CloudBase

The Challenge

CloudBase had been running an ABM program on LinkedIn for a year, targeting 200 enterprise accounts with personalized campaigns. The program felt like it was working — sales reps reported warmer conversations — but leadership wanted hard numbers to justify the premium CPMs that ABM targeting requires.

The Solution

CloudBase used RevenueProven to track engagement across their 200 target accounts and compare deal outcomes for ABM-touched vs. non-ABM accounts. The platform matched LinkedIn engagement signals to Salesforce opportunities, providing a clear A/B comparison.

The Results

The data was decisive: deals from ABM-influenced accounts averaged $180K vs. $64K for non-ABM deals — a 2.8x difference. ABM accounts also moved through the pipeline 45% faster, likely because multiple stakeholders had already been exposed to CloudBase's messaging before the first sales meeting.

CloudBase expanded their ABM target list from 200 to 500 accounts and increased their LinkedIn Ads ABM budget by 60%.

Key Takeaway

ABM programs are expensive by design — you're targeting fewer accounts with higher-touch campaigns. Attribution data proves whether that premium investment generates proportionally larger returns, turning ABM skeptics into advocates.