The supplied case-study screenshot describes a new podiatry account built from limited initial data using a traffic-first learning phase, tightly controlled keyword coverage, budget protection, conversion tracking and landing-page fixes.
The account began without a mature Google Ads data history. The immediate task was to gather useful search and conversion evidence without letting a new campaign spend indiscriminately.
The supplied case-study screenshot describes a new podiatry account built from limited initial data using a traffic-first learning phase, tightly controlled keyword coverage, budget protection, conversion tracking and landing-page fixes.
The funnel uses only the metrics supplied for this case. Where booked-job data is unavailable, it is not invented.
The account is judged from spend and traffic through to the strongest downstream signal available in the source.
Platform activity is useful only when it helps explain what produced commercially relevant demand.
A brand-new campaign had little conversion data for automated optimisation.
Healthcare search can broaden quickly into irrelevant or informational traffic.
Early spend needed guardrails while the account learned.
The campaign needed dependable tracking before judging lead economics.
The source explicitly notes landing-page fixes as part of the build.
Useful enquiries depended on matching the searcher to the right service and action.
This section explains why the account changed, not every setting that was touched.
Use an initial learning phase rather than forcing aggressive automation before the account has enough signal.
Keep search coverage focused around relevant podiatry demand.
Avoid scaling until measurement and conversion paths are reliable.
The work is grouped into the parts that changed the account's signal quality, search coverage or conversion path.
Gathered initial query and engagement data.
Tightened search coverage around relevant service intent.
Used campaign controls to reduce avoidable early-stage waste.
Improved conversion tracking and landing-page experience before further scale.
Where a case has confirmed-booking or client data, that feedback should sit closer to bidding. Where it does not, the page is explicit about the limit.
These figures are taken from the supplied case-study material. No missing booked-client or revenue metric has been inferred.
The screenshot also outlines a traffic-first foundation, tight keyword framework, budget protection, conversion tracking and landing-page fixes.
The strongest evidence available from the screenshot is a new account producing 95 recorded conversions from 918 clicks at a reported $1.97 average CPC and roughly $1.8K spend. No booked-patient or revenue attribution is visible, so the public case study does not claim it.
A Free Health Check gives you a practical starting point before committing to a larger Google Ads project.