One warehouse for inquiries, consultations and bookings,
and real conversion per source market
Ad spend sits in one dashboard. Inquiries live in a messaging app. Booked procedures sit in a CRM or a spreadsheet nobody fully trusts. That makes it hard to say which source market and channel actually produces booked patients. We connect it all into one warehouse and give you the real conversion numbers per market and channel.
Why the best market is not the loudest one
A medical tourism agency typically tracks ad spend in the ad platform’s own dashboard. Inquiries sit in WhatsApp or a shared inbox. Bookings sit in a CRM or spreadsheet. These three systems were never designed to agree across source markets and currencies. An agency deciding where to spend the next ad dollar is often deciding on inquiry volume alone. It has no way of knowing which source market’s inquiries actually turn into booked procedures.
Response time is the deeper gap. This category’s own industry data treats it as one of the largest levers on conversion. Yet most agencies have no system connecting how fast a specific inquiry was answered to whether it converted. Without that join, response time stays a vague priority instead of a measured one.
Averaging across source markets causes a third problem. A market producing a high volume of cheap inquiries can look like the best channel in an ads dashboard. It can actually convert far below a smaller, more expensive market. That distinction disappears the moment the numbers get blended into one total.
A fourth problem is the long, multi-touch path typical of this category. A patient may see an ad weeks before finally messaging, after visiting the site several times in between. Most simple attribution setups credit that entirely to whichever touchpoint happened last. That undervalues the content that actually built the trust needed to reach out at all.
What the warehouse actually tracks
A warehouse joining ad platforms, inquiry channels and CRM. Meta and Google Ads on the spend side. WhatsApp and your site chat for inquiries. Your CRM or spreadsheet for consultation and booking stages. All reconciled into one database with a daily sync.
A full funnel from inquiry to consultation to booked procedure. Broken out by source market and channel. You see exactly where a specific market’s funnel is actually losing patients.
Response-time tracking joined to conversion. The effect of answering faster becomes a measured number for your agency, not an assumption borrowed from an industry benchmark.
An AI analyst for ongoing questions. Ask it in Telegram which source market converted best to booked procedures last quarter, and it answers with the query it ran.
Typical integrations are Meta and Google Ads, the WhatsApp Business API, and your CRM, synced daily with historical backfill.
What stays with your team
The AI analyst’s access excludes patient-identifying fields by design. Any decision about which markets or partner clinics to prioritize stays with your team. The warehouse surfaces the numbers. People make the calls. A judgment about why a specific market underperforms, whether it is cultural fit, a weak local partner or a pricing mismatch, needs context the data alone cannot provide. We say so rather than overstating what the dashboard can explain on its own.
What it costs
| Model | Price | What you get |
|---|---|---|
| Agency runs it | from $2,500 | We build, sync and maintain the warehouse and dashboards |
| Full control, handover-ready | from $3,500 | Same build, full source code, documentation and the warehouse schema transferred, paid edits available as an option |
Both run on the same 3 to 6 week build.
Where this fits next
Pair this with an AI agent for medical tourism agencies, so inquiry and response-time data feed the same warehouse. Or a website for medical tourism agencies, if the inquiry funnel itself needs fixing first. See the full analytics service page. A two-brand warehouse with an AI analyst is in the analytics hub case study. Get in touch and we will reply with a fixed price and plan.
FAQ
How much does this cost and what do we get for it?
From $2,500 for a warehouse connecting your ad platforms, inquiry channels and CRM, with dashboards on conversion and cost per source market. An AI analyst layer on top is $5,000 and up. A tracking audit alone starts around $800.
How long does it take?
3 to 6 weeks for the warehouse and dashboards. Adding the AI analyst extends that to 6 to 10 weeks.
Which platforms and systems do you connect?
Meta and Google Ads on the spend side. WhatsApp and your site chat for inquiries. And amoCRM, HubSpot or a spreadsheet for consultation and booking stages.
Can it show which source market actually converts best, not just which sends the most inquiries?
Yes, that is the main point. A market sending the most inquiries is not always the one producing the most booked procedures, once response time and consultation show-rate are accounted for.
Can an AI analyst really be trusted with real patient inquiry data?
It runs read-only SQL on a prepared data mart, one query at a time, with forced limits. It shows the query it ran rather than giving a black-box answer. Patient-identifying fields are excluded from what it can access by design.