Buying Signal

Intent data captures signals that an account is researching or in-market for a solution — content consumption, hiring activity, technology changes, or funding events. It helps prioritize which accounts to contact now. Signal-based prioritization turns a flat list into a ranked queue of timely opportunities.

Lead scoring ranks prospects by how well they fit your ICP and how likely they are to convert, using attributes and signals to assign a score. It focuses rep time on the highest-value leads. AI lead scoring evaluates multiple dimensions — fit, data quality, and activation readiness — to prioritize outreach.

Sales intelligence is the practice of collecting, enriching, and analyzing data about companies and buyers to inform outbound and account-based selling. It combines firmographics, contact data, and buying signals so reps know who to contact, why, and when. Unlike a static database, modern sales intelligence is continuously refreshed and source-attributed.

Account-based marketing (ABM) is a B2B strategy that treats individual target accounts as markets of one — aligning sales and marketing around a defined list of high-value companies rather than casting a wide net. Execution depends on accurate firmographics, mapped buying committees, and verified multi-threaded contact data so every touchpoint reaches the right person at the right account.