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PivotAIB2B SaaS
Emerge → 42.ai
A B2C career discovery app that proved a new acquisition model — then pivoted into a B2B2C school career intelligence platform. From ₹4.25 Cr revenue on ₹21L spend, to a scalable institutional channel.
RoleProduct Manager (sole PM)
CompanyEmversity
Year2024
StackPostgreSQL · OpenAI · AWS S3 · Kafka/SQS · LeadSquared · React Native
The Problem
The core problem

Emversity was entering the student funnel too late. CAC had climbed to ₹1.2L per enrolment, driven by dependence on performance marketing, education aggregators (Shiksha, JustDial), and BTL campaigns — all competing at the 'course search' stage where differentiation was low and intent was already diluted by competitors.

Students in grades 11–12 form career preferences months before admission season, but no product engaged them during this discovery window. Meanwhile, the only career counselling options in the market charged ₹2,500–₹5,000 per report — pricing out most students and building no brand affinity for Emversity.

The strategic reframe: career discovery itself could be the acquisition product. Not a marketing gimmick — genuine value. Help students understand themselves first, position Emversity contextually as a pathway provider, and capture demand before it enters the competitive admission funnel.

The Solution
Building intelligence
Emerge was launched as a free psychometric-based career counselling platform — deliberately differentiated from scholarship tests and rank predictors common in the market. Built and shipped as an end-to-end MVP in 6 weeks.
01
Psychometric assessment
RIASEC-based structured tests mapping student aptitude, interests, and learning style. Free, no gating.
02
Career report + counselling
Personalised reports formed the foundation of in-person counselling at Emversity centres. Non-promotional by design.
03
Funnel integration
Reports pushed into LeadSquared. Counsellors trained to use them as career conversation tools, not sales pitches.
Implementation Flow
Launch approach: School & coaching centre partnerships → on-ground counsellor outreach → digital campaigns on 'Free Career Counselling' (not admissions). Metrics-gated expansion, not roadmap-led.
Product Interface
Emerge → 42.ai interface 1
Emerge → 42.ai interface 2
Emerge → 42.ai interface 3
Emerge → 42.ai interface 4
Emerge → 42.ai interface 5
Emerge → 42.ai interface 6
Emerge → 42.ai interface 7
Impact at a glance
EMERGE RESULTS (B2C MVP)
18,307
Total leads generated
from a single product
₹4.25Cr
Revenue generated
BVoc AOV ~₹3.7L
5,000+
Psychometric test takers
genuine engagement
1,000
Counselling sessions booked
physical appointments
~5%
Effective CAC
one of lowest acquisition channel
115
Enrolments from Emerge
vs zero from this channel before
86%
Call connect rate
high-intent leads
THE PIVOT
When distribution becomes
the product constraint
Emerge had strong product-market fit — but a hard distribution ceiling. Schools owned what we needed: long-term student access, built-in parent trust, and CBSE-mandated career counselling demand.
BEFORE — EMERGE
B2C

Free Career Counselling App

  • Students reached 1:1 via digital campaigns, school outreach, and BTL
  • Physical counselling at Emversity centres — offline conversion required
  • One student at a time. Scaling required proportional acquisition spend
  • Point-in-time assessment — no longitudinal data, no cohort intelligence
Ceiling hit
Distribution was the constraint, not product value
PIVOT
AFTER — 42.AI
B2B2C

School Career Intelligence Platform

  • One school = hundreds of students. Built-in parent trust, zero paid acquisition
  • CBSE-mandated counselling creates institutional pull — schools come to us
  • Multi-stakeholder: students, parents (Zuno), counsellors, school admins
  • Longitudinal cohort data — same RIASEC engine, now generating school heatmaps
Unlocked
100+ schools target · 50K+ students/year · sub-₹2.5 per report
42.ai preserved the RIASEC scoring engine and rebuilt the experience for four stakeholders: students (assessments + reports), parents (Zuno dashboard), counsellors (workspace + insights), and school administrators (cohort heatmaps). Target: 100+ schools, 50K+ students/year, sub-₹2.5 per report.
My Role
End-to-end ownership

Sole PM end-to-end across both phases. Diagnosed the structural CAC trap — Emversity entering the funnel too late, competing on price instead of trust. Made the call to make counselling free when the market was charging ₹2,500–₹5,000. Defined MVP scope and launched in 6 weeks. Validated success through CAC and revenue metrics, not app ratings or DAU. Then drove the B2C → B2B2C pivot — reframing the product from a standalone consumer app into a scalable institutional platform aligned with school incentives, CBSE mandates, and longitudinal data value.

Key Learnings
What this taught me
01
Free is a strategic price, not a compromise Removing the ₹2,500–₹5,000 barrier was the single biggest unlock for distribution and trust — and it still generated ₹4.25 Cr in downstream revenue.
02
Product-market fit is necessary but not sufficient Emerge had genuine value and strong engagement metrics, yet hit a distribution ceiling. The pivot taught me that GTM architecture matters as much as product quality.
03
Sunsetting a working product is a valid product decision Recognising that Emerge's B2C model had structural limits — and rebuilding as 42.ai — required treating the data and learnings as the asset, not the app itself.
04
Institutional distribution compounds One school partnership = hundreds of students, built-in credibility, and longitudinal data. B2B2C dramatically changes the unit economics of a consumer EdTech product.
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