Rebecca Noy

Demand Generation + GTM Engineering

I combine 8+ years of demand generation expertise with new capabilities in AI and automation to build smarter GTM motions that drive growth and measurable pipeline.

↓Explore my work

Marketing spend without a connected strategy or measurable outcome

Inbound
Demand
Engine

In-person eventsPaid mediaWebsiteWebinars & virtual summitsEmail nurturingABM

↓PIPELINE

Case study 01

Building the inbound demand generation engine

I translate sales goals into a demand strategy, then build, execute, measure, and optimize the programs needed to generate pipeline against those targets.

~70%

of new-business pipeline is generated through inbound demand programs.

15 in-person conferences16 webinars & virtual summits a year300–500 registrants per online event40–50% attendance rate for online events

Certain details and data have been abstracted to protect proprietary information.

Case study 02

Building the automated inbound lead flow

I broke a complex inbound automation into mini-projects, building and testing each component before connecting them into one end-to-end flow.

BuildTestConnectScale

Inbound lead

The trigger

Contact enrichment

The basics needed for downstream qualification

Account context

Match the existing account or research a new one

Understand the account before judging the lead.

Relevance + qualification

Combine account context with lead-level signals

Smart routing

Send qualified leads into the right motion

Building GTM systems that don’t fall apart when your stack changes

Building the workflow is only part of the job. I wrote about what automating an inbound lead workflow across enrichment, research, and qualification taught me about where logic should live, what should stay in place, the dependencies new tools create, and the tradeoffs that shape GTM architecture.

Read the article

Illustration of three hands carefully rebuilding a wooden block tower

Case study 03

Turning a TAM into an actionable GTM strategy

Thousands of large employers. No reason yet to treat any of them differently.

Research and signals — not filters — are what create the focus.

Problem acknowledged

Solve the problem

Adjacent awareness

Connect the problem

Problem not established

Establish the problem

Activation & tracking loop

ClayHeyReachLinkedInHeyReachClaySlack

Engagement comes back through HeyReach into Clay, and Slack surfaces the resulting activity.

Broad marketAccount intelligenceMeaningful signalsProblem-awareness segmentsGTM playsActivation

Pick one

Give me a GTM problem.

Pick one. I'll show you where I'd start.