Scenario: A HealthTech Demand-Gen Team Reallocates Budget

This is an illustrative scenario, not a real customer story. Company details and figures are hypothetical and provided to demonstrate how Revenue Proven works.

A healthtech company's demand-gen team runs several LinkedIn campaigns in parallel and judges them mostly on cost per lead. The cheapest-per-lead campaign gets the most budget, but the team has never checked whether those leads come from the kinds of accounts that actually buy.

The challenge

Cost per lead optimizes for volume, not fit. Without a link to the CRM, the team cannot tell whether a low-CPL campaign is engaging in-market accounts or simply harvesting cheap, low-intent form fills.

What they did with Revenue Proven

• Connected LinkedIn and the CRM, then compared each campaign on engaged accounts that entered pipeline, not just raw lead count.
• Used Company Insights to separate campaigns engaging in-pipeline accounts from those engaging accounts that never progressed.
• Re-ranked campaigns by influenced-pipeline contribution instead of cost per lead.

Illustrative outcome

In this hypothetical scenario, the team could find that its lowest-CPL campaign engaged very few accounts that ever opened pipeline, while a higher-CPL campaign quietly engaged a large share of in-pipeline accounts, prompting a deliberate budget shift.

Why it matters

Optimizing for influenced pipeline instead of cost per lead keeps budget pointed at accounts that can actually become revenue.