Profitable growth in a post-identifier world | UGC & video ad creative production to drive ROAS & scale

I help mobile app companies–including gaming companies like Applovin, East Side Games, Jam City and Scopely, and apps like Bumble, Lingokids, Mojo and FitMind(among others) –acquire new users and achieve profitable, scalable growth in a Generative-AI world.

Offering both managed user acquisition services and done-for-you creative production for teams running their own ads, our clients have continued to not only grow after Apple’s privacy changes, and many have seen their ROAS improve by an avg. of 20-40%.

The secret to our clients’ success is the combination of our deep expertise from having produced 10k+ ads and managed over $100M in ad spend, and our ability to rapidly produce UGC and video ads at volume that can be used to dial in exactly what works, and discard what does not.

📹 HOW WE DO IT📹 

Leveraging a combination of both human and AI creators, we’re able to rapidly produce UGC & video ads that are based on rock solid strategy and research. By testing 50+ (or more) variants a month even at small budgets with our signature rapid testing and iteration process, we’re able to rapidly isolate key elements of winning UGC. This is essential, with our data showing that the tiniest changes can lead to outsized performance.

💻AI VIDEO YOU ASK?💻

Yes, AI video. Now not just AI video, we use both human and AI creators. With the advent of AI we’ve been able to rapidly scale and test in a way we could not before. While many in the industry worry that AI 
Creative appears robotic and doesn't invoke emotion, we’ve found it depends on the inputs you give and the strategy behind your ads. 

📈 RESULTS CREATED📈 

-70% ROAS uplift and 69% CPI improvement for Adventure Communist, an idle-clicking game.

-Tested 100+ creatives for Games2Win, drove 350K+ installs, and 100% increase in ROAS.

-Unlocked month on month growth for hampr, a hyperlocal laundry app while improving cost per purchaser by 55%.

🏎GET STARTED🏎

Reach out here on LinkedIn to get a free consultation on leverage AI-fueled creative production to supercharge your growth.

Email us at: hi@rocketshiphq.com

Shamanth M. Rao

🧠 This is the breakthrough that made AI headshot generation possible

📍 We often think of AI progress as magic - but it’s really a story of simple extrapolation.

I spoke to Rohan Khadatkar, Head of Marketing at InstaHeadshots, on Intelligent Artifice, about how one key technological leap unlocked the entire category of realistic AI headshots.

Here’s how he explained it 👇

ChatGPT made “text to text” easy to grasp.

You type a prompt (text input) and get an intelligent text output. 💬➡️💬

Now, extend that same logic - 
🖼️ text → image
🎵 text → music
🎙️ text → voice

That’s where the next wave of AI breakthroughs began.

In the text-to-image world, the first big leap came when researchers built models that could take a text description - say “a red apple on a table” - and generate a photo-realistic image that looked like a real apple. 🍎

The next leap - the one that made AI headshot generation possible - was even bigger.

It was the ability to take just 8-10 images of a person and train a model to learn their identity. 🧩

Once that became possible, tools could generate realistic portraits that looked like the same person - across different poses, styles, and lighting.

That was the foundation on which the 2023 headshot generation revolution was built. 🚀

From a few sample photos → to a full digital identity.

A tiny dataset - a massive leap.

🎧 Full conversation with Rohan Khadatkar on Intelligent Artifice:
https://lnkd.in/dKSbwGJG

🚀 20-40% ROAS increase for mobile apps in 60 days | AI-fueled UGC & video ad creative production 📹 | 3x Exits | $100m+ ad spend | Meta, Google, TikTok partner

📬 I analyzed 70 ads for Fyxer AI ($17mm ARR AI app)

52% of their ads focus on this BIG emotional trigger….

Relief from overwhelm:

→ Inbox zero before 9am
→ "Drowning in emails?"
→ How I sleep knowing my emails are drafted and organized.

Which probably means... it's working. 

But there's more going on behind the scenes - so I ran it through my Sherlock Holmes Investigator Agent. 

It analyzed every single frame and conducted semantic analysis across the entire ad library - and then I checked it against what I was seeing manually. 

This is how their ads break down:

📝 𝗡𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝗙𝗹𝗼𝘄
↳ Problem → AI solution → transformation
↳ Storytelling showing time saved and productivity gained

💢 𝗣𝗿𝗼𝗯𝗹𝗲𝗺s
↳ Endless unread emails draining focus
↳ Feeling buried in work emails
↳ Losing hours to inbox triage

⏳ 𝗨𝗿𝗴𝗲𝗻𝗰𝘆
↳ "Experience inbox zero by 9am"
↳ "Start your free trial"
↳ "Overdue replies"

📈 𝗖𝗿𝗲𝗱𝗶𝗯𝗶𝗹𝗶𝘁𝘆
↳ "Start your free trial, no card required"
↳ User testimonials and trust markers

🌸 𝗔𝘀𝗽𝗶𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻𝘀
↳ Get to inbox zero by 9am.
↳ Calm mornings and nights.
↳ Get more done without opening another tab

In our full breakdown, I share insights from the ad analysis our system ran, including:

✅ Effortless productivity: "Inbox Zero in minutes, not hours"
✅ Liberation from overload: "Reclaim your time from endless emails"
✅ Smart automation: "Your AI that manages replies while you focus on real work"

Full Notion analysis is here: https://lnkd.in/dsZ7S86c

And if you want me to analyze your competitors ad libraries and see what angles we can find... drop me a DM / email: shamanth@rocketshiphq.com

Happy to run a few for free.

𝗜 𝗮𝗻𝗮𝗹𝘆𝘇𝗲𝗱 𝟱𝟬+ 𝗕𝗮𝗯𝗯𝗲𝗹 𝗮𝗱𝘀 𝗳𝗿𝗮𝗺𝗲-𝗯𝘆-𝗳𝗿𝗮𝗺𝗲 with AI. Every subscription app founder going into Q5/Q1 should internalize these 5 learnings.

When I ran them through 𝗕𝗿𝘂𝘁𝗲𝗙𝗼𝗿𝗰𝗲 𝗔𝗜 frame-by-frame, I found 5 psychology patterns that drive their wins.

𝟭. 𝗔𝘁𝘁𝗮𝗰𝗸 𝗖𝗼𝗺𝗽𝗲𝘁𝗶𝘁𝗼𝗿𝘀 𝗪𝗶𝘁𝗵 𝗩𝗶𝘃𝗶𝗱 𝗔𝗻𝗮𝗹𝗼𝗴𝗶𝗲𝘀 
↳ "Switching from my old language app felt like going from a rustmobile to a Ferrari" 
↳ They reference 'gamified apps' without naming competitors.

𝟮. 𝗨𝘀𝗲 𝗖𝗼𝗻𝗰𝗿𝗲𝘁𝗲 𝗧𝗶𝗺𝗲𝗳𝗿𝗮𝗺𝗲𝘀 
↳ "Have real conversations in three weeks" 
↳ Not "learn fast" 
↳ Not "fluent soon"
Three weeks feels achievable but ambitious.

They show it across formats. 
↳Suspense hooks. 
↳Interactive ads. 
↳ Before/after split screens with date labels.

𝟯. 𝗛𝗮𝗺𝗺𝗲𝗿 𝗢𝗻𝗲 𝗖𝗹𝗲𝗮𝗿 𝗖𝗿𝗲𝗱𝗲𝗻𝘁𝗶𝗮𝗹 
↳ "Built by 200+ language experts" 
↳ They repeat this across every ad format 
↳ Travel testimonials, creator POV, competitor contrasts

Repetition compounds trust.

𝟰. 𝗘𝗺𝗽𝗵𝗮𝘀𝗶𝘇𝗲 𝗘𝗮𝘀𝗲 𝗼𝗳 𝗣𝗿𝗼𝗴𝗿𝗲𝘀𝘀 
↳ "You only need 10 minutes a day"
↳ Morning coffee rituals
↳ Freelancer on the go 
↳ Pre-work routines

They show real people fitting lessons into everyday life.
Removes excuses before they form.

𝟱. 𝗨𝘀𝗲 𝗥𝗲𝘃𝗲𝗿𝘀𝗲 𝗣𝘀𝘆𝗰𝗵𝗼𝗹𝗼𝗴𝘆 

↳ "The pronunciation is too good" 
↳ Frame benefits as complaints
↳ "I regret learning too fast"
Every ‘complaint’ is actually a flex.

It subverts expectations. Makes benefits more memorable.

𝗧𝗵𝗲 𝗯𝗶𝗴𝗴𝗲𝗿 𝗹𝗲𝘀𝘀𝗼𝗻:
Show them what life looks like after switching. Make the contrast impossible to ignore.

That's why these ads work longer and power Babbel's creative engine that has driven 18 million subscribers.

Want the full breakdown with actual examples you can apply?

Drop "𝗕𝗔𝗕𝗕𝗘𝗟" in the comments 👇

I'll send you the complete analysis.

We Launch

Everything Agency for SaaS businesses. 

Joined these three companies at logos, scaled them bootstrapped, helped them raise and got them and exit. 

- Livlyt (B2B, acquired by ZenAdmin) 
- Augmental.Education (acquired by CME) 
- Rehook.ai (acquired by CleverTap) 

More logos- 

- Taxaroo: $2M ARR, from logo to GTM 
- Sequifi: $7M seed raised, scaled HRIS to $2M bootstrapped only for Homeservice industry 
- Stylumia: $1M seed, 2mn ARR
- Dive Games 
- Offdays 
- Clear Mortgage 
- Upgrade Chat 
- Sperse 
- Charge Keep 

- And, some Course Creators: 
Adamhouse Senior ($2M+ quarterly revenue from zero), David Meltzer (community of 5,000+ entrepreneurs, $2M/quarter), Shawn Nason (scaled to 100K LinkedIn followers)

Agency's and Others:
Brandmultipier.ai(SaaS Branding Agency), VanBhoj (A sustainable travel business) etc.

Founder and CEO

Unacademy

- Led acquisition and merger for Spayee (23mn)
- Scaled Spayee - now Graphy 
- Unacademy valuation - 3.5Bn vested

Associate Director

BitClass

- EdTech Startup | Found, scaled, Exit
- Scaled team from 3-150
- 5000 moms monetized in the pandemic 
- Awarded by google for max watch time

Vice President

udaan.com

- Scaled Supply 
- Scaled Demand 
- Grew 300% MOM 
- Launched Field Tracking App

Regional Lead

Toppr

- First Employee 
- Knocked doors closed sales 
- Scaled model 
- Led 3 mn in revenue 
- Exit at 150mn

Sales Representative

Triumph Motorcycles Limited

Started as a technician. 
Didn’t find the money and didn’t like having my hands dirty 
Started selling 
Sold over 30 bikes in an year

Sales Associate

GTM Leader with AI super powers. Deployed Sales agents in over 40 businesses. Closed 50mn in Revenue till date.

The charming business consultant from New York. Wears formals, talk straight and knows his clients really well. 

Doesn’t like average, knows how to cook, clean, run business and lift heavy. 

Grinding since 2017, hired and fired over 1000 people till date, one of the best recruiters you have ever met. 

Scaled 2 unicorns, and have invested in over 13 companies. 

Runs a business agency called Welaunch, for the looks of it has onboarded Mercedes and other big brands, and for the fun of it and cash flow works with VC backed businesses. 

Because, I know how to scale businesses started Johnny AI, the AI back office for home service businesses in The world. Bootstrapped it to 2 mn in ARR and scaling 5 enterprise businesses plus luxury businesses at WeLaunch. 

Loves to try new food, lifts heavy and is cocky. Has values, and has a moral code of conduct. 

Walks straight, and has a fire in his heart. 

That’s me. 

Aviral Bhutani 🧘🏻‍♂️

I’ve grown Welaunch to seven figures with a 15-person team - but this week reminded me of something most founders forget.

Nothing scales alone anymore.

We all obsess over the “one funnel,” the “one viral post,” the “one outbound motion.”
But in 2025, that mindset is outdated.

I’ve spent the last few days re-evaluating our own systems, and the pattern is loud and clear:

The businesses that win aren’t running isolated playbooks - they’re orchestrating ecosystems.

Traditional channels? Still winning.
Partners? Still printing pipeline.
Content? Still doing the long-game heavy lifting.

But the real advantage comes when everything talks to everything.

Lead gen fuels demos.
Partners fuel warm leads.
Content expands reach.
Outbound tightens the entire loop.
Brand makes every touchpoint hit 10x harder.

It’s literally the same equation we learned in school:
symbiosis → survival → scale.

And at Welaunch, this is exactly what we’re building:

An ecosystem where funnels connect.
Where personal brands feed acquisition.
Where outbound, paid, content, and partnerships don’t just “work”…
They compound.

We’re not chasing hacks.
We’re building orchestration.
Because consistent growth doesn’t come from one perfect motion - It comes from motions that amplify each other.

2025 belongs to companies that think like systems, not silos.

And we’re all in on that.

If you want to make $M before the year's end, DM me, and we will take it from there

Some companies just crush it.
AirOps went from $2M → $8M ARR in six months.

Not because of hype. Not because they spent more money than everyone else.
Because they built a lean, tightly-orchestrated GTM stack that actually worked.

Most teams use 25–40 tools. And still move slowly.
AirOps used ~10 tools. And scaled faster than companies twice their size.

Here’s the pattern I noticed:

Content & Ads - the compounding engine

They knew visibility is everything.
Descript → rapid-turnaround video content
Circle → community-driven growth
Figma → fast visual production with AI
Fibbler → LinkedIn account-level engagement

Every post → a signal → a lead → pipeline.
Content didn’t just live on LinkedIn. It fed the entire GTM flywheel.

Outbound - that listens

Outbound wasn’t random. It was signal-driven.
Reply → multichannel outreach
Clay → account mapping + enrichment + workflow triggers
Common Room → intent scoring
Trigify.io → trends & social signals
Smartlead → scale email, land in primary inbox
Attention → conversation intelligence

The difference is Outbound worked because it responded to data, not guesses.

Product analytics - know what actually works

Hex → analytics + exploration
Amplitude → onboarding & behavior insights
Metabase → dashboards & BI

Sales, marketing, product - they weren’t silos. They were a single loop.

Website & analytics - your signal hub
Webflow → CMS + growth layer
HockeyStack Agent → attribution + journey tracking

Your website isn’t a brochure. It tells you who’s interested, and what’s actually working.

Hiring & team comms - scale without chaos
Juicebox → AI-led recruiting
Loom → async collaboration

A lean GTM stack → fewer breakpoints → faster compounding.
Most companies don’t have a tool problem.
They have a systems problem.

Unify content, outbound, analytics, and product into one operating system, and ARR scales faster. With less stress.

If you want to see how to build a GTM OS like AirOps, comment “OS” or DM me “OS”.
I’ll share the full breakdown and how to implement it for your team.

When I started my company three years ago, I had $200 in the bank and one question:
What am I actually good at? I went back to India and asked my dad.
He said, “You can sell.”

So I did. I started an agency. Productised myself.

I still remember my first client, $500, after three months of no sales.
I spent days doing manual LinkedIn outreach for an EdTech company in Dubai.

Manual scouting, late nights, all for a chance to prove I could build something real.
And slowly, the climb began.
Cold calls → $10k deals → $100k deals → a profitable company from scratch.
Every step felt impossible until it wasn’t.

But I also learned the hard way:

1. Manual work keeps you small.
2. Hiring without systems is preparing yourself for failure.
3. A pipeline built on hope isn’t a pipeline.
4. Tools don’t matter if nothing connects.

If you don’t track your numbers, they will humble you.
These lessons became the foundation for WeLaunch,
a GTM OS built so founders can scale without repeating every mistake I made.

A system where:

- The pipeline is predictable,
- growth is automated,
- And your time finally goes where it matters.

Because the climb is hard enough, the GTM shouldn’t make it harder.

There are two ways to win in life:

1. Ride the AI wave
    OR
2. Go in the opposite direction.

We chose #1.
And in 90 days, our ABM system generated $2M in pipeline.
Here’s exactly how it worked-and how most B2B orgs can reproduce it:

Step 1: Build your initial list
- We analyzed closed/won accounts to model our ICP.
- Used Ocean.io to find similar companies.
- Used Clay to qualify & enrich contacts.

Result: 1,250 high-potential accounts uploaded to LinkedIn Ads campaign manager.

Step 2: Prepare LinkedIn content for thought-leadership ads
- Analyzed 100+ qualified sales calls.
- Mined pain points, objections, and the exact words prospects used.
- Studied high-performing posts in the client’s niche with Taplio.
- Published content across active leadership profiles (CEO, CMO…).

Step 3: Promote content via LinkedIn Ads
- Every post became an ad creative in front of our 1,250 accounts.
- Tracked pipeline with GA4 UTMs.
- HubSpot tracked journey: impressions → engagement → pipeline.
- Fibbler measured an influence on the pipeline.

Month 1: activated MOF & BOF retargeting for warmed audiences.

Step 4: Re-engage ICP fit via warm outbound
- Monitored likes & comments via Clay.
- De-anonymized visitors using Instantly.ai / RB2B / Midbound.
- Routed qualified leads into automated sequences via Instantly.ai.

Result: $2M in pipeline. 90 days.

Ivan Falco calls this “Creator-led ABM.”
I call it a GTM Flywheel:
LinkedIn Ads ↔ Outbound ↔ LinkedIn Content
Each channel feeds the other. One system. One flow. One objective.

AI amplified everything. Every insight. Every touchpoint. Every creative.
We were ahead of the AI curve, and that made the difference.
If you want us to implement this for you, send a DM.

When I started my company three years ago, I had $200 in the bank and one question:
What am I actually good at?

I went back to India and asked my dad.
He said, “You can sell.”
So I did.

I started an agency. Productised myself. I still remember my first client, $500, after three months of no sales.
I spent days doing manual LinkedIn outreach for an EdTech company in Dubai. 

I needed more revenue, so I doubled down:
- Outperformed my numbers
- Posted content from the CEO’s profile to generate leads
- Wrote blogs
- Integrated analytics on their website

I tracked everything. Every click, every reply. Every campaign became data.
Three months later, my retainer jumped to $10k/month. 
The company raised funds. Later, it was acquired for $150M.

Since then, I’ve run over 4,000 campaigns, recording exactly what works, what copy gets opens, what copy drives sales, and how channels interact.

Here’s what I realised: most GTM advice is wrong. 
People ask: Should I double down on outbound or inbound?
The problem isn’t the channel. It’s thinking channels work in isolation.
Growth takes off when one channel fuels the next.
This is Allbound GTM.

Alex Vacca and Michael Lieben built it at ColdIQ. 
Social posts, ads, cold outbound, they live inside one operating system.
Not three tools. Not three teams pulling in different directions.
One system. One flow. One flywheel.

Here’s the loop:
- Publish content that attracts the right people.
- Followers and post engagers flow into your data layer.
- Ads warm similar audiences who would otherwise stay ghosts.
- Ghosts are de-anonymised: names, roles, tech stack, intent.

The system routes contacts into two streams:

1. Automated outreach for low-friction touches
2. Manual outreach for high-intent accounts
3. Ads and newsletters keep the conversation alive.
4. Sales converts the momentum into revenue.
5. Proof flows back to social through case studies and founder posts.

One flywheel. No silos.
Two things make it work:
- Data routing: Every touch moves through a single pipeline with an owner, message, channel, and escalation.
- Lead scoring: 20+ intent signals: tech changes, hiring patterns, site depth, recency, reply quality.

This is what I’ve been building for three years. Today, we call it the OS for GTM.

Next Monday, we launch the full-blown OS. We’ve piloted it with 5 VC-backed companies, and it works.

And next week, we’re giving you a free mini GTM tool. Put in your website, and it returns a personalised Allbound GTM report with three plays you can ship in 30 days.
For the right person, this is easily worth $5k+.

The question isn’t inbound vs outbound.
The question is: do you have an operating system that makes one engine fuel another?
One system. One flow. Allbound.

Comment "GTM", and I'll get on a call with you.

Here’s the exact GTM workflow that signed us 70+ high-ticket clients, and will probably piss off anyone still relying on “spray & pray” outreach:
Step-by-step :
1. We publish 250+ LinkedIn posts/month.
Taplio shows us which posts punch above their weight.

We break down why they work ; hooks, angles, visuals, emotional triggers.

Then we build content around one thing: solving the problems our ICP wakes up with.

This works insanely well. Goal: push to 500+ posts/month across the team.

2. We spend $10K+/month amplifying our best content.
We measure what actually drives qualified meetings.

We track which ICP persona converts.

Then we boost those posts directly in front of those personas.

Paid distribution → unfair advantage.

3. We identify warm intent the moment it happens.
Website visits? Instantly + Midbound catches everything.

LinkedIn engagement? Clay captures all “silent fans” — the people who stalk but don’t book.

No more anonymous traffic and no more missed intent.

4. All warm leads → Clay.
The entire pipeline becomes a data engine.

5. LLMs Tier, Segment & Score every prospect.
Claygent researches inbound leads at scale.

OpenAI prompts segment prospects like a human SDR team on steroids.

Outreach happens instantly across LinkedIn, email, and phone.

Speed = bigger close rates.

6. We enrich everything before outreach.
Emails: Prospeo, LeadMagic, Wiza.

Phone numbers: Prospeo, FullEnrich.

Enrichment is your conversion layer. Don’t cheap out.

7. We run multi-channel on every warm lead.
Short, sharp, valuable messaging.

Lemlist for sequences.

Instantly for email.

Expandi for LinkedIn when needed.

The goal: show up everywhere at once, politely.

8. The output?
1,500+ meetings booked in 2025.

$3M+ ARR closed directly from this system.

35+ team members hired.

$6.5M+ in revenue.

Clients closing $500K+ with 3–10x ROI.

This isn’t “outbound.”
This is a compound GTM system.
P.S. If you want me to break down this workflow for your GTM and show you exactly where the leaks are, I’m opening a few free strategy sessions this week.

Book a call with me to get started.

I used to think LinkedIn DMs were a joke.
A digital slot machine everyone pulls…
And almost no one wins.


Then we created this AI-led outbound and started booking 20 demos a month.
Then it started closing 5 of them, each at a $30K MRR AOV.
Suddenly, the “joke” wasn’t so funny.


They blame their SDRs.
They blame the platform.
They blame “people not checking LinkedIn.”


But here’s the truth no one likes to say out loud: 
Your agent doesn’t suck, your system just might.


For three years, the WeLaunch team has lived inside outbound.
Every day.
Every touch.
Every experiment.


We’ve run enough reps to see the patterns others miss.
And eventually… a framework emerged.


A simple, repeatable sequencing system that our AI agents now execute with precision-level timing, tone, and context. The kind of thing humans want to do, but rarely do consistently.


Here’s what we optimized:


- The timing of the first message.
- The delay before the follow-up.
- The trust-building arc across touches.
- The word count before a link feels aggressive.
- The subtle qualification that doesn’t feel robotic.
- The forward motion that never feels forced.
- This is the difference.
- Sequencing.


Most people DM like amateurs:
- Too fast.
- Too long.
- Too pitchy.
- Too generic.


So prospects pull away.
We rebuilt the flow.


And when the flow feels right, something funny happens:
By the time the calendar link appears, the deal is already emotionally closed.


If you want to see how our AI agents run the exact sequencing framework that books calls and closes high-ticket deals…


Send me a DM.
I’ll walk you through the whole thing.


Here is a link to book a free 30-minute strategy session with me:
https://lnkd.in/duTnpWbV

Outbound is the new inbound.
At WeLaunch, we’ve helped 100+ companies build their outbound motion, 
and what we’re seeing is wild.

The best outbound campaigns today?
They don’t feel like outbound anymore.
They pull buyers in.

Here’s a story.
Last week, we helped Mercedes-Benz Manhattan close 7 new sales.
Not from ads. Not from cold calls.
But from intent tracking.

Our AI agents monitor Reddit and X (Twitter) for conversations like:
“Thinking of switching from BMW, had another engine oil issue.”
When we find these signals, we backtrack the user, identify their social handles, surface their public profiles, and engage them through trusted community pages.

In this case? A Mercedes-themed account with a real following.
We reached out offering a federal tax credit and some exclusive perks.
Which resulted in a seamless migration.
That’s the future of outbound. 
Not blasting emails.
But catching intent in the wild,
& meeting buyers exactly where they already are.

Let's get on a call and I'll get on board with you. Here is my calendly link : https://lnkd.in/duTnpWbV

taplio

The Battle

Shamanth M. Rao

Aviral Bhutani 🧘🏻‍♂️

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The Battle

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Aviral Bhutani 🧘🏻‍♂️

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