personalization-6-buckets

📁 sachacoldiq/coldiq-s-gtm-skills 📅 Feb 2, 2026
8
总安装量
8
周安装量
#34819
全站排名
安装命令
npx skills add https://github.com/sachacoldiq/coldiq-s-gtm-skills --skill personalization-6-buckets

Agent 安装分布

opencode 8
gemini-cli 7
claude-code 7
github-copilot 7
codex 7
kimi-cli 7

Skill 文档

6 Buckets of Personalization

Bucket 1: Self-Authored Content (Highest Value)

Content the prospect has created themselves:

  1. Speaking Engagements – Conferences, podcasts
  2. Webinars – Hosted or participated
  3. Articles – Blog posts, publications
  4. Posts – LinkedIn, Twitter content

Usage: Highest value personalization. Reference their thought leadership directly.


Bucket 2: Engaged Content

Content the prospect has interacted with:

  1. Commented On – Their comments on posts
  2. Shared – Content they’ve shared
  3. Liked Comments – Comments they’ve liked
  4. Liked Posts – Posts they’ve liked

Usage: Shows what topics interest them. Reference shared interests.


Bucket 3: Self-Identified Traits

How the prospect describes themselves:

  1. Profile Line (“About me” Section) – Bio content
  2. Company Line (Role, Specialization & Achievements) – Role description
  3. Headline (Below Profile Picture) – LinkedIn headline

Usage: Use their own words to frame relevance.


Bucket 4: Junk Drawer

Personal details from their profile:

  1. Personal Interests – Hobbies, activities
  2. Volunteer Experience: Personal (Charity) – Causes they support
  3. Languages Spoken – Multilingual abilities
  4. Schools Attended – Education background
  5. Interested In/Following – Topics they follow

Usage: Build rapport but don’t overdo it. Use sparingly.


Bucket 5: Background Centric

Professional history and credentials:

  1. Tenure at Company – How long they’ve been there
  2. Professional Trajectory – Career movement
  3. Recommendations Given – Who they recommend
  4. Recommendations Received – Social proof
  5. Boards They’re On – Board positions
  6. Volunteer Experience: Professional (Mentorship) – Industry involvement
  7. Awards Received – Recognition
  8. Certifications – Professional credentials
  9. Mutual Connections – Shared network
  10. Skill Endorsements – Endorsed abilities

Usage: Reference career achievements and professional credibility.


Bucket 6: Company Level

Company-wide information:

  1. Company Website Language – Messaging and positioning
  2. Company Post – Recent social content
  3. Company Blog Entry – Blog content
  4. Company News Mentions – Press coverage
  5. Company IPO – Public offering
  6. Company Funding – Investment rounds
  7. Company Financial Reports – Public financials
  8. M&A: Acquired/Were Acquired/Merged – M&A activity
  9. Company Growth – Growth trajectory
  10. Hiring / Made a “Key Hire” – Team changes
  11. Moved Headquarters / Opened New Locations – Expansion
  12. New Product/Feature/Integration Release – Product updates
  13. Impactful Marketing Moves – Marketing activities
  14. Company Competitors / Competitor Moves – Competitive landscape
  15. Negative/Positive Outputs/Midputs/Inputs – Business problems

Usage: Trigger-based personalization at scale.


5 Types of Core-Static Relevance (Fallback)

When personalization isn’t possible:

  1. Demographic: Buyer Persona
  2. Firmographic: Company Segment
  3. Firmographic: Company Industry Vertical
  4. Firmographic: Company Market Geos
  5. Technographic: Tech Stack

Combines with

Skill Why
personalization-hooks Turn bucket data into hooks
ai-personalization-prompts Automate bucket research
personalization-playbooks Choose personalization level
cold-email-4-sequence Apply buckets to sequence

Example prompts

Research Bucket 1 (Self-Authored Content) for this prospect: [LinkedIn URL]
Which bucket should I prioritize for a quick 50-prospect campaign?
Create a strong hook using Bucket 6 (Company Level) data about their funding.