UGC for mobile apps: how An Nayal grew Flamme to 200K users

Maya, host of BuildingNow

By Maya · · 5 min read

An Nayal

The guest

An Nayal

Founder, Flamme

7 figureexit

FlammeAn on X

UGC · Mobile apps · Content

The short answer

How do you use UGC to grow a mobile app?

An Nayal grew Flamme to more than 200,000 users with creators posting on new accounts built around a niche, instead of paying influencers for their audience. He says founders should make the content themselves first, measure retention and downloads, find a format that both gets views and converts, and only then hire creators to scale it.

An Nayal grew Flamme, a couples app, to more than 200,000 users without a large paid acquisition budget. The process taught him that getting attention and turning that attention into customers are two different problems, and that most founders conflate them.

The background that shaped how he thinks about marketing

An Nayal moved from India to China, became a professional bodybuilder, and helped grow a fitness business to seven gym locations. COVID ended that chapter. He completed an MBA in Europe, spent time in B2B SaaS, then returned to consumer products in New York.

This record produced a founder who approaches marketing operationally. He talks about content the way an engineer talks about systems: inputs, response rates, drop-off points, variables to isolate. The bodybuilding background surfaces in how he frames repetition: you don't get stronger by paying someone else to lift.

Why he moved away from paid acquisition

Paid advertising became increasingly expensive and competitive for a team without a large monthly testing budget. Seeing consumer apps succeed through organic content gave him a reason to experiment with a different distribution model.

His point is about capital constraints and the cost of learning a channel, not a claim that paid advertising can never work. Once organic distribution validated that content could convert, the question of when to add paid became easier to answer.

The UGC model he actually uses, and how it differs from influencer deals

Traditional influencer deals pay someone with an existing following to make a limited number of posts. His team encountered high quotes, disappointing results, and audiences of uncertain quality.

His alternative:

  • Creators with relatively small followings make content on new accounts associated with a product or niche
  • The valuable skill is being effective on camera and producing content that attracts the right viewers, not owning a large follower count
  • He distinguishes a social graph (organized around existing connections) from an interest graph (organized around what people are interested in watching)
  • A new account can find an audience through strong content because recommendation systems respond to viewer behavior, not follower history

This is his operating model, not a claim that all UGC must use new accounts or that follower count never matters.

Why founders should create content before outsourcing it

He compares content creation to training a muscle: paying another person to do the exercise does not build the founder's own understanding.

The founder needs firsthand experience with:

  • Writing hooks that earn three more seconds
  • Understanding why a format earns views but doesn't drive downloads
  • The difference between entertaining a viewer and creating a buyer
  • Which audience reactions correlate with conversion

Once a format repeatedly attracts attention and converts, creators can add production capacity and fresh creative perspectives. His sequence is firm: prove the format first, then scale.

How he measures whether content is working

He starts with retention, not views.

Three checkpoints matter:

  • 1.The first three seconds. Roughly 80% retention is his hook target in his own framework
  • 2.Seconds five through ten. This is where most drop-off problems live
  • 3.Body retention. He recommends a pattern change every three to five seconds: a camera movement, framing change, or demonstration that renews attention

Beyond retention, he tracks whether spikes in views correspond with spikes in app downloads or conversions. A meme, a slideshow, a reaction video, and a talking-head explanation can all earn views while creating very different levels of buying intent. An agency promising view guarantees and a founder trying to acquire customers are not solving the same problem.

His view-count framework as a diagnostic

He uses view counts as a starting point for diagnosis, not a verdict:

  • 0-200 views: Investigate whether the content is weak, the audience match is poor, or there may be an account issue
  • 200-2,000 views: He usually looks at the hook first
  • 2,000-10,000 views: He focuses on retention through the body of the video
  • Above 10,000 views: He looks to repeat and scale the format, if it also converts

He suggests testing several simple, engaging niche posts before concluding the account is the problem.

Format differences he has actually observed

Different formats solve different problems:

  • Memes: Easy to produce, potentially entertaining, but his team found that entertainment did not reliably become product demand
  • Slideshows: Easier for a solo founder to produce at volume, less persuasive in his experience. He mentions a 0.2-0.4% conversion range without specifying the denominator clearly enough to treat it as a benchmark
  • Talking heads: Useful for explaining a problem, building emotional connection, and showing why a solution matters. Their weakness is the recording and editing workload at scale
  • Reaction videos plus product demonstration: A more scalable combination when the product is visually appealing and a clear emotional reaction helps introduce it
  • Business or prosumer products: He finds explanation more important here; a reaction alone may not establish why the product is useful for someone's work

How he warms up a new account

For Flamme, his team watched relevant couples content, engaged with it, searched the niche, and followed a limited number of relevant accounts before posting. They then tested simple images with niche-specific text to see whether the intended audience responded.

His belief is that this can improve the match between content and its initial distribution. He presents it as his working practice, not proof of a guaranteed algorithmic effect.

What he most wants beginners to avoid

Quitting before they have learned enough.

A handful of unsuccessful posts is not a strong basis for concluding a channel cannot work for the product. The benefit of repetition is not only more chances at a hit. It is better judgment about hooks, audience fit, presentation, and conversion.

His practical sequence:

  • 1.Create content yourself
  • 2.Study the response
  • 3.Identify a repeatable format
  • 4.Confirm it drives product interest
  • 5.Then expand production

The mistake is treating content as a coin flip: post a few times, see if it works, move on. The actual skill is running enough experiments to understand what the audience is responding to and why.

"Content growth is a skill a founder develops through repeated experiments. Getting attention and turning that attention into customers are separate problems; a useful distribution strategy has to solve both."

Flamme reached 200,000 users. The channel that got there was not one lucky video. It was a founder who treated each post as data.

Questions this talk answers

Should founders make their own content before hiring creators?

Yes, according to An Nayal. He compares it to training a muscle: paying someone else to lift does not make you stronger. A founder needs firsthand experience writing hooks and seeing which formats earn views but no downloads. Once a format repeatedly converts, creators can add capacity.

How do you know if a short video is working?

An Nayal starts with retention, not views. He targets roughly 80% retention in the first three seconds, watches seconds five through ten where most drop off happens, and adds a pattern change every three to five seconds. Then he checks whether spikes in views match spikes in app downloads.

What do low view counts on a new account mean?

An Nayal uses view counts as a diagnostic. At 0 to 200 views he checks the content, the audience match, or the account. At 200 to 2,000 he looks at the hook. At 2,000 to 10,000 he works on retention through the body. Above 10,000 he repeats the format, if it also converts.

Do memes work for app marketing?

In An Nayal's experience memes are easy to make and entertaining, but entertainment did not reliably turn into product demand. Talking head videos and reaction videos with a product demonstration did more to explain why the product matters.

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