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vibepreneur, co-founder of openchat, bootstrapped to $750k arr. now i'm building next big thing

520 following1k followers

The Entrepreneur

Ivan Sparrow is a savvy vibepreneur and co-founder who has bootstrapped his startup to a $750k ARR. He’s all about building profitable, scalable mobile app businesses through strategic paid advertising and data-driven marketing. Always forward-thinking, Ivan is currently in stealth mode working on the next big thing in the app ecosystem.

Impressions
150.2k-26.5k
$28.16
Likes
721-190
50%
Retweets
20-3
1%
Replies
165-50
12%
Bookmarks
524-36
37%

Top users who interacted with Ivan Sparrow over the last 14 days

@david_attisaas

Journaling my experiments as a weaponized autist. ✨ STOPPR ✨ soreel.app - 10X your SORA 2 videos ✨ whatsthe.app to show you're legit ($900)

4 interactions
@filippkowalski

Building mobile apps (mostly). Sold one for 6fig. Next goal: mobile app venture studio. readreviews.dev fkowalski.com/tools themobilefounders.com

3 interactions
@ivmirx

🚧 building indie apps 🌻 caring for the land ☸️ trying to stay heedful

2 interactions
1 interactions
@ilya_leletko

- Building B2C apps with my wife - Ex-marketing agency founder (8 years) 🎥 Sharing the journey on YouTube

1 interactions
@i_Kisliy

Most unlikely to succeed. iOS dev

1 interactions
@tomlai_io

husband & father. Help DTC brand to be creative and with SEO. DM me for work! seopulse.io | ohmy.ink

1 interactions
@appm8ker

comp sci in sd, fortune 100 eng & bootstrapper of $100k mrr apps. i just like building stuff.

1 interactions
@ZedCodeIO

SWE - cooking consumer apps following the greats. Will try to share my journey and numbers here as much as possible.

1 interactions
@SaidAitmbarek

bootstrapped founder building internet companies - microlaunch.net - launch, get reviews & first sales - stimpack: pmf + distribution - experimenting

1 interactions
@dennis_lysenko

App dev of 11+ years, AI-enhanced, 5MM+ lifetime revenue. Pro-mindfulness, proactive health, and cutting the bullshit from life nothing I say is medical advice

1 interactions
@Trentsickle

Seth Meyers is the least funny person in the known universe

1 interactions
@pawelkarniej

I build mobile apps for a living. Need an app? Contact me or check out silpho.com

1 interactions
@arielmichaeli

Building @appfigures and talking about ASO, apps, marketing, and business. Subscribe to my weekly newsletter → appfigures.com/newsletter

1 interactions
@joshmohrer

Building @WaveAppAI ex-Uber New York

1 interactions
@Foundercowboy

anon founder tweeting stuff that might otherwise lose me customers

1 interactions
@AliShazil_

Building AI-powered SaaS | Sharing tools, strategies & insights for creators & founders Built publishnode.com

1 interactions
@shiftj

YC Founder • Advisor/Coach • Investor • Scaled to millions w/ 0 followers. follow for real founder takes.

1 interactions
@steve_cook

thinker, builder, life enjoyer. | ruthless in my pursuits. | building @WhopIo apps

1 interactions
@zerotoviral

Building apps and shitposting along the way. Current side hustle: $3k MRR. Not my first rodeo 🤠

1 interactions

Ivan’s obsession with Apple Ads campaigns is so intense that if he tried to structure his sock drawer, there’d probably be 15 tiers, a couple of geo-segments, and a CPA cap for each color. Just remember Ivan, next time your ads don’t deliver, it might be your charisma that needs scaling—no exact match keyword for that!

Ivan’s biggest win so far is bootstrapping Openchat to a solid $750k annual recurring revenue without a dime of outside funding—proving you can start lean and win big by mastering the numbers and the hustle.

Ivan’s life purpose is to disrupt the mobile app industry by transforming indie projects into lean, data-driven companies that generate real profit and lasting value. He aims to empower founders with the operational know-how to scale smartly, turning dreams into repeatable business models.

Ivan values transparent financial modeling, rigorous testing, and relentless optimization. He believes success comes from disciplined ad spend strategies, deep market insights, and building systems that prioritize measurable returns rather than vanity metrics or short-term viral fame.

Ivan’s strengths lie in his analytical mindset, practical experience, and no-nonsense approach to paid advertising. He combines deep technical knowledge with business savvy, enabling him to create marketing engines that scale efficiently and profitably.

His focus on data, technical detail, and optimization sometimes risks missing the creative storytelling and emotional connection side of marketing, which can limit broader audience engagement. Also, his exhaustive approach to ad structuring could overwhelm less experienced founders.

To grow his audience on X, Ivan should share more bite-sized actionable tips, quick wins, and behind-the-scenes stories that balance his deep expertise with engaging, relatable content. Interactive formats like Twitter Threads, AMAs, and engaging polls could help him build a loyal, participatory community.

Fun fact: Ivan has personally spent over $260k on Apple Ads in a single year and has mastered the art of advanced campaign structuring to maximize ROAS — talk about putting your money where your mouth is!

Top tweets of Ivan Sparrow

So, it's the most complete Apple Ads guide. In the past year, I’ve spent $262,071 on Apple Ads. And here is everything I know. >>> Basic or Advanced? <<< I have no idea why Apple even launched the Basic mode. Sometimes it feels like it’s only there to steal your money. Always. Work. In. Advanced. Mode. No discussion. There are 2 stages when working with Apple Ads: - research stage - scaling stage You can skip the research stage, but only if you have a LOT of money and want to scale fast. Otherwise, don’t skip this step. >>> Research stage <<< The goal here is to identify the best-performing geos and keyword groups. At this stage, I’m actually ignoring the common “best practices” for structuring Apple Ads campaigns. I’ll explain what those are later. You should launch 2 campaigns: Tier 1: UK, Germany, France, Norway, Denmark, Finland, etc. Tier 2: Slovenia, Slovakia, Croatia, Romania, Poland, etc. Optionally, you can make a separate campaign for Greece, Spain, Italy, and Portugal or include these countries in the Tier 2 campaign. The key idea during the research stage is to concentrate your limited budget on as few campaigns as possible. If I had to choose, I’d start with Tier 2 only. What about Latin America, Africa, Southeast Asia and the Middle East? I’d avoid them at first. High population, low GDP per capita, and unstable economies. In many countries, you simply won’t get the right metrics. And the few that do work will require more time and money to find solid keywords. It’s better to come back to these markets only after you’ve fully worked through the Tier 2 countries. For example, in my project I’m focusing on 5 countries with a total population of 80m. The top performers are 3 countries with a combined population of 25m. And only 35% of them have an iPhone. That’s enough for me to spend $20-25k per month. >>> Broad Match vs Exact Match <<< I start with Broad Match and split keywords by thematic groups: one thematic group = one ad group. Example for fitness: - fitness (general) - abs (subcategory) - pilates (subcategory) - nutrition (general) - calorie tracker (subcategory) You get the idea. >>> Should I use a CPA cap? <<< Cool guys use CPA goal. I’ve tried both – still don’t have a strong opinion. Both work. >>> What’s next? <<< 1/ turn off low performers (geos and keywords) 2/ move top-performing geos into separate campaigns By the end of this phase, you should have: 1 campaign = 1 geo, with only the best keyword groups. Your goal is to find countries and keywords angles with the lowest competition and highest ROAS for your app. Time to move on to scaling. >>> Scaling stage <<< Goal: scale top-performing geos. Spend more while maintaining performance. However, we need to completely restructure our campaigns from the research phase. Why? - multiple keywords per ad group = mixed traffic (good + bad) - apple doesn’t distribute impressions evenly across all keywords - you can’t control spend per keyword except by raising bids I’m doing it in two stages as well. >>> Structure for scaling <<< >>> Phase A <<< you’re starting to restructure the campaigns to the following format: 1 campaign – multiple ad groups 1 ad group = 1 exact match keyword Exact Match reduces volume, but it increases relevance and traffic quality. Your goal is to identify the best-performing keywords for your app and eliminate the non-performing ones. I measure keyword performance in two steps: 1. If I spend the first $50 and get no trials and no annual subscriptions – I stop it. 2. If I spend $100 and my CPA (cost / (trials + 1y subs)) is above $20 – I stop it. My personal goal is to keep CPA under $15. But everyone should set their own KPI based on payback targets. If a keyword passes these first KPIs, I then start tracking trial-to-paid conversion and cost of payer metrics. This stage takes more time and budget to evaluate properly. >>> What is scaling? <<< How do you know if you can get more traffic from a specific keyword? Scaling Apple Ads can be done in several ways: 1/ by increasing bids 2/ by launching new countries 3/ by finding new keywords that can bring you positive ROAS 4/ by improving ad relevance I’ve already mentioned launching new countries and keyword research. With keywords, the process is basically endless – it takes a lot of time to fully test all possible keywords in Exact Match. We'll talk about increasing relevance later. Now let’s move on to bids. >>> Bids and SoV <<< So, when should you increase bids? And how do you know when further increases won’t help? a) If there’s no delivery, raise bids b) If you’re already getting spend on a keyword, look at Impression Share This metric shows how much of the available impressions you’re actually capturing for a specific keyword. Your job now is to hit a Share of Voice (SoV) of 70–90% on your top keywords (100% is impossible). Where to check SoV? In Custom Reports. Your Plan is: 1) Identify top-performing keywords 2) Adjust bids to hit 70-90% SoV At some point, you’ll see that only a few ad groups are driving most of the spend. Others stay idle. Which brings us to… >>> Phase B <<< This phase helps with scaling and finding new high-performing keywords. We move from: 1 geo 1 campaign many ad groups 1 keyword per ad group to: 1 geo many campaigns several ad groups per campaign 1 keyword per ad group Why split into multiple campaigns? To bypass the limits Apple imposes on ad group delivery. Ways to group ad groups into separate campaigns: 1) by keyword theme (as explained earlier) 2) by keyword difficulty (based on keyword tool data) 3) by keyword popularity (from tools or Apple Ads itself) You can even go deeper: |___Geo #1 |___Theme #1 |___Difficulty 5–30 |___Difficulty 50–60 |___ Difficulty 60–100 |___Theme #2 |___Difficulty 5–30 |___Difficulty 50–60 |___Difficulty 60–100 >>> Phase C <<< Thought Phase B was complex? hold my beer. Apple doesn’t give delivery to all ad groups within a campaign. Same problem as with keywords in an ad group. So we go deeper. We take all the non-spending ad groups and move them to separate campaigns. Each campaign enters its own auction and finally gets traffic. The process: Main campaign → pull out ad groups with 0 spend → place in a new campaign → wait for traffic → repeat until every keyword gets impressions Yes, it’s exhausting. Yes, it creates campaign chaos. And yes, it’s the only way to ensure all keywords get a shot. At least, I haven’t found a better way. You should aim for the following structure: |___Geo #1 |___Campaign #1 |___adgroup |___[keyword] |___Campaign #2 |___adgroup |___[keyword] etc. >>> What is ad relevance, and how can it help you scale campaigns? <<< Ad relevance in Apple Ads is how well your ad matches the user’s search intent. The closer the match, the more Apple favors your ad in auctions – and the cheaper your traffic becomes. In Apple Ads, you can link specific keywords to custom App Store pages. You can customize screenshots and text. Example: If your fitness app includes a calorie tracker, then for keywords like “calorie counter” show a custom page where the first screenshot highlights the calorie tracker. Yes, it’s time-consuming. But for proven keywords, this can boost IPM (Installs Per Mille) and let you spend more on them. Totally worth it. >>> How to measure Apple Ads Performance? <<< There are many metrics, but only one that really matters: ROAS. Not CPC. Not CPI. Only ROAS. To track it, use an MMP: RevenueCat (yes, not an MMP, but it works), Appsflyer, Adjust, Singular, anything that lets you attribute revenue down to campaign/ad group/keyword. This is mandatory. Not optional. Other important metrics: SOV – aim for 70–90% IPM (installs per 1000 impressions) – target 100+ CR (Tap) – 60–90%+ >>> Tools for Apple Ads automation <<< They exist. That’s all I’ll say for now. What annoys me in most of them? Their pricing model. % of ad spend. Seriously? Back when I was a marketing director, I would’ve loved to get paid % of budget. I’d never have left the job. Anyway – no solid recs yet. Open to suggestions. >>> P. S. <<< That’s everything I know for now. Again – just my personal approach. Might change later. Will keep you posted. And hey, repay me with a repost, like, and follow, deal?

10k

How to launch a mobile app in 2025 and scale it to $20k MRR in 21 steps Everything I’ve learned about launching and scaling mobile apps. If you’re building an app in 2025 – save this. You’ll come back to it. 1. Start with a financial model. Not what you expected from a marketing plan? Still, it's the foundation. You need to know the key metrics (CPI, ARPU, retention) that will help you break even and scale profitably. 2. Research your competitors. You'll need this at every step – from ASO to creatives for Meta Ads. Don't skip this. 3. Do ASO. It's almost free (just the tools). Done correctly, it will generate long-term, organic traffic. Even if you're betting on paid, ASO remains a solid foundation. 4. Set up tracking. You must track installs and attribute revenue. If you're running multiple paid channels, use an MMP like Appsflyer, Adjust, or Singular. No tracking = no understanding of what sources perform well. Additionally, set up Firebase, Facebook Pixel, and TikTok SDK. 5. Collect Apple Search Ads keywords. Reuse the ones from ASO. It's the same research. 6. Prepare ad creatives. Use Meta Ads Library and TikTok Ads Library. Study what your top competitors are running. Which ads are live the longest? Which ones grab your attention? Download them, swap out logos and screenshots with your own. 7. Launch Google Ads. It can be your top-performing source. You control very little: just GEOs and creative sets. Launch worldwide campaigns – group countries by tiers. Exclude Africa and low-income Asian markets. Don't overfocus on the US. 8. Launch Meta Ads. Easy to scale. Creatives matter most here. Optimize for conversions like trial and annual subscriptions, not just installs. CPI campaigns are mostly for warming up accounts and testing creatives. Use the same principles as Google Ads: launch worldwide campaigns, group countries into tiers, avoid focusing on the US, and exclude the largest and poorest countries. 9. Launch TikTok Ads. Start with the creatives that worked on Meta. Often, they'll perform here too. The same rules apply. 10. Launch Apple Search Ads. Highly targeted traffic. Don't start with the US. Combine geos to save money during early testing. 11. Set up Custom Product Pages. Boosts relevance and conversions in Search Ads and helps with organic keyword ranking. 12. Make original creatives. Once your paid ads are live, stop relying on copied creatives. Hire a video editor and start making your own. 13. Run influencer campaigns. This source is expensive and complex to scale. Only worth it if your app is viral by design. Hire someone or work with a small agency. 14. Build your TikTok organically. Hire creators to run your TikTok accounts. Or do it yourself: record videos or create slideshows. But it's better to outsource this. 15. Add a referral program. Often, a very effective way to acquire users if you can deliver real value. 16. Use Web to App flows. Better tracking. Often cheaper auctions. You also avoid store commissions. It's a must in fitness apps, but it also works in other niches. 17. Invest in blogs, reviews, and long-form content. LLMs (like ChatGPT) now influence app discovery. Having content out there helps your app get recommended. 18. Measure everything by ROAS. If a channel brings profit, scale it. Net profit matters, not just margin %. 19. Reallocate the budget to higher-ROAS sources. Continually optimize for the best return. That's how you scale efficiently. 20. Organic growth is great but slow. Paid traffic is what brings revenue fast. Use it to iterate quickly and learn what works. 21. No budget for paid traffic? Start with ASO and organic growth. Reinvest early revenue into ad tests. If your unit economics are positive, double down. Use debt to grow faster, not just profits.

4k

Most engaged tweets of Ivan Sparrow

So, it's the most complete Apple Ads guide. In the past year, I’ve spent $262,071 on Apple Ads. And here is everything I know. >>> Basic or Advanced? <<< I have no idea why Apple even launched the Basic mode. Sometimes it feels like it’s only there to steal your money. Always. Work. In. Advanced. Mode. No discussion. There are 2 stages when working with Apple Ads: - research stage - scaling stage You can skip the research stage, but only if you have a LOT of money and want to scale fast. Otherwise, don’t skip this step. >>> Research stage <<< The goal here is to identify the best-performing geos and keyword groups. At this stage, I’m actually ignoring the common “best practices” for structuring Apple Ads campaigns. I’ll explain what those are later. You should launch 2 campaigns: Tier 1: UK, Germany, France, Norway, Denmark, Finland, etc. Tier 2: Slovenia, Slovakia, Croatia, Romania, Poland, etc. Optionally, you can make a separate campaign for Greece, Spain, Italy, and Portugal or include these countries in the Tier 2 campaign. The key idea during the research stage is to concentrate your limited budget on as few campaigns as possible. If I had to choose, I’d start with Tier 2 only. What about Latin America, Africa, Southeast Asia and the Middle East? I’d avoid them at first. High population, low GDP per capita, and unstable economies. In many countries, you simply won’t get the right metrics. And the few that do work will require more time and money to find solid keywords. It’s better to come back to these markets only after you’ve fully worked through the Tier 2 countries. For example, in my project I’m focusing on 5 countries with a total population of 80m. The top performers are 3 countries with a combined population of 25m. And only 35% of them have an iPhone. That’s enough for me to spend $20-25k per month. >>> Broad Match vs Exact Match <<< I start with Broad Match and split keywords by thematic groups: one thematic group = one ad group. Example for fitness: - fitness (general) - abs (subcategory) - pilates (subcategory) - nutrition (general) - calorie tracker (subcategory) You get the idea. >>> Should I use a CPA cap? <<< Cool guys use CPA goal. I’ve tried both – still don’t have a strong opinion. Both work. >>> What’s next? <<< 1/ turn off low performers (geos and keywords) 2/ move top-performing geos into separate campaigns By the end of this phase, you should have: 1 campaign = 1 geo, with only the best keyword groups. Your goal is to find countries and keywords angles with the lowest competition and highest ROAS for your app. Time to move on to scaling. >>> Scaling stage <<< Goal: scale top-performing geos. Spend more while maintaining performance. However, we need to completely restructure our campaigns from the research phase. Why? - multiple keywords per ad group = mixed traffic (good + bad) - apple doesn’t distribute impressions evenly across all keywords - you can’t control spend per keyword except by raising bids I’m doing it in two stages as well. >>> Structure for scaling <<< >>> Phase A <<< you’re starting to restructure the campaigns to the following format: 1 campaign – multiple ad groups 1 ad group = 1 exact match keyword Exact Match reduces volume, but it increases relevance and traffic quality. Your goal is to identify the best-performing keywords for your app and eliminate the non-performing ones. I measure keyword performance in two steps: 1. If I spend the first $50 and get no trials and no annual subscriptions – I stop it. 2. If I spend $100 and my CPA (cost / (trials + 1y subs)) is above $20 – I stop it. My personal goal is to keep CPA under $15. But everyone should set their own KPI based on payback targets. If a keyword passes these first KPIs, I then start tracking trial-to-paid conversion and cost of payer metrics. This stage takes more time and budget to evaluate properly. >>> What is scaling? <<< How do you know if you can get more traffic from a specific keyword? Scaling Apple Ads can be done in several ways: 1/ by increasing bids 2/ by launching new countries 3/ by finding new keywords that can bring you positive ROAS 4/ by improving ad relevance I’ve already mentioned launching new countries and keyword research. With keywords, the process is basically endless – it takes a lot of time to fully test all possible keywords in Exact Match. We'll talk about increasing relevance later. Now let’s move on to bids. >>> Bids and SoV <<< So, when should you increase bids? And how do you know when further increases won’t help? a) If there’s no delivery, raise bids b) If you’re already getting spend on a keyword, look at Impression Share This metric shows how much of the available impressions you’re actually capturing for a specific keyword. Your job now is to hit a Share of Voice (SoV) of 70–90% on your top keywords (100% is impossible). Where to check SoV? In Custom Reports. Your Plan is: 1) Identify top-performing keywords 2) Adjust bids to hit 70-90% SoV At some point, you’ll see that only a few ad groups are driving most of the spend. Others stay idle. Which brings us to… >>> Phase B <<< This phase helps with scaling and finding new high-performing keywords. We move from: 1 geo 1 campaign many ad groups 1 keyword per ad group to: 1 geo many campaigns several ad groups per campaign 1 keyword per ad group Why split into multiple campaigns? To bypass the limits Apple imposes on ad group delivery. Ways to group ad groups into separate campaigns: 1) by keyword theme (as explained earlier) 2) by keyword difficulty (based on keyword tool data) 3) by keyword popularity (from tools or Apple Ads itself) You can even go deeper: |___Geo #1 |___Theme #1 |___Difficulty 5–30 |___Difficulty 50–60 |___ Difficulty 60–100 |___Theme #2 |___Difficulty 5–30 |___Difficulty 50–60 |___Difficulty 60–100 >>> Phase C <<< Thought Phase B was complex? hold my beer. Apple doesn’t give delivery to all ad groups within a campaign. Same problem as with keywords in an ad group. So we go deeper. We take all the non-spending ad groups and move them to separate campaigns. Each campaign enters its own auction and finally gets traffic. The process: Main campaign → pull out ad groups with 0 spend → place in a new campaign → wait for traffic → repeat until every keyword gets impressions Yes, it’s exhausting. Yes, it creates campaign chaos. And yes, it’s the only way to ensure all keywords get a shot. At least, I haven’t found a better way. You should aim for the following structure: |___Geo #1 |___Campaign #1 |___adgroup |___[keyword] |___Campaign #2 |___adgroup |___[keyword] etc. >>> What is ad relevance, and how can it help you scale campaigns? <<< Ad relevance in Apple Ads is how well your ad matches the user’s search intent. The closer the match, the more Apple favors your ad in auctions – and the cheaper your traffic becomes. In Apple Ads, you can link specific keywords to custom App Store pages. You can customize screenshots and text. Example: If your fitness app includes a calorie tracker, then for keywords like “calorie counter” show a custom page where the first screenshot highlights the calorie tracker. Yes, it’s time-consuming. But for proven keywords, this can boost IPM (Installs Per Mille) and let you spend more on them. Totally worth it. >>> How to measure Apple Ads Performance? <<< There are many metrics, but only one that really matters: ROAS. Not CPC. Not CPI. Only ROAS. To track it, use an MMP: RevenueCat (yes, not an MMP, but it works), Appsflyer, Adjust, Singular, anything that lets you attribute revenue down to campaign/ad group/keyword. This is mandatory. Not optional. Other important metrics: SOV – aim for 70–90% IPM (installs per 1000 impressions) – target 100+ CR (Tap) – 60–90%+ >>> Tools for Apple Ads automation <<< They exist. That’s all I’ll say for now. What annoys me in most of them? Their pricing model. % of ad spend. Seriously? Back when I was a marketing director, I would’ve loved to get paid % of budget. I’d never have left the job. Anyway – no solid recs yet. Open to suggestions. >>> P. S. <<< That’s everything I know for now. Again – just my personal approach. Might change later. Will keep you posted. And hey, repay me with a repost, like, and follow, deal?

10k

How to launch a mobile app in 2025 and scale it to $20k MRR in 21 steps Everything I’ve learned about launching and scaling mobile apps. If you’re building an app in 2025 – save this. You’ll come back to it. 1. Start with a financial model. Not what you expected from a marketing plan? Still, it's the foundation. You need to know the key metrics (CPI, ARPU, retention) that will help you break even and scale profitably. 2. Research your competitors. You'll need this at every step – from ASO to creatives for Meta Ads. Don't skip this. 3. Do ASO. It's almost free (just the tools). Done correctly, it will generate long-term, organic traffic. Even if you're betting on paid, ASO remains a solid foundation. 4. Set up tracking. You must track installs and attribute revenue. If you're running multiple paid channels, use an MMP like Appsflyer, Adjust, or Singular. No tracking = no understanding of what sources perform well. Additionally, set up Firebase, Facebook Pixel, and TikTok SDK. 5. Collect Apple Search Ads keywords. Reuse the ones from ASO. It's the same research. 6. Prepare ad creatives. Use Meta Ads Library and TikTok Ads Library. Study what your top competitors are running. Which ads are live the longest? Which ones grab your attention? Download them, swap out logos and screenshots with your own. 7. Launch Google Ads. It can be your top-performing source. You control very little: just GEOs and creative sets. Launch worldwide campaigns – group countries by tiers. Exclude Africa and low-income Asian markets. Don't overfocus on the US. 8. Launch Meta Ads. Easy to scale. Creatives matter most here. Optimize for conversions like trial and annual subscriptions, not just installs. CPI campaigns are mostly for warming up accounts and testing creatives. Use the same principles as Google Ads: launch worldwide campaigns, group countries into tiers, avoid focusing on the US, and exclude the largest and poorest countries. 9. Launch TikTok Ads. Start with the creatives that worked on Meta. Often, they'll perform here too. The same rules apply. 10. Launch Apple Search Ads. Highly targeted traffic. Don't start with the US. Combine geos to save money during early testing. 11. Set up Custom Product Pages. Boosts relevance and conversions in Search Ads and helps with organic keyword ranking. 12. Make original creatives. Once your paid ads are live, stop relying on copied creatives. Hire a video editor and start making your own. 13. Run influencer campaigns. This source is expensive and complex to scale. Only worth it if your app is viral by design. Hire someone or work with a small agency. 14. Build your TikTok organically. Hire creators to run your TikTok accounts. Or do it yourself: record videos or create slideshows. But it's better to outsource this. 15. Add a referral program. Often, a very effective way to acquire users if you can deliver real value. 16. Use Web to App flows. Better tracking. Often cheaper auctions. You also avoid store commissions. It's a must in fitness apps, but it also works in other niches. 17. Invest in blogs, reviews, and long-form content. LLMs (like ChatGPT) now influence app discovery. Having content out there helps your app get recommended. 18. Measure everything by ROAS. If a channel brings profit, scale it. Net profit matters, not just margin %. 19. Reallocate the budget to higher-ROAS sources. Continually optimize for the best return. That's how you scale efficiently. 20. Organic growth is great but slow. Paid traffic is what brings revenue fast. Use it to iterate quickly and learn what works. 21. No budget for paid traffic? Start with ASO and organic growth. Reinvest early revenue into ad tests. If your unit economics are positive, double down. Use debt to grow faster, not just profits.

4k

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