abm-engagement-scoring

abm-engagement-scoring is a Marketing analytics & attribution skill for AI agents, published by NEON-Rutger in the B2B-revops-skills repository on GitHub. Skillspace rates abm-engagement-scoring D (62/100) and it passed the safety scan; the rating is based on static analysis only.

Account-level engagement scoring, buying group/DMU measurement, and marketing-to-sales handover triggers for account-based marketing programmes (50-500 named accounts). Use when the user mentions account engagement score, ABM measurement, buying committee, DMU coverage, account stage progression, engagement triggering sales handover, multiple stakeholder tracking, account qualification, or ABM programme measurement. Also trigger on 'how do we measure ABM success,' 'which accounts are hot,' 'do we have the buying group,' 'when do we hand this to sales,' 'account engagement scoring model,' or 'we run ABM but can't prove ROI.' BOUNDARY: Covers account-level engagement scoring, buying group measurement, and handover-to-sales triggers in ABM contexts. For lead-level scoring (fit + engagement dual-axis), see marketing-operations. For account selection and ICP methodology, see icp-builder. For sales speed-to-lead and routing, see lead-routing.

Grade

D

Quality

62 / 100

Safety

Passed

GitHub stars

37

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.