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{ "item_title" : "Metadata for Stock Footage Expert Mode", "item_author" : [" Gianfranco Grenar "], "item_description" : "You already know the basics. You've submitted clips, filled in keyword fields, wrestled with titles. This course is for what comes next. Metadata for Stock Footage: Expert Mode is a field manual for stock footage contributors who want to stop guessing and build a system that actually converts - one that survives platform updates, algorithm shifts, and the growing pressure of AI-assisted competition. What you'll find inside: The W5MEC method - an 8-lens framework (Who, What, When, Where, Why, Movements, Emotions, Colors) that turns every clip into a precision-targeted commercial assetHow to think like a buyer, not a creator - and why that shift changes everything about the keywords you writePlatform-by-platform specs for Adobe Stock, Shutterstock, Pond5, Getty/iStock, Alamy, and more - with the hidden traps each one won't tell you aboutThe Sacred Scrolls system: how to build and maintain a metadata archive that protects your work and scales with your portfolio5 detailed case studies and 2 anti-case studies showing real metadata built from scratch, with full reasoningHow to use AI tools (Claude, ChatGPT) as metadata assistants - with a working prompt built around W5MECThe four most common metadata sins, why they're so persistent, and exactly how to fix themThis is not a beginner's guide. There are no top 10 keyword tips and no platform screenshots explaining where to click. This is the thinking behind good metadata - the mental framework that works regardless of which algorithm update lands next. Written by Gianfranco Grenar, stock footage contributor with 16,000+ clips across major marketplaces and 15+ years of hands-on curation experience. Learn the principles. Adapt to anything.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/825/576/9798255760503_b.jpg", "price_data" : { "retail_price" : "19.99", "online_price" : "19.99", "our_price" : "19.99", "club_price" : "19.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Metadata for Stock Footage Expert Mode|Gianfranco Grenar

Metadata for Stock Footage Expert Mode

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Overview

You already know the basics. You've submitted clips, filled in keyword fields, wrestled with titles. This course is for what comes next. Metadata for Stock Footage: Expert Mode is a field manual for stock footage contributors who want to stop guessing and build a system that actually converts - one that survives platform updates, algorithm shifts, and the growing pressure of AI-assisted competition. What you'll find inside:

  • The W5MEC method - an 8-lens framework (Who, What, When, Where, Why, Movements, Emotions, Colors) that turns every clip into a precision-targeted commercial asset
  • How to think like a buyer, not a creator - and why that shift changes everything about the keywords you write
  • Platform-by-platform specs for Adobe Stock, Shutterstock, Pond5, Getty/iStock, Alamy, and more - with the hidden traps each one won't tell you about
  • The Sacred Scrolls system: how to build and maintain a metadata archive that protects your work and scales with your portfolio
  • 5 detailed case studies and 2 anti-case studies showing real metadata built from scratch, with full reasoning
  • How to use AI tools (Claude, ChatGPT) as metadata assistants - with a working prompt built around W5MEC
  • The four most common metadata sins, why they're so persistent, and exactly how to fix them
This is not a beginner's guide. There are no "top 10 keyword tips" and no platform screenshots explaining where to click. This is the thinking behind good metadata - the mental framework that works regardless of which algorithm update lands next. Written by Gianfranco Grenar, stock footage contributor with 16,000+ clips across major marketplaces and 15+ years of hands-on curation experience. Learn the principles. Adapt to anything.

This item is Non-Returnable

Details

  • ISBN-13: 9798255760503
  • ISBN-10: 9798255760503
  • Publisher: Independently Published
  • Publish Date: April 2026
  • Dimensions: 11 x 8.5 x 0.17 inches
  • Shipping Weight: 0.47 pounds
  • Page Count: 82

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