Runna · B2C · running training plan app
Target serious runners with training plans that adapt after every run
Won the race-training niche; later bought by Strava
What they did
What happened
In their words
12 AI Growth Lessons for Subscription Apps – Phil Carter, Elemental Growth
Phil Carter… of have to niche down as a startup to be competitive, but two, AI is dramatically reducing the cost of software development, which means it's viable to go after smaller niches that previously just weren't worth targeting. And so I think Runna and Ladder are two great examples of apps in the fitness category, which is one of the most crowded competitive categories there is who at least initially focused on underserved niches to get a foothold.
Phil CarterIn Runna's case, it was, okay, Strava's already the dominant app out there for people who just want to do some measure of running and track their performance, but for people who really want to train for their next race, for serious runners who are training for their next marathon or their next 10K, we're going to put together a customized dynamic plan that adapts to your running performance over time, and that's something that Strava wasn't doing.
Phil CarterSo Runna goes and they do that and they create a great first time user experience and automagical onboarding flow and they hyper personalize to their users the stuff we've been talking about, they win this segment and eventually Strava comes along and buys them because they unlock this whole new segment for Strava. Similarly, Ladder has this whole matrix of populations of people who want to get more fit, whether that's at home or in the gym, whether it's men, women, and they've figured out how to identify the market size of each of these different pockets and then target the right coaches and personalities to attract the users in those pockets and then build a product that hyper personalizes the experience around each of those personas.
Phil CarterAnd so more and more, I do think there's just this huge opportunity. It's sort of the classic riches and niches, right? It's niche down and find a very tightly defined early adopter base that you can get traction with. And then eventually you can expand beyond that, but it's always better to start small and really focus on one user persona.
Get tactics like this every Monday
New tactics from the week's founder interviews, each linked to where it was said.
More from this episode
- Quiz new users, match them to an AI friend, then start a voice chatAdvisor credits it as a big part of their success; no numbers
- Show a shareable card of how the AI character's personality maps to yoursAdvisor calls it a viral artifact people share; no numbers
- Put a small always-visible widget or calendar reminder where users already workGuest now uses voice nearly as much as typing; no company numbers
- Ship many AI study features fast and show each one on TikTok and DiscordNo results shared
- Use AI tools to go from tens to 400+ ad concepts a month400+ concepts/month; said to lower CAC and speed up learning
- Film a real person once, then use AI for 30 languages and music variantsAdvisor's standing advice to clients; no numbers
- Show the AI background remover in the first 6 seconds of every adLower CAC, higher conversion; opened Mexico, Brazil and Indonesia
- Let the decks and sites users make get shared and show up in searchGrew with very little paid acquisition; valued at $2B+
- Use cheaper, faster AI models where the output is good enoughProfitable 6 months after launch; faster product and lower compute costs
- Get early-adopter creators to post tutorials and templates for your new AI featureDrove organic adoption of Notion AI and better new-user retention; no numbers
- Replace the hard paywall with a free plan plus a 7-day trial of the best version+75% LTV per user (other pricing changes made at the same time)
- Switch from a hard paywall to a free planSubscriber conversion fell 50%+; reverted after a couple of weeks
- Keep AI features in a pricier top plan; give basic users a taste
- Start with a 7-day free trial, then tune trial length to limit AI costs
Tags: personalization, niche, fitness