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How ElevenLabs Turns Feature Launches Into a Growth Engine – Luke Harries
00:16:57
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- [00:01]
A
Welcome to the Sub Club Podcast, a show dedicated to the best practices for building and growing app businesses. We sit down with the entrepreneurs, investors and builders behind the most successful apps in the world to learn from their successes and failures. Sub Club is brought to you by RevenueCat. Thousands of the world's best apps trust RevenueCat to power in app purchases, manage customers, and grow revenue across iOS and Android and the web. You can learn more@revenuecat.com let's get into the show. Hello, I'm your host, David Barnard. Today's conversation is shorter than usual and will be featured in revenuecat's State of Subscription Apps Report. Each episode in this series will explore one crucial topic and share actionable insights from top subscription app operators. With me today, Luke Harries, who leads the growth team at elevenlabs. And on the podcast, I talk with Luke about how eleven Labs turns every new feature launch into a growth engine, how they're deploying over $100 million in paid ads, and why directing AI agents is quickly becoming a core skill for marketers and solo founders. Hey Luke, thanks so much for joining me on the podcast today.
- [01:20]
B
Excited to be here.
- [01:22]
A
I wanted to kick things off with how you think about growth. You're at 11 labs, you guys are launching tons of cool stuff, working on amazing. But you've also been in the industry a while and have been doing this for a long time, working on growth. So how do you think at a high level about growth?
- [01:40]
B
Yeah, with growth, we think about building growth engines. And what a growth engine for us is, it's a system which we track and we optimize and we set ambitious goals and we repeatedly take this engineering approach to marketing where we try and level up every time we do it. And so one specific way we do this is through big launches. And something which is very unique about AI is that when you get a new model that unlocks a new capability which gives you a new viral moment. And so the heartbeat of the growth team is working hand in hand with our incredible product and research team, such that when they're launching new features, new models, new capabilities, we put it through this growth system and that normally translates into what's hopefully a really viral moment. So for example, we have the world's best speech to text model. And so when we release Scribe V2, it's like, okay, let's do an incredible video and tweet thread to really show the world how to do that and topple the benchmarks. But then that also translates behind the scenes into a world class landing page, sort of time to update all your different meta, your LinkedIn ads, your Google Ads. So yeah, the launches are really the heartbeat for us.
- [02:56]
A
Yeah, I think this is really overlooked in the broader industry. And when you're working on a feature, ideally you're working on something that people are going to care about and that wouldn't be just your users. Like, it's a great opportunity to expand that messaging beyond just putting it in the app and putting an in app banner. Although some people don't even do that. A lot of apps don't even have a like on launch. Open what's new and hey, check out this new feature or a tooltip or those kind of things to even hint at existing users that this new capability is there, much less using the, that all that engineering effort and the creativity that goes into this new feature as a moment to get more attention. And you know, of course people are going to be listening like, oh well look, earned media is so hard to get these days. And it is. And ElevenLabs has an easier time than a lot will have getting that earned media. But you don't know until you try. And I think more apps should be trying. And then how do you think about taking those launch moments and using the ideas, the new features and things like that in your paid assets as well? Because it's not just about getting earned media, it's about using these new features and that creativity to get attention. Even if it's paid attention.
- [04:07]
B
Yeah, 100%. So whenever we do a launch, part of the big bet is, okay, how does this translate into our meta ads, into our TikTok ads? And so we have a 11 Labs app which has all the best creative models, whether it's speech, sound, effects, music. And as part of that, we released for example, the image and video feature within it. As part of that, you then go, okay, what are the ads that we should do? What are the different hooks? And as you're thinking and iterating on that core messaging for the X post, you're also thinking of iterating for the different ad copy. And one of the new things we've actually just built, which has been really cool, is we built a custom GPT where we've analyzed what are all the top performing meta in Google Copy and what's all our bottom performing meta and Google Copy. So we normally take what's our like brand X post and then we pass it through this custom GPT which will then iterate on it into like the high performing meta and Google Copy and then another big bit which I'd be happy to dive into is also we want to create lots of different variants of images, of videos, of statics in order to see what will drive conversion.
- [05:20]
A
Yeah, I did want to dive more specifically into video. I mean, you know, between reels and TikTok and I mean even a good X post with a video is going to generally perform better than just like a, a thread without any kind of example. How do you think about in generating these assets, when to use AI creative, when to lean into UGC and when to just team create assets. On your blog post you talk about like put the founder in front of a camera in loom showing off the product. People don't often do those kind of things. But if again if you're building something worth attention, you can probably do a little video like that. So how do you, how do you think about balancing all of this?
- [05:58]
B
Yeah, a hundred percent. So I think this will change a lot in the next year or two. But now in February 2026 what we found best is normally actually you start with agencies. So we started with agencies. You're testing lots of different formats, you work out what fits but then you want to bring it in house, like really optimize the quality but also scaling up the quantity. And so we have two people which have the job title AI creative producers. And their task is every day they're just obsessed. They're using tools, motion, they're obsessed with okay, what's the data, what's working so far, what are other companies in the space doing? And then they're coming up with new creative ideas and then rapidly iterating and testing it. At the moment what we found works really well for our core app. So our web app is they create with after effects really great motion design. So that's their background, they are motion designers but then they layer in with like text to speech voiceovers using 11 labs with the music. And that enables you to do like rapid testing because you can test different hooks with motion design, you can test different voiceovers, different music. So you get nice love variants. But you also are able to keep the quality bar really high. And other things we use to boost production is lots of the AI generated images. We're also incorporated into the motion design.
- [07:20]
A
Are you still using UGC though? And like how do you think about UGC in this mix of AI generated creative or AI assisted creative plus the in house assets and you have motion designers on staff, you've got a lot going. Are you also working with ugc?
- [07:35]
B
Yeah, we do three main types of Video production in house. So the first one is the motion design and that's still the bulk of our ads and works like really well. You can get like the quick hooks and variants to really see like what messaging resonates and particularly with this like AI abstract UI based flows. They're like great ways to show it. The other team we have is a motion design team, but focused on online brand videos and launches. And so they spend like longer amount of time, fewer variants. And then we also have a in house creator called Alec who has a YouTube channel who just shows like how do you get the very best out of these tools? And it's more like person in front of the camera. I think there's definitely a world where we can like try supercharging that in future for the educational side using the avatars. But for now we really care about like quality as well as quantity. And like actually a person in the studio making really fantastic educational videos is a great way to do that.
- [08:34]
A
Yeah. You shared with me before the podcast that you're on track to spend over $100 million in paid ads by the end of the year. How do you think about where to deploy that money with this firehose of creative? Because you know, one approach and what a lot of people are doing is like, okay, AI is now helping us create so much more creative. Let's just throw money behind it and just see what sticks. Is that what you're doing with 100 million or how are you approaching that?
- [09:01]
B
Not quite. No. So the, the way we view about money and spend and channels is we actually view, yes, we have the top down view, but we're mainly thinking bottoms up. And so we treat each channel as its own growth engine. And actually our biggest one still is Google and Google Search. And so what we're doing is like that we're obsessed of, okay, how do we make really great ad copy, how do we localize it to all the geos, how do we have really high conversion landing pages? And then it's like, okay, week over week, how do you scale it? 10%, 20% for Meta, it's a similar one where yes, you want great amount of creative, but you also want really high quality. And then when I think about scaling creative in order to unlock, what you actually want to do is more segmentation. So you're maybe using AI to help. Before maybe if you just had a general like, here's how to make images and videos with AI. But now you can go that one level deeper. Like here's how podcasters or here's how people making apps can create with image and video and you can use AI to do that. Personalization, segmentation. The other really big unlock for us has been the localization side. And that's where we've really lent into AI. As a side note, we initially went down the route of like you Pay an expensive SaaS app for localization, you pay for an agency to then who have people to localize it. But I kept on having our team just sending screenshots of ChatGPT. Being like, oh, we should use this phrasing instead is way better. And I was like, well, if the LLMs are way better at translation than these agencies and expensive tooling. So we actually ripped out all the localization infrastructure. We built our own GitHub action and there's like a thin library which just extracts the strings or wraps all the strings. And then each time we make a PR to our repo, it just sends it with like a prompt per language about the localization guide. And that means we're able to localize like way cheaper and much faster. And then once we've also localized the apps, you're then able to localize all the ads. There's stuff like our dubbing model or again, just like parsing the copy with good prompts gets fantastic results. You know, we think bottoms up, what's that next bottleneck for us to like scale another 20% week on week, month on month and then you start going through, okay, first of all, it's like funnel optimization. Then it's probably starting to think about stuff like localization and so forth.
- [11:27]
A
And how do you think about measurement and are you mixing in brand and other things that are harder to measure? I mean with $100 million to spend, there's a lot more room to experiment and potentially, you know, put money into things that will pay off more in the long run. But are you looking at dollar for dollar roi? Are you looking at for some channels but not others? How do you think about measurement and effectively spending that?
- [11:49]
B
Yeah. So 11 labs, we have different bits of the business. We have mobile, self serve, web and enterprise. And each one of those we think about brand and performance a bit differently. Where the bulk of spend so far, which is still like self serve web, which has nice parallels to mobile, the way we think about it is like direct channel roi and you can be more direct response when you're dealing with consumers or prosumers. And so there you're able to do. Meta has lots of great tools. They tell you about what the different conversions and so forth are. But the important thing to do is to run the lift studies within the platform which actually do an A B test with holdout groups to tell you. Because for a brand like eleven Labs, where lots of people already know, you'll often end up with lots of people would have converted anyway. And particularly as you start doing stuff like retargeting ads. So that's able to give you. Yes, you were saying that 500 people converted. Actually there was only an incremental 200 because 300 people converted anyway. And then our system so far is we pull all that data from the platforms, we then add incrementality adjustments which we then update every quarter and then that's how we use to allocate our budgets.
- [13:04]
A
Yeah, fascinating. You're doing it at a scale. Not a lot of companies are these days in this space. The thing I wanted to wrap up on, and we kind of already touched on it, but are we headed to a future where marketers are more like AI creative directors? And how do you see this going moving forward with leveraging AI in marketing?
- [13:24]
B
We actually did this exercise internally around like what does the future of marketing look like? And our sense is probably each product will have a growth person who has like really great taste and really great ideas. And then you work with the engineering team and you go, okay, I'm going to launch your product. So say we're launching image and video creation in our app. You then chat with them agent and you're like, hey, we're launching this product. It then like literally checks through your code base. It checks through online like competitive landscape. It reads through all your internal docs and knowledge base and your Personas, helps you craft like the core of the messaging. Then it goes one step further of like, okay, let me help storyboard out. What does this launch video look like and how does that actually like translate? Then when you put proper like AI generated motion design, as the models get better, maybe you're incorporating some avatars to show like how do you actually use the product? And then that launch point goes to like performance marketing and performance marketing creative. And the ideal is probably you wake up every single day and you have 10 to 20 high performing ads where you can like, you set that brand direction, you're that creative director of where we're going and apply your taste. But then you're like, yes, I like these. No, I don't like these. Or these need to be tweets. You're chatting with it, maybe with voice. And then it goes and takes that one concept and adapts it for the different screens, whether it's horizontal, vertical. It then localizes it into the 70 plus languages. So this is, yeah, ideally what we're going to build end to end with 11 creative. Good amount of work to do. I don't think anyone's there yet. I think people are saying that close within the next couple of months, but yeah, should be a lot of fun.
- [15:10]
A
Yeah, it's going to be a fascinating couple of years. I mean it already has been the past couple of years as we've integrated more and more and it does just feel like each person is able to do more and more with the aid of AI and that's just going to continue accelerating. So I love that idea of like one person in that kind of like growth product position managing a bunch of agents who help build those things out. I think is the way a lot of this is going to go. I like that 100%.
- [15:35]
B
The other bit, which could be pretty cool is I imagine lots of your audience who also like the solo builders. The ideal is maybe even you just have like connect something to your GitHub. Every new PR is just like monitoring what you're shipping and then you just go, I have an idea. It builds the feature, it then takes the feature and runs it through the whole launch process. And yeah, spinning up your ads. So potentially the first billion dollar star suck could be built by that.
- [16:00]
A
Yeah. Well, this is so much fun chatting through this. It's going to be fascinating to see how things go the next few years. And eleven Labs is right at the center of it building a lot of this. So as we wrap up, anything else you wanted to share, jobs you wanted to hire out, I know y' all are working on some stuff with a product called Flows that'll come out later this year.
- [16:16]
B
Yeah, I think main one, we're hiring lots of mobile engineers, which I know you have lots of. Fantastic, fantastic audience. If you want to try it out, you can just sign up, use the 11 creative products or download any of our mobile apps and hopefully you'll find it useful for your own growth and performance marketing. And excited to keep working with you. Awesome.
- [16:37]
A
Thanks so much.
- [16:38]
B
Cool.
- [16:41]
A
Thanks so much for listening. If you have a minute, please leave a review in your favorite podcast player. You can also stop by chat subclub.com to join our private community.