Growth · CRO · Lifecycle · Paid acquisition

I ship the work myself. Here's the proof.

Seven years owning growth execution end to end — paid acquisition, conversion optimisation, email and lifecycle architecture, and the reporting underneath all of it. Every number below comes from an account I ran myself, including the tests that failed.

See the case studies → About me

Five detailed write-ups, with screenshots and source data.

+81% more leads

From the same ad spend — and the result repeated on a second, separate test.

Mindvalley
1.5× → 4.9×

Return on ad spend after rebuilding an account that was barely breaking even.

Nap Chief
+23% revenue

On just 7% more traffic. The extra revenue came from converting better, not spending more.

Shaz & Kiks

Seven years building growth for

MindvalleyEmeritusProduct School upGradRTTNap ChiefShaz & Kiks
What I work on

Acquisition, conversion, and the systems underneath both.

I work across the whole funnel — buying the traffic, converting it, and building the measurement that tells you which half is lying.

01

Paid acquisition

Meta and Google campaign structure, creative direction off performance data, and budget allocation based on contribution rather than platform-reported ROAS.

  • Meta, Google, LinkedIn, Bing
  • $3M+ quarterly budgets managed
  • Full-funnel campaign architecture
  • Weekly creative testing and scaling
Brandslane · Product School · Emeritus
02

Experimentation & CRO

Hypothesis, test, read, decide. 100+ structured A/B tests across three funnels in eight months, each logged through to projected revenue — wins and losses both.

  • 100+ documented tests
  • Landing pages, sign-up flows, checkout
  • Test design and significance
  • Results read to revenue, not opt-ins
Mindvalley · RTT
03

Email & lifecycle

Branching funnel architecture with sequences triggered by behaviour rather than time — someone who reached the offer and someone who never showed get different messages.

  • Behaviour-triggered email, 3 programmes
  • Segmentation and send-time testing
  • 90+ metric daily reporting systems
  • GoHighLevel, Zapier, n8n
Mindvalley · RTT
04

Analytics & AI workflows

I build my own tooling and pull my own numbers. Cohort-aware attribution where revenue lags the click, and automation that removes my own bottlenecks.

  • GA4, Mixpanel, Amplitude, Looker
  • n8n competitor intelligence
  • ElevenLabs for evergreen assets
  • Automated reporting and alerts
Self-built
Results

Numbers from real accounts, not rounded up.

Every figure below comes from an account dashboard I had access to. The full stories are one click down.

+81%
More leads, same spend

And it repeated on a second independent test — which is the part that matters.

Mindvalley
4.9×
Return on ad spend

Up from the 1–2× the account was doing before I took it over.

Nap Chief
+509%
Growth in orders

₹1.29 Cr added in online revenue across ten months.

Nap Chief
+23%
Revenue on +7% traffic

Conversion did roughly twice the work that traffic did.

Shaz & Kiks
+173%
More sales per lead

By changing the webinar format, not the landing page everyone was staring at.

Mindvalley
$3M+
Quarterly budget managed

Across Meta, Google, LinkedIn and Bing — and I built the forecasting model underneath one business line of it.

Product School
Case studies

The full stories, with the screenshots.

What the problem was, what I tried, what happened — including the tests that didn't work.

EcommerceKidswearMeta ads

The account was barely breaking even. Ten months later it had added ₹1.29 Cr.

Nap Chief were getting 1–2× back on their ad spend — the level where paid media pays for itself and nothing more. The ads weren't the problem. There was nothing catching the people who browsed, added to cart and left.

4.9×
Return on spend
+509%
Orders
₹1.29 Cr
Revenue added
Read the story →
BEFORE AFTER 1–2× 4.9×
EcommerceHaircareUS market

Nobody in America knew what haldi was. So we taught them, and revenue rose 23%.

An Ayurvedic shampoo brand selling into the US. Product-led ads weren't landing, because the audience didn't understand the ingredient. We put the founders on camera explaining it — and traffic barely grew while revenue jumped.

+23%
Revenue
+16%
Conversion rate
~$7
Cost per customer
Read the story →
TRAFFIC +7% CONVERSION +16% REVENUE +23%
EdtechHigh-ticketA/B testing

100+ A/B tests on a $4,299 course funnel. One change nearly doubled sign-ups — twice.

Moving graduate testimonials above the sign-up form took the opt-in rate from 15.65% to 28.37%. Then a completely separate test on the same funnel produced the exact same 81% lift — which is how you know it was real and not luck.

+81%
More sign-ups
100+
Tests run
3
Funnels
Read the story →
TEST 1 15.65% 28.37% TEST 2 12.66% 22.91% +81% BOTH TIMES
EdtechFunnel designReporting

Built the funnel and the scoreboard that told us which half of it was lying.

Three premium programmes, a branching funnel with email that reacts to what people actually do, and reporting that tracked every step from ad click to money in the bank — including what payment plans really collect versus what they promise.

90+
Metrics tracked
3
Programmes
$4,299
Ticket price
Read the story →
VISITORSSIGN-UPS ATTENDEDSAW OFFER PAID
EdtechB2B + B2CPlanning

A $181K media plan that didn't need a best-case year to hit its number.

Inside a $3M+ quarterly account, I built the budget and forecasting model for one business line. The unusual part: leads bought a year after they arrived, so I measured returns across cohorts rather than calendar years — and set the annual target below the forecast on purpose.

$181K
Line modelled
5
Channels
4.8×
Programme return
Read the story →
MEASURED BY CALENDAR 4.8× MEASURED BY COHORT 6.2× SAME SPEND · CORRECT WINDOW
How I use AI

Systems that run without me, not prompts I paste in.

A few systems I built because the bottleneck in growth work is almost never ideas — it's the research and production time in front of them.

01

Competitor intelligence in n8n

Pulls competitor ad creative on a schedule, flags when positioning or angle shifts, and drafts copy variants against what it finds. What used to be a manual scroll through ad libraries and a blank document is now a queue of angles waiting for me to judge.

02

ElevenLabs for evergreen assets

Pre-recorded webinars go stale the moment an offer or a cohort deadline changes. Rather than re-record, I regenerate the affected segments with voice AI — so evergreen funnels stay accurate instead of quietly misleading people.

03

Reporting and anomaly alerts

Automated pulls into a single view, with alerts when a metric moves outside its expected band. The point isn't the dashboard, it's catching a problem on the day it starts rather than in a weekly review.

04

Where I don't use it

I don't ship AI output unreviewed, and I don't use it to decide what to test. It compresses research and first drafts. The judgement about what matters, and reading a result honestly, is still the job.

Ajay Chandnani
About me

Hi, I'm Ajay.

I've spent seven years doing one thing: making funnels convert better for brands in the US, UK, Europe and India. Ecommerce and edtech mostly — from ₹900 kidswear to $4,299 certification programmes.

I'm a hands-on operator rather than a strategist who hands over a deck. I do the work — build the campaigns, write the pages, run the tests, and pull the numbers underneath. I log the tests that fail alongside the ones that work, because a result you can't reproduce isn't a result.

I'm based in Mumbai and work with teams across time zones. Currently looking for growth, CRO or product marketing roles, remote.

Meta & Google AdsA/B testing Landing pagesEmail & lifecycle GA4 & analyticsAI workflows (n8n)
Get in touch

Currently open to growth, CRO and product marketing roles.

Remote from Mumbai, and used to working US or European hours. Happy to walk through any of the case studies above in more detail, or send the full write-ups as PDFs.

Email me → Connect on LinkedIn