Setting an Evidence Standard for a PLG Trial Motion
A free-trial motion needed a way to tell whether a trial conversion represented real progress: whether it could be connected through provisioning, activation, product usage, qualification, sales follow-up, and revenue.
Context
For a B2B infrastructure technology company, marketing wanted to use a free trial as a primary entry point for a self-serve and PLG-influenced motion alongside traditional outbound and field demand. The trial had to be treated as a system, not a single landing page.
My role
Owned the campaign-side operating layer across acquisition, landing-page conversion, trial handoffs, reporting, and cross-functional decision cadence. The key responsibility was separating acquisition activity from evidence of actual product-led progression.
Constraints
- ·Multiple stakeholders across marketing operations, product, sales, analytics, and web.
- ·Reporting definitions for trial activation had to be agreed across functions.
- ·Launch had to land alongside scheduled campaign waves, so structural work could not block delivery.
Approach
- 01Mapped current-state buyer journey from awareness through trial start, activation milestones, and qualified handoff.
- 02Reviewed routing, lifecycle logic, and reporting definitions before scaling paid traffic.
- 03Aligned stakeholders on what qualified meant before, during, and after the trial window.
- 04Sequenced launch so structural fixes preceded paid spend rather than running in parallel.
System built
- ·Buyer-journey map covering entry points, activation signals, and handoff criteria.
- ·Shared definitions document for trial-stage terminology used across marketing, sales, and analytics.
- ·Launch checklist covering paid media, page, lifecycle, and reporting readiness.
- ·Stakeholder update cadence with structured pre-reads focused on decisions and risks.
Result
The work set an evidence standard for the motion: a platform conversion counts as progress only when it can be connected to activation, qualification, and sales progression, and acquisition scales only when that connection can be read. That standard sets the operating priorities: intent quality, activation instrumentation, routing, and downstream evidence ahead of more trial starts.
What made it hard
The hard part was not the campaign mechanics. It was getting four functions to agree on what a qualified trial meant and what the success signal looked like at each stage.
What I would do next
Strengthen product-usage instrumentation and qualification first, and run controlled experimentation only once the motion can produce a decision-quality read from acquisition through activation and downstream progression.
Leadership decision: evidence before scale
A platform conversion is not evidence of activated demand.
The decision was whether to keep optimizing acquisition volume or first connect acquisition to activation, qualification and sales progression. Paid-platform trial counts alone cannot establish business progress.
Decision test
Before scaling, ask whether validated downstream evidence (activation, PQL, sales progression) stands behind the conversion data. Conversion volume alone does not answer it.
Operating trade-off
Prioritize intent quality, activation measurement, routing and decision-ready reporting over celebrating more form fills.
Next decision rule
Run controlled acquisition experiments only when trial starts can be evaluated against qualified downstream progression.
Scope: campaign-side coordination, not product engineering ownership. The next decision rule is a recommendation, not a measured experiment outcome or a claim of revenue attribution.
Contact
Get in touch
Open to full-time Senior Manager, Director, and Director-track roles in demand generation, growth, PLG, and GTM systems. Remote preferred; selective Seattle-area hybrid.