Luke Harries is Head of Growth at ElevenLabs, where he leads marketing, product, engineering, and developer experience. ElevenLabs has raised $281M with the latest round pricing the compa">
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20Growth: The $6.6B Growth Engine Behind ElevenLabs | Why ElevenLabs Do Not Have PMs | The 7 Part Launch Playbook to Crush All Launches with Luke Harries, Head of Growth @ ElevenLabs
Key Takeaways
ElevenLabs achieved a $6.6B valuation with a horizontal product strategy using AI audio models.
The company scales growth by sharding into specialized product teams with dedicated marketing efforts.
A structured seven-part launch playbook, emphasizing video and broad distribution, is critical for product visibility.
ElevenLabs operates without traditional Product Managers; engineers own the product lifecycle, aided by AI.
AI customer support agents are viewed as superior to human agents due to efficiency and knowledge.
Organic LinkedIn is an underrated growth channel, contrasting with high CPMs of LinkedIn ads.
For B2B/prosumer, prioritize product-market fit before heavy paid marketing investment.
Mastering copywriting is fundamental for all growth activities, from ad campaigns to blog posts.
Deep Dive
ElevenLabs co-founder Matty and Luke Harries met at a Cambridge hackathon at age 19, where they won a Microsoft Prize.
Harries initially doubted ElevenLabs' go-to-market strategy for its audio AI models, making only a small investment.
Approximately six months after the initial discussion, ElevenLabs reached one million users, prompting them to recruit Harries to lead growth.
ElevenLabs employs a horizontal foundational API for text-to-speech, speech-to-text, and voice cloning, contrary to niche ICP advice.
The company expands with discrete products like a reader app and a text-to-audio book generator, driven by ambition.
Growth is managed by sharding the company into specialized teams (e.g., consumer app, creator growth, developer marketing), each with its own growth focus.
A hybrid growth team structure includes horizontal channel specialists and vertical product growth leads, with the enterprise marketing team projected to reach 20 members by year-end.
ElevenLabs uses a structured seven-part launch playbook, categorizing releases into three tiers for major models or product lines.
Tier 1 launches are led by a growth lead who defines the audience, key performance indicators, and core value propositions.
Core messaging is translated into assets like tweet threads and videos, distributed broadly across X, LinkedIn, and Product Hunt to maximize visibility.
The guest emphasizes the enduring relevance of blog posts for technical audiences, highlighting the need for detailed content and benchmarks.
A 'mini tools' strategy is used to showcase product value, especially for enterprise offerings, by hiring a growth engineer to build and expose small, valuable features quickly.
ElevenLabs utilizes interactive text boxes on their homepage as an example of these mini-tools to demonstrate product capabilities.
The guest states that CAC to payback period is a more critical daily metric than CAC to LTV, with payback periods varying between 12-36 months.
ElevenLabs structures growth teams by assigning marketing leads to different channels, accelerating spending when a positive CAC to payback ratio is observed.
A successful consumer product acquisition strategy helps lower CAC, enabling upsells to creator and enterprise tiers.
Startups are long-term games requiring intentionality about personal excitement and brand identity to avoid damaging public perception for enterprise sales.
The guest cautions against controversial marketing tactics, such as highlighting tools for cheating, for serious B2B brands like ElevenLabs.
ElevenLabs aims to be a trusted player for both voice actors and enterprises, contrasting with competitors through a counter-positioning strategy.
ElevenLabs operates without traditional Product Managers; engineers are responsible for the entire product lifecycle, from ideation to shipping and analysis.
AI coding tools like Cursor facilitate this, with 60-70% of core engineering code being AI-generated, while research engineering remains untouched.
The guest predicts a decrease in PM roles due to AI, with a shift towards growth roles or more technical product engineers.
The guest noted Lovable's revenue tripled between funding rounds, leading to a 10x revenue multiple on a prior investment, which he now considers 'nuts.'
The potential for AI to automate the entire software development lifecycle is discussed, positioning companies like Lovable to own the core stack.
For enterprise, Net Revenue Retention (NRR) over 100% is considered strong, even if individual seat retention is lower, with virality driving consumer account growth.
The guest initially doubted conversational AI agents but now acknowledges their effectiveness, leading ElevenLabs to develop a platform to support them.
AI customer support agents are considered superior to human agents due to their knowledge, efficiency, and lack of need for politeness.
Inbound Sales Development Representatives (SDRs) may become obsolete as BANT screening can be automated through forms or conversational AI, potentially using cloned Account Executive voices.
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