How to unify and orchestrate your B2B data to drive revenue | MarTech
Briefly

How to unify and orchestrate your B2B data to drive revenue | MarTech
"Most organizations overlook conflicting incentives. Marketing and demand generation are evaluated on lead volume and MQL acquisition, while sales is evaluated on closed revenue. These aren't the same metric, and optimizing for one often undermines the other."
"This misalignment creates friction between teams, slows down sales cycles, increases acquisition costs, and makes it harder to understand what's actually driving pipeline. Marketing and sales operate on different datasets, with different definitions and views of the customer journey."
"You're not spending acquisition dollars effectively because you're flying blind on what actually converts, at what stage, and in which accounts. The fix isn't adding another attribution tool to your stack. You need to rebuild the data."
B2B organizations struggle with a broken feedback loop where marketing generates leads without aligning with sales needs. This misalignment results in lost deals and ineffective campaigns. Conflicting incentives between marketing and sales create friction, slow sales cycles, and obscure understanding of pipeline drivers. Organizations often fail to recognize the revenue impact of fragmented data, leading to continued spending on ineffective strategies. A solution requires rebuilding data processes rather than simply adding new tools to the existing stack.
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