More leads
More qualified traffic and prospecting: more people enter for the same investment.
Nutritionists lose money in two ways: the lead who asks for the consultation price and disappears, and the patient who has the first consultation and doesn't renew the follow-up. Without monthly return, there is no result or recurrence. The bucket leaks in converting the interested party into a patient and in retaining those who need to return to adjust the plan.
Typical nutritionist numbers. Adjust with yours.
Everything starts from your real revenue per client, the LTV. Four numbers you already have:
A structured sales engine moves three levers at the same time. Since they act on the same account, the effect does not add up: it multiplies.
More qualified traffic and prospecting: more people enter for the same investment.
Response in minutes, follow-up that doesn't fail, and AI answering after hours.
Relationship and base reactivation: the same client buying again.
The size of each step depends on where you are starting from: those who already use a good CRM with AI have less to gain (20% per lever) than those who don't use any CRM yet (30%). That is why the calculator asks for your current situation, and it is the only place where an estimate is entered.
In MMV, the interested party enters the pipeline and the cadence demands the booking of the first consultation, while the active patient receives a return reminder to sustain recurrence. AI answers prices and removes objections on WhatsApp, and follow-up works on both conversion and retention of the follow-up.
Pipeline separating interested party, first consultation booked, and patient in follow-up, with cadence to convert the new lead and retain those who need to renew the return.
Integrates form, WhatsApp, and calendar, triggers monthly return reminders, and reactivates patients who abandoned follow-up.
AI agent that responds 24/7, informs consultation prices and packages, breaks objections about diet, and books the first evaluation without occupying the nutritionist.
Builds conversion flows for the first consultation, return reminders, and reactivation specific to nutritional follow-up.
Reactivation of patients who stopped follow-up and prospecting those who demonstrated interest in weight loss, hypertrophy, or dietary re-education.
Content and ads about results and diet myths that bring the interested party to the evaluation form with the goal already declared.
Tracked form that captures the goal (lose weight, gain mass, health) and routine, qualifying and opening the registration with the patient's focus.
Speed-to-lead responding to the interested party in minutes, breaking the price objection, and booking the first consultation before they go cold. Structured follow-up reminds of the monthly return to sustain recurrence and reactivates those who abandoned, with direct contact on follow-up packages.
Captures searches like 'online nutritionist price', 'how much does a nutritionist consultation cost', and 'nutritionist for weight loss', with answer-first content answering prices, follow-up format, and expected results right at the beginning to rank and be cited by ChatGPT and Google AI Overviews.
Frequently Asked Questions, Nutritionist
Kommo puts each interested party in a pipeline, and AI answers prices and objections on WhatsApp immediately, booking the first consultation before the lead goes cold. The cadence follows up with those who asked for information and disappeared, recovering interested parties who today become competitors due to lack of quick response.
Yes, and that's where the biggest gain is. The system marks the return date for each patient and triggers an automatic reminder to sustain monthly follow-up. Those who abandon enter a reactivation flow, maintaining the recurrence that ensures results for the patient and predictable revenue for the nutritionist.
It works for both. The AI agent attends and books 24/7 regardless of the format, and the CRM organizes online and in-person patients in the same pipeline. The form already captures the patient's goal, and the return and reactivation automations run the same, ensuring conversion and recurrence in both service models.