Slide 3 / Pain
What's broken in data-platform demand gen
Demand-gen tactics that worked in 2022 aren't moving today's evaluations.
01

Buyer panels see analyst content as marketing, not proof.

Magic Quadrant references and vendor-supplied ROI calculators get screened out by the data engineers who own the eval. They want to hear from peers running the same workload.

02

The shortlist is set before sales gets the inbound.

Buyers consult roughly seven verified peer reviews before issuing the RFP. By the time MQLs hit the CRM, the field of three is already locked in.

03

Field marketing can't follow buyers across the surfaces that matter.

AWS Marketplace listings, Reddit r/dataengineering, RFP libraries, and competitive G2 comparison pages each behave like a separate channel. Demand-gen budgets aren't activated where evaluators are actually reading.

04

Practitioner voice gets buried in approval.

The customer who would close a Databricks fight on a single quote is stuck in legal review for six weeks. The decision moment passes, the testimonial ships too late.