Audience-Building Playbooks
Building an audience before, during, and after launch — the platforms that compounded, the posting cadences that worked, and how founders turned followers into first customers.
198 tactics · page 6 of 7
“On Android you have the benefit of actually serving your ads in the Play Store — that's like super high intent. You cannot get that inventory anywhere else. I always liken the Play Store traffic to branded search — you're reaching people at the highest intent moment possible when they're actually searching for something they want.”
Play Store ads are high-intent Android inventory you cannot buy anywhere else
The Play Store search placement is the defining advantage of Google App Campaigns for Android. Like branded search, it captures users at the exact moment of intent — they are in the store, actively looking for an app to download. No other network can offer this inventory. Ashley Black considers it the primary reason to run UAC on Android even if control over placement is limited. The high-intent inventory alone justifies the trade-off of reduced targeting precision compared to Meta or TikTok.
“On iOS Google's actually not as competitive but I really don't feel it can be overlooked — you still have Google Search which you can't buy search from anywhere else. And you have YouTube which still is the number one most downloaded app in the world not just in the US.”
On iOS, Google UAC is still worth running for Search and YouTube — unique inventory unavailable elsewhere
Even without Play Store inventory on iOS, two iOS-exclusive advantages keep UAC relevant: Google Search (the only way to buy intent-based search inventory outside Apple Search Ads) and YouTube (the most-downloaded app globally). Ashley Black argues that dismissing Google UAC on iOS because it lacks a Play Store equivalent misses these high-value placements, especially for apps where users research before downloading — health, finance, education.
“There's an old copywriting maxim: sell the smile, not the fluoride. Nobody buys toothpaste because of fluoride — they buy it for the smile. Your paywall copy should be about the life outcome, not the feature list.”
Sell the smile, not the fluoride: outcome-and-emotion copy outperforms feature copy on paywalls
Moore applied this to fitness apps: instead of '500 workouts' or 'AI-generated plans,' the winning copy described feeling confident, having more energy, and hitting goals. Stone confirmed the same pattern at Citizen: users don't want a 'real-time crime alert' feature — they want to feel safe. Outcome-and-emotion copy resonates because the user's self-image is more motivating than a technical capability.
“Ladder's web2app isn't primarily about fees. It's about getting purchase signal back to TikTok and Instagram fast enough to train the algorithm. On iOS you're waiting 3, 7, 14 days for SKAdNetwork windows. On web you get the signal in hours. That changes what the algorithm can do for you.”
Early signal feedback to TikTok/Instagram — not fee saving — is what makes Ladder's web2app work
Petit cites Ladder (the strength training app) as the clearest example of web2app as a paid acquisition infrastructure play. iOS attribution delays prevent the ad algorithms from learning which creatives and audiences convert to buyers — web payments collapse that window from days to hours. Faster signal enables the algorithm to optimise spend more accurately, improving ROAS independent of any fee savings.
“When you're running a start trial campaign the signal is like all the people who are willing to start a trial but not necessarily all the people who are willing to pay. When you have a purchase-only funnel every user that gets sent back to the ad network is one that's high intent, high quality — the algorithms are able to better find users just like that.”
Money-back guarantee on web funnels sends better purchase signal to Meta than free trial — quality users find you faster
Reading.com replaced the free trial with a 30-day money-back guarantee on its web ad funnels. Conversion rates dropped, but every conversion event sent to Meta was a real purchaser — high-intent signal the algorithm could use to find more like-minded users. Over time the higher-quality audience the algorithm learned to target more than compensated for the lower raw conversion rate, and few users actually exercised the refund.
“Not only do we allow them to do it, we also share it afterwards if they do something cool. The team is also very autonomous — we've had a very proactive team for many years that have managed to make several viral waves where we could see that the audience really is picking up.”
Amplify UGC by sharing the best user content yourself — social proof for creators costs nothing and generates more content
Subway Surfers' UGC flywheel is reinforced by the brand's own accounts resharing exceptional user content. This costs nothing but signals to creators that making Subway Surfers content gets recognition — organic incentive to keep producing. Combined with a permissive IP policy (no takedowns for fan videos) and an open content team that says 'yes' by default, the result is a self-sustaining creator economy around the brand that no ad budget can replicate.
“Over 50% of installs come through search and go to one of the top three rankings on search. It is really critical that if you're going to launch a product you understand what relevant keywords for your product — what is your ability to rank on those keywords? If the first three results are hundred-million-dollar companies with massive budgets, that's probably a concern.”
ASO is over 50% of installs and the incumbent at position one is nearly impossible to displace in 2024
Falzon draws on data from Mosaic's portfolio to establish that App Store search is the single largest install channel for most apps, but positions 1-3 capture the vast majority of that traffic. The incumbent advantage in established categories is severe: apps like Lose It have held top rankings for a decade-plus. An app entering the calorie-counting category in 2024 cannot rely on ASO; it must identify an alternative acquisition lever (TikTok organic, SEO, paid) or find a keyword niche the incumbents have left uncontested.
“if you're looking at the unit economics where the app has really good ASO and it's like the top result for a very specific keyword the average revenue per user could be five dollars and it looks amazing but then the problem you run into there is that the intent on a paid install is nowhere near the intent on a search install.”
Your organic revenue-per-user may be deceptively high — paid traffic converts at a fraction of search intent
Apps with strong ASO have revenue-per-user numbers inflated by high-intent searchers. Using that figure to project paid UA profitability leads to expensive mistakes. Petit recommends always segmenting by acquisition source before extrapolating unit economics to paid channels, because paid and organic users behave like completely different cohorts.
“on Facebook you can but the most efficient strategy just go bro you just put the country and I want people to be at least 18 all of the US and have an iPhone and then the creative and the events that you're including are doing the targeting work.”
On Meta, the creative IS your targeting — broad audience beats narrow on algorithmic platforms
Counter-intuitively, Petit's best-performing Meta campaigns use the broadest possible targeting — whole country, minimum age, device type. The creative itself and downstream conversion events signal to the algorithm which users to find. Narrow interest-based targeting costs more, shrinks delivery, and fights the platform's optimization — a hangover from the pre-algorithmic era.
“I have grown my Twitter following a lot slower than a lot of people I've never gained you know 5,000 followers in a day from a great thread but I think the people that follow me the community the audience whatever you want to call it is a lot more compact and a lot more dense and a lot more valuable”
A small dense audience pays out far more than a viral one
Aaron rejected thread-bro and meme-driven growth tactics, accepting slower follower growth in exchange for an audience that follows him as a human. The payoff arrived at layoff time: job offers and would-be clients came from a smaller but high-trust following, not from raw follower count.
“people who pay money have made a real trade-off if they never pay any money they make no sacrifice they make no trade-off and it's not that you can't trust people who have never made a sacrifice or a trade-off it's just if they've never made the tradeoff of paying money then everything is a hypothetical”
Only research people who already made a real trade-off
Paying customers outrank free users for any pricing or roadmap decision — money changing hands is the only signal that proves intent. If there aren't enough paying customers yet, the next-best segment is people who paid for a competitor or adjacent product. Skip the people who've never made any related trade-off; their answers are hypothetical.
“if you did 10 very high quality customer interviews a year you would be beating literally all of your competitors every single one of them I know that because I probably worked with them I guarantee that if you were to do that process it would energize you for the next six months at least”
Ten high-quality customer interviews a year beats every competitor
The bar for outpacing competitors on customer insight is shockingly low — 10 good interviews across a full year. That's roughly one every five weeks, and the clarity from those conversations sustains marketing and roadmap decisions for the next six months. Skip them and ship features on intuition; that's where most competitors stay stuck.
“talk to your customers and get on a lot of sales calls don't try to Outsource for your support or your sales too early you'll speed up that process so much faster if you're talking to even just five prospects or five customers a week amplify that over a month that's 20 people like at that point in time like you're going to get some insights”
Five customer calls a week beats any marketing framework
The cheat code pre-PMF is volume of conversations, not channels. Five prospect or customer calls a week compounds to twenty a month — enough raw input to spot pain points, jobs-to-be-done, and the language that should drive every later marketing decision.
“following something like the jobs to be done framework is freaking amazing and like a really really practical version of that is the book from Michelle Hansen deploy empathy that's a really really practical version where it's like if you've never ever talked to or interviewed a customer or interviewed a prospect before following a framework like that is really really helpful do that 20 times”
If you've never interviewed a customer, use the Deploy Empathy framework
If the founder has never run a customer interview, Michelle Hansen's Deploy Empathy is the practical entry into jobs-to-be-done. Twenty interviews using that framework yields enough raw material to build out the marketing strategy's foundational building blocks.
“mostly it's it's yes Discord GitHub and Twitter is kind of where everything happens being really responsive in Discord when people ask questions or say they have trouble getting something up and running that gives us feedback over how we can make it easier”
Open-source community lives across Discord + GitHub + Twitter, not GitHub alone
Managing hundreds of contributors feels more like running a Discord server than a code repo. Being responsive on Discord when people hit setup issues doubles as product feedback for reducing onboarding friction — the support thread IS the install-flow research. Plan for three channels at minimum if shipping open source.
“I feel like people are going to end up doing a lot more primary research being an indie hacker will be much more about carving off a specific niche of all the problems left in the world and actually going and running experiments to figure it out”
Indie hackers win on the experiments nobody else bothers to run
As AI commoditizes general knowledge, audience advantage comes from picking a specific niche and being the one running real experiments in it. Generic content gets ignored; experiment-backed niche content gets cited. Pick 1-2 narrow founder problems and publish raw experiment logs with numbers — the audience compounds around the person who runs the tests nobody else does.
“I call myself a designer but people are looking for UX designers so I still have to put on the UX mask and call myself UX designer as well because I still need to pay the bills”
Wear the label the buyer searches for, even if it undersells you
Nick calls himself a designer but lists as a 'UX designer' because that's the phrase clients type into search. Name yourself with the words customers already use to look for the thing you do, not the internal label you prefer. The aspirational label can park in the sub-headline; the buyer's word goes in the H1.
“my goal is to build the best POS product for for this type of very Niche application you know so like it's it's a bit for nerds that like to Tinker synthesize is also not for everybody you know like it's it's for people that like to play with knobs and stuff”
Invent a niche category label ('visual synthesizer'), don't fight the head term
In a crowded AI category, don't compete on 'AI video generator' against Sora and Runway. Klemke positions Neural Frames as a 'visual synthesizer' — language that mirrors how the target persona (synth-nerd musicians) already talks. Inventing or borrowing a niche category label is easier to rank for, easier to own, and selects the right buyer in.
“the phrase I use that crushes it's you can just you just you say this like hey I just want to learn dot dot dot and most people are happy to reply to you about why what they want to explain how come they're not making that decision for you and either a you can solve that problem or B you now have some better understanding of the right customer”
Ask every 'no' why — 'I just want to learn...'
When a prospect passes, don't disappear — reply with 'I just want to learn...' Most people will explain exactly why. Either the objection is solvable (and they convert), or the answer sharpens ICP. Free customer research from every rejection. Apply it to email opens that don't convert, drop-offs at checkout, lost demos.
“you have to keep repeating your messaging you have to keep positioning and showing your product multiple times so many times one of the things we're doing every week now is on Wednesdays we're saying hey here's a crazy thing that's coming out in our newsletter tomorrow it's like 2 or 3x'ing our daily email signups”
Repeat the pitch — most of your list still hasn't bought
Even on his decade-old list, only ~80% on a webinar had bought the book. Audiences cycle through and ignore most messages — keep restating what you sell. Noah's Wednesday teaser cadence 2-3x'd daily signups on noahkagan.com. Assume the list hasn't seen prior pitches; reintroduce the core product every send.
“if you do things in public and assume that everybody wants to love you you're going to fail people like you find you and people like exactly in your mindset in your wavelength are going to embrace you”
Aim for resonance with a tight niche, not universal approval
Calibrate the public-facing voice to a specific archetype (solo founder, bootstrapper, indie maker). Stop optimizing for broad appeal — track whether the right-fit subset is engaging, and treat indifference from outsiders as a feature, not a bug. The audience that finds you on your wavelength is the one that converts.
“I review 30 40 applications not a single one is like something that we can actually invest in like that is a real bummer you're not often doing 95 to one or something like that it weighs on you for sure”
Open application = high volume inbound, but pre-filter copy does the heavy lifting
Tringas swapped the warm-intro VC model for an open application form. Volume is high but conversion is brutal — 30-40 applications can pass without a single fit. The funnel only works because the pre-filter copy ('here's what we don't fund') does heavy lifting before submission. Same applies to any inbound channel: explicit anti-criteria save more time than glossy yes-criteria.
“The way I treat developer feedback is that they will only give you once and if you don't act on that feedback you'll never hear from them again, but the type of feedback they give is so valuable they will go in so much detail and if you can really act on that feedback they will keep coming”
Developer feedback is single-shot — act on it or never hear from them again
Devs don't write four-page essays twice. Zeno's feedback button sits on every page — text area, send, done. No 'is this a bug or a feature request' triage form. And engineers (not a PM gatekeeper) read the support queue directly, because the cost of breaking that loop is permanent silence.
“there are AI powered translation systems and they've become so much more reliable ever since chaty PT came around it's super good at this surprisingly like it is has Google translate level of translations... this makes it possible to create subtitles that automatically in all kinds of languages”
Auto-translate subtitles to unlock new languages
If a meaningful chunk of your audience speaks limited English, run subtitles through an AI translator and ship them in 2-3 priority languages. Quality is now at Google-Translate level, the workflow can be fully automated, and tools exist to synthesize dubbed audio in your own voice. This is a near-free distribution expansion that most creators leave on the table.
“to show up on a social network you have to look at it as a community and not just as you know you with a megaphone blasting out like your content right you have to look at it as like where is the existing community that my target audience is in but not looking at them as a target audience looking at them as an existing community”
Treat the network as a community, not a target
Drop the megaphone model. Before you post, identify the existing community your people already belong to and figure out your role inside it — what you contribute, what conversations you join. "Target audience" framing makes you broadcast; "community" framing makes you build relationships at scale, which is the only thing that compounds.
“I've exported my Twitter audience like everybody who follows me on Twitter I actually have an Excel spreadsheet of all like the handles names and the people's bios and anytime somebody asks me like hey do you know of a good email marketer that I can hire I actually pull up my spreadsheet... and I hit crlf for email marketing”
Make your bio Ctrl-F searchable for serendipity
People with audiences literally Ctrl-F their follower lists when someone asks them for a referral. If your bio is clever, vague, or empty, you're invisible to that intro. Write a plain, honest bio that names what you do — on every platform plus a linked personal site — and you become the answer to searches you didn't know were happening.
“once I had I think we have 10 of them uh it I unified them right so like they all got same theme color they all got the same set of rules they all got you on the website home buddies you can go to the communities link you'll show you all the Facebook groups”
Unify scattered communities under one brand
When you take over or absorb adjacent communities, force consistency immediately: same theme color, same rule set, same link back to your hub on a public "Communities" page. This converts a loose federation into a brand members actively identify with — the strongest retention lever for community-driven marketplaces. People stay with brands, not with random groups.
“if you package it in a way that own that would only be interesting to people who already know who you are or already subscribed to you then you're doing the audience a disservice like by any new audience a disservice”
Package for non-subscribers, not existing fans
Stop writing titles and thumbnails that only make sense to people who already follow you. Package for the stranger scrolling the home feed who has zero context on your brand — otherwise a life-changing video stays invisible. Clear, intriguing packaging is a service to the new viewer, not a betrayal of your authentic voice.
“the actual gatekeeper still around and the gatekeeper for quality is now the consumer we have to filter information ourselves for every single piece of content We Are The Gatekeepers trust has shifted from the external Gatekeepers to the consumer”
Treat the consumer as the new quality gatekeeper
There is no editor standing between you and the feed — every reader is judging signal-to-noise in under a second. Earn trust at the unit level: each tweet, video, and article has to justify its own existence or it gets filtered out. Don't rely on credentials or platform prestige to do the trust work for you anymore.
“even with a higher capacity on your end the strength of your relationship ship with them would just be as limited and with a growing social following you will find no matter how many people you could be your true real world self with you will eventually scale out of that”
Accept you'll never crack anyone's top 500
Dunbar's ~150 caps the deep relationships you can hold, but your followers are also capped — and you're competing with their family, friends, coworkers, and celebrities for those slots. Stop chasing intimate bonds with every follower. Design content for people who will only ever know a simplified sliver of you; that's the ceiling for everyone involved.