To get the most out of Hunting Alice, you need to think less like a keyword scraper and more like a hunter. The quality of your "Alice" (Ideal Customer Profile) definition directly impacts the quality of the leads our AI finds.
The Art of "Signal" Engineering
A Signal is the specific topic, problem, or question that indicates buying intent. Low-quality signals generate noise; high-quality signals generate revenue.
❌ Bad Signals (Too Broad)
"Marketing"
"Software"
"Need help"
Result: You will be flooded with students, job seekers, and irrelevant discussions.
✅ Good Signals (Specific Intent)
"Looking for B2B marketing agency"
"Best alternatives to Salesforce"
"How to automate invoice processing"
Result: You find decision-makers actively comparing solutions.
Playbook: The "Problem-First" Approach
Instead of searching for who they are, search for what they suffer from.
1
Identify the Pain Point
What keeps your customer up at night?
Example: "Compliance audit deadline"
2
Identify the Trigger Event
What happens right before they buy?
Example: "Posting a job for 'Head of Compliance', complaining about 'manual spreadsheets'."
3
Craft the Signal
Examples:
"Manual SOC2 audit pain"
"Automating compliance workflows"
"Hiring VP of Security"
Industry-Specific Examples
For SaaS Sales
Signal: "Competitor pricing too high"
Signal: "Migrating away from [Competitor Name]"
Signal: "API integration issues with [Category Software]"
For Agencies
Signal: "Recommendations for SEO audit"
Signal: "App developer needed urgent"
Signal: "Budget for website redesign"
For Logistics
Signal: "Shipping delays China to US"
Signal: "3PL provider recommendations"
Signal: "Freight forwarder reliable"
Optimizing Your Reach
Iterate: If your agent returns too much noise, make your keywords more specific (longer phrases).
Monitor: Check your leads daily. If you see a pattern of irrelevant results (e.g., people selling to you instead of buying from you), add those keywords to your Negative Keywords list in the agent settings.
