Teardown: 25 clinics, 5 signals and a campaign hypothesis
An editorial simulation of how a team could analyse 25 local clinics, identify sales signals and develop a campaign hypothesis.

In this guide · 6 sections
Editorial note: this teardown is a simulation. It does not describe a real case, use private data or represent results achieved by a specific company. The aim is to show how a sales or marketing team could think through the analysis of a small group of local clinics using public data and observable signals.
Imagine an agency, consultant or sales team that wants to sell services to clinics in a medium-sized city. The easiest mistake would be to search for clinics, copy 25 contacts into a spreadsheet and send the same message to all of them.
A better approach is to treat the initial list as raw material. The 25 clinics are not yet ready-to-contact leads. They are companies to observe, compare and qualify.
The initial hypothesis
Let us assume a simple commercial hypothesis:
Some local clinics have enough digital presence to attract demand, but poorly structured response channels and content. A campaign combining a digital presence assessment, improvements to Instagram and a WhatsApp response workflow could generate qualified conversations.
This hypothesis connects three areas: research and segmentation with the Commercial Explorer, a review of Instagram presence and continued contact through the WhatsApp Agent.
The sample
The team starts by defining an area and a category: dental clinics, physiotherapy clinics, aesthetic clinics or private medical centres.
In the Commercial Explorer, the team would create a list by region and category, recording each clinic’s name, location, website, telephone, visible social channels, field of activity and qualification notes.
The question changes from “who has a telephone number?” to “who shows signs that a consultative approach might make sense?”
Five sales signals
1. The website exists, but does not lead to bookings
A website can be online and still do little to help convert interest. The team would look for a booking button, a simple form, visible contact details, service-specific pages and clear messages.
2. Active Instagram, but no sales sequence
Many clinics publish informative content and behind-the-scenes updates. This can build trust, but does not always lead to a conversation. The Instagram Agent comes in when there is activity but a lack of structure.
3. WhatsApp appears as the main channel
When WhatsApp is the most visible channel, the operation needs fast responses, triage and consistency. The clinic may receive messages about opening hours, prices, specialities, insurance and availability.
4. A clear speciality, generic communication
A clinic may have a strong speciality but communicate like every other clinic. If they all sound the same, the campaign loses strength.
5. A good location, limited use of local opportunities
Clinics depend heavily on proximity. A clinic near businesses, schools, gyms or residential areas can develop partnerships and local campaigns.
Turning signals into segments
After the analysis, the 25 clinics could be organised into five segments:
- Weak digital presence.
- Active content without conversion.
- WhatsApp as the main entry point.
- An underused speciality.
- Potential for local partnerships.
This segmentation avoids a single campaign for everyone. The team can write five variations of the approach, each with a concrete reason.
The campaign hypothesis
The campaign could be called “Local Patient Acquisition Assessment for Clinics”.
The promise would not be “we will increase your customer numbers quickly”. A better promise:
In 30 minutes, we identify where enquiries fall through the gaps between local search, Instagram and WhatsApp, and provide three priority improvements to attract and respond to appointment requests more effectively.
The campaign would have three elements: a simple page, an initial email or message for each segment, and a WhatsApp response workflow for those who ask for more information.
Precautions
There is a difference between using public data to prepare an approach and turning it into intrusive contact. The message should be relevant, short and respectful. Subscriptions to Sinal do Radar, recurring resource delivery and automated communications should respect consent and applicable rules.
It is also important not to state diagnoses that have not been verified. “Your WhatsApp is losing bookings” is an accusation. “We can review whether your WhatsApp workflow helps or hinders appointment requests” is a professional hypothesis.
This teardown shows a way of thinking, not a magic formula. Before selling, observe. Before automating, segment. Before talking about a tool, formulate a useful hypothesis for the business.