Michael
e1f364f010
Pick up and finish yesterday's cut-off Tier B pass. - build/: PyInstaller scaffold (datatools.spec + launcher.py + hook-streamlit.py + README) — folder-mode bundle, locked 127.0.0.1, per-OS recipe - marketing/COPY.md: single source of truth for every customer-facing string — landing H1/sub/CTAs, demo CTAs, email subjects, Gumroad listing, banned phrases - marketing/community-posts/: 9 drafts (3 posts × 3 niches: bookkeeper, revops, shopify-pet) — story / tip / soft-offer - marketing/emails/: 18 drafts (Gumroad delivery + 5-touch onboarding × 3 niches), per-niche segmentation guidance - docs/NEXT-STEPS.md: flip 2.2 / 2.4 / 3.1 / 3.4 to done with pointers to the new assets; add Phase 0 inventory rows - .gitignore: narrow `build/` ignore so PyInstaller spec + launcher + hooks get tracked, only generated artifacts (build/build/, build/__pycache__/, build/dist/) stay ignored Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
1.2 KiB
RevOps · Post 2 — Tip
Where to post: LinkedIn, RevGenius Slack #tips channel, RevOps Co-op, Modern Sales Pros.
Format: ~150 words. Tactical. One idea, one sentence-of-pitch at the bottom.
Title
The 30-second pre-import check that catches LinkedIn-scrape duplicates before they hit HubSpot
Body
Before you import a LinkedIn scrape (Apollo, Lusha, Cognism — same problem) into HubSpot:
Open the file. Sort by email. Look for blanks.
LinkedIn-sourced rows often have no email — just name + company + LinkedIn URL. If you import them as-is, HubSpot creates a new contact for each one. The next time someone fills your webform with the same name + company, HubSpot creates another new contact, because there's no key to match on.
Two-minute fix: before import, generate a synthetic dedupe key as lower(first_name)|lower(last_name)|domain(company_url). Sort by it. Anything with >1 row is a likely dupe — review and merge before HubSpot ever sees it.
If you're doing this monthly across multiple lead sources and want to automate it (plus phone normalization, fuzzy matching, the whole pipeline), I built a $49 desktop tool: datatools.app/revops. Local — your prospect list never goes to a server.
— {{your-name}}