For premium bootcamps, institutes & EdTech companies

High enquiry volume. Low enrolment rate.
The gap is in the follow-up, not the programme.

Premium education companies generate significant inbound interest — from organic search, referrals, and paid campaigns. Most of that interest dies unanswered in an inbox or is worked inconsistently by an under-resourced admissions team. We install the AI qualification, multi-touch follow-up, and attribution systems that turn enquiry volume into enrolled students — and tell you exactly which channel produced each one.

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The pattern we see

The programme is excellent. The enrolment funnel around it is broken.

01

Enquiries arrive. Replies don't.

Hundreds of form fills, WhatsApp messages, and website chats sit unworked for hours. By the time admissions replies, the prospect has found a competitor who picked up immediately.

02

Follow-up is one email and hope.

The admission team sends one message. If the prospect doesn't reply, the lead is considered dead. No multi-touch sequence. No structured cadence. No recovery flow.

03

Marketing spend is unattributed.

Money is going into Google, Meta, LinkedIn, and content — but nobody knows which channel is producing enrolled students. Budget decisions are made on gut feel or the loudest channel rep.

04

Admissions is reactive, not systematic.

The admissions team works whoever responds. There's no scoring, no prioritisation, and no view of the full pipeline. High-intent prospects get the same attention as tyre-kickers.

What we install

Three engines built for high-volume, high-value enrolment funnels.

A hand holding a smartphone with a chat conversation open — an admissions query replied to within seconds

Conversion Engine

Instant AI response, qualification by programme fit and intent, lead scoring, and multi-touch follow-up sequences. High-intent prospects are routed to a human counsellor with full context. Low-intent prospects are nurtured automatically until they're ready.

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A laptop showing an analytics dashboard — ad spend tracked from source to enrolled student

Growth Engine

Full attribution from lead source to enrolled student — Google, Meta, LinkedIn, organic, referral, all in one dashboard. Underperforming channels identified and cut. Budget follows data, not assumptions.

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A laptop screen showing a workflow — admissions pipeline, follow-up cadences, and enrolment reporting automated

Operations Engine

Admissions pipeline in one place, automated cadences, scholarship and deadline reminders, intake batch planning, and enrolment reporting the leadership team can actually use to make decisions.

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Example engagement

A typical 10-week install for an education company.

  • Weeks 1–2 · Discovery. We audit current lead sources, admissions response time, follow-up cadence, and enrolment reporting. We map where interest is being generated and where it dies.
  • Weeks 2–3 · Design. Qualification script, scoring criteria, follow-up sequence, and attribution model designed and approved by admissions leadership.
  • Weeks 3–10 · Build. AI qualification layer live, follow-up sequences running, attribution dashboard built, CRM and pipeline installed, admissions team trained.
  • Ongoing · Run. Monthly review of enquiry-to-enrolment rate, source attribution, and counsellor productivity — with clear actions each cycle.
In production · education

A New Delhi test-prep institute, in the founder's own words.

ePrep Global
GMAT, GRE, IELTS & English coaching · New Delhi
Live
As the founder of ePrep Global, I had reached a point where our academic ambitions exceeded our operational capacity… AcquihireTech approached this not as a software installation, but as an operations redesign. Today, student onboarding, fee collection, timetables, teacher allocation, digital content delivery and student queries are governed by clear, AI-assisted workflows.

I would have no hesitation recommending AcquihireTech to any coaching or education institution that recognises its operational ceiling and wants a thoughtful, AI-native way to move beyond it.
Sonal Darra Founder, ePrep Global Signed statement, July 2026
~5 staffnot needed for the same load
Feesset once, chased automatically
Timetablescentral, conflict-detected
Queriesrouted, not scattered

Headcount figure is the founder’s own estimate of administrative load absorbed by automation — hiring avoided, not roles removed.

Read the full ePrep Global case study →

Ready to close the gap between enquiry and enrolment?

Start with a free Systems Audit.

We'll map your full admissions funnel and show you exactly where the highest-intent prospects are being lost — and what one change would compound the most.

Start a free Systems Audit