Most B2B organizations operate with a broken feedback loop. Marketing drives lead generation from engagement signals. Demand gen then qualifies those leads using criteria that frequently don’t match what sales actually needs. Sales either closes the deal (or doesn’t), usually with minimal insight into the marketing activities that brought the prospect to the table in the first place. When a deal is lost, the learnings rarely make their way back into acquisition strategy. The outcome: you continue funding the same campaigns, going after loosely defined audiences, and asking why conversion rates never improve. You already recognize the symptoms of fragmented data: you’ve heard them in QBRs, spotted them in conflicting attribution reports, and felt them every time marketing and sales argue over whose numbers are accurate. But identifying the issue is only the starting point. What’s far more difficult is quantifying the revenue impact of this fragmentation and the ROI of solving it. If you’re somewhere between “we need to fix our data” and “here’s the detailed roadmap,” this is for you. It’s a hands-on guide for B2B leaders who own revenue outcomes but are mired in operational complexity. Your customers are searching across every channel. Make sure your brand is there. The SEO toolkit you rely on, now with the AI-powered visibility data you’re missing. Start Free Trial Get started with Conflicting incentives are draining your revenue Most organizations underestimate the impact of conflicting incentives. Marketing and demand gen are measured on lead volume and MQL production. Sales is measured on closed-won revenue. These are fundamentally different metrics, and optimizing for one can easily work against the other. This misalignment leads to…