When rivals frame your product as a cheap feature, refuse the fight and name a larger category that changes who buys, why, and how much they will pay.
Gong
Gong is a revenue intelligence company founded in 2015 by Amit Bendov and Eilon Reshef that captures customer-facing sales conversations (calls, emails, meetings) and applies AI to explain and predict revenue. Both of its stories here spring from a single strategic refusal: rather than fight inside the crowded "conversation intelligence" market where it would be judged as a feature, Gong named a bigger category and re-framed who buys it and why. The through-line is that when you risk being seen as a feature, you do not out-feature the incumbents, you change the frame the market evaluates you in.
Category Creation: inventing "revenue intelligence" to escape a feature fight
The problem. When Gong launched, the obvious label for what it did was "conversation intelligence," the same term rivals like Chorus.ai used for call recording plus transcription analytics. That framing reads as a feature, something a buyer slots under sales enablement and prices cheaply, and it invited a commoditized knife fight over transcription accuracy. Gong risked being permanently boxed as a call-review tool.
The approach. Gong refused to anchor to that label and instead named and evangelized a new, larger category: revenue intelligence, using AI across the full set of customer interactions to understand and forecast revenue, not just to coach calls. It poured resources into teaching the market this category through data-driven thought leadership (publishing what its own corpus revealed about what actually wins deals) and a distinctive brand voice, positioning itself as the definitional authority of the category it coined.
How it solved it. The reframe worked, and the market adopted the "revenue intelligence" label industry-wide, the surest sign a category has taken hold. Gong reached a $7.25B valuation on its $250M Series E in June 2021 (led by Franklin Templeton), roughly six years after founding, and by 2024 it led the category with an IDC MarketScape "Leader" designation and roughly 45% market share. It scaled to about $285M ARR in 2023 and $332M in 2024, later announcing a $500M ARR run rate.
Positioning: moving the buyer up the org chart and the budget up in size
The problem. As a "conversation intelligence" tool, Gong's natural buyer was a sales-enablement manager and its value proposition was "better call reviews," a small budget line evaluated against cheaper point tools. Chorus.ai was building nearly identical technology and competing for the same buyer, so on that framing Gong could only win on features and lose on price.
The approach. Gong re-positioned both the buyer and the value: it aimed at the CRO and revenue leader rather than the enablement manager, and it reframed the payoff from call coaching to accurate forecasting, deal execution, and protecting the entire book of revenue. Capturing interactions across thousands of customers also built a proprietary dataset that a late copycat could not quickly replicate, reinforcing the positioning with a compounding data advantage.
How it solved it. The higher-altitude positioning expanded both the addressable budget and willingness to pay, and the divergence from Chorus proved the point: on nearly identical underlying technology, Chorus sold to ZoomInfo for about $575M in July 2021, while Gong was valued at $7.25B weeks earlier, an order-of-magnitude gap driven by positioning rather than product. By the Series E, Gong had 2,000+ customers, including three Fortune 20 companies, and had analyzed over half a billion customer interactions.