abm-outbound

# ABM Outbound Turn LinkedIn prospect lists into multi-channel outbound: email sequences, LinkedIn touches, and handwritten letters. ## Prerequisites | Service | Purpose | Sign Up | |---------|---------|---------| | **Apify** | LinkedIn scraping, Skip Trace | [apify.com](https://apify.com) | | **Apollo** | Email & phone enrichment | [apollo.io](https://apollo.io) | | **Scribeless** | Handwritten letters | [platform.scribeless.co](https://platform.scribeless.co) | | **Instantly** *(optional)* | Dedicated cold email | [instantly.ai](https://instantly.ai) | ```bash export APIFY_API_KEY="your_key" export APOLLO_API_KEY="your_key" export SCRIBELESS_API_KEY="your_key" ``` ## Pipeline ``` ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ 1. INPUT │───▶│ 2. SCRAPE │───▶│ 3. ENRICH │───▶│ 4. ADDRESS │───▶│ 5. OUTREACH │ │ LinkedIn │ │ Profiles │ │ Email/Phone │ │ Skip Trace │ │ │ │ URLs │ │ │ │ │ │ │ │ │ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘ Your list Apify Apollo Apify PFI Email + LinkedIn + Scribeless ``` ## Step 1: Gather LinkedIn URLs Provide a list of LinkedIn profile URLs from: - LinkedIn Sales Navigator exports - LinkedIn search scrapers - CRM exports - Manual prospecting ```csv linkedin_url https://linkedin.com/in/johndoe https://linkedin.com/in/janesmith ``` ## Step 2: Scrape LinkedIn Profiles ```bash curl -X POST "https://api.apify.com/v2/acts/harvestapi~linkedin-profile-scraper/run-sync-get-dataset-items" \ -H "Authorization: Bearer $APIFY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "profileUrls": [ "https://linkedin.com/in/johndoe", "https://linkedin.com/in/janesmith" ] }' ``` **Returns:** First name, last name, company, title, location. ## Step 3: Enrich with Apollo (Email & Phone) ```bash curl -X POST "https://api.apollo.io/api/v1/people/bulk_match" \ -H "X-Api-Key: $APOLLO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "reveal_personal_emails": true, "reveal_phone_number": true, "details": [{ "first_name": "John", "last_name": "Doe", "organization_name": "Acme Corp", "linkedin_url": "https://linkedin.com/in/johndoe" }] }' ``` **Returns:** Work email, phone numbers. ## Step 4: Get Mailing Address (Skip Trace) ```bash curl -X POST "https://api.apify.com/v2/acts/one-api~skip-trace/run-sync-get-dataset-items" \ -H "Authorization: Bearer $APIFY_API_KEY" \ -H "Content-Type: application/json" \ -d '{"name": ["John Doe"]}' ``` **Returns:** Street address, city, state, postal code. **Important:** Verify Skip Trace state matches LinkedIn location. ## Step 5: Multi-Channel Outreach ### 5a: Email Sequence **Option 1: Apollo Sequences (Recommended)** ```bash curl -X POST "https://api.apollo.io/api/v1/emailer_campaigns/add_contact_ids" \ -H "X-Api-Key: $APOLLO_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "emailer_campaign_id": "YOUR_SEQUENCE_ID", "contact_ids": ["CONTACT_ID_1", "CONTACT_ID_2"], "send_email_from_email_account_id": "YOUR_EMAIL_ACCOUNT_ID" }' ``` **Option 2: Instantly.ai** ```bash curl -X POST "https://api.instantly.ai/api/v1/lead/add" \ -H "Authorization: Bearer $INSTANTLY_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "campaign_id": "YOUR_CAMPAIGN_ID", "email": "john@acme.com", "first_name": "John", "last_name": "Doe", "company_name": "Acme Corp", "personalization": "Saw Acme just expanded to UK" }' ``` **Option 3: CSV Upload** ```csv email,first_name,last_name,company,title,phone,personalization john@acme.com,John,Doe,Acme Corp,VP Marketing,555-1234,Saw Acme just expanded to UK ``` ### 5b: LinkedIn Sequence - Day 1: View profile - Day 2: Connection request with personalized note - Day 4: Follow-up message if connected - Day 7: Engage with their content ### 5c: Handwritten Letter (Scribeless) Create campaign at [platform.scribeless.co](https://platform.scribeless.co), then add recipients: ```bash curl -X POST "https://platform.scribeless.co/api/recipients" \ -H "X-API-Key: $SCRIBELESS_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "campaignId": "YOUR_CAMPAIGN_ID", "data": { "firstName": "John", "lastName": "Doe", "company": "Acme Corp", "address": { "address1": "123 Main St", "city": "San Francisco", "state": "CA", "postalCode": "94102", "country": "US" }, "variables": { "custom1": "Saw Acme just expanded to the UK — congrats!" } } }' ``` See [references/scribeless-api.md](references/scribeless-api.md) for full API details. ## Coordinated Timing | Day | Email | LinkedIn | Letter | |-----|-------|----------|--------| | 1 | — | View profile | Letter sent | | 3 | — | Connection request | — | | 5 | "Got my note?" | — | Letter arrives | | 7 | Value email | Message if connected | — | | 10 | Case study | — | — | | 14 | Break-up | Engage content | — | **The play:** Letter lands → Email references it → LinkedIn reinforces. ## Complete Workflow ```python # 1. Start with LinkedIn URLs linkedin_urls = load_csv("prospects.csv") # 2. Scrape profiles profiles = apify_linkedin_scrape(linkedin_urls) # 3. Enrich with Apollo for profile in profiles: enriched = apollo_bulk_match(profile) profile['email'] = enriched['email'] profile['phone'] = enriched['phone'] # 4. Get mailing addresses for profile in profiles: address = skip_trace(profile['name']) if address['state'] == profile['linkedin_state']: profile['address'] = address profile['mailable'] = True # 5. Push to channels push_to_email_tool(profiles) push_to_scribeless(profiles, campaign_id) export_for_linkedin(profiles) ``` ## Output Format ```csv first_name,last_name,email,phone,company,title,address1,city,state,postal,country,linkedin,mailable John,Doe,john@acme.com,555-1234,Acme Corp,VP Marketing,123 Main St,San Francisco,CA,94102,US,linkedin.com/in/johndoe,TRUE ``` ## Best Practices 1. **Verify addresses** — Skip Trace state should match LinkedIn location 2. **Personalize everything** — Company news, job changes, shared connections 3. **Coordinate timing** — Letter lands before "did you get my note?" email 4. **Start small** — Test with 20-50 prospects before scaling 5. **Track by channel** — Know which channel drives replies