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    Faire Lead Ops: CSV Discovery and Outreach System Setup

    Codex thread that consolidated scattered Faire lead and customer exports, separated existing customers from a 50-contact outreach queue, and created a private lead-ops repo with Context Layer docs and campaign tracking.

    Source

    Provider
    codex
    Captured
    5/13/2026, 3:11:22 PM

    Highlights

    • Found and consolidated scattered lead and customer CSV exports into one reproducible cross-reference workflow.
    • Separated existing customer/order records from contactable outreach candidates and reduced the public-facing summary to aggregate counts only.
    • Shifted enrichment from generic product-fit recommendations to institution-specific merchandising-fit review.
    • Created a private lead-ops repo with Context Layer docs, lead tracking, contact events, campaign batches, and review dashboards.

    Source conversation

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    Actions and follow-ups

    Actions Taken

    • Located candidate Faire customer/lead CSV sources and compared them against the May 2026 Faire customer export.
    • Generated a consolidated cross-reference, a 50-contact queue, an enriched contact file, and a merchandising-fit enrichment file for private use.
    • Set up the private lead-ops repository with source data, working CSVs, lead documentation, dashboards, and a project setup record.
    • Pushed the private repository after the initial lead-ops scaffold and docs refresh commits.

    Actions Outstanding

    • Review the private lead dashboard before choosing the first campaign batch.
    • Continue enrichment and outreach logging inside the private lead-ops repo, not in public Hyphenomenon chat metadata.
    • If this becomes a public-safe Hyphenomenon project later, intake it as its own project rather than attaching it to an adjacent ecommerce project by implication.

    Tags

    domain:entrepreneurdomain:buildertopic:fairetopic:lead-opstopic:outreachtopic:commerce-operationstopic:context-layerprivacy:aggregate-onlyentity_type:ai_context

    Decisions

    • Keep individual lead and customer records private; only aggregate counts and workflow shape are publishable.
    • Treat institution-specific merchandising fit as the useful enrichment layer, not generic channel-level product matching.
    • Use Context Layer for repo governance while keeping individual lead tracking in dedicated lead-ops data files.
    • Track outreach through contact events and campaign batches rather than one-off ad hoc CSV edits.