Normalized claim
Quantified impact: 5 days
The workflow from planning to distribution now takes 5 days instead of months.
Dentsu Digital drives marketing workflow automation with Amazon Nova Foundation Models (via Amazon Bedrock)
Use case typeCustomer communication automationUpdated Jun 13, 2026
Dentsu Digital, a Japan-based digital marketing company, uses Amazon Nova Foundation Models through Amazon Bedrock in its integrated creative-production engine, Mugen AI. The solution supports ad-creative production, keyword identification, metadata extraction, multi-image analysis, performance prediction, and image and video generation for banners and ads. The company says the workflow from planning to distribution has been reduced from months to 5 days, and one client saw impressions up 255%, clicks up 367%, conversion rate up 861%, and cost per acquisition down 73%.
- Organization
- Dentsu Digital
- Industry
- Professional Services
- Location
- Japan
- Published
- May 2026
Reported outcomes
+861%
costCost savings
5 daysquantified impact+255%quantified impact+367%quantified impact+73%cost
Strategic outcomes
Speed & agilityReduced workflow from months to daysNew product / capabilityBuilt an integrated creative-production engineNew product / capabilityAdded AI-driven creative generation and analysis
Catalog median for cost savings deployments: +53.5% across 16 reported metrics. Compare benchmarks →
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Quantified impact: 255% increase
One client saw a 255% increase in impressions and 367% increase in clicks.
Normalized claim
Quantified impact: 367% increase
One client saw a 255% increase in impressions and 367% increase in clicks.
Normalized claim
Cost: 861% increase
The same campaign saw banner conversion rate increase by 861% and cost per acquisition fall by 73%.
Normalized claim
Cost: 73% increase
The same campaign saw banner conversion rate increase by 861% and cost per acquisition fall by 73%.
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Dentsu Digital
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Solutions Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 4
- 1Marketing automation
- 2Content generation
- 3Campaign optimization
- Reduce manual creative-development work and improve ad-creative performance.
- Enable more conversational, personalized assistance across marketing and customer-service workflows.
- Built Mugen AI, an integrated creative-production engine that uses Amazon Nova Pro, Amazon Nova Canvas, Amazon Nova Reel, and Amazon Nova Sonic through Amazon Bedrock.
- Uses consumer data and distribution data, prompt interpretation, metadata extraction, and multi-image analysis to recommend creative changes and generate assets.
- Plans to connect AI solutions through multi-agent systems.
- The workflow from planning to distribution now takes 5 days instead of months.
- One client saw a 255% increase in impressions and 367% increase in clicks.
- The same campaign saw banner conversion rate increase by 861% and cost per acquisition fall by 73%.
Architecture
Dentsu Digital's Mugen AI creative-production engine uses Amazon Nova Foundation Models through Amazon Bedrock. Nova Pro interprets prompts, performs metadata extraction and multi-image analysis, and provides creative suggestions based on ad distribution data. It then routes tasks to Amazon Nova Canvas for image generation or Amazon Nova Reel for video generation. The solution is also positioned to expand into Amazon Nova Sonic and future multi-agent AI systems.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: May 27, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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