An r/coldemail post: first-time campaign for a hyper-niched local SEO/AEO agency. This walks the recipe for vertical-specific outbound.
Prerequisites
- Vertical chosen
- Sender platform at entry tier
- Scavio API key
- Vertical opener bank
Walkthrough
Step 1: Pick the vertical
Specific enough that one opener template per sub-niche works.
// Vertical: 'small-team B2B SaaS, $1M-$10M ARR, post-Series-A'.Step 2: Build the list
Apollo / Instantly lead-gen / scraped + verified.
// Filter: industry='SaaS' AND headcount=10-50 AND funding_stage='Series A'.Step 3: Per prospect: Scavio research
Site latest news + AI Overview + Reddit signal.
// scavio.search('site:prospect-domain.com 2026'); scavio.search('{name} 2026', include_ai_overview=True); scavio.search('reddit r/SaaS {name}')Step 4: LLM-generated opener referencing one specific detail
1-2 sentences.
// LLM: 'Given research [...], write 1 opener line referencing one specific recent detail.'Step 5: Vertical-specific opener bank as fallback
When research is thin.
// Bank: 'For Series-A B2B SaaS teams scaling outbound, [...]'Step 6: Send sequence: 1 opener + 2 follow-ups
Daily cap 30/sender.
// Smartlead/Instantly sequence with daily cap.Step 7: Measure quality not volume
First 200 sends → reply rate, reply quality.
// Quality > volume in niche outbound.Python Example
# Per prospect: ~$0.01-0.02 in research.JavaScript Example
// Same shape in Node.Expected Output
Disciplined vertical cold email program with hyper-niched openers and quality-first measurement.