A request lands in your inbox: “Can you research these leads and reach out with a personalized email?”

GTM work often starts like this. Hours or days of data pulls, manual research, and copy-paste personalization. The creative spark is there, the capacity is not. Even when an experiment works, it waits for someone to wire it together so the team can actually scale it.

This course turns that bottleneck into your edge. By the end, you will think and build like a GTM engineer. You will take a fuzzy ask and shape it into a small, testable workflow, connect the right signals, automate the last mile without losing the human touch, and prove impact with clean metrics. Two days later, the pilot is live, the team is looking at results, and you know what to scale next. Stakeholders see a repeatable way to measure ROI, the team ships ideas without waiting on a backlog, and you leave with artifacts that speak the language of decision makers.

What you will be able to do

> Connect real buyer signals to concrete actions across your stack

> Personalize at scale while staying credible and empathetic

> Translate vague requests into scoped workflows with clear success criteria

> Stitch data and tools into a single path from trigger to touch

> Design fast experiments with guardrails, quantify lift, then decide what to keep or kill

> Package results into demos and narratives that unlock adoption and budget

> Build reusable workflows that teams adopt, not ignore

> Assemble a portfolio of shipped automations and clear ROI stories

How you will learn

> Live workshops from GTM experts teaching key concepts and demoing workflows

> Ship something real every week to apply what we learn through carefully designed exercises.

> Leverage templates and office hours to adapt lessons to your own workflows. 

> Demo projects, iterate through feedback, and document outcomes so value is obvious to teammates and leaders.

> Interviews with hiring managers and GTM leaders.

What projects will cover

> Turning signals into context: capture the right inputs from sources like forms, events, and product usage, then enrich only what moves outcomes

> Research at scale, then human review: use software to gather last-mile details, keep humans focused on judgment, not copying and pasting

> Credible personalization: generate message variants that reference real context so outreach feels specific, not templated

> Outbound and follow-up flows: move from prospect discovery to sequencing in one chain, then iterate based on measured lift

Inbound triage and routing: qualify as data arrives, score using simple rules, trigger the next best action automatically

> Data hygiene and refresh: close CRM gaps, prevent duplicates, and update high-value records on the cadence your business needs

The result

You leave with a working system, not just notes. You have a repeatable method for rapid experimentation, artifacts you can demo, and a clear story of business impact. Most important, you become the person who shortens the path from idea to impact, with proof you can show and systems your team will keep using.