Intent Data as a Competitive Edge

Intent data is a competitive edge when it changes decisions: who gets a meeting, which sequence runs, what an AE researches five minutes before a call. Static firmographics rarely change those decisions on their own—they describe a zip code, not a moment.

Mindset first

Guillaume Cabane put it bluntly in a conversation we keep coming back to: tools matter, but mindset decides who compounds. Teams that treat signals as operational inputs—wired to routing, SLAs, and creative—pull away from teams that treat them as a quarterly dashboard.

Stacking signals (“lasagna,” not lottery tickets)

Single-source claims break the first time a vendor changes coverage. Layering complementary signals—career motion plus social engagement plus product usage when you have it—gives you a story that survives missing fields. Edges is built to participate in that stack as LinkedIn automation primitives you can compose, not as a monolith that pretends the world is simple.

PLG and product-aware GTM

Product-led growth adds usage signals to the mix: trials, invites, feature depth, and expansion thresholds. Intent is how sales and success align on the same clock—who is ready for outreach versus who needs nurture. APIs keep that clock accurate when events fire faster than humans can click.

In the next chapter we list concrete signal families RevOps teams automate against—and how LinkedIn API automation makes many of them actionable.