AI Sales Playbook — Value-Based Pricing & Deal Upselling

Community

Turn $10K deals into $40-100K with value-based pricing.

Authorericosiu
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps sales teams stop pitching on cost and instead present value using competitive data, tiered packages, and post-call scoring so deals can move to higher-value commitments.

Core Features & Use Cases

  • Pre-call competitive briefing generation: Creates anchor data points, conversation hooks, and objection pre-empts based on prospect and competitor domains to support value-first positioning.
  • Tiered package and pricing proposals: Generates Powerhouse/Value/Baseline/Performance tiers with deliverables and ROI projections for services like SEO, CRO, content, and paid.
  • Post-call deal analysis and training support: Scores a call transcript against a value-based pricing framework, identifies objections/buying signals, suggests next steps, and surfaces upsell opportunities using a framework and pattern library.

Example use case: before a demo, generate a pre-call briefing for acme.com vs competitor sites, use the tiered packager to produce a proposal aligned to an ~$80K/month target, then score the call afterward to pinpoint where the framework execution needs improvement and what to upsell next.

Quick Start

Use this Skill to generate a pre-call briefing for acme.com against comp1.com and comp2.com with an $80,000/month deal target so you can open the call with competitive gaps, value math, and ready-to-use objection responses.

Dependency Matrix

Required Modules

requests

Components

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: AI Sales Playbook — Value-Based Pricing & Deal Upselling
Download link: https://github.com/ericosiu/ai-marketing-skills/archive/main.zip#ai-sales-playbook-value-based-pricing-deal-upselling

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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