Cold Outreach
Import prospect lists and send AI-personalized cold emails
Overview
Cold Outreach lets you import prospect lists from any source and send hyper-personalized cold emails. Unlike warm customer outreach, cold outreach targets new prospects who haven't purchased from you yet.
Plan Required
Cold email features require a Growth or Lifetime plan. Free tier users can import contacts but cannot send emails.
Import Sources
Import prospect lists from various sources:
| Source | Data Available |
|---|---|
| TrustMRR | Revenue, growth rate, product description |
| ProductHunt | Product info, launch data, categories |
| LinkedIn Sales Navigator | Company size, industry, job titles |
| Custom Scrapers | Any structured data you collect |
| Manual CSV | Basic contact information |
Enhanced Import
Smart Field Mapping
The import wizard automatically detects common column names:
| Field Type | Recognized Names |
|---|---|
email, e-mail, contact_email, contact_emails | |
| Name | name, full_name, founder_name, contact_name |
| Website | website, url, domain, company_url |
| Revenue | revenue, mrr, monthly_revenue, arr |
| Description | description, about, bio, summary |
| Tags | tags, categories, industry, sector |
Metadata Storage
Rich metadata is stored with each contact and used by AI:
Product Name: TrustMRR
Description: Revenue analytics for bootstrapped SaaS
Revenue: $8,500/month
Growth: +15%
Tags: Analytics, SaaS, B2B
Source: trustmrr.com/listing/123Import Options
| Option | Description |
|---|---|
| Deduplicate by Email | Remove contacts with duplicate emails |
| Deduplicate by Product | Remove contacts from the same product |
| Filter Invalid Emails | Remove service emails (Sentry, Slack, etc.) |
| Best Email Selection | When multiple emails exist, pick the best one |
Email Selection Logic
When a CSV contains multiple emails per row, the system:
- Validates all emails - Removes malformed addresses
- Filters service emails - Removes monitoring/webhook addresses
- Scores remaining emails - Prioritizes business emails
- Selects the best - Uses the highest-scored email
Email Scoring
| Email Type | Score | Example |
|---|---|---|
| Founder/CEO | Highest | john@company.com |
| Generic business | High | hello@company.com |
| Support | Medium | support@company.com |
| Personal domains | Lower | john@gmail.com |
Filtered Email Patterns
These email patterns are automatically filtered:
- Sentry DSN emails (
*@*.sentry.io) - Slack webhooks (
*@slack.com) - Service accounts (long hex strings)
- Monitoring addresses
AI-Powered Personalization
Using Enrichment Data
When metadata is available, AI leverages it for better emails:
| Data | How AI Uses It |
|---|---|
| Revenue | Congratulates on milestones, adjusts offer sizing |
| Growth Rate | References momentum, suggests scaling solutions |
| Description | Identifies product fit, references specific features |
| Industry/Tags | Uses relevant terminology, mentions competitors |
| Source URL | Can reference where you found them |
Faster Analysis
When rich metadata exists, AI can skip web research:
- With metadata: Analysis completes in ~5 seconds
- Without metadata: Analysis takes ~15-30 seconds (web research)
Importing from sources like TrustMRR with complete data significantly speeds up the analysis process.
Cold Email Workflow
1. Import Contacts
- Go to Cold Emails section
- Click Import CSV
- Upload your prospect list
- Review field mapping and options
- Confirm import
2. Analyze Contacts
- Select contacts to analyze
- Click Analyze Selected
- AI generates:
- Company research
- Outreach hook
- Personalized email draft
3. Review and Send
- Review generated emails
- Edit if needed
- Send individually or in batch
Best Practices
Quality Over Quantity
Import targeted prospects rather than large untargeted lists. Higher-quality data leads to better AI personalization.
Enrich Your Data
The more metadata you provide, the better AI can personalize. Revenue and description are especially valuable.
Filter Before Import
Clean your CSV before importing. Remove obviously irrelevant contacts to save credits.
Review AI Output
Always review generated emails. AI uses your data but may need adjustments for specific situations.
Comparison: Cold vs Warm Outreach
| Aspect | Cold Outreach | Warm Outreach |
|---|---|---|
| Target | New prospects | Existing customers |
| Data Source | CSV import | Stripe integration |
| Personalization | Metadata-based | Payment history-based |
| Response Rate | 5-15% typical | 20-40% typical |
| Use Case | Lead generation | Expansion revenue |