Growth hacker for subscription appsGrowth hacker for B2B and D2C brands
I’m Jodha. I took an app from 10 to 15 purchase events a day to 56 with the same traffic, read a paywall test at 2.5x revenue per user, and replaced a $240K-a-year ad production bill with one build. It starts with your ICP. Then I run paywalls, onboarding, email, Meta ads and Mixpanel as one system.
I’m Jodha. I build the systems that bring buyers in: organic search and video for a bullion marketplace, an enterprise pipeline for an industrial machine maker, a distributor network for an FMCG brand, and high-net-worth lead gen for a Bitcoin protocol. It always starts with the ICP, studied like a bible.
Apps and brands I’ve worked on
Tap a logo for the caseResultsResults
Numbers from the apps’ own dashboards and public store listings, and how each one turned into money.Who they are, and how the work makes them money or brings it in.
Making moneyA trial arm that earns 2.5x per user, a fixed release that had halved paywall reach, and win-back emails for lapsed trials.
Making moneyA 7-day trial on the $89.99 yearly plan took purchase events from 10 to 15 a day to 56, with installs flat.
Saving moneyA $20,000-a-month production bill became a one-time build that makes ad packs on demand.
How it makes moneySearch pages and YouTube and Facebook videos send bullion buyers to live listings. Orders from organic visits carry no ad cost.
How it makes moneyPlants come in through a paid sample batch, then move to a machine quote. Blastpro’s customers include Bajaj and Bridgestone.
How it makes moneyA free-shipping nudge for small carts, and dealers who reach sales with the carton order already written.
How it makes moneyA distributor system and online network: reorders in a few taps, schemes and stock in one place, shelves kept full.
Bringing in capitalHigh-net-worth Bitcoin holders found, introduced and briefed, then brought into Coffer’s wallets and staking.
Winning accountsEnterprises found the moment a funded HR or payroll migration starts, and reached before the old system is switched off.
ICP first
Before a single test, ad or email, I write down who pays for your app: who they are, what they want, the words they use and why they pay. Every hook, paywall and email gets checked against it.Before a single page, video or outreach message, I write down who buys from you: the companies, the people who sign, the words they use and what triggers an order. Every message gets checked against it.
01 / 04Who they are
02 / 04What they want
03 / 04Words they use
04 / 04Why they pay
01 / 04Who they are
02 / 04What they want
03 / 04Words they use
04 / 04Why they buy
A note from me
Most apps I look at don’t have a traffic problem. They have a paywall that asks too early, a trial nobody has tested, and a Mixpanel board nobody fully trusts.
I’ve spent the last year inside those problems at Runout, from a trial that earned 2.5 times more per user to a release that quietly halved paywall reach. I spec the test, write the emails, brief the ads and read the result in dollars. If your app charges, book a call or send it over. I’ll show you where the money leaks.
Most good companies I meet are invisible to the buyers who should be ordering. The product is real and the customers are loyal, but the next big account never hears about them.
I fix that with systems: lists of the accounts that fit and outreach timed to when they buy, partners who bring you into projects early, search pages and videos that bring buyers in for free, and a site or distributor portal that makes ordering easy. Book a call and I’ll show you the first three moves.
Selected work
Runout Poker
Paywall tests, win-back emails, a shorter onboarding for players over 55 and the Mixpanel work behind them, for a poker app with 145K+ installs on iPhone and iPad.
Read the caseBlackjack Wiz
Built and launched, then purchase events went from 10 to 15 a day to 56 when a 7-day trial on yearly went live.
Read the caseDrawdown Brands
A one-time AI ad engine that replaced a $20,000-a-month production bill for a family of health apps.
Read the casePeerMetals
Organic search, YouTube and Facebook for a US bullion marketplace with 4,200+ verified reviews.
Read the caseOrganic engine · PeerMetals
Blastpro
An account-based pipeline for an industrial machine maker whose customers include Bajaj and Bridgestone.
Read the caseAccount pipeline · Blastpro
Neelgagan
A 1951 stationery maker’s website rebuilt around how students, offices and dealers actually buy.
Read the caseThree paths · Neelgagan
Varanasi Ashik
A distributor system for an FMCG brand: onboarding, reorders, schemes and stock in one place.
Read the caseDistributor portal · Varanasi Ashik
Coffer Network
Lead gen among high-net-worth Bitcoin holders for a Draper-backed protocol’s wallets and staking.
Read the caseHNI pipeline · Coffer Network
13 case studies across subscription apps, manufacturing, B2B SaaS, D2C and Bitcoin. Open any card for the whole story.
Testimonials
Founders and teams I’ve worked with, on what changed.
If you are looking for someone to help with your Google search and AI, Jodha is the guy. Now those buyers come straight to us, and we don't really pay for any clicks.
Nash DickersonCEO, PeerMetals
Jodha joined as our designer and ended up running growth across the whole funnel. He finds where paying users drop off, tests a fix and shows us what it did to revenue.
Shervin DehmoubedPartner, Runout Poker
Our buyers are plant heads and maintenance managers, and they're hard to reach. Jodha built us a list of the right plants across five industries, worked out who to talk to in each one, and set up the outreach.
Dipin SikkaCo-founder, Blastpro
Jodha rebuilt our website around the three kinds of people who buy from us: students, offices and dealers. He built it for SEO and AEO too, so Google and AI answers can find our pages. Dealer orders now go straight to our sales team.
Vinayak GuptaNeelgagan
We brought Jodha in on three of our D2C brands: Dripp, Pawnaturale and Fashexuber. He'd go through reviews and support chats until he found what was stopping people from ordering, then fix the ad and the page around it.
Sunjay GhaiCEO, Amplify X Digital
It starts with the ICP. Then I own the whole path: the ad that earns the install, the onboarding that gets people to the paywall, the offer that gets them to pay, the emails that keep them, and the tracking that proves it.
It starts with the ICP. Then I own the whole path: getting found where buyers look, getting in front of the accounts that fit, making the order easy, and a report read in meetings and orders.
Hooks from real reviews and onboarding survey answers, made in volume by an AI engine, with your real app screens in every ad. Read on CPA and trial starts within a day.
Real hooks from one Knee Trainer ad set: one stairs story, three openings. The presenter is AI.
Shorter paths where Mixpanel shows people leaving, a demo before the ask, and no release that quietly hides the paywall.
Caught in Mixpanel, traced to a routing change, fixed
Trial or no trial, which plan is preselected, web or app billing. These tests are cheap, and a winner reads within weeks.
Win-back emails for trials that lapse, a cross-sell into a second app, and renewals as the guardrail on every test.
Variants tagged on the purchase, revenue events that fire, and dashboards the team believes.
Blackjack Wiz, 3 Aug 2026 · installs flat at about 270
Pages and short videos built on what your buyers actually ask, and the facts AI tools read about you, so you show up wherever they look.
Here are a few good options:
The goal: be one of the names, with your page as the source
A list of the companies that should buy from you, the people inside each one, and outreach timed to the moment they need you.
Separate paths for each kind of buyer, a reorder flow for distributors, and enquiries that reach sales with the details filled in.
Search Console, GA4, the CRM and your enquiry inbox tied together, so every page and campaign is judged on calls and orders.
If we work together
Each month ships something you can see in your own dashboards.
Each month ships something you can see: outreach live, new pages and videos, and a report on meetings and orders.
Research on your users, your app’s real UI rebuilt as a motion library, four ad formats and hooks on tap. Built once and yours to keep. The build is quoted after the teardown, and running it is part of the $4,500 retainer.
Your buyers now ask ChatGPT, Perplexity and Google’s AI who to buy from. Those tools answer from pages and facts they can find. If yours aren’t clear, someone else gets named.
Illustration. Where you stand today is what the free audit checks.
56
Purchase events on the day the trial went live
Against 10 to 15 on a normal day, with installs flat at about 270. Taps on the trial offer went from 0 to 181.
2.5x
Revenue per user on the beginner trial
2.22x in tier-one countries, 2.69x elsewhere, against the hard paywall.
$240K
A year of ad production, replaced by one build
A $20,000-a-month line became an engine that makes ad packs on demand.
+15%
First purchases on day one of a new video ad
104 to 120 first purchases, 131 to 134 trials.
64→34%
Paywall reach lost to one release, caught and fixed
Time to paywall went from about 15 minutes to 18.7 hours until it was traced.
4.5★
From 1,263 ratings on the App Store
Launched 20 July 2026 with the screenshot set I designed.
ROAS
Looked catastrophic until the revenue events were fixed
The ads were being judged on broken tracking.
10,468
First purchases through the App Store
From 145K+ installs on iPhone and iPad. iPhone installs went from 8.6K a month in April to 45K in September.
50K+
Installs, 4.5★ from 4,590 reviews
The app I run growth for, on its public listing.
7.3M
Views on one Short
How They Verified Gold in 700 BC. Twelve of the Shorts passed 60K views each.
#1
For “peer to peer precious metals marketplace”
Also #1 for “peer to peer bullion marketplace”.
3
Decision makers mapped in every target plant
Plant head, maintenance and purchase, reached with lines written for each.
3
Tiers on one ordering system
Brand, distributors and shops, with reorders confirmed on WhatsApp.
#1
For “estimate pad”, with Google’s AI Overview quoting it
Also #1 for “paper block pad 480 pages” and #3 for “school and office stationery brand india”.
12→3
Menu items became three doors
Students, offices and dealers each get their own way in.
1:1
Private briefings for Bitcoin holders
Security and staking terms walked through live, then a wallet.
6
HR platforms tracked for migrations
Workday, UKG, ADP, SAP, Dayforce and Oracle moves, found from public signals.
2
Launch moments run on X
The genesis drop and the game launch, for a game backed by Draper VC and Boost VC.
Pricing
In US dollars. Every engagement starts with a free teardown or a call.
In US dollars. Every engagement starts with a free audit or a call.
Your funnel, paywall and ads, recorded
No strings
The full picture and a 90-day plan
Credited if you start a retainer
A growth hacker on your team, every week
Month to month after three months
Search, AI answers and your pipeline, recorded
No strings
The full picture and a 90-day plan
Credited if you start a retainer
Organic growth and a pipeline, run every week
Month to month after three months
?
Send your app. You get a recorded walkthrough of the three leaks I’d fix first, and what each one should be worth. If the fixes are simple, do them yourself.
Send your website. You get a recorded audit of where you rank, what AI tools say about you, who should be buying, and the three things I’d fix first.
Book a call
Pick a time. Bring your app and the number you most want to movewebsite and who you want buying. You leave with the three fixes I’d make first, and what each is worth.
Pick a timeYour time zone
Next you add your name and email, and it’s booked. The Google Meet invite comes by email.
Harinder Singh
Jodha
AI-first growth for apps and brands
Let’s talk
30 minutes.
Three fixes.
Book a call and leave with the three things I’d fix first in your funnel, and what each one is worth.
About
I’m Harinder Singh Jodha, Jodha to most people. The easiest way to explain my job, especially at a family wedding, is that I’m a wingman. Your product might be great, but right now it’s standing in the corner of the party. I walk the right people over, make the introduction, and make sure they leave with a number. Ideally a card number.
On one side there’s someone with a real problem: a stacker looking for silver below spot, a plant manager who needs a supplier he can trust, a poker player who keeps losing the same hands. On the other side there’s a product that fixes it. Most of the time they never meet. Growth hacking, for me, is the wingman’s job with better tools: find where those people already hang out, put the right line in front of them, and measure every step so I know which introduction worked.
More and more, that introduction starts with a question typed into Google, or asked to ChatGPT. So a lot of my work is SEO and AEO. AEO is answer engine optimization, SEO for when the answer comes from ChatGPT or Google’s AI instead of ten blue links. I build pages that answer the exact question people ask, keep the facts consistent so AI tools name the right business, and make short videos that answer the same thing in a minute. For PeerMetals that meant #1 on Google for “peer to peer precious metals marketplace” and a YouTube Short with 7.3 million views.
When paid makes more sense, I run Meta ads made with an AI production stack, so one person can test what used to need a team. Then I work the paywall, the onboarding and the emails until the people who show up actually pay. Mixpanel tells me which step is broken, so I fix that one first.
I started out as a designer, Runout Poker’s first, which is why my pages don’t look like spreadsheets. Now I’m Growth PM there, and I consult for D2C brands through Amplify X Digital and for companies in manufacturing, B2B SaaS, distribution and Bitcoin.
Analytics and revenue
Organic and AI search
Paid social
Research and UX
AI production
Pipelines
Finds the cheapest way to get more paying subscribers, then tests it fast. For an app that means the ad, onboarding, the paywall, the offer and pricing, and the tracking that proves which change made money. I also build whatever the test needs: paywall specs, onboarding flows, event schemas and ad packs.
Subscription apps with a paywall, usually founder-led and growing on Meta. I don’t pitch apps that compete with the poker and blackjack apps I work on.
It depends on your audience and your plans, which is why it gets tested. On Runout, a beginner trial read at about 2.5 times the ARPU of the hard paywall in the first read, and on Blackjack Wiz a 7-day trial on yearly took purchase events from 10 to 15 a day to 56. The lifetime value question is read later, once renewals come in.
A system built around your app: research on your users, your real app screens rebuilt as a motion library, presenter, animated and static formats, and scripts written from what your users say. Built once, it makes new ads on demand instead of on a monthly invoice. Drawdown Brands replaced a $20,000-a-month production bill with one.
Read access to Mixpanel or your analytics, RevenueCat or your billing, and the ad account or a weekly export. Every number I report comes from your own data.
Ads read in days. Paywall and offer tests read within weeks, once trials have turned into payments. The teardown tells you which levers are quick for you.
Because every test, ad, page and outreach line is only as good as the picture of the buyer behind it. Before anything ships I write your ICP down and check every piece of work against it: who buys, who signs, the job they’re hiring you for, the words they use, where they spend time, what makes them buy and what stops them. Every hook, paywall, email and message is checked against it, and it gets updated as the data comes in.
You work with me directly. The person on the call is the person doing the work. An agency usually owns one channel and reports on that channel. I own the path from search or ad to payment or enquiry, and I build the pieces myself.
Delhi, on India time. I work with teams in India, the US and Europe. Calls are set in your hours, most work runs async on WhatsApp, and you get a written update every week.
Yes, and they’re often the best fit. Blastpro builds industrial shot blasting machines, Neelgagan has made stationery since 1951, and Varanasi Ashik sells through distributors. The work is the same: find the buyers who should be ordering, reach them before a competitor does, and make ordering easy.
SEO gets your pages ranking in Google. AEO, answer engine optimisation, makes your pages the clearest answer to a buyer’s question so ChatGPT, Perplexity and Google’s AI can quote them. GEO, generative engine optimisation, makes sure those tools know who you are and describe you correctly. Buyers now use all three before they call anyone.
The audit is free. A growth audit with a 90-day plan is $1,500. The monthly retainer starts at $2,500, and $4,500 with a B2B lead generation or distributor system running. Ad spend goes to Google or Meta directly. Big website rebuilds are quoted separately.
Outreach to target accounts starts producing conversations in the first month. Fixes to an existing site can move in weeks. New search pages usually take three to six months to rank well, and AI answers follow the pages, so you get a report every month to see it build.
Yes, it’s most of the brand work. Blastpro got an enterprise pipeline for its machines, Fuse Analytics a pipeline timed to HR system migrations, and Coffer Network a pipeline of high-net-worth Bitcoin holders for its wallets and staking.
No. Anyone who guarantees a ranking or an AI mention is guessing. What I promise is a clear plan, steady shipping, honest monthly reports, and nothing published on invented claims.
Because every test, ad, page and outreach line is only as good as the picture of the buyer behind it. Before anything ships I write your ICP down and check every piece of work against it: who buys, who signs, the job they’re hiring you for, the words they use, where they spend time, what makes them buy and what stops them. Every hook, paywall, email and message is checked against it, and it gets updated as the data comes in.
You work with me directly. The person on the call is the person doing the work. An agency usually owns one channel and reports on that channel. I own the path from search or ad to payment or enquiry, and I build the pieces myself.
Delhi, on India time. I work with teams in India, the US and Europe. Calls are set in your hours, most work runs async on WhatsApp, and you get a written update every week.
Free teardownFree audit
Send the link and the number you most want to move. You get a teardown video within 3 working days, free.
Send your website and what you sell. You get a recorded audit of your search, AI answers and pipeline within 3 working days, free.
Growth · poker training app
2.5x more revenue per user from one paywall test, plus the email, retention and Mixpanel work behind 145K+ installs on iPhone and iPad.
The case in 30 seconds
MeasuredPlayers were leaving before they ever paid. The paywall showed up at the wrong moment, nobody had tested a trial, and the tracking couldn’t be trusted.
A beginner trial tested against the hard paywall, a shorter onboarding for players over 55, a 4-email win-back for lapsed trials, a PLO cross-sell and clean Mixpanel tracking.
The trial arm earns 2.5x more revenue per user, and a release that cut paywall reach from 64% to 34% was caught and fixed. Over the same months, iPhone installs went from 8.6K a month to 45K.
What I did
I run growth for Runout Poker. I find where paying users leak out, test the fix, and read the result in dollars.
How it was done
Who they are
Runout is a subscription poker trainer for recreational players aged 45 to 70. Most of its growth is on Apple: 145K+ installs on iPhone and iPad, and 10,468 first purchases through the App Store. On Google Play it has 50K+ installs and 4.5 stars from 4,590 reviews. All paid growth runs on Meta, and the team’s apps are the biggest in their category by Meta ad spend.
What I delivered
The data
Installs on Apple, trial starts and first purchases, week by week.
iPhone and iPad installs a weekWeekly, June to September 2026
First app opens on iOS and iPadOS
Trial starts and first purchasesWeekly, all platforms
Trial startsFirst purchases
The numbers
Real figures from the client’s own dashboards and public listings. Diagrams show how each system works.
Revenue per user
Trial arm vs hard paywall, first readFirst purchases
Day one of a new video ad, 104 to 120Paywall reach, caught
A release that hid the paywall, found in daysiPhone installs a month
8.6K in April to 45K in SeptemberApril8.6K
May14.9K
June27.8K
July24.4K
August43.9K
September45.0K
145K+ installs on iPhone and iPad in all, against 50K+ on Google Play. Apple is where most of the growth and the buyers are.
App Store10,468
Web checkout5,134
Google Play3,005
Web checkout is Stripe and RevenueCat Billing together.
Value per conversion used in the read: $28.91 per hard-paywall purchase, $62.47 per trial conversion.
Average time to paywall went from about 15 minutes to 18.7 hours. Traced to a routing change and fixed.
A first-day read on one new video ad.
The product
Hard paywall against the 7-day trial, the plan sheet behind View all plans, and the PLO paywall the cross-sell leads to. Below them, the web app, screen by screen.
The real paywalls from the app. The test put the hard paywall against the 7-day trial.
The Runout web app I designed: real screens from the build
The ads
The newest batch, for the version that runs in the browser.
Runout Poker on the web6 ads
Step by step
New beginners were split between paying on day zero and a trial. At the day-8 read, the trial arm was earning about 2.5 times more per user.
2.22x in tier-one countries, 2.69x elsewhere. The test then went to two arms at 50/50.
Mixpanel showed older players leaving before they ever saw the paywall. Their path got shorter, a quiz lets them try the trainer first, and the rating ask waits for a good moment.
After v1.2.1, paywall reach after onboarding fell from 64% to 34%. I traced it in Mixpanel to the build sending new users to Home, and it was fixed.
Time to paywall: about 15 minutes before, 18.7 hours after.
Runout’s paying players are the cheapest audience the PLO Trainer will ever get. The pitch changes with the player’s rating, shows once, and disappears for anyone who already has a PLO account.
Beginner, under 1,200
Says Omaha. Why it’s easy to learn
Intermediate, to 2,399
Says Omaha. Softer games, a comparison
Advanced, 2,400+
Says PLO. The state of the games
Every test
Every test, what it was read on, and the call I made. Tap a row for the detail.
Users assigned 4 to 15 July, read at day 8 using $28.91 per hard purchase and $62.47 per trial conversion. 2.22x in tier-one countries, 2.69x elsewhere. Next read: renewals, to check lifetime value.
The seven-arm test was cut to two arms at an even split from mid July, so each arm gets enough buyers to read in weeks.
A shorter path for older players, a quiz that demos the trainer, its own 3-day trial paywall with a clear timeline, and a gated App Store rating ask.
Average time to paywall went from about 15 minutes to 18.7 hours and the trial split drifted to about 98/2. Traced in Mixpanel to the build sending users Home, then fixed with the developer.
First purchases went from 104 to 120 and trials from 131 to 134 on day one.
ROAS on the PLO app looked terrible because revenue events were broken in Mixpanel. Fixed, so spend is judged on real revenue.
A trial reminder, a monthly trial as a second door, 50% off annual, then a final 80% offer.
The quiz-style poker questions from the ads, posted as organic videos, as the first channel that isn’t paid.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyRecreational players aged 45 to 70, written down: their rating bands, the words they use, where they scroll and what makes them pay. Every hook, paywall and email is checked against it.
Trial vs hard paywall, plan order, trial length and web checkout, all read on revenue per user rather than taps.
The experiment variant lived on app events, so server purchases carried no variant at all. Fixing that, plus double assignment, is what makes every test readable.
A 4-email sequence for trials that lapse, streaks and ratings that bring players back, and renewals as the guardrail on every test.
Hooks and scripts for three apps, written from a pro-player persona and read on CPA and trial starts, with line art as the top format.
Paying Runout players see a PLO pitch tuned to their rating band, once, with a kill switch for anyone already on PLO.
A Meta ad, a quiz in the browser, Stripe, then the app, so the store’s cut stays with the business.
On a hard paywall, each point of paywall reach or conversion is revenue on day one with no extra ad spend. On the trial arm, each new beginner was worth about 2.5 times as much, with no extra ad spend.
Next case
About 4x more purchase events in a day from the same traffic, by changing the offer.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callBuilt, launched, grown
About 4x more purchase events in a day from the same traffic, by changing the offer.
The case in 30 seconds
MeasuredSteady traffic of about 270 installs a day, but only 10 to 15 purchase events. More ad spend wasn’t going to fix that.
The app itself, from HTML prototype to the App Store, the store listing, and a 7-day trial on the $89.99 yearly plan.
Purchase events went from 10 to 15 a day to 56 on the day the trial went live, with installs flat. The app has 1,263 ratings at 4.5 stars.
What I did
I built Blackjack Wiz, launched it on the App Store, then changed the offer and purchase events went from 10 to 15 a day to 56.
How it was done
Who they are
Blackjack Wiz teaches basic strategy and card counting, with a full table simulator. It launched on the App Store on 20 July 2026 and has 1,263 ratings at 4.5 stars three months in. It sells a $89.99 yearly plan and a $19.99 monthly plan.
What I delivered
The data
The days around the trial launch, exported from the app’s analytics. Same traffic, then the jump.
The week the trial went liveDaily, 27 July to 3 August 2026
Installs a day, same week
Purchase eventsInstalls
Installs a day3 to 24 August
Purchase events a day3 to 24 August
The numbers
Real figures from the client’s own dashboards and public listings. Diagrams show how each system works.
Purchase events in a day
56 vs a normal 10 to 15Trial offer taps
On the day it went live, from zeroApp Store rating
From 1,263 ratingsInstalls
About 270 a day, the week before and on the dayEach column is a day. Installs held at about 270 a day.
The event counts $0 trial starts too, so paid conversion is read when trials bill.
The product
Real screens: the trial intro, the reminder and the paywall, then drills, counting and lessons.
The trial flow from the latest onboarding build. Prices in this build differ from the August test.
Inside the app
Real screens from the latest Blackjack Wiz build I designed
Step by step
Installs were steady at about 270 a day and purchases sat at 10 to 15. If the offer was the problem, more ad spend wouldn’t fix it.
Hard paywall, no free tier
$89.99 a year with 7 days free, preselected, beside $19.99 a month with no trial.
The trial paywall, from the latest build
Taps on the trial offer went from 0 to 181 and purchase events from 10 to 15 a day to 56, with installs flat. Traffic didn’t change, so the jump came from the offer.
3 Aug 2026
Animated ads beat presenter ads on CPA. A dealer persona, talking from the house side of the table, did well enough to scale with more hooks.
Every test
Every test, what it was read on, and the call I made. Tap a row for the detail.
Went live 3 August 2026. Taps on the trial offer went from 0 to 181 and purchase events hit 56 while installs held at about 270 a day.
Short animated scenes around one blackjack decision, closing on the real app.
One line-art ad per app in every batch, because it kept winning.
Presenters talking about blackjack didn’t hold attention.
One hook per ad on a fixed body, scaling with more hooks.
"An app just graded my blackjack", built off the real results screen.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyAn HTML prototype, a logic spec for the drills and adaptive training, honest personal records instead of fake leaderboards, and the App Store screenshot set.
If lowering the commitment at the paywall lifts purchases while installs stay flat, the offer was the constraint, and fixing it costs nothing in ad spend.
The purchase event counts $0 trial starts, so paid conversion is read once trials bill.
The first screen that mentions a charge loses people, and some buyers never start a drill. Week one decides whether trials pay.
Each column is a day
Same traffic with a different offer took purchase events from 10 to 15 a day to 56. It’s the first lever I check on any paywalled app.
Next case
$20K a month of ad production replaced by one system. That’s $240K a year back in the budget.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callPaid acquisition engine · health apps
$20K a month of ad production replaced by one system. That’s $240K a year back in the budget.
The case in 30 seconds
MeasuredAbout $20,000 a month went on ad production for a family of health apps, whether the ads worked or not.
One AI ad engine: user research per app, the real app screens rebuilt in code, four ad formats and three hooks per ad, made on demand.
$240K a year came off the production bill. New ads arrive in days, and the first day of spend shows which format wins.
What I did
Drawdown was paying about $20,000 a month for ad production. I built an engine that makes the ads instead, once, for all their apps.
How it was done
Who they are
Drawdown Brands LLC is a US app publisher with a catalogue of health and wellness apps on the App Store, including titles with 2,700+ ratings. Its exercise apps for bones, joints and balance grow on Meta, and ad production was costing about $20,000 a month whether the ads won or lost.
What I delivered
The engine
Five apps share the same four steps. What changes is the angle, the look and the motion library. Pick an app.
Who it talks to
The look it keeps
The pack
Exercise loops6 of the 42
Who it talks to
The look it keeps
The pack
Three hooks, one body
One stairs story with three different openings, tested against each other. The presenter is AI.
The look, by format
The full ads play in the ad library below.
Who it talks to
The look it keeps
The pack
Narrated motion
Statics
Stories format. The full set plays in the ad library below.
Who sees it
Equal weight, same age range for both.
Who it talks to
The look it keeps
The pack
What the first 24 hours said
Scaling the winners
Four new characters, each with a distinct voice, three hooks each, built on why the two winning hooks worked.
Statics, rebuilt as direct response
A brand-style one-liner
A situation headline
Out went the brand-style one-liners. In came a situation headline, three bullets, the real app screen and a button.
Who it talks to
The look it keeps
The pack
The first batch
Product demos, with sound
The app’s UI animations rebuilt as code, so any ad can show the real thing moving, with a sound on every tap.
Engine parts, app by app
The numbers
Real figures from the client’s own dashboards and public listings. Diagrams show how each system works.
Saved a year
$20K a month of production, goneApps on one engine
Each new app runs the same stepsTo read a format
Balance Trainer, first day of spendHooks per ad
Testing an angle costs a renderThe red line is the $20K-a-month bill that kept coming. The engine was built once.
Presenter ad, kitchen tipKept
Presenter ad, gardenKept
StaticsCut
Next pack4 x 3 hooks
Budget moved to the two presenter ads that beat the statics on CPA.
The product
The ads are built on these screens, so what someone sees in the ad is what they get when they open the app.
Real screens from Plantar Fasciitis Trainer and Hand Arthritis, two of the five apps
The ads
Finished ads from the latest batch. Each app gets a mix of formats to test against each other.
Plantar Fasciitis Trainer6 ads
Knee Trainer6 ads
Osteo Trainer6 ads
Step by step
Paid social only scales if creative keeps up, and Drawdown was paying around $20,000 a month for it, win or lose.
A cost that came back whether the ads won or lost
User research, the app’s real UI rebuilt in code, and four formats. Built once, reused for every pack and every new app.
Three hooks on one body, so testing a new angle costs a render instead of a shoot.
Real hooks from one Knee Trainer ad set: one stairs story, three openings. The presenter is AI.
On Balance Trainer, two presenter ads beat the statics on CPA. Budget moved to the winners the next day.
Every test
Every test, what it was read on, and the call I made. Tap a row for the detail.
First 24 hours of spend. An older speaker with a practical tip from the kitchen counter.
The quiet confession hook: I stopped kneeling in my garden.
The statics dragged CPA. Rebuilt as direct response: a situation headline, bullets, the real app screen and a button.
Built on why the two winners worked.
Presenter ads with motion and b-roll, plus line and clay animated ads, three hooks each.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyPersonas and angles for each app, written down before any script, so every hook opens on a problem the viewer actually has, in their words.
Every screen and transition rebuilt in code from the real app, so the cut to the product is smooth and honest.
New formats get a first read in 24 hours, so budget moves to winners before the week is out.
Real app screens only. No invented stats, no fake testimonials, AI presenters disclosed.
Balance, Osteo, Plantar Fasciitis, Hand Arthritis and Knee Trainer all run through the same steps.
A recurring $20,000-a-month line became a one-time build. Ad volume no longer depends on a production budget, and a new app joins by running the same steps.
Next case
An always-on pipeline that finds the plants that need shot blasting machines and gets Blastpro in front of the people who sign.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callEnterprise lead gen · industrial machines
An always-on pipeline that finds the plants that need shot blasting machines and gets Blastpro in front of the people who sign.
The case in 30 seconds
LiveMachine sales depended on trade fairs. Between fairs, the plants that needed a shot blasting machine never heard from Blastpro.
A list of target plants across five industries, a map of the three people who sign in each plant, outreach by email, WhatsApp and calls, and machine pages that lead to a paid sample batch.
Plants enter the pipeline every month with a clear first step, a sample batch, and a path to a machine quote. It is tracked on sample batches booked and quotes sent.
What I did
I built Blastpro a lead generation system that finds the plants that need a shot blasting machine and gets them to a quote.
How it was done
Who they are
Blast Pro Technologies builds shot blasting machines, the equipment plants use to clean and finish castings, forgings and fabricated parts, and also runs job work. Its site lists customers such as Bajaj, Bridgestone and DLF. Each machine is a capital order, so one new account is worth a lot.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
The parts of the system and what each one is for.
Industries targeted
Foundries, forges, fabricators, auto, aerospacePeople per plant
Plant head, maintenance, purchaseChannels
Email, WhatsApp, calls, searchSmall first yes
A paid sample batch through job workBar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Find the right machine
Step by step
A shot blasting machine is decided by several people over months. Trade fairs made the pipeline arrive in lumps.
Plants that fit, the buying group inside each one, and outreach timed to signals that a plant is buying: a new line, an expansion, a tender.
Email, WhatsApp and a call, written per industry and opening on the part.
Pages per machine type and per industry, with a form that qualifies the lead before the first call.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Foundries, forges, fabricators and part makers across India’s industrial clusters, each tagged with what it makes, its size and the finish problem it’s likely to have.
Plant head, maintenance lead and purchase contact for each account.
Plant expansions, new lines, tenders and B2B marketplace enquiries move an account to the top.
The opening ask is a sample batch of the buyer’s own parts, instead of a machine meeting.
Pages built from Semrush research with a form that asks part, size, material and volume.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyWhich plants buy, who signs inside them, the words they use and the triggers that start a purchase, all written down before the first message.
A list of the plants that fit, each tagged with what it makes, its size and the finish problem it’s likely to have.
For each account, the plant head, the maintenance lead and the purchase contact, so outreach reaches everyone with a say.
A plant adding capacity is a plant that’s buying. Expansions, new lines and tenders move it to the top.
AI did the account research and first drafts. I checked every line before it went out.
A sample batch of the buyer’s own parts through job work, instead of a machine meeting.
Job work is a fast, small yes. Machines are the big tickets. The pipeline brings plants in through a sample batch every month instead of after each trade fair, and moves them toward a machine quote.
Next case
A stationery maker’s website rebuilt so students, offices and dealers each find what they came for, and dealers reach sales with the order already written.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callSEO, AEO and a website revamp
A stationery maker’s website rebuilt so students, offices and dealers each find what they came for, and dealers reach sales with the order already written.
…as listed by Neelgagan, an estimate pad is…
The case in 30 seconds
LiveStudents, offices and dealers all landed on the same 12-category menu, and dealers had no clear way to place a bulk order.
Research with all three kinds of buyer, then a rebuilt Shopify site with three ways in, a free-shipping nudge for small carts, and a bulk form that sends product, quantity and city to sales on WhatsApp.
Shop by need and Become a partner are live on the store, and dealer enquiries arrive ready to quote. Orders and bulk enquiries are both tracked as revenue events.
What I did
I researched how Neelgagan’s three kinds of buyer shop, then rebuilt the site so each one finds their product and dealers reach sales with the order written.
How it was done
Who they are
Neelgagan has made notebooks, registers, files, tapes and labels since 1951. It sells by the piece to students on its own store and by the carton to offices, shops and dealers. Bulk orders are where the volume is.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
Real Google results today, plus what the revamp changed on the site.
On Google
For “estimate pad” and “paper block pad 480 pages”Overview quotes it
Google’s AI answer for “estimate pad” cites NeelgaganCategory search
“school and office stationery brand india”, next to CamlinDoors on the home page
Students, offices, dealersBefore · one menu for everyone
After · three doors
What I built
What I built, as the buyer and the team see it.
Your cart · 3 items
Add ₹120 more for free shipping
SEO and AEO
Real Google results. Product pages that rank, and answers that Google’s AI builds from Neelgagan’s own pages.
Also ranking on Google, India
Step by step
A student, an office reordering registers and a dealer asking about a thousand units all met the same menu and the same cart.
Session recordings and heatmaps, the on-site search log, and short calls with dealers and office buyers.
Microsoft Clarity and GA4
Students, offices and shops, and dealers each get their own way in, with what they buy most up front.
Since 1951, cash on delivery and secure payment on the product page, and a nudge toward free shipping.
Ruled notebook, pack of 6
Add a little more for free shipping
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Microsoft Clarity recordings and heatmaps, the on-site search log, and calls with dealers and office buyers.
Each buyer type gets its own entry with what it buys most.
Shown on product pages and in the cart, where people decide.
A bar toward the free-shipping threshold, so a small order has a reason to grow.
Product, quantity and city in a short form, a catalogue download, and a WhatsApp route to sales.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyStudents and shop owners browse on their phones, so every page was designed at phone size first.
What people typed into on-site search said more about the range than the menu did.
A short enquiry form, a downloadable catalogue, and a WhatsApp route to the sales team.
GA4 events on add to cart, checkout, enquiry and catalogue download.
Retail buyers reach the right product in fewer taps, small carts get a reason to grow, and dealers land with the order already written. For a manufacturer, the carton buyer is where the volume is.
Next case
Search pages and organic video that built to bring bullion buyers in without paying Google or Meta for the click.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callOrganic growth · SEO, YouTube, Facebook
Search pages and organic video that built to bring bullion buyers in without paying Google or Meta for the click.
The case in 30 seconds
LiveBullion buyers search coin by coin, the big dealers own those results, and paying for every click eats a marketplace’s margin.
Calculator and coin guide pages for the questions buyers ask, short YouTube and Facebook explainers, and pages written so AI tools can name PeerMetals as a source.
Visits from search and video cost $0 a click and land on live listings.
What I did
I built PeerMetals an organic engine: search pages and short videos that bring bullion buyers to live listings without paying for the click.
How it was done
Who they are
PeerMetals is a US marketplace where verified dealers sell coins, bars and rounds of gold, silver, platinum and palladium, many at or below spot. Its site shows a 5.0 rating from 4,200+ verified reviews, and sellers pay a 2.75% fee only when an item sells. It earns on every order, so every buyer who arrives without an ad is margin.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
Real figures, as shown on YouTube and in Google today.
Views on one Short
How They Verified Gold in 700 BCViews on the top 12 Shorts
Added up from the counts on the channelShorts past 60K views
From 61K up to 7.3M eachOn Google
For “peer to peer precious metals marketplace” and “peer to peer bullion marketplace”Bar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Junk silver calculator
Quick one: how much silver is in a dime from before 1965? About 0.072 oz. Here’s what that means at today’s spot.
A few places to check. PeerMetals is a marketplace where verified dealers list coins and rounds, many priced at or below spot, with buyer protection.
In search
Real Google results. The pink marks show PeerMetals, in the AI answer and in the results under it.
Also ranking on Google, US
Step by step
Melt values, spot prices, a single coin and year. The big dealers own most of those results, and a marketplace can’t buy every one of those clicks.
Calculators, coin guides and listing hubs that refresh themselves, each linking to live listings.
Short videos on YouTube and Facebook answer the same questions the search pages do: how much silver is in a dime, what melt value means, how buying below spot works.
Buyers now ask ChatGPT and Perplexity where to buy. Clear pages and consistent facts give the marketplace a real shot at being one of the names.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
What buyers search, how often, which dealers own those results, and where the gaps are.
Tools buyers use every day become pages that rank and link to live listings.
One page per coin question, each linking to listings.
Short explainers that answer buyer questions and point to the marketplace.
Consistent facts about the marketplace, buyer protection and verified sellers.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyWhat buyers search, how often, which dealers own those results, and where the gaps were, in Semrush and Ahrefs.
Search Console showed the queries the site already ranked near. Those pages got fixed first.
Melt value, spot and junk silver calculators are searched daily and hand buyers straight to live listings.
Short YouTube and Facebook videos built on the same buyer questions as the search pages.
Buyer protection and verified sellers, explained plainly, because trust is the first question in bullion.
Paid search clickYou pay every time
Organic search and video$0
PeerMetals earns on every order. Every buyer who arrives from a search page or a video is a buyer it didn’t pay Google or Meta for, so organic traffic goes straight to margin.
Next case
A distributor system and an online distribution network for a brand that sells through the trade.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callDistributor system · online distribution
A distributor system and an online distribution network for a brand that sells through the trade.
The case in 30 seconds
LiveOrders, schemes and stock lived in calls and chats, and new distributors had no single place to find the brand.
One ordering system for the brand, its distributors and shops, with WhatsApp order confirmations, plus one consistent name and contact everywhere a trader looks online.
Reordering takes a few taps, stock is visible to all three tiers, and the network grows without consumer ads.
What I did
I built Varanasi Ashik a distributor system and an online distribution network, so the brand sells more through the trade, the only channel its category allows.
How it was done
Who they are
Varanasi Ashik is a distributor-led FMCG brand from Varanasi. It sells through super stockists, distributors and thousands of small shops, in a category that can’t advertise to consumers. Growth comes from adding distributors and keeping their shelves stocked.
What I delivered
The numbers
The parts of the system and what each one is for.
Tiers connected
Brand, distributors, shopsOrdering system
Orders, schemes, stockOrder confirmations
How the trade already talksPlaces traders check
One name everywhereWhat I built
What I built, as the buyer and the team see it.
Quick reorder
Step by step
Orders, stock checks and schemes moved by phone between the brand, distributors and shops. Nothing showed which distributor was running low or which area was growing.
Distributors onboard, order, see schemes and check stock in one place, with every order confirmed on WhatsApp.
The brand sees every tier: which distributors reorder, which are running low, and where new shops are coming in.
Search, maps and B2B directories all show one name and one contact, so new distributors and shops trust the brand before the first call.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
A short form, a review by the team, and a welcome kit.
Distributors reorder in a few taps and see this week’s scheme.
Every order confirmed where the trade already talks.
Search, maps, directories, website and WhatsApp Business, all matching.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyConsumer ads are off the table, so every asset speaks to the people who stock the brand.
Distributors already run on WhatsApp, so orders confirm there instead of asking them to learn a new app.
Reorders, stock and schemes in one place show where to add distributors next.
The same name, number and address everywhere a trader checks.
When reordering is easy and stock is visible, shelves stay full. When new distributors can find and trust the brand online, the network grows through the trade.
Next case
A migration-triggered pipeline that reaches enterprises the moment they retire an old HR or payroll system.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callAcquisition system · B2B SaaS
A migration-triggered pipeline that reaches enterprises the moment they retire an old HR or payroll system.
The case in 30 seconds
LiveCompanies only need Fuse when they move off an old HR or payroll system, and that window is short.
Tracking of migrations off six platforms from four public signal sources, a landing page per migration path, outreach about records and decommissioning, and a partner program with HCM implementers.
Fuse reaches buyers while the migration budget is already approved. It is tracked on named projects and go-live dates.
What I did
I built Fuse Analytics a pipeline that finds enterprises moving off an old HR or payroll system and reaches them before they switch it off.
How it was done
Who they are
Fuse Analytics archives and migrates legacy HR and payroll data, so enterprises can switch off old systems and still keep the records they must retain. Its buyers are large companies mid-migration, with budgets already approved.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
The parts of the system and what each one is for.
Platforms tracked
Workday, UKG, ADP, SAP, Dayforce, OracleSignal sources
Announcements, jobs, SI case studies, M&ARoutes in
Direct outreach and partnersWhat it’s timed to
Reach them when data gets urgentBar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Example accounts, illustrative
Step by step
When an enterprise moves to a new HR or payroll platform, the old system holds years of records it has to keep. That’s the moment Fuse is needed.
Implementation announcements, specialist job posts, systems-integrator case studies and mergers all point to a company with a legacy-data problem coming.
Each account lands on a page for its specific move, about historical records, validation and switching the old system off.
HCM implementation firms run these migrations. Each gets a repeatable legacy-data workstream, a scoping checklist and a clear way to bring Fuse in.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Announcements, job posts, integrator case studies and M&A, matched to six platforms.
Pages about records, validation and decommissioning for each move.
Messages tied to the account’s named project and go-live window.
A workstream, a checklist and an introduction path.
Qualified migration opportunities, partner-sourced pipeline and conversations tied to a go-live date.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyReach the buyer when the migration is funded and the question of historical data has become urgent.
A page and message for each platform move, instead of a general archiving pitch.
One implementation partner can surface several migrations, and each project becomes proof for the next.
Named projects with a go-live window.
The buyer already has money approved for the migration. Getting there at the right moment turns a funded project into an archiving contract.
Next case
A vertical go-to-market that makes a broad commerce platform the obvious choice for industrial distributors.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callAcquisition system · B2B commerce
A vertical go-to-market that makes a broad commerce platform the obvious choice for industrial distributors.
The case in 30 seconds
LiveAn all-in-one B2B platform is hard to explain. Buyers compared it with tools that do one thing they already understand.
A go-to-market for one vertical, industrial distributors: an account list, a demo of their own ordering week, a vertical landing page and a partner kit for agencies and ERP consultants.
Distributors see their own ordering problem solved in the demo, and partners can sell it without a long explanation. It is tracked on evaluations and technical discovery calls.
What I did
I built BetterCommerce a go-to-market for one vertical, industrial distributors, so a broad platform becomes an obvious buy.
How it was done
Who they are
BetterCommerce is an all-in-one B2B commerce platform: catalogue, pricing, ordering, quotes and integrations. A platform that does everything is hard to buy, so the work was making it obvious for one kind of buyer.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
The parts of the system and what each one is for.
Vertical first
Industrial parts, electrical, packagingWorkflows shown
Pricing, bulk, quotes, reorders, ERP, trackingPartner types
Agencies, ERP, PIM and OMSDemo built for the vertical
Their ordering problem, shownBar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Demo data
Step by step
A platform that does everything is hard to explain. Buyers compare it to tools that do one thing they already understand.
Distributors in industrial parts, electrical supplies or packaging with manual ordering, scattered catalogues or outdated portals.
The demo walks through account pricing, bulk orders, quotes, repeat orders, ERP sync and tracking for a distributor like them.
B2B ecommerce agencies, ERP consultants and PIM specialists get a reusable demo, integration notes and a joint discovery offer.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Industrial parts, electrical supplies and packaging distributors with manual ordering.
Businesses with manual ordering, fragmented catalogues or old portals.
Before-and-after workflow instead of platform terminology.
A reusable demo, integration guidance and a joint discovery offer.
Qualified evaluations, vertical demos, partner opportunities and progress to technical discovery.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyA narrow industry message makes a multi-capability platform easy to understand and easy for partners to sell.
Demos run on the distributor’s own workflow.
Every successful use case becomes a better demo and proof for the next buyer or agency.
When a distributor sees its own ordering problem solved in the demo, the evaluation moves faster, and partners can sell it without a long explanation.
Next case
Lead generation among high-net-worth Bitcoin holders for Coffer’s wallets and staking, backed by launch campaigns on X.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callHNI lead gen · Bitcoin DeFi
Lead generation among high-net-worth Bitcoin holders for Coffer’s wallets and staking, backed by launch campaigns on X.
The case in 30 seconds
RunningFor a staking protocol, a few large holders move more capital than thousands of retail wallets, and those holders don’t answer ads.
A target list of high-net-worth Bitcoin holders, warm introductions, one-to-one briefings on security and staking terms, and launch campaigns on X.
A running pipeline from first briefing to wallet opened to BTC staked, one holder at a time.
What I did
I run lead generation for Coffer Network: finding high-net-worth Bitcoin holders and bringing them into Coffer’s wallets and staking.
How it was done
Who they are
Coffer Network is a smart account layer for Bitcoin that lets holders put BTC to work in DeFi and staking from wallets secured by Bitcoin’s own multisig. Its site lists Draper Associates, Boost VC and Sats Ventures among its investors. A handful of large holders can move more capital than thousands of small ones.
What I delivered
The numbers
The parts of the system and what each one is for.
Who I reached
Founders, family offices, long-term holdersPrivate briefings
Warm intros, one holder at a timeProducts sold
Wallets and stakingLaunch campaigns
Worry first, proof secondBar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Next step
Private walkthrough of the vault and staking termsYour Bitcoin, working in DeFi, without giving up control of your keys.
Step by step
For a Bitcoin DeFi protocol, one family office or founder with a large BTC position is worth more than thousands of small wallets.
Warm introductions and private briefings that walk each holder through security, risk limits and staking terms.
Each post and briefing took one fear and closed it with one claim the product can prove.
Who holds my keys?
Security you set, on Bitcoin multisig
Hidden risk
Risk limits you choose
Black-box minting
Execution you can verify
Idle Bitcoin
Staking without leaving Bitcoin
Launch posts written for custody-wary holders, with animation wherever a diagram says it faster.
Your Bitcoin, working in DeFi, without giving up control.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Holders with large BTC positions and a reason to want yield.
Introductions through people the holder already trusts.
Security, risk limits and staking terms, walked through live.
Worry-first posts with one provable claim each.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyA few large holders move more than a big audience of small wallets.
Security and risk first, staking second, a small first deposit third.
Every post makes one claim, and the product can show it.
A high-net-worth holderLarge BTC position
A retail followerSmall wallet
For a staking protocol, value locked is the business. A pipeline of high-net-worth holders brings in capital that a feed of retail followers can’t.
Next case
A data-led funnel that grows deposits through yield research and developer integrations instead of paid crypto promotion.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callAcquisition system · DeFi yield
A data-led funnel that grows deposits through yield research and developer integrations instead of paid crypto promotion.
The case in 30 seconds
DeliveredDeFi yield products usually buy attention with paid crypto promotion, which brings followers who leave.
A yield comparison tool as the front door, three example agents on MetaLend’s MCP server for developers, and a distribution plan through research communities and AI builders.
A deposit funnel that runs on useful data and tools instead of paid promotion, measured on deposits that stay after the wallet connects.
What I did
I designed MetaLend a deposit funnel built on useful yield data and developer tools, instead of paid crypto promotion.
How it was done
Who they are
MetaLend put every DeFi lending pool behind one API and app, with a remote MCP server so AI agents could look up yields and positions. Its site lists MetaMask, Consensys and Circle as partners, with Sherlock for security.
What I delivered
The live site
Captured from the live site. It scrolls by itself while it’s on screen; scroll it yourself any time.
The numbers
The parts of the system and what each one is for.
Yield comparison tool
Pools, rates, liquidity, riskMCP examples
Research, reports, alertsCommunities
Research, directories, newsletters, AI buildersDeposits, the real metric
Measured after the wallet connectBar widths are illustrative.
What I built
What I built, as the buyer and the team see it.
Read-only by default
Step by step
Promoted posts and influencer deals bring wallet connects and followers. Few of them deposit and stay.
A yield comparison that explains pools, live rates, liquidity, withdrawal terms and protocol risks in plain words.
Read-only examples on MetaLend’s MCP server: a yield research assistant, a portfolio report and a liquidity alert, published open source.
Wallet connects, first deposits, retained deposits, net flows and integrations, each tracked on its own.
Every workstream
What was built, what it is meant to move, and where it stands. Tap a row for the detail.
Transparent rates, liquidity, withdrawal terms and risks.
A research assistant, a portfolio report and a liquidity alert.
Research communities, developer directories, newsletters and AI-agent builders.
Wallets, first deposits, retained deposits, net flows and integrations, tracked separately.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyIn DeFi, clear risk communication and retained usage matter more than a spike in attention.
Integrations start read-only. Anything that moves money needs clear authorisation and user review.
Recurring yield research is built to get shared, so developers find it without ad spend.
Paid crypto promotionPay per post
Data and developer toolsBuilt once
Useful data and developer tools are built to bring in users who deposit and stay, without paying for promotion that brings followers who leave.
Next case
Launch campaigns on X for a Bitcoin horse-racing game’s genesis drop and its launch.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callX launch · Bitcoin game
Launch campaigns on X for a Bitcoin horse-racing game’s genesis drop and its launch.
The genesis drop opens in
Connect a wallet, claim a free Trainee horse
The case in 30 seconds
LaunchedA Bitcoin horse-racing game needed people ready on two dates: the genesis drop and the game launch.
Two launch campaigns on X: a countdown to the drop, one post per game idea, and a free trainee horse for every wallet.
Both launches ran on X, built around three actions: follow and know the date, mint on drop day, connect a wallet on launch day.
What I did
I was on the team that built Bitcoin Derby and ran its launches on X: the genesis drop and the game launch.
How it was done
Who they are
Bitcoin Derby is a horse-racing game on Bitcoin: collect Equinals, race them, stake them and bet on races. It’s backed by Draper VC and Boost VC. I was on the team that created it and ran its launches on X.
What I delivered
The numbers
The parts of the system and what each one is for.
Campaigns on X
The drop and the launchGame ideas explained
One post eachHorse per wallet
The widest door inDate to plan around
The dropStep by step
Collectors decide in one scroll. Racing, betting, trading and staking is a lot to explain in a post.
The drop was built around owning one of the first horses, with a date collectors could plan around.
The genesis Equinals drop is coming. Own one of the first horses on Bitcoin.
02:14:09
Until the dropLaunch day moved the message from owning to connecting and racing.
Horse types, races, staking and betting each got their own post.
Every post points at one action
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanyThe drop campaign sold owning one of the first horses, with a date collectors could plan around.
Any wallet that logs in gets a free Trainee horse, so the message moved from owning to racing.
Education posts for new wallets as races moved from Beta to Alpha.
Followers who know the date, collectors who mint on drop day, and wallets that connect and claim a horse on launch day.
Next case
Growth consulting for three D2C brands: the doubt that stops a first order, and the reason people order again.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a callD2C growth consulting
Growth consulting for three D2C brands: the doubt that stops a first order, and the reason people order again.
What’s a nootropic?
Dripp
What’s in it?
Pawnaturale
Will it fit?
Fashexuber
The case in 30 seconds
OngoingThree D2C brands, a drink, a pet food and a menswear label, each losing first orders to one doubt.
One angle per brand that answers that doubt in the ad, creative tests, page fixes, and a plan for the second order.
Each brand now has one clear angle and a second-order plan. The work is tracked on cost per first order, second orders and returns.
What I did
Through Amplify X I consult for three D2C brands: find the doubt that stops a first order, answer it in the ad, and plan the second order.
How it was done
Who they are
Through Amplify X Digital I consult for D2C brands. Each pays for its first order and earns on the ones after, so the work centres on the first-order doubt and the second order.
What I delivered
The numbers
The parts of the system and what each one is for.
Brands
Drinks, pet care, menswearFirst-order doubts
One per brandOrder focus
Planned from day onePlaybook
Across three categoriesStep by step
Each brand had its own reason a stranger hesitates.
Dripp
What’s a nootropic?
Pawnaturale
What’s in it?
Fashexuber
Will it fit?
Use-case hooks, open ingredients, and sizing as a promise.
Dripp
The 3pm slump, focus without jitters
Pawnaturale
Open ingredients, plain answers
Fashexuber
Real bodies, a sizing promise
Subscriptions, refill timing and complete-the-look bundles.
Outside Amplify X, a French-language campaign for Cuure, a French supplement brand.
The working
The detail behind each step, for anyone who wants to see the working.
Get this for your appcompanySell the use case: the 3pm slump, the late study session, focus without the jitters.
Open ingredients and plain answers to the questions owners already type into Google and AI tools.
Clothes on real bodies in real outfits, and sizing as a promise.
Lower cost per first order, more second orders, fewer returns.
Next case
2.5x more revenue per user from one paywall test, plus the email, retention and Mixpanel work behind 145K+ installs on iPhone and iPad.
30 minutes, free
Book a call. You leave with the three leaks I’d fix first in your funnel, and what each one is worth.Book a call. You leave with the three fixes I’d make first to bring in more buyers, and what each one is worth.
Book a call012345678901234567890123456789K+
installs on iPhone and iPad, Runout Poker
$012345678901234567890123456789K
a year saved on ad production, Drawdown
0123456789.0123456789M
views on one YouTube Short, PeerMetals
0123456789.0123456789★
on the App Store, Blackjack Wiz
Building an app got easy.
Shipping one got fast.
Getting it to the right people never caught up.
So I became the wingman.
One person on the whole stack: leads, search, ads, conversion, retention and the numbers.
I handle
Built for
From my first design job in 2020 to growth for apps and brands.
2020
My first job. I started out designing.
Then
Moved to a new team and into project management roles.
Amplify X and freelance
Built D2C brands like Dripp, Pawnaturale and Fashexuber, and worked on more. Mostly CRO.
Freelance
A run of freelance projects, then growth for PeerMetals through organic search and content.
Runout Poker
Joined Runout as its first designer and the analytics guy. It turned into growth hacking, and I became Growth PM.
Now
Growth at Runout, and consulting and freelance growth for apps and brands on the side.
2020
First job, as a designer
“I want every good product to find the people it was built for, and get paid for it.”
More leads and paying users from one growth hacker who runs the whole stack: search, ads, lead gen, conversion and retention.
Book a callYou bring the product. I find who buys, get leads coming in through search, ads and lead gen, then fix every step until they pay. Apps or brands, the steps are the same.
Qualified leads and buyers from search, ads and lead gen
Paywall, pricing and offer tests, read on revenue
One growth hacker on the whole stack, from the first click to the renewal
Every result read in your own Mixpanel, CRM and analytics
Hooks from real reviews and survey answers
Onboarding that gets them to the good part faster
Trials and plans tested on real revenue
Pages that rank and get named in AI answers
Win-back and retention emails that bring them back
Pipelines, distributor systems and search for manufacturers and B2B. The same method, built for longer sales.
See the brands workSearch, ads, lead gen, landing pages, onboarding, paywalls and email, each one tested and read in your own dashboards. One system that keeps leads and paying users coming.
jodha.Start with a free teardown.
Who they are, what they want, the words they use and why they pay.
Mixpanel, store data and recordings show where people slip away.
Paywall, onboarding, ads, pages and emails, two to four tests a month.
Winners roll out and the budget follows them.
Receipts
Every number comes from the client’s own dashboard, a store listing or a public search result. Apps, a bullion marketplace and a health-app family.
#1
on Google, and named in the AI Overview, for “peer to peer precious metals marketplace”
PeerMetals
145K+
installs on iPhone and iPad
Runout Poker
4.5★
from 1,263 ratings on the App Store
Blackjack Wiz
$240K
a year saved on ad production, with one AI ad engine
Drawdown Brands
7.3M
views on one YouTube Short, at $0 a click
PeerMetals
56
purchase events a day, up from 10 to 15, once the 7-day trial went live
Blackjack Wiz
Blackjack Wiz
“10 to 15 purchase events a day became 56 when the 7-day trial went live.”
Runout Poker
“A beginner trial earned 2.5x the revenue per user of the hard paywall.”
Drawdown Brands
“$240K a year saved on ad production, with one AI ad engine.”
PeerMetals
“#1 on Google for ‘peer to peer precious metals marketplace’.”
PeerMetals
“7.3 million views on one YouTube Short, at $0 a click.”
Runout Poker
“A release that cut paywall reach from 64% to 34%, caught in Mixpanel and fixed.”
Blackjack Wiz
“10 to 15 purchase events a day became 56 when the 7-day trial went live.”
Runout Poker
“A beginner trial earned 2.5x the revenue per user of the hard paywall.”
Drawdown Brands
“$240K a year saved on ad production, with one AI ad engine.”
PeerMetals
“#1 on Google for ‘peer to peer precious metals marketplace’.”
PeerMetals
“7.3 million views on one YouTube Short, at $0 a click.”
Runout Poker
“A release that cut paywall reach from 64% to 34%, caught in Mixpanel and fixed.”
Want more leads, buyers or paying users? Send your link. The teardown comes back within 3 working days, free.
Tools I work in
The short version: it’s your dashboards, your tools, and one person who owns the result.
Book a callStudy who pays, find where people slip away, build and test the fixes, then scale what wins. Every result is read in your own dashboards.
No. I work in your Mixpanel, store consoles, Meta, Search Console and analytics, and I add only what’s missing.
The teardown comes back within 3 working days. After that, the 90-day plan shows what ships each month, in your own dashboards.
Yes. For brands the same steps become account lists, pipelines, distributor systems, search and AI answers.
Retainers start at $2,500 a month. The teardown and the first call are free.
With me, directly. I work alongside your developers and designers, and I own the result.
Your app’s store link or your website.
Pick all that apply.
Send it by email or WhatsApp. It opens already written, and nothing is sent until you press send there.
Or message me on Discord: jodha4097. You hear back within 3 working days.
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