Millie Beetham’s Post

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Sr. Director, GTM Strategy & ZoomInfo Labs | NASDAQ: ZI

New topic: negative signals for GTM. No, not churn signals. Signals that say "they're not going to buy right now". Here’s a real example: You sell marketing automation software. You see a good-fit company just hired a new VP of Demand Gen, and they're showing intent signal spike for 'marketing automation'. Seems like a perfect opportunity, right? But what if… They just installed a leading marketing automation platform two months ago. That intent signal may mean the new hire + their team is just researching, learning about their new tool, not shopping for a new one. Consider both positive and negative signals as you build your audiences, models, and plays. Just like in any good SEM strategy where you build a list of negative keywords to improve your ad conversion rates, you need the full picture to avoid wasting time on false opportunities when you architect your GTM. The value is in the clustering of these signals. E.g. They purchased technology 2 months ago that is within the same category of the intent they are showing again today (think: that’s a technographic signal, with two intent signal spikes X time period apart). The hard part, of course, is contextualizing all this data to get a complete historical, multi-signal view at any account. The unlock is: knowing not just when to engage, but when to hold back. Because sometimes, what looks like a buying signal is actually a signal to wait. How are GTM teams doing this today? Are you considering this as you build your propensity models or even just basic ICP definitions? Talk to me!

Holly Rollo

CEO | Strategic GTM Advisor | B2B Transformational Leader | Best-Selling Author | Board Member

5d

Great insight! The power of negative signals often gets overlooked in GTM strategy, but understanding when to hold back can be just as valuable as knowing when to engage. Clustering signals gives a fuller picture and prevents wasted effort on false opportunities. It's all about smart, informed targeting, especially as AI and data-driven models evolve.

Ben Salzman

EVP, GTM Strategy & ZI Labs at ZoomInfo

6d

This is an underrated strategy to drive focus on the right accounts 🤩

💜 Will GPT

Cofounder @ Lavender | Building Email Intelligence | +30k Active Users | Billions of Sales Emails Analyzed

6d

Dang... feels like an inevitable evolution, but VERY cool to see this available for folks. The prioritization this brings: saves time, improves reply rates, and reduces your deliverability risks. A pretty big win if teams use it well.

Immediately going to bring this into conversation with my customers

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