Rebuilding a demand engine around pipeline, not leads
Plenty of leads, almost no pipeline. The fix was a measurement model everyone trusted, then rebuilding the channel mix on top of it.
- Engagement
- A Series A B2B SaaS platform
- Pillar
- Digital Marketing
- Scope
- Performance, SEO/AEO, lifecycle, analytics
- Region
- US · UK
What we found
The sequence, in order
Fix the measurement before touching spend
A single data model joining product, CRM and marketing, with server-side collection so the platforms optimise against real outcomes rather than browser-side approximations. Until marketing and sales are reading the same number, every other decision is an argument.
Re-cut the channel mix against pipeline
With attribution reconciled, spend gets re-weighted toward the campaigns that source pipeline rather than the ones that harvest it. That usually means cutting branded retargeting budget and being uncomfortable for a fortnight.
Rebuild the content around commercial intent
Topic clusters mapped to the queries buyers use when they are close to a decision, structured so answer engines can quote them — the same structural work serves SEO and AEO at once.
Close the lifecycle gap
Scoring and routing agreed with sales, and flows that follow up whether or not anyone remembers. Most pipeline is lost to silence after the form fill, not before it.
What this is judged on
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