Case Study: Rocketlane achieves 23% more MQLs and stronger pipeline with Factors.ai

A Factors.AI Case Study

Preview of the Rocketlane Case Study

How Rocketlane Generated 23% More MQLs and Boosted Pipeline with Factors.ai

Rocketlane, a customer onboarding and Professional Services Automation platform, was struggling to identify high-intent accounts, measure marketing ROI, and connect scattered data from CRM, website, LinkedIn, and G2 intent signals. The team needed better visibility into which campaigns and activities were actually driving pipeline, along with stronger account prioritization and integrations with their existing tools. Factors.ai was brought in to help address these challenges.

With Factors.ai, Rocketlane implemented account tracking, marketing ROI tracking, CRM integration, and data trend analysis to unify account data and surface high-value prospects. The team quickly began identifying high-intent website visitors, tiering accounts for sales or nurture, and tying LinkedIn campaigns to pipeline. As a result, Rocketlane reported 23% higher MQLs from ABM campaigns, more than 6,500 ICP accounts identified per month, and earlier pipeline identification, while improving operational efficiency and making marketing decisions more data-driven.


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Rocketlane

Steve Colberg

Head of Growth


Factors.AI

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