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 a LinkedIn profile URL column. Name columns are optional but recommended:- First Name: Prospect’s first name
- Last Name: Prospect’s last name
- LinkedIn URL: Complete LinkedIn profile URL
Custom Data
To pass per-prospect context into outreach prompts, add one column named Custom Data or a similar label such as Custom Context or Customer Score Data. Kakiyo saves that column on the prospect’s conversation and exposes it in prompts as:- Buying intent signals
- Relevant prospect notes
- Industry-specific data points
- Company research findings
Important: Only the detected custom data column is saved as conversation context. Other CSV columns are not automatically passed into prompts unless they are imported as custom data.
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 Key Advantages:- Current data: Real-time information, never outdated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.