personalization-6-buckets ยท diff
git:20260130.9b3c151 to git:20260130.4caa77f
25 added, 0 removed. Audit A to A.
---
name: personalization-6-buckets
description: Complete 6 Buckets of Personalization framework from Flip The Script - Self-Authored Content, Engaged Content, Self-Identified Traits, Junk Drawer, Background Centric, and Company Level. Use when researching prospects, choosing personalization angles, or building personalized outreach.
---
# 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.
+ ```
+