Executive Summary

  • Client: A global consumer brand running digital marketing campaigns across multiple platforms.
  • Challenge: Manually creating personalized marketing visuals and videos was time-consuming, expensive, and lacked scalability.
  • Solution: AI-powered image and video generation for automated, hyper-personalized ad creatives.
  • Results:
    • 60% reduction in creative production costs.
    • 4x faster campaign rollout.
    • 35% increase in customer engagement due to personalized visuals.

“American Chase’s AI-powered creative automation helped us scale our marketing campaigns with minimal effort while improving engagement and conversions.”

  – Chief Marketing Officer

Client Background

Who They Are

A multinational consumer goods company with a strong online presence, investing heavily in digital marketing for product promotions, seasonal campaigns, and social media engagement.

Pre-Challenge State

  • Ad creatives were manually designed, limiting scalability.
  • Video production was costly and time-intensive.
  • Personalization was minimal, leading to lower ad engagement.

“We struggled to create high-quality marketing visuals at scale. Each campaign took weeks, and personalization was nearly impossible without increasing costs“

 – Digital Marketing Head

The Challenge

Pain Points

  1. Slow Creative Production: Generating high-quality images and videos took too long.
  2. High Costs: Hiring designers and video editors for each campaign was expensive.
  3. Lack of Personalization: Generic ad creatives led to lower engagement and conversions.

Business Impact

  • Missed marketing opportunities due to slow creative turnaround.
  • Inefficient resource allocation for design teams.
  • Lower ROI on ad spend due to lack of targeted content.

Client Goals

  • Automate ad creative generation with AI.
  • Enable hyper-personalization at scale.
  • Reduce campaign turnaround time while improving ad performance.

The Solution

Approach

  • Integrated AI-driven image and video generation into the client’s marketing workflow.
  • Used personalization AI to generate ad creatives based on customer demographics and preferences.
  • Enabled automated A/B testing with AI-generated visuals to optimize ad performance.

Tools & Technologies Used

  • Image Generation AI: Stable Diffusion, DALL·E (for high-quality custom images).
  • Video Generation AI: Runway ML (for automated ad video creation).
  • Cloud AI Services: Google Vertex AI (for large-scale creative processing).
  • Personalization & Automation: LangChain (to generate audience-specific variations).

Key Features

  1. Automated Ad Creative Generation: AI-generated product images and promotional videos.
  2. Dynamic Personalization: AI tailors creatives based on user behavior and demographics.
  3. Multi-Platform Optimization: Auto-resizes and formats creatives for Facebook, Instagram, and Google Ads.
  4. Real-Time A/B Testing: AI optimizes creatives by analyzing engagement metrics.

Implementation Process

Timeline

  • Phase 1 (Discovery & Planning): 4 weeks analyzing creative workflows and ad performance.
  • Phase 2 (AI Model Training & Development): 3 months for AI training and platform integration.
  • Phase 3 (Testing & Deployment): 2 months of real-world testing and optimization.

Team Structure

  • AI/ML Engineers
  • Creative Automation Specialists
  • Marketing Strategists
  • Cloud Infrastructure Experts

Overcoming Hurdles

  • Challenge:  AI-generated visuals initially lacked brand consistency.
    • Solution:  Trained models using brand-specific style guides.
  • Challenge: Marketing teams were skeptical of AI replacing designers.
    • Solution: Positioned AI as an assistive tool rather than a replacement.

Results and Impact

Quantitative Metrics

-60%

Reduction in Production Costs

AI replaced expensive manual design work.

4X

Faster Campaign Rollout

AI automated creative generation, cutting down turnaround time.

35%

Higher Engagement

Hyper-personalized visuals improved customer interactions.

Qualitative Benefits

  • 🌍 Scalability: AI enabled the client to launch campaigns in multiple languages and regions.
  • 🔄 Increased Experimentation: AI allowed for rapid testing of different creative variations.

“AI-powered content generation revolutionized our marketing. Now, we launch personalized campaigns in hours instead of weeks.”

 –– Head of Digital Marketing

Project Snapshot

  • Client: Global Consumer Brand
  • Project Duration: 6 months
  • Technologies: Stable Diffusion, DALL·E, Runway ML, Google Vertex AI, LangChain
  • Key Metric: 4x faster campaign rollout

Summary

Used AI-based image and video generation to automate content creation, reducing production costs by 50%.