Skip to main content

Scaling HeyGen: the GTM playbook.

Building the systems that drove 5× growth for the leader in AI video. Rebranding, community building, and enterprise operations at scale.

Nav Singh

Former a16z Partner · Head of RevOps at HeyGen and Semgrep

· Updated

Client
HeyGen
Role
Head of Revenue Operations
Years
Apr 2024 to Jan 2026
Category
AI video · B2B SaaS
5×
ARR growth in 21 months
50%+
YoY organic traffic growth
100K+
Community members
$25M
Enterprise ABM pipeline
VideoInside the HeyGen GTM engineNav Singh · YouTube
The playbook, in Nav's words. Watch on the dedicated page →
Artifact 01HeyGen ARR vs a steady baselineStylized · figures obfuscated
Nav joins · Apr 2024n · steady baselineα$1MApr 2023$100MOct 2025$200MJun 2026
HeyGen's public milestones: $1M ARR in April 2023, $100M in October 2025, $200M in June 2026. I joined in April 2024, before the Series A. The path between the milestones and the baseline are stylized. The shaded gap is the α.

What I walked into

In April 2024 HeyGen had product-market fit most companies never get near, a user base in the tens of millions, and almost no marketing infrastructure underneath it. No SEO program, no content engine, no community, no structured lifecycle automation, and no enterprise motion at all.

The brand had also outgrown its own positioning. HeyGen had spread virally as an AI video tool, which is a category that undersells what an enterprise buyer is actually purchasing, and the revenue operations architecture was not built for the motion the company was moving toward.

What followed was 21 months of building five systems that had to work together.

The five pillars

01

Repositioning for enterprise

ICP moved from individual creators to enterprise communications teams, with the messaging hierarchy rebuilt around training, marketing, localization and HR. The site had to serve enterprise buyers without breaking the PLG top of funnel, so the brand architecture carried both motions at once.

02

SEO from zero

Organic was not a channel when I arrived. Technical foundation first, then programmatic content against real use-case demand, which produced over 50% year-on-year organic traffic growth.

03

A 100,000 member community

Built from nothing to six figures of members in six months, on a dedicated platform rather than Discord so the content stayed discoverable. Weekly tips, user showcases, AMAs and a 50+ creator ambassador program. Community members retained materially better than everyone else, and enterprise deals started coming out of relationships that began there.

04

AI-native lifecycle

Free-to-paid conversion was strong and unsystematic. We segmented on behavior instead of plan type, fired sequences off specific product actions, and built a product-qualified lead model so sales reached people at the moment it helped rather than the moment it annoyed.

05

Enterprise ABM

An enterprise motion built on top of the PLG base: intent data and ICP criteria combined with existing user presence inside target accounts, hyper-personalized outreach at a scale manual research cannot reach, and the enterprise content that unblocks procurement. ROI calculators, SOC 2 and SSO documentation, video case studies.

Why five and not one. Each pillar fed the next. Repositioning made the SEO content credible to enterprise readers. SEO and community filled the top of the funnel. Lifecycle converted it. ABM harvested the accounts already full of free users. Any one of them alone would have produced a fraction of the result.

What I would tell a founder

Build the infrastructure before you need it. Every one of those five systems took months to compound, and the companies that start them at the moment they are needed spend that entire window flat.

The full write-up, with the sequencing and what each pillar cost to learn, is in the long-form playbook.

Building the infrastructure before you need it is the only way to sustain 5× growth.
Nav Singh, Founder, n+α
Work together

Want these systems at your company?

A 15-minute GTM audit. You bring the numbers. I bring the pattern library from HeyGen, Semgrep, Egnyte and a16z. You leave with the three moves I would make first.

Book a GTM audithello@nplusalpha.comWorking with 2 to 3 companies at a time. Currently open.
Book a GTM audit