David Chevalier explains Surfe's data enrichment positioning in CRM ecosystems during an interview with Nathan Latka.
Insight
Chevalier: Meaningful sales recommendations require proprietary models, not just signal data
“To have a meaningful recommendation, because you can also have recommendations just based on signaling data, which again, you can buy, but to be meaningful you need to do all this pre-work and data analysis and ingestion into your model to generate an alpha.”
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Chevalier: Surfe generates roughly $15 million in ARR
“We roughly at that size. Yes.”
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Chevalier: Surfe hit $1M ARR in 18 months without sales team
“The first one million we've reached in one and a half years. So six years, that was quite fast. Six years ago, now I know. When you're in AI native companies, you probably may reach that faster, but big then it was pretty big for us, and we've reached that sol…”
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Surfe's Largest Customer Pays Over $1M Annually
“So they pay more than a million per year.”
Insight
Chevalier: International GTM motions require waterfall data enrichment for coverage
“First of all, I would always go for a waterfall provider. ... With a waterfall, and especially if you have a go-to-market motion, which is internationally, so you need more data providers as you may go abroad, so you need to add some specificity, a waterfall m…”
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Chevalier: Surfe Built Its Waterfall Enrichment Engine for Google
“What we call a waterfall and what is famous now on the market. We started actually to build that three and a half years ago for our, one of our biggest clients, which is Google. And they had of course a few different data sources, but they didn't know like how…”