What problem does it solve? Scraping people who like or comment on a competitor's or customer's LinkedIn posts produces raw lists full of unusable contacts — including the source company's own employees — and roughly 9 in 10 engagers fail ICP filtering, wasting enrichment spend. This playbook defines the gating, suppression, and cost-planning rules that turn that raw engagement signal into clean prospect rows. ## Core Features & Use Cases - Source-company exclusion rule: Drops every engager employed by any source company using four match paths (resolved domain, email domain, profile URL, squashed name), and pushes source companies onto the client's do-not-contact list. - ICP gating before paid calls: Applies headcount, country, and title filters plus suppression checks (client DNC, existing TAM, live campaigns) so email finding runs only on the ~10% of survivors. - Clay implementation specs: Provides both a Clay table column design and a Clay workflow graph with precondition checks that refuse to run on unresolved sources or missing ICP data. - Use Case: A sales team wants prospects from people commenting on a competitor's posts. The playbook harvests reactions and comments from shortlisted posts, drops the competitor's own staff, filters by ICP, and outputs one prospect row per surviving engager with evidence URLs. ## Quick Start Ask the assistant to harvest engagers from a specific competitor's LinkedIn posts, filter them against your ICP, and output one prospect row per surviving engager.
