personalization-6-buckets
Skill8 starsChanged 4 months agoMITView on GitHub
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.
2 other projects use a version of this, 2 of them edited.
Adopted by
Most recently taken up by
- Cold-IQ/ColdIQ-s-GTM-Skillsedited, first seen Nov 8, 2026
- sachacoldiq/ColdIQ-s-GTM-Skillsedited, first seen Oct 9, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 2
- Cold-IQ/ColdIQ-s-GTM-Skills★ 31671% same
- sachacoldiq/ColdIQ-s-GTM-Skills★ 31671% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository32 other files it gives its agents.
- ai-personalization-promptsSkill
- atl-btl-messagingSkill
- bridgebound-firmographic-15Skill
- bridgebound-history-16Skill
- bridgebound-in-market-20Skill
- bridgebound-relationship-39Skill
- bridgebound-symptoms-11Skill
- buying-signals-6Skill
- clay-buying-signals-5Skill
- clay-enrichment-9stepSkill
- cold-call-scriptsSkill
- cold-email-4-sequenceSkill
- cold-email-templates-34Skill
- email-1-variations-7Skill
- email-metrics-benchmarksSkill
- email-writing-frameworksSkill
- frontal-messaging-templatesSkill
- gtm-philosophySkill
- gtm-plays-11Skill
- inbound-triggers-30Skill
- josh-braun-copywritingSkill
- lead-sources-guideSkill
- linkedin-campaign-completeSkill
- linkedin-limits-warmupSkill
- linkedin-success-factorsSkill
- list-building-tipsSkill
- outbound-triggers-6Skill
- outreach-4-categoriesSkill
- personalization-hooksSkill
- personalization-playbooksSkill
- sdr-master-promptsSkill
- sdr-outbound-rulesSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 42
Usage: Use their own words to frame relevance.
- Distinctive: line 105
When personalization isn't possible:
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
6 Buckets of Personalization
Bucket 1: Self-Authored Content (Highest Value)
Content the prospect has created themselves:
- Speaking Engagements - Conferences, podcasts
- Webinars - Hosted or participated
- Articles - Blog posts, publications
- Posts - LinkedIn, Twitter content
Usage: Highest value personalization. Reference their thought leadership directly.
Bucket 2: Engaged Content
Content the prospect has interacted with:
- Commented On - Their comments on posts
- Shared - Content they've shared
- Liked Comments - Comments they've liked
- 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:
- Profile Line ("About me" Section) - Bio content
- Company Line (Role, Specialization & Achievements) - Role description
- Headline (Below Profile Picture) - LinkedIn headline
Usage: Use their own words to frame relevance.
Bucket 4: Junk Drawer
Personal details from their profile:
- Personal Interests - Hobbies, activities
- Volunteer Experience: Personal (Charity) - Causes they support
- Languages Spoken - Multilingual abilities
- Schools Attended - Education background
- Interested In/Following - Topics they follow
Usage: Build rapport but don't overdo it. Use sparingly.
Bucket 5: Background Centric
Professional history and credentials:
- Tenure at Company - How long they've been there
- Professional Trajectory - Career movement
- Recommendations Given - Who they recommend
- Recommendations Received - Social proof
- Boards They're On - Board positions
- Volunteer Experience: Professional (Mentorship) - Industry involvement
- Awards Received - Recognition
- Certifications - Professional credentials
- Mutual Connections - Shared network
- Skill Endorsements - Endorsed abilities
Usage: Reference career achievements and professional credibility.
Bucket 6: Company Level
Company-wide information:
- Company Website Language - Messaging and positioning
- Company Post - Recent social content
- Company Blog Entry - Blog content
- Company News Mentions - Press coverage
- Company IPO - Public offering
- Company Funding - Investment rounds
- Company Financial Reports - Public financials
- M&A: Acquired/Were Acquired/Merged - M&A activity
- Company Growth - Growth trajectory
- Hiring / Made a "Key Hire" - Team changes
- Moved Headquarters / Opened New Locations - Expansion
- New Product/Feature/Integration Release - Product updates
- Impactful Marketing Moves - Marketing activities
- Company Competitors / Competitor Moves - Competitive landscape
- 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:
- Demographic: Buyer Persona
- Firmographic: Company Segment
- Firmographic: Company Industry Vertical
- Firmographic: Company Market Geos
- 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.Part of Frontal — free, open GTM skills for your AI agent. Browse the library →
Does it work?
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