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AI Case Study: AI-Driven Video Ad Editing & Automation with Adobe Sensei

AI Case Study AI-Driven Video Ad Editing & Automation with Adobe Sensei

AI Case Study: AI-Driven Video Ad Editing & Automation with Adobe Sensei

Adobe Sensei is revolutionizing video ad production by leveraging AI-powered video editing and machine learning to automate and optimize creative workflows.

By enabling automated scene detection, content curation, and dynamic enhancements, Adobe Sensei streamlines video ad creation for businesses, allowing them to scale production efficiently while maintaining high-quality visuals.

Read Top 10 Real-Life Use Cases For AI In Video Advertising.


Background

Traditional video ad editing requires extensive manual effort, from scene selection and transitions to color grading and effects. This process is often time-consuming and resource-intensive, limiting the ability to scale ad campaigns quickly. Adobe Sensei integrates AI-driven automation to:

  • Detect key scenes and optimize ad storytelling.
  • Automate color correction, transitions, and effects to improve visual appeal.
  • Reduce manual labor, enabling faster turnaround times for video ads.

Using machine learning and predictive analytics, Adobe Sensei enhances creative efficiency, ensuring video ads maintain a high standard while being produced at scale.


How Adobe Sensei Uses AI for Video Ad Editing & Automation

1. Automating Video Editing & Scene Detection

๐Ÿ“Œ How It Works:

  • AI scans raw footage to detect the most engaging moments within a video.
  • To determine scene relevance, machine learning algorithms analyze motion, expressions, andย viewer attention patterns.
  • Editors receive AI-generated video drafts with pre-selected key moments, allowing quick adjustments and approval.

๐Ÿ”น Example: A digital marketing agency using Adobe Sensei reduced their video ad production time by 40%, as AI automatically selected high-impact clips for their campaigns.


2. Enhancing Ad Creatives with Smart Effects & Transitions

๐Ÿ“Œ How It Works:

  • AI analyzes video context and applies suitable transitions, effects, and filters.
  • Smart color grading ensures brand consistency across different ad variations.
  • AI-driven motion tracking and object recognition enhance text overlays, animations, and branding elements.

๐Ÿ”น Example: A fashion retailer improved ad performance by 30% when Adobe Sensei automatically enhanced product videos with smoother transitions and vibrant color correction.

Read an AI case study on how SnapChat uses AI in video advertising.


3. Speeding Up Production for Scalable Campaigns

๐Ÿ“Œ How It Works:

  • AI generates multiple ad variations from a single video to suit different platforms and formats (e.g., Instagram Stories, YouTube, and TikTok ads).
  • Automated resizing and cropping ensure content is optimized for each platform without requiring manual edits.
  • Predictive analytics suggest improvements based on historical performance and engagement data.

๐Ÿ”น Example: A global brand used Adobe Sensei to scale their video ads across five platforms in multiple aspect ratios, cutting editing time by 60% while improving engagement rates.

Read an AI case study on how Amazon uses AI in video advertising.


Benefits of AI-Driven Video Ad Editing with Adobe Sensei

โœ… Faster Video Production โ€“ AI automates key editing tasks, reducing turnaround time.
โœ… Higher Ad Engagement โ€“ Optimized transitions, effects, and colors make ads visually appealing.
โœ… Efficient Content Repurposing โ€“ AI creates ad variations tailored for different platforms.
โœ… Cost Savings โ€“ Reduces the need for extensive manual editing, lowering production costs.
โœ… Consistent Brand Identity โ€“ AI applies uniform color grading and branding elements across all video assets.


The Impact of AI on Adobe Senseiโ€™s Video Advertising Strategy

By implementing AI-powered video ad automation, Adobe Sensei has significantly improved creative workflows:

  • 50% faster video ad creation by automating editing tasks.
  • 35% increase in ad performance due to optimized visual effects and branding.
  • 40% cost reduction in post-production expenses for brands using AI-driven editing.
  • Scalability across multiple ad platforms, ensuring wider audience reach with minimal effort.

Conclusion

Adobe Senseiโ€™s AI-driven video ad editing and automation empowers marketers and businesses by delivering faster, smarter, and more engaging video ads.

With automated scene detection, content curation, and creative enhancements, Adobe Sensei streamlines video production at scale, enabling brands to create high-quality, visually compelling ads with unmatched efficiency.

As AI technology advances, automated video ad editing will continue to redefine digital marketing strategies, making creative production more accessible and impactful.

Author
  • Fredrik Filipsson has 20 years of experience in Oracle license management, including nine years working at Oracle and 11 years as a consultant, assisting major global clients with complex Oracle licensing issues. Before his work in Oracle licensing, he gained valuable expertise in IBM, SAP, and Salesforce licensing through his time at IBM. In addition, Fredrik has played a leading role in AI initiatives and is a successful entrepreneur, co-founding Redress Compliance and several other companies.

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