Resources & Insights

LinkedIn is facing a credibility crisis as bots, fake accounts, and automated outreach overwhelm users with noise, eroding trust and diminishing the platform’s value for legitimate business professionals.

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.

Traditional ABM tactics fail with technical audiences; to win developer mindshare today, companies need real-time, contact-level technographics that map skills, contributions, and actual builder behavior — not just job titles and firmographics.

To build a successful AI startup, you need a cross-functional engineering team with deep expertise in LLMs, scalable infrastructure, real-time UX, data pipelines, and prompt orchestration—each equipped with the right modern tools and GitHub-proven skills to ship adaptive, learning-first products.

High-performing GTM teams are ditching static data providers and turning to LeadGenius for real-time, curated contact intelligence—fueling global ABM campaigns, improving personalization, and driving higher conversions through precise, use-case-specific data orchestration.

Tagging contacts based on responsibilities, technologies, and account signals outperforms traditional job titles by expanding reach, improving personalization, and mapping the full buying committee for ABM success.

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 antitrust rulings, AI disruption, and shifting user behavior erode the dominance of Google and Meta, marketers must pivot toward decentralized discovery, channel diversification, and signal-powered custom data strategies to stay competitive in the new era of GTM.

Cold email isn’t dead, but in a world of smarter buyers and stricter filters, success now demands hyper-targeted signals, clean data, and messaging that earns attention—not automation that demands it.

AI and large language models are transforming how financial institutions engage with the SMB market by surfacing real-time business signals that reveal growth, risk, and opportunity at scale.