Case studies
What the work actually looks like
Five engagements, written up honestly, across pharma, travel technology, healthcare, financial services, and higher education. We do not publish clients' commercial performance data, so these describe the problem, the approach, and what we found. In our experience that is the more useful part anyway.
Five engagements, written up honestly.
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Pharma · Clinical trial supply Finding pharma buyers in a market full of the wrong audience Search demand around clinical trials is dominated by patients, while the actual buyers are a small universe of sponsors and CROs. We built acquisition that filters for the few, across paid search and a production AI assistant. Paid search on lead qualitySEO and AI searchRetrieval AI assistant
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Travel technology Analytics a product team can actually trust Three analytics tools gave three answers, and a share of the traffic was never a person. We built the first-party event stream, layered bot-filtering cohorts, and self-serve reporting the team can audit. First-party event pipelineBot-filtering cohortsSelf-serve reporting
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Healthcare services · Israel One country, many local markets, one campaign programme Physiotherapy is chosen by proximity, so a national campaign is really dozens of local markets. We built it city by city, and first had to clean up 12+ overlapping conversion tags that were training the bidding algorithm on duplicates. City-level campaign structureConversion tracking cleanupSearch-term discipline
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Financial services · Israel Server-side tracking, migrated without breaking the numbers An expensive, considered category where measurement has to be right. We moved the account to server-side tracking and avoided the silent double counting that quietly ruins most migrations, verified in both directions. Server-side tracking migrationPaid searchSEO and content
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Higher education · Colombia Running a 17-campaign account without losing the plot A Colombian design and architecture university, in Spanish, in Colombian pesos. Seventeen live campaigns structured by intent, with Dynamic Search Ads used deliberately as a discovery tool rather than a set-and-forget campaign. Campaign architecture by intentDSA as discoveryStructural cleanup
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Recognise the problem?
If your category buries a small number of real buyers under a much larger irrelevant audience, or your own numbers are not telling you the truth, those are the two problems we solve most often.
