average (curiosity clicks). Conversions / form_start on those rows would sit at 0 or 1. Landing page would be the homepage or a blog, not a CR-V SRP. In GA4, sessions for the campaign would rise ~40% with the click rise; form_start and generate_lead (if honest) would stay near last month; engagement time might look fine because people read the homework page. That pattern is evidence for the research-query hypothesis. It is not a conversion rate. If instead the new terms are “used cr-v frederick” and form_start rose but desk appointments did not, the leak is after the form — tracking or follow-up — not the query job.

You may describe what a table would show under a named hypothesis. You may not invent last-click ROAS, Quality Score, or a 3.2% conversion rate to make the memo look finished.

Exercise

Fill the expected Search Terms rows

Assume the extra 160 clicks were research. Write four Search Terms rows (term, likely landing type, clicks as “up vs last month” not a fake integer, form_start as 0–1). Then write one contrasting row that would support “commercial queries, leak after the form” instead.

Deliverable: Five-row expected table + one sentence on which GA4 event split you would open next.

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