Google Ads Case Study: 1.39K Conversions for Gauld Vein

Ad examples

Meta ads for a pain-free vein screening. Auto-scrolls - hover to pause.

The situation

Gauld Vein & Vascular was already a steady clinic. The visit is a doctor appointment, and the ticket is high. Extra leads only help when they are people who will book that screening. Curious clicks fill the calendar and then fail to qualify.

The ads in the files speak to heavy, swollen, or tired legs, and to leg pain, restless legs, and aching. The offer is a pain-free vein screening at gauldveinandvascular.com. The cities on the ads are Marietta, Buckhead, and East Cobb. The Google Ads account name includes Dr. Anand Parikh.

The insight

Search intent was the filter. A person typing a vein symptom is closer to a screening than a person scrolling past an ad. The account was built on Google for that reason. The keyword list had to stay on symptoms and screening, and it had to be watched after launch, not only on day one.

What we deployed

We kept an active keyword list on screening and symptom intent, and we kept broad curiosity terms off it. A person reading about a vein condition with no plan to book is a different query from a person looking for a screening in Marietta, Buckhead, or East Cobb. The list was built to prefer the second one.

A script monitors every search term that spends, day by day through the week. Once a week it splits the accumulated list into two tiers, high-performing and low-performing, and that split is the optimization menu. High-performing terms are the ones still tied to appointment intent. Low-performing terms are the ones that draw curious clicks and do not become a doctor visit. The script does most of the sorting. The buyer works the two lists each week instead of re-reading the whole account.

That menu is the overview. It is not a separate report written by hand after the week is over. The week closes with the two tiers already separated, which is what made a steady clinic movable without flooding the doctors with unqualified bookings.

Meta ads in the files carry the same screening offer. Google is the channel this engagement was built around. The weekly split is the same automation used on the other Gauld account and on Sona. This page is only the vein practice.

Search-term sorting like this sits under AI automation. The media plan sits under paid advertising. Other studies are on the case study index.

Results

Google Ads, May 31, 2023 through May 18, 2025: 1.39K conversions, 11.9K clicks, $16.34 cost per conversion, and $22.6K cost. The screenshot has no prior period, so this page does not claim a lift.

Why it worked

The wrong click costs a doctor slot The clinic did not need a bigger top line of clicks. It was already busy enough that the wrong appointment crowded out a real one. A high ticket makes that wrong click expensive twice: once in media cost, and again in a doctor slot that did not need to be opened. Search intent was the way to ask for more bookings without asking for more tire kickers.

The keyword list had to stay active The active keyword list is what held that line after the first build. New queries show up every week. Without a pass on them, a steady account drifts back toward cheap curiosity. The daily read is there so a new term does not sit unseen until the monthly review.

New terms were caught while they were small The keyword list was not a one-time setup. Daily and weekly passes caught new queries while the spend on them was still small.

The two-tier menu made the review binary Terms that were earning appointments stayed. Terms that were not earning appointments moved to negatives or a rewrite. That is the automation on this account.

← All case studies · Related service →