Even successful PLG companies like Figma eventually burn through their early adopter market. To avoid hitting an asymptotic growth curve, they must proactively build a traditional outbound sales team to tackle the enterprise market before the PLG engine stalls. Don't wait until you need it.

Despite generating 1,000 leads a month (3x previous volume), CloudPay's marketing team saw the sales pipeline's dollar value fall. This forced a radical shift from a volume-based "net fishing" approach to a quality-focused, account-based "spear phishing" strategy.

When growth stalls, the default is often to chase more top-of-funnel leads. Instead, founders should first focus on optimizing their existing funnel through lifecycle marketing and better converting the leads they already have.

In the run-up to its IPO, Snowflake slowed hiring to optimize for profitability. This caused the sales team to focus on easier upsells from existing accounts (with 177% net retention) instead of new business. As a result, they neglected new logo acquisition for two years, hurting long-term growth.

The company's historically high win rate plummeted as they scaled the sales team. The data revealed this wasn't just a process change but a symptom of new reps being put on deals prematurely. Specifically, high-value inbound leads were being sent to ramping reps, tanking conversion rates.

The "PLG Trap" occurs when founders assume moving upmarket is just a pricing change. In reality, shifting from PLG to enterprise sales requires a difficult, company-wide transition across product (e.g., SOC 2 compliance), organization (e.g., sales engineers), and culture.

When a salesperson's pipeline is weak, they latch onto any potential deal with desperation. This forces them to rush the sales process, skipping crucial relationship-building steps. The counter-intuitive solution is to slow down, build genuine rapport, and understand the client, which actually speeds up the sales cycle.

At rapidly scaling companies, the growth team's primary focus isn't just proactive optimization. Amol from Anthropic spends 70% of his time on "success disasters"—firefighting issues where extreme success in one area breaks another part of the system, from acquisition to monetization.

Instead of just hiring more reps to handle PLG inbound, Cursor's McCarthy immediately re-segmented, giving strategic reps only four accounts (one customer, three prospects). This created a "forcing function" for proactive, value-based selling instead of just converting inbound demand.