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Building a demand generation engine from an inconsistent pipeline

Northfield Instruments, a B2B measurement-hardware manufacturer

Building a demand generation engine from an inconsistent pipeline — representative photograph
+96%Qualified pipeline year over year
-22%Cost per qualified lead
1Shared attribution view replacing two conflicting dashboards
Building a demand generation engine from an inconsistent pipeline
Challenge

Strong reputation in a specialist market, but marketing-sourced pipeline swung wildly month to month, and sales couldn't build a forecast around it.

Objective

A repeatable acquisition process producing qualified pipeline on a predictable monthly cadence.

Strategy

We ran full Discovery against the existing funnel before recommending anything: found that a third of reported conversions were duplicated across two tracking systems, and that the highest-intent search terms weren't being bid on at all because they'd been excluded from an old negative-keyword list years earlier.

Timeline

12-month engagement; corrected baseline established in weeks 1–3, pipeline growth visible from month 3

Execution

  • Fixed the duplicate-conversion issue before touching campaign structure, so month one's baseline was actually real
  • Rebuilt search campaigns around buyer-intent terms the old negative-keyword list had been silently blocking
  • Stood up a single attribution view so marketing and sales worked from the same pipeline number

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