B2B Pipeline
Growth.
Scale acquisition, conversion, and revenue across complex enterprise sales cycles — with experiments that measure what works before you commit more budget.
Get a Pipeline Audit →Five levers for
pipeline growth.
Pipeline Diagnostics
Full-funnel audit of your acquisition, conversion, and revenue pipeline. Locate where deals stall, assess the evidence behind channel performance, and rank the decisions worth testing.
Channel Experimentation
Structured experimentation across paid, organic, and partner channels. Every test is sized before launch, tied to a customer or revenue decision, and closed with a scale, stop, or learn call.
Geo-Holdout Testing
Estimate incremental impact by comparing test and selected holdout markets, with market comparability, spillover, and uncertainty documented in the readout.
Attribution Modeling
Move beyond last-click reporting with multi-touch models calibrated against incrementality evidence where feasible. Build a measurement system with assumptions leadership can inspect.
Market Expansion Playbook
Framework for testing demand in a new market, vertical, or segment before committing a larger budget, then using the evidence to inform expansion decisions.
Enterprise pipeline
at scale.
Analytics and experimentation infrastructure supporting a $1B+ new-client pipeline at Silicon Valley Bank.
Served as the sole analytics function for a major financial institution's startup banking division. Built measurement infrastructure from scratch, designed geo-holdout experiments to estimate marketing incrementality, and expanded the measurement playbook across new markets. This is historical in-house work, not a forecast for a consulting engagement.
How pipeline
experimentation works.
Campaign reporting often mixes attributed and incremental pipeline. I build a system that estimates the difference where design and data permit, and makes the assumptions visible before budget moves.
Every engagement starts with a pipeline diagnostic and a scoped measurement plan. The deliverables make the evidence, assumptions, and next decisions inspectable by your revenue team; trust is earned in review, not promised in the copy.
Back to Enterprise Growth Strategy →B2B pipeline
growth questions.
How long does it take to see pipeline growth results?
A credible result date depends on eligible traffic, conversion volume, sales-cycle length, variance, and the minimum effect worth detecting. The engagement commits to controllable deliverables — baseline validation, a revenue-linked KPI tree, test sizing, and an agreed launch plan — rather than guaranteeing pipeline impact by a fixed date.
What is geo-holdout testing and why does it matter for B2B?
Geo-holdout testing estimates incremental marketing impact by comparing test markets with selected control markets. When market comparability, interference, and sample-size assumptions are credible, it provides stronger evidence than attribution alone about demand created versus demand captured.
Can this approach work alongside our existing demand gen team?
Yes. The experimentation framework layers on top of your existing programs. Your demand gen team continues running campaigns while we build the measurement infrastructure needed to estimate incremental pipeline and show the assumptions behind that estimate.
How do you handle multi-touch attribution in enterprise sales cycles?
Multi-touch attribution is treated as a directional model, not causal proof. Where the data and market design allow it, I pair attribution with holdouts or incrementality tests and state the remaining assumptions so leadership can judge how much confidence to place in the result.
Ready to scale
your pipeline?
Start with a pipeline diagnostic. Understand where the leverage is before committing to a strategy.
Request a Pipeline Diagnostic →Revenue Frameworks
for Growth Leaders
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