The Ledger, every show

“The transcripts, and the number of conversations, and the quality of conversations, the depth, and the content she was talking about, and it would have taken 89 SDRs and 19 sales engineers to do the job that Fiona is doing today.”

“I actually think we're about to cross the chasm where people trust AI more than humans because we have the ability to put the AI on really tight guardrails. And if you do this right, and once society actually moves to that point, they're going to demand to tal…”

“At some point we will. Definitely the commercial AEs will be next. The strategic ones, the lifeline is a little bit longer.”

“When I was out raising our series A, I was like, okay, I'll clone myself. And I took gave, put my pitch deck into my superhuman and it went out and Raise the money from the VCs. So I let my superhuman go raise money from VCs. So they, it basically was out pitc…”

“Fiona is set to talk to their SMB business, so when somebody asks for a demo, they engage with Fiona, she gives the demo, she qualifies, she takes them through to close, and they were able to increase their revenue by 25% in their SMB small business segment.”

“We've been in market for 18 months, so we've, you know, we've come up on a full year of renewal cycles. We had a 211% NDR, which is amazing.”

“78% of our pipeline has been sourced and created via Mindy, our superhuman. She's putting on eight figures a quarter, if not more, in qualified pipeline.”

“You know, like even since having a tough time right now, at one point was valued at five billion. And those people, I took some off at that valuation as well.”

“And the beauty for B to B is that the research That you're doing in a B to B environment, as you're going across these multiple screens, and you have multiple buyers across these buying committees, they're leaving a far richer digital trace than anything B to …”

“They bond from a five percent marketing to sales conversion rate to 71%.”

“The face, I believe, will be commoditized at some point, so we did start out building face, and then we kind of said, you know what, we're more about the brain.”

“We broke a million from when we went out selling within probably three months.”

“We were able to predict with an 80, like three percent accuracy rate when an account was in market to buy.”

“It'll absolutely be on the buy side as well, right? So if you're thinking about buying something, you want to go out and say, here, these are my requirements. So you have an agent build the requirements based on my business and based on the things that I care …”

“I was at a conference yesterday with about 350 CEOs, and there happened to be maybe three women in the room.”

“I was in a room with about 25 CMOs recently, and this is one of my most favorite moments. The question was asked, what was the number one thing that you would like, that you want to know of your prospects? The number one thing that CMOs answered was timing.”

“They started with two billion dollars in pipeline from predictive to now seven billion dollars in pipeline”

“The opportunities that come through predictive are five times greater the size because they're getting into the deal early. So what was previously a 10,000 dollar opportunity size is now on average a 50,000 dollar opportunity size.”

“The quarter before they went public, 86% of their business came from our purchase stage predictions.”

“Well, sure enough, they're in a sales cycle with their competitor, and it turned into the third largest deal in the company's history, 1.7 million dollars.”

“They're a Y Combinator company, built the third largest instance of Hadoop in the world, a real time predictive ad serving tool.”

“We don't claim to have all search data across the web. We have access to about 40% and how we do it is a huge competitive differentiation for us.”

“And then we have a lot of PLG companies that are using it for onboarding to get people to go from free trial to paid.”

“Almost every customer within 90 days of going live adds a second superhuman.”

“I'll never forget one of the first predictions was the Church of Latter-day Saints. And we predicted that they would buy five million dollars worth of networking and security from Cisco. And then we were right. And it was like, oh shit. Wow. Like they went fro…”

“Went down Sand Hill Road, had sixty-some VC meetings, got a lot. I mean, it's like 22 all-partner meetings, which is crazy because we had product market, we had market fit”

“We raised twelve million dollars was our Series A. We didn't do a seed round because I didn't need it.”

“Salesforce just bought our closest competitor right now. So, you know, they see, obviously they're seeing the writing on the wall that this is the way the direction is going.”

“And then when we went to market, We hit a million pretty fast. How fast? Months. And that was mainly enterprise deals? Yeah. All enterprise deals.”

“They found not only a four X lift in their opportunities, but one of the really interesting things is the sales product It usually took one in 33 touches for an inside salesperson to qualify a lead. Now it takes them one in 10 with the six cent scores.”