A biostatistics and clinical-data consultancy with a narrow buyer set, a long decision cycle, and conversion volume too thin for orthodox testing. Lead OS deployed across five layers, algorithm-led variant velocity, sales-team lead-quality feedback in the loop.
Variant cadence
Agency pace → Algorithm-led continuous
Layers engaged
5 of 6 · continuous
Sales feedback in loop
CRM notes → Continuous into bidding
Measurement
Server-side · CAPI + LinkedIn
Inbound was inconsistent. Paid was a black box at the board read. The head of growth could not defend which channel produced which kind of lead, and the vertical (pharma analytics, CRO biostatistics, academic research) is too narrow for the horizontal-B2B creative-volume playbooks that work elsewhere. Variants shipped at agency pace, and sales-team lead-quality reads never reached the bidding model in a form anyone could allocate against.
Signals firing the engagement
Five layers engaged, Analytics scoped but de-prioritized given the conversion volume. Each layer reads a named artifact from the layer above and writes a named artifact back. The buyer can audit any handoff because every move is logged.
Not engaged in this cycle.
Creative Testing Loop + Algorithmic Media Operation for continuous reallocation. Sales-team lead-quality feedback writes back into the loop continuously, algorithm-led.
Creative Production to maintain variant velocity despite low conversion volume. Hypothesis docket replaces vibe-driven testing.
Growth Strategy Model to allocate budget against channel-confidence tiers, with kill criteria written before launch.
Strategic Read to map the buyer set against channel fit. ICP shortlist, category position, where to spend versus where to wait.
Signal Audit + Conversion Infrastructure to fix the bidding signal before any media spent against it. Server-side GA4, Meta CAPI, LinkedIn Conversions API, CRM-routed conversions.
The integration is the point. Lead OS routes the sales-team lead-quality read back into the Optimization layer continuously, algorithm-led, and the same scores retrain the creative loop on which angles produced qualified opens, not just clicks.
Artifact · Variant + reallocation log
Artifact · Strategic Read refreshed on each cycle
Artifact · Event schema document, version-controlled
Process metrics · published
Variant cadence
Agency pace → Algorithm-led continuous
Channels in coordination
1 → 3 (Search, LinkedIn, Meta)
Server-side measurement
GA4 + CAPI + LinkedIn live
Sales feedback in loop
In CRM notes → Continuous into bidding
Directional reads · qualitative
Quantified lifts · publish at cycle closeCost-per-SQL, pipeline-influence, and sales-cycle figures publish on the next cycle close. Process facts above are on the record now.
A continuous operating read with the audit trail attached. Every approved move, every kill, every reallocation logged as a prediction-versus-actual row. The buyer can defend any decision against the record.
The operation runs continuously, algorithm-led. Every cycle feeds sales lead-quality reads back into bidding and creative; the Strategic Read refreshes against the same source data; the compounding review runs against the pre-engagement baseline; the audit trail accumulates the whole way through.
Engineered cadenceContinuous readOutcome at handoff
After the projectDynamic Lead OS.See how Lead OS runs end-to-end.