Documentation Index
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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
- 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 Key Advantages:- Current data: Real-time information, never outdated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.Lead credit packs:
- 100 leads: 10 EUR
- 250 leads: 25 EUR
- 500 leads: 50 EUR
- 1,000 leads: 100 EUR
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.