Student and sales data from your online academy in one place
If you run an online academy with a sales team, what you need is to bring your ads, CRM, payments and course platform into one place, and to be able to ask which campaign brings in paying students, which sales rep converts best or in which module students drop off. That's what we build: every lead with its source from start to finish, and an AI that answers with your numbers.
Hundreds of leads a month, and nobody knows which ones ended up paying
Ads bring in contacts, the CRM assigns them, sales reps call, payments go through another system and the student ends up in the course platform. Each step stores its part, but none of them knows what happened in the step before.
The result is that you know how many leads come in, but not which ones turn into paying students, or which campaign they came from. In one academy we work with, one in three leads reached the CRM without knowing where it came from. With that gap, deciding which ad gets the budget is a shot in the dark.
The same happens inside the course: who stops logging in, in which module, and which students have a payment pending this month.
What we bring together in one place
- Ads
- CRM and sales calendar
- Payment gateway
- Course platform
- WhatsApp and calls
- Commissions spreadsheet
The questions you could ask your data
“Which campaign brings in paying students, not just leads?”
It follows each lead from the ad to the payment and tells you which campaigns end in an enrolment.
“Which sales rep converts best, and with what kind of lead?”
It crosses each rep's calls and appointments with closed sales and the source of each lead.
“Which leads have gone more than 48 hours without a call?”
It checks the CRM and the calendar and lists the contacts going cold, with who they're assigned to.
“In which module are we losing students?”
It reads each student's progress on the course platform and shows you where most of them stop logging in.
“Which students have a payment pending this month?”
It matches payments with enrolments and flags failed instalments before the student drops out.
“How is this launch doing compared with the last one?”
It compares leads, appointments, sales and sources day by day with the previous launch.
How it works, in three steps
- 1
We bring your data into one place
We connect your ads, CRM, payments and course platform and organise what each one stores, so a sale, a customer or an hour of work means the same thing everywhere. Your programs stay as they are and your team keeps working the same way.
- 2
We check that the numbers add up
Before showing you anything, we cross-check the figures against your own programs and your accounts. If something doesn't match, we find it and explain why. Deciding with a wrong number is worse than not having one.
- 3
You ask it like you'd ask a trusted manager
You type the question in your own words, from your phone or computer, and the answer comes back with your numbers and where they come from. Each person sees only what concerns them: the owner sees everything; a manager, their location or branch.
A real case
An education academy that stopped losing track of where its leads came from
An academy with a sales team received hundreds of leads a month from ads. They reached the CRM unqualified and, in one in three cases, without knowing which campaign they came from.
Today an AI voice calls every lead as soon as it comes in, qualifies it and books the appointment in the sales rep's calendar; more than 3,500 calls made this way. Leads with an unknown source fell from around 35% to under 3%, and management sees the whole funnel, appointments and commissions up to date.
Frequently asked questions
Do I have to change my CRM or course platform?
Your tools stay as they are. We bring each one's data together somewhere else, and when a tool falls short, we build the missing piece to measure.
Does it work for an academy without a sales team?
Yes. If you sell straight from ads, the key question becomes which campaign brings paying students and how many finish the course, and that comes from crossing ads, payments and the platform.
How do you know which ad each student came from?
By saving the source the moment the contact comes in and carrying it all the way to the payment. In the academy we work with, that brought leads with no known source down from around 35% to under 3%.
Does the AI call the leads?
It can: an AI voice that calls as soon as the lead comes in, qualifies it and books the appointment in the rep's calendar. It's an optional piece; the first step is having the data together and reliable.
Who can see the data?
Each person logs in with their own user: management sees everything; each sales rep, their leads and commissions.
What happens in the 30-minute diagnosis?
You tell me how your leads come in, which tools you use and what you'd like to know every week. I show you which questions you could answer with that data and where we would start.
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