HeadsUp builds a machine-learning conversion engine for product-led growth (PLG) sales teams that analyzes usage, billing, CRM and third-party data to surface the best users and times to engage. The model is trained on SaaS company data and lets clients pick objectives like conversion or churn prevention, then returns a simple score and 4–5 key predictive data points with contextual details. HeadsUp targets PLG and other SaaS companies—customers include unicorn SaaS firms—and is optimized for small sales teams needing to monetize large user bases. The article notes typical SaaS conversion rates of 1–2% and that companies can have hundreds of thousands to millions of users, underscoring the scale problem HeadsUp addresses. Founders Earl Lee and Momo Ong built an internal tool at Fiscalnote (where they were early employees) before launching HeadsUp. The startup will use its new funding to expand hiring, specifically Scala backend engineers, data scientists and machine-learning engineers.

Total raised

$9M

Funding rounds

1

Latest round

Seed

Latest activity

Sep 2022