[ Case study ]
Search ads for a technical product landed on pages written for CIOs while the clickers were infrastructure engineers — proof sections answered the wrong questions, demos booked from ads churned in qualification, and cost per qualified demo climbed.
CLIENT an enterprise IT-management vendor — FOCUS Write for the engineer who reads the ad
Representative examplesEvery case study in this library is an illustrative composite of the kind of engagement we deliver — written to show our method and standards, not to name clients.
Field sales feeds this enterprise IT-management vendor's pipeline, and paid search is where the feeding starts. The product is deeply technical — deployment, integrations, day-one behavior — but its marketing pages had been written for a CIO audience from an earlier era. Marketing ran paid acquisition with a small in-house team; sales ran a fixed qualification script that had not changed in years. The two functions shared a CRM but not a language: sales described leads in qualification terms the paid team never saw, and the paid team described performance in click terms sales did not trust.
Search ads for a technical product landed on pages written for CIOs while the clickers were infrastructure engineers — proof sections answered the wrong questions, demos booked from ads churned in qualification, and cost per qualified demo climbed.
Restructure the pages around the practitioner's questions — how it deploys, what it integrates with, what it does on day one — with the executive framing moved below, not deleted. Dynamic text replacement carries each search query's intent into headlines and proof points, using only the legal-approved claim register, re-weighted rather than rewritten. The demo form asks the two questions sales actually qualifies on, and the answers write straight into the CRM, so a demo arrives pre-scored against the existing bar instead of restarting the argument about what qualified means.
Just as important is what we ruled out, and why:
Pages were restructured around the practitioner's questions — how it deploys, what it integrates with, what it does on day one — with executive framing moved below.
Search terms matched into headlines and proof points per ad group, so the page continues the searcher's sentence.
The demo form asked the two questions sales actually qualifies on, keeping completion flat but quality up.
Delivered by the growth pod — strategist over 6 weeks, with working increments reviewed with the client every week.
Obstacle
Our first form draft guessed the qualifying questions, and the sales director rejected two of the fields in review as things his team never asks.
Handled: We rebuilt the form from a week of the reps' actual qualification notes — the questions that really decide demos — and re-ran legal on the slimmer set, which approved faster.
Obstacle
DTR exposed a keyword gap: the highest-intent search terms used a category name legal had never approved for page copy.
Handled: We mapped the category term to the nearest approved claim phrasing for launch and added the exact phrase to legal's next batch, rather than improvising it live.
The headline: cost per qualified demo across the quarter versus the prior quarter — −34%, read from Paid platform plus CRM qualification data. A second check: demo completion rate (booked → held) at +22%.
The feud ended in the least dramatic way possible: the numbers agreed. Sales sees demos arrive with the two answers they qualify on already filled in, and no-shows stopped being a forecast line item. The paid team budgets against qualified demos, which changed what they are willing to bid on. Engineers land on a page that answers the first three questions they were going to ask on the call, so the calls start closer to evaluation than explanation. Nobody won the argument — the page simply stopped being in it.
The result was read from Paid platform plus CRM qualification data against the pre-engagement baseline over the stated window, with a guardrail check on demo completion rate (booked → held). Where platform-reported numbers and business outcomes differ, this record says which layer it is quoting.
What we would do differently
We would have involved the sales team's qualification notes from day one — the two qualifying questions came from their call notes, not our guess.
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