The Marketing/Sales Alignment

The marketing–sales handshake is often broken due to misaligned goals (MQLs vs. revenue), delayed feedback loops, shallow or missing context in lead handoffs, and different data languages and silos.

AI can fix these frictions by enabling shared targeting (one ICP agreed by both teams, based on real revenue data), automated knowledge transfer (objection handling, sales collateral, and insights directly captured from calls and workflows), context-rich follow-ups (AI provides intent, buyer stage, and sentiment for better outreach), and dynamic lead scoring (adaptive models that update based on outcomes and deal data).

AI transforms handoffs into real-time, context-driven signals instead of slow, generic lead lists.

Shared analysis of sales calls, campaigns, and ICP updates builds mutual trust and alignment, letting both teams speak the same language.

For marketing leaders, this means greater confidence in revenue conversations and stronger cross-functional momentum.