Managing prospects in Kakiyo involves importing target audiences and enriching their data for better personalization. You can add prospects through CSV uploads or real-time discovery with AI Lead Finder.
CSV Import
Required Fields
Every CSV must include these three fields:
First Name: Prospect's first name
Last Name: Prospect's last name
LinkedIn URL: Complete LinkedIn profile URL
Additional Data Fields
Add any extra columns to enhance personalization:
Buying Intent Signals:
Hiring activity
Technology usage
Recent company changes
Behavioral indicators
Custom Data:
Any relevant prospect information
Industry-specific data points
Company research findings
Important: Additional fields are provided to the AI as context for conversations, leading to significantly better personalization and higher response rates.
AI Lead Finder
How It Works
Real-time prospect discovery that searches LinkedIn and the internet for fresh, qualified leads.
Key Advantages:
Current data: Real-time information, never outdated
Quality filtering: Only active, current prospects
Buying signals: Identifies prospects showing purchase intent
Search Process
Define criteria: Job titles, industries, company sizes, locations
Set filters: Advanced targeting parameters
Real-time search: AI searches LinkedIn and web sources
Quality validation: Filters prospects against your criteria
List generation: Delivers qualified prospect list
Lead Credits System
Important: Lead credits are independent from conversation credits.
Pricing Structure:
100 leads: $30
250 leads: $65
500 leads: $115
1,000 leads: $200
Credit usage: Only charged for successfully qualified prospects that meet your criteria.
Data Enrichment
Automatic Enrichment
LinkedIn scraping: Extracts all available profile information
Company data: Gathers relevant company details
Activity monitoring: Tracks recent prospect activity
Enhanced Personalization
The AI uses all available data to create highly personalized conversations:
Role-specific messaging: Tailored to job titles and responsibilities
Company context: References company size, industry, recent news
Personal details: Uses profile information for natural conversation
Intent signals: Incorporates buying intent data when available
Best Practices
Data Quality
Accurate URLs: Ensure LinkedIn URLs have the right format and are valid
Current information: Use recent, up-to-date prospect data
Relevant details: Include information that aids personalization
Clean formatting: Properly formatted CSV files
Important: the right format for the LinkedIn URLs is the following
Example: https://www.linkedin.com/in/ilanasseo/
Strategic Targeting
Focused lists: Target specific, well-defined audience segments
Quality over quantity: Precise ICP yield better results
Regular updates: Refresh prospect lists periodically
Segment testing: Test different audience segments separately (in different campaigns)
Lead Management
Monitor progression: Track prospects through the conversion funnel
Intervention timing: Know when to take manual control (if needed)
Performance analysis: Evaluate which ICP perform best
List optimization: Refine targeting based on results
Effective prospect management combines quality data with strategic targeting to maximize conversation success and conversion rates.