Apr 26, 2024, 10:00 AM ETInterview, Fireside Chat

Adam Gross: Why Startups Doing Paid Under $100M ARR are not PLG | E1145

PLG is defined as a holistic business model, not merely a go-to-market motion.
A "good" PLG business requires a specialized, non-paid customer acquisition mechanism; reliance on paid acquisition below $100M revenue suggests a lack of true PLG dynamics.
Successful PLG companies operate as an "adjacent layer cake" of distinct, non-linear motions:
- Individual Level: Driven by a "creation" value proposition (e.g., building/deploying an app).
- Team Level: Requires a shift to a "collaboration" value proposition (e.g., workflow integration).
- Enterprise Level: Driven by "compliance" value propositions (security, auditability, observability).
Founders frequently fail when moving from individual to team stages by assuming a single product/value proposition suffices for both, rather than designing two distinct experiences.
Website marketing should prioritize top-of-funnel acquisition (free users); deeper enterprise messaging is reserved for post-sign-up in-product engagement.
Enterprise empathy—the ability to understand customer politics, org structure, and business processes—is a critical but often missed strategic component of growth.

Salesforce: Demonstrated that growth is not accidental viral luck but an intentional result of marketing, messaging, and owning an industry transformation narrative.
Dropbox: Highlighted the critical importance of innovation in customer acquisition channels, though Adam notes such channels eventually run their course as companies scale.
Heroku: Validated the "full IMAX" potential of PLG by successfully connecting individual free users to large enterprise ($1M+/year) customers within a single model.
Vimeo: Showcased the transformative power of AI tools (like Gong) for data capture and the potential for AI-driven SDRs, noting that online-only sales post-COVID accelerates AI training capabilities.

Growth optimization (bottoms-up) should be distinguished from setting a transformative vision (top-down); the latter is the true driver of scale.
Founders should avoid hiring independent "Growth Teams" too early, as they often optimize for local maxima rather than holistic business architecture.
Channel Concentration Rule: Companies should typically rely on a single primary acquisition channel until reaching at least $10M ARR.
- Diversifying channels too early (e.g., under $10M) distracts from building the core machine.
- Attempting to run both self-serve/PLG and enterprise motions simultaneously before scale leads to conflicting cultures and "stomping on each other."
Channel Transition: Moving from PLG to Enterprise under $10M is highly distracting; conversely, moving from Enterprise to PLG is historically difficult due to different operational requirements.
The most common cause of growth plateaus is organizational "religiousness" regarding past success, preventing companies from killing the "golden goose" of their old model to serve new market needs.

AI Impact: Unlike the cloud shift (which required upending business models), AI is viewed as a continuous innovation where incumbents can adopt tech without structural overhaul.
- Future value may shift from selling "tools" to selling "outcomes" (e.g., selling leads rather than CRM seats).
Naming Strategy: Names should capture the "strategic and emotive" essence of a product evolution.
- Example: Renaming "Workflows" to "GitHub Actions" shifted perception from a static database to an active, empowering tool.
Brand Narrative: Successful brands balance "emotive" storytelling (craft, experience) with "strategic" impact (industry transformation).
- Internal culture often becomes too inward-facing; true growth requires being "customer-obsessed" even if it means challenging internal values.

Hiring: Founders must distinguish between hiring a "Poet" (domain expertise, vision, creativity) vs. a "Librarian" (process expertise, systems, scaling mechanics) for specific roles.
Alignment: Planning methodologies (e.g., OKRs, B2Mom) are only effective if they create visceral alignment on shared priorities; the specific framework matters less than the execution of focus.
Seasons of Software: Establishing a quarterly "cadence" (e.g., quarterly releases or public updates) aligns diverse organizational activities and creates predictable rhythm.
Investing Mistakes:
- Under-indexing on teams: Assuming team dynamics without verifying roles (e.g., not confirming CEO designation).
- Undersized bets: Missing early rounds in companies like Twilio and Stripe due to cognitive bias about market size and commoditization.
- Regret: Not securing a seat in Stripe's seed round due to a lack of immediate network leverage, despite visibility.

Market Outlook: The macro SaaS environment is currently more uncertain with slower growth recovery than anticipated in the previous decade.
IPO Market Prediction: The interviewee bets IPO markets will not open in H2 2024 (disagreeing with Jason Lemkin) and expects the earliest reopen to be H1 2025.
Career Trajectory: The goal for 2034 is to remain active in angel investing, back-operating, and founding new companies while maintaining high enthusiasm for the technology sector.
Career Advice for Grads: Success lies in being "pretty good at two things" rather than the best at one, to allow for holistic problem solving.
Future of Growth: Founders must abandon the idea of growth as a single function; it must pervade the entire organization to avoid siloed optimization.