The End of "Spray and Pray": Precision Targeting with AI
For a long time, the cost of sending an email was effectively zero. So people sent millions. But the cost of attention is high. Prospects are tired. Spam filters are aggressive.
The Quality > Quantity Shift
If you send 1,000 emails and get a 0.1% reply rate, you got 1 meeting. You also burned 999 bridges. If you send 100 emails and get a 5% reply rate, you got 5 meetings. And you only annoyed 95 people.
How to execute Precision
- Strict Filters: Don't just act on "Job Title". Filter by "Time in Role", "Location", "Company Growth".
- Hyper-Personalization: Don't just swap the {{FirstName}}. Reference a specific observation.
- Timing: Reach out when something changes.
The AI's Role
Humans are bad at disciplined filtering. We get lazy and just "add all to sequence". AI is disciplined. You can tell it: "Only message VP's who have posted about AI in the last 30 days." It will scan 10,000 profiles and find the 42 people who match.
Conclusion
Small lists. Big relevance. Huge results.