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Founder at Dusted
This case study was created from an episode of the Product Marketing Adventure Podcast. It has been adapted into Dusted's case study format to preserve and showcase the guest's real-world experience. Written to preserve the voice of the true author, Collin Mayjack.
I like to think of Sybill as a shared memory for all of your sales and go-to-market team. It captures everything from CRM activity to emails to all of your calls and pulls that into one memory or context layer that the whole team can pull from. AEs can figure out what the best reps have said to close a deal. The CRO can understand what’s actually happening in their pipeline with real-time insight instead of generic risk flags. Sales managers get the context they need from their best reps to coach others. We compete in the conversational intelligence category—the Goliath for us is Gong. When I joined Sybill we were in a transition: a lot of people still thought of us as a generic note-taker, yet we were built for sales teams and already seeing traction with companies switching from Gong because of discontent with Gong’s AI performance and insight accuracy. We compete for the same budget line most of the time; you’re usually going to pay for only one conversational intelligence tool.
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When I joined, almost no one knew we existed. We had low brand familiarity while everyone knew Gong. We were seeing a clear pattern across deals: the ones we won most easily were when we were up against Gong, and attaching ourselves in people’s minds as a Gong alternative produced more traction than we otherwise got. At our Series A size there was heavy pressure to grow fast. Gong is a ~$300M ARR company; even capturing a slice of their churn (assume 10%) would be transformative for us. The risk was remaining invisible or forever boxed in as “just another note-taker” while fighting for the same budget against the market leader.
I saw the opportunity: if we attached ourselves to the giant we could borrow their brand familiarity, drive our own awareness, and capture churn. First we got crystal-clear as a team on competitive differentiation. Gong was strong at trackers, call recordings, and single-call summaries, but it couldn’t let you query across all of your calls in a GPT-style interface (“look at the last 90 days and tell me what our best rep said about objection X”). Sybill could—that cross-call query ability became our special sauce, and AI accuracy was a byproduct of looking at the full dataset at once. We let that differentiation color every asset.
Second, we inverted the differentiation into the pain points of the incumbent. I dug into Reddit and comment sections for real Gong frustrations, interviewed switchers (one AE said “Sybill’s AI is so much better… the AI was never accurate”), and amplified those truths. We ran two high-profile plays: a “Gong Wrapped” carousel timed with Spotify Wrapped that quantified pain (“you spent 56 hours digging through call recordings… you set up 22 trackers that didn’t fire… Gong is increasing pricing 20%”), and an April Fools post announcing I was leaving Sybill for Gong (“excited to move from shipping every week to shipping annually”) followed the next day by “I quit Gong before I started—here are three features we shipped this week.” Both were rooted in verifiable truth and spaced roughly six months apart so we wouldn’t become known only as anti-Gong.
Third, we built a full-funnel competitive motion. The cheeky social pieces were top-of-funnel ignition; we stitched them to bottom-of-funnel assets (a Sybill-vs-Gong webinar Drew proposed, product education posts, interactive proof) so the viral moments converted into pipeline. Our head of sales development monitored engagers and ran outbound. We stayed ad-hoc and fast—a small-team luxury—while ensuring every loud claim had receipts. Finally we put a face on it: I used my personal LinkedIn rather than the faceless company page. Product marketers are uniquely positioned to own the message; the human attachment created disproportionate loyalty and made bold claims feel courageous rather than corporate. Culture mattered—high autonomy from our CEO plus a desire for a spiky brand—and two simple filters kept us honest: Is the critique true about both products? Are we doing the big swing too often?
We relied on LinkedIn (personal profiles across the team, especially mine) as the primary distribution channel for the bold content. Reddit threads and vendor social comment sections supplied authentic pain-point language. Customer switcher interviews and our own product (querying Sybill itself for “who are we winning with?”) surface the Gong-switcher insight that became our top win theme. A designer turned the Gong Wrapped concept into a carousel in 48 hours. We paired the social spikes with a comparison webinar, product-update posts, and SDR outreach sequences that converted engagers into pipeline. Internally we used simple litmus tests and spacing (biannual big swings) rather than heavy process.
Anytime a customer is in active deal analysis comparing Sybill versus Gong, our win rate is 80%. When I ask Sybill “who are we winning with?” the top insight it surfaces is Gong switchers; a significant amount of our revenue growth over the last eight or nine months has come from them. As a company we doubled ARR from September through April—over 100% growth—which closely coincides with the choice to go all-in on Gong. The loud content created top-of-funnel moments that our bottom-funnel assets and outbound turned into real pipeline, proving that a startup can punch up, critique the status quo, and convert that attention into measurable revenue when the differentiation is real and the receipts are public.
Founder at Dusted
Founder at Dusted
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