Case Study: HoneyBook achieves 3.5X more VIP customers with Voyantis

Honeybook gets 3.5X VIP paying customers with LTV predictions

HoneyBook, a company specializing in end-to-end business management software, faced the challenge of identifying its highest-value customers early in the user journey. These VIP customers, who use the payment service, were difficult to pinpoint, with only 2% being identified in the first 30 days. This lack of insight forced HoneyBook to optimize its advertising campaigns using free-trial signups as a weak proxy metric instead of true value.

To solve this, Voyantis implemented its AI-powered prediction model to forecast the likelihood of users becoming high-value, paying customers. Using these predictions for value-based bidding on Google and Meta campaigns, HoneyBook achieved remarkable results. The partnership with Voyantis drove a 3.5x increase in VIP customer acquisition and reduced customer acquisition cost (CAC) by 50%, all while maintaining a strong return on ad spend.

HoneyBook

Shai Brumer

Sr. Director, Data & Scale