AI-powered signal-based selling is transforming outbound and ABM by enabling revenue teams to prioritize and personalize outreach in real time based on high-intent behavioral, product, and market triggers.
Snowflake’s $900M outbound-driven ARR surge in 2024 reveals the power of signal-based GTM strategies—where dynamic lead scoring, unified teams, and AI-assisted personalization drive precision, not volume—and shows how teams of any size can replicate this playbook with the right data infrastructure.
As LinkedIn tightens access to its data, businesses relying on third-party information will face increasing barriers, signaling the rise of paywalls, stricter controls, and a new era of monetized professional networking.
The top 1% of companies are abandoning outdated lead-gen methods in favor of real-time, signal-driven targeting to identify and engage future-fit customers before their competitors even know they exist.
Moving from account-level intent to contact-level intent is like upgrading from a vague treasure map to a GPS-guided hunt—B2B teams finally know who to target and why, instead of just guessing.
Contact-level technographics and expertise mapping redefine how organizations selling to engineers and developers identify, score, and prioritize accounts by revealing the true depth of opportunities within technical teams.
Like a fortune teller at your local carnival, 3rd party intent data providers deserve some scrutiny. We examine the overhyped promises of third-party intent data platforms and look for alternatives.