The other participants in the round include Primary Venture Partners, Correlation Ventures, Company Ventures, Habitat Partners (Red Antler), and the Sequoia Scout Fund.
Used as a tool for commerce brands, Zenlytic unifies business intelligence and product analytics into a simple natural-language interface.
Non-technical users also use Zenlytic to discover what drives their acquisition, conversion, and retention, all in a single tool, without relying on data teams.
“The BI industry has been lying to us for 30 years now, by grossly exaggerating their self-serve capabilities. But with legacy BI, self-serve usually means viewing a dashboard and then emailing follow-up questions to a data team. This is especially painful for commerce brands – they have a wealth of actionable data but often have fewer technical data people!,” said Ryan Janssen, co-founder and CEO of Zenlytic.
Zenlytic already replaced their old BI tool after it was proven useful to the entire team, said Melissa DiNapoli, Director of Omnichannel at LOLA, a leading women’s health brand.
Thanks to Zenlytic, DiNapoli said, that as soon as everyone started asking data-driven questions, new ideas just started to appear, thus they are now able to better understand and optimize the drivers of their core business loops.
Scott Friend, Partner at Bain Capital Ventures, said he is thrilled that Zenlytic is bringing AI to BI. He added that AI is now transforming image generation, text, and speech. He also lauded Zenlytic for seeing a future where AI technology can make advanced analytics accessible to brands everywhere.
Zenlytic is the first commerce-focused BI tool that is built natively for cloud data warehouses to allow its users to have the same enterprise-grade BI as the world’s largest brands. Users are now able to reconcile the ‘data silos’ in their SaaS tools, and unlock deeper, more customizable analytics than with off-the-shelf dashboards.
As the leading Business Intelligence and Product Analytics tool built exclusively for commerce and DTC brands, Zenlytic helps these brands use data to understand the drivers of their acquisition, conversion, and retention. It combines dashboards, data drilling, cohorting, conversion funnels, and user journeys into one unified tool for commerce operators, all accessible with natural language instead of SQL.