DataVault

The Challenge

DataVault sells enterprise data infrastructure with an average deal size of $250K and a 9-month sales cycle. Traditional attribution was useless — cookies expire in 30 days, and the person who first clicked an ad was never the person who signed the contract. Their marketing team had no way to prove LinkedIn's role in deals that started nearly a year ago.

The Solution

RevenueProven's extended lookback windows allowed DataVault to track company engagement across their entire 9-month sales cycle. The platform matched LinkedIn ad engagement data from all stakeholders at each account to Salesforce opportunities, building complete account-level journey timelines.

The Results

The attribution analysis revealed $4.8M in enterprise pipeline influenced by LinkedIn Ads — deals where an average of 12 stakeholders per account had been exposed to campaigns. The data showed that LinkedIn's brand building created the initial awareness that eventually led to inbound demo requests.

DataVault's CMO used the data to secure a multi-year LinkedIn Ads commitment, knowing that this quarter's ad spend would show up in next year's pipeline — and now they had the data to prove the connection.

Key Takeaway

Enterprise attribution requires long lookback windows and company-level tracking. Cookie-based tools fail at exactly the scale where attribution matters most.