Case Study: Cacheflow improves LinkedIn Ads attribution by 30% with Factors.ai

How Cacheflow Improved LinkedIn Ads Attribution by 30% with Factors.ai

Cacheflow, a Palo Alto startup offering a deal-closing platform for CPQ, renewals, and billing, relied heavily on LinkedIn Ads for lead generation but struggled to understand what was actually driving results. After moving to GA4 and trying UTMs, custom cookies, and offline conversion tracking, the team still couldn’t identify 30–40% of lead sources, making budget decisions and attribution analysis difficult. Factors.ai helped them close that visibility gap.

Using Factors.ai, Cacheflow gained LinkedIn view-through attribution, account engagement insights, demographic data on engaged companies, better account identification for outbound, company-level conversion tracking through HubSpot, and Slack alerts for closed-lost accounts showing renewed intent. With Factors.ai, Cacheflow improved LinkedIn ads attribution by 30%, increased confidence in ad spend, generated 5–7 reconverted deals worth about $20K ACV each month, and created first-party intent signals that supported more targeted marketing and sales outreach.

Cacheflow

Riley Timmins

Director of Marketing