Session objective

Sam clarified that the work should benefit the firm, not be a fun audience experiment. The goal was to make marketing more granular across Google Ads, Meta, GA4, and related reporting while avoiding risky or low-value audience uploads.

What was accomplished

• Added scripts/export-marketing-activation-dry-run.mjs in the canonical Litify project.
• Added scripts/export-marketing-activation-dry-run.test.mjs with unit coverage for identifier hashing, signed-retainer priority, Meta payload hashing, GA4 hold behavior, cohort output, and state normalization.
• Added docs/marketing-activation-dry-run-2026-06-03.md as the handoff and runbook.
• Ran a live Salesforce dry run against LITIFY_ORG for the last 730 days.
• Created dry-run outputs under output/marketing-activation-dry-run/2026-06-03T15-49-51-387Z/.

Live dry-run results

• Raw Salesforce Intake rows reviewed: 11,079.
• Signed retainers: 2,034.
• Converted intakes: 683.
• Analysis-only rows: 8,362.
• Google Ads conversion candidates: 2,669.
• Meta CAPI event candidates: 2,669.
• GA4 held candidates: 2,717.
• Cohort rows: 875.
• Match-key coverage: 555 GCLID, 9,323 email hashes, 10,910 phone hashes, 8,923 ZIPs.

Output files

• google-ads-click-conversions-dry-run.json