GTM Engineering Masterclass | Signals, Automation & AI with Head of GTM Engineering at Clay

Описание: Most marketing teams have heard of GTM Engineering.Few truly understand what it means or how to implement it without adding more tools to the stack.

In this episode of XgridTalks, Saad Arshed (COO at Xgrid) sits down with Everett Berry, Head of GTM Engineering at Clay, to unpack what GTM Engineering looks like in practice and how leading companies are using it to scale their go-to-market motion.

Inside the GTM playbook:
GTM Engineering Definition
→ Treating go-to-market like a product with design, iteration, releases, and analytics, not just automation.
💬 “GTM Engineering is about building systems, not campaigns,” says Everett. “It’s the feedback loop that makes revenue predictable.”

Data Quality First
→ The first 90 days should focus on data quality. Everything else—automation, personalization, orchestration—depends on this foundation.
💬 “If your data’s a mess, your GTM is a mess,” Everett notes.
Signal Intelligence

→ Don’t react immediately to signals. Build composite heat scores using multiple signals to move accounts through increasingly personalized campaigns.
Custom Signals as Moat
→ Everyone tracks job changes and website visits. Real differentiation comes from unique signals specific to your buyers, like Waste Management analyzing dumpster colors via Google Street View.
Multi-Channel Orchestration

→ Personalize across LinkedIn DMs, iMessage, WhatsApp, and physical touchpoints based on enriched data, not just better email copy.
GTM Stack Components
→ Four essentials: system of record (CRM), enrichment tools, action systems (sequencers), and analytics engine. Most teams only have one or two.

Experimentation Framework
→ Run two-week GTM sprints testing accounts, signals, messaging, and channels. Iterate like product development.
💬 “The best GTM teams think like engineers—test, learn, and redeploy every two weeks,” Everett explains.

The conversation gets tactical on questions every marketing and RevOps leader faces:
How do you structure a GTM engineering stack from scratch?
What’s the right way to use intent data and signals?
Where should early-stage startups focus their GTM efforts?
How is AI actually being used in GTM (beyond the hype)?
Which channels are replacing cold email as it loses effectiveness?
If you’re in Marketing Ops, RevOps, or leading GTM strategy, this episode breaks down how GTM Engineering actually works — practically, not theoretically.

Learn More
https://www.xgrid.co/resources/go-to-...
—
Discover More from Xgrid!
Want even more Tech Insights and Marketing Industry Trends? We've got you covered:
Xgrid Talks: In-depth discussions with experts from around the globe. Xgrid Talks
Xgrid Podcasts: Dive deeper with our in-house podcast series. Xgrid Podcast - YouTube

Connect with Us:
We'd love to hear from you – find us on your favorite platforms:
LinkedIn:   / xgrid  
Instagram:   / xgrid.co  
Twitter:   / xgridco  
Website: https://www.xgrid.co/

#gtmengineering #clay #growthmarketing #salesautomation #marketingautomation #b2bsales #revops #salesops #aiinsales #startupgrowth #b2bmarketingstrategy #demandgeneration #salesenablement #leadgeneration #agenticai #xgrid #xgridtalks #automation #aigtm #aiinb2b