▲ Growth marketing for D2C apps

Your next growth opportunity is hiding in plain sight.

Scale your D2C app with sharper data accuracy, experiment frameworks and creative testing playbooks.

Book a consult call See how I work

2 project slots open. I reply within a day.

57% lower cost per purchase
18% to 33% install to purchase rate
100+ creatives tested

Figures from one anonymised D2C client. See the case study · Multi-million-dollar ad budgets on Meta, Google and TikTok

Data clarity
Signal confidence
Smarter spend
Creative testing
Compounding growth

The budget keeps growing. The clarity doesn't.

Spending more rarely fixes that. Trusting your numbers does.

Step 01

Diagnose the measurement

Before a rupee of budget moves, I make every number in your stack agree with every other number.

What happens One to two weeks inside your data. I check every place a number gets created or passed along: the SDK, the MMP, each ad platform, the warehouse, the dashboards.

Method Event by event parity checks. MMP to channel reconciliation. Purchase de-duplication. Rebuilding the metric definitions that don't hold up.

You end up with A short written diagnosis. What's broken, what it's costing you, the fixes ranked by impact, and the fixes actually done.

See a real example

On one subscription account the MMP and the ad platform disagreed on spend by 6x. It turned out to be three things at once: a reporting bug, a value vs value_2 mismatch in the SDK, and purchase events firing twice. All fixed inside a day, before more budget went to the wrong place.

Event parity · SDK ↔ MMP ↔ Ads

installmatch

purchasesources disagree

purchase (dupe)fires twice

revenue valuevalue / value_2

Reconciled after the SDK fix and dedupe

Step 02

Reallocate the spend

Once the numbers hold up, budget moves off what's quietly losing money and onto what actually converts.

What happens I read cohort, geo and placement performance, then rebuild the account so spend follows real returns instead of whatever last click happens to flatter.

Method Cohort and geo analysis. Test, Legacy and Creative Test campaign structure. Audience and geo exclusions. Scale and pause calls on a set weekly rhythm.

You end up with A restructured account, a weekly reallocation habit, and a lower cost per outcome. Usually visible inside the first month.

See a real example

At one publisher I moved spend off underperforming geos and cohorts and split the account into Test, Legacy and Creative Test. Cost per purchase dropped 43% and funnel ROAS rose 30%. When the numbers said stop, I took a $14K a day account back to $4K a day to stabilise it before scaling again.

Budget map

Before, even and leaky

After, weighted to winners

proven test budget cut

Step 03

Turn the winner into a playbook

A result you can't repeat is luck. When something works I write down why, so your team can run it without me.

What happens I isolate the variables that actually drove the win and turn them into a named creative formula with a testing loop around it.

Method Hook and format testing across UGC, AIGC and static. Demographic segmentation. Variable isolation. Then writing the winner up as a brief anyone on the team can pick up.

You end up with A creative playbook and a testing system that keeps producing winners after I'm gone.

See a real example

A real-money skill gaming app had no working creative and no baseline to work from. After twenty-odd batches I codified the winner: UGC, gameplay first, an anti-scam hook, a small believable win, and payment proof. Cost per purchase improved 57% and install to purchase went from roughly 18% to over 33%.

The winning formula

UGC Gameplay first Anti-scam hook Small believable win Payment proof

Written up as a one-page brief the team reuses.

Read the full case study

Let’s find where your growth is hiding.

Free 15 minutes. No deck. You’ll leave with at least one thing worth checking this week.

Book a consult call Or start with a paid audit

Who is a good fit

A good fit

Consumer apps in gaming, fintech, subscriptions or D2C that are past product-market fit, already spending real money on Meta, Google or TikTok, and tired of guessing which half is working.

Industries and problems I’ve worked across

Mobile GamingReal-Money Skill GamingWeb3 & Crypto GamingFintechSubscription AppsD2CPuzzle & Casual GamesHyper-casualRewards AppsMobile GamingReal-Money Skill GamingWeb3 & Crypto GamingFintechSubscription AppsD2CPuzzle & Casual GamesHyper-casualRewards Apps

User AcquisitionAttribution & MMP SetupCreative TestingCohort AnalysisCAC / LTV ModelingGoogle App CampaignsMeta AdsTikTok AdsRetention & ChurnIncrementalitySKAN / iOSBudget ReallocationMarketing AnalyticsAI Reporting WorkflowsUser AcquisitionAttribution & MMP SetupCreative TestingCohort AnalysisCAC / LTV ModelingGoogle App CampaignsMeta AdsTikTok AdsRetention & ChurnIncrementalitySKAN / iOSBudget ReallocationMarketing AnalyticsAI Reporting Workflows

What our partners have to say

“A great problem solver with an eye for detail, always willing to share what he knows. I highly recommend Mandar for any project or opportunity that comes his way.”

Mohit Sardana

Blitz Growth Inc.

“He was instrumental in driving significantly improved results through a willingness to pivot and implement sharp, data-driven shifts in strategy.”

Regina Zdravkovic

“He backs his ideas with data, and is genuinely good at solving problems. I always appreciated his approach to growth.”

Abhishek Shetty

About

Growth marketer for D2C and subscription apps. Measurement first, hands on.

I did my MBA at IIM Kozhikode and have spent the last couple of years running paid growth across more than fifteen app and subscription accounts. I work inside your ad accounts, your MMP and your raw data rather than from a slide deck. And I'll tell you when the numbers say stop.

Meta Certified Media Buying Professional
Google Ads Certified
IIM Kozhikode MBA
SRCC B.Com (Hons)

Campaign Manager 360Google Analytics

What I do, the full list

Attribution and measurement. SDK and event debugging, MMP reconciliation, metric design.
Media buying and scaling. Meta, Google App Campaigns and TikTok, with cohort-based reallocation.
Creative testing systems. Hook and format tests turned into formulas that transfer between accounts.
AI-assisted workflows. Reusable analysis and reporting pipelines I build myself.

Mumbai, India. I work across US and EU time zones. Open to senior full-time roles for the right team. LinkedIn · Email · Résumé (PDF)

Or send a brief

Tell me about your app and where you’re stuck.

I reply within a day. Worst case you get a second opinion for free.