deal-patterns
CommunityTurn deal data into winning patterns.
Marketing & Sales#sales-analytics#deal-patterns#win-analysis#loss-analysis#pipeline-forecasting#icp-refinement#outbound-messaging
Authorkenny589
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Analyze closed-won and closed-lost deals to identify patterns that predict revenue and surface what distinguishes winning deals from failing ones, enabling systematic replication of wins and reduction of losses.
Core Features & Use Cases
- Win/Loss Pattern Analyses: compare deals to surface predictors of close success and failure.
- Multi-Variable Insight: analyze 12 variables (deal size, sales cycle length, source channel, trigger events, champion/economic buyer, etc.) to guide targeting and messaging.
- Actionable Outputs: generate an ideal deal profile, prioritise ICP segments, and inform outbound strategies for faster, higher-value closes.
Quick Start
Run a last-50-deals pattern analysis to extract the ideal deal profile and top win predictors.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: deal-patterns Download link: https://github.com/kenny589/gtm-flywheel/archive/main.zip#deal-patterns Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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