Case Study: RealVNC transforms GTM performance with Lift AI

RealVNC boosts web-shop revenue 13% in 60 days with Lift AI

RealVNC, a global remote-access software company, faced a significant challenge as its go-to-market (GTM) engine was inefficient. The company was relying on traditional signals like form fills and pricing page visits, which were less than 20% accurate, causing their sales team to waste cycles chasing low-intent leads. To address this problem, RealVNC partnered with the vendor Lift AI to implement its buyer intent scoring product.

By using Lift AI's machine learning model to analyze real-time visitor behavior on its website, RealVNC gained a highly accurate intent signal. This solution enabled them to intelligently prioritize sales follow-ups, uncover hidden high-intent buyers in their existing CRM, and personalize website chat and on-page experiences. The measurable results for RealVNC were substantial, including a 71% increase in chat conversions, a 94% boost in pop-up click-through rates, a 13% lift in web-shop revenue, and a 67% reduction in cost per lead for retargeting campaigns. Lift AI transformed RealVNC's website into a powerful, data-driven revenue engine.

RealVNC