Case Study: AI-Driven Personalization for Email and Landing Page Marketing
Role
Lead Product Designer
Year
2023
Location
Remote
About
As the Lead Product Designer, I spearheaded a zero-to-one project to integrate Generative AI into eBay's email and landing page marketing efforts. The goal was to enhance customer engagement by delivering personalized content tailored to individual user preferences and behaviors. This initiative was strategically aligned with eBay’s broader marketing strategy, including a high-profile partnership with Vogue in February 2023 to showcase eBay’s authentic high-fashion finds.
1. Problem Identification & Research
Challenge:
eBay faced the dual challenge of increasing customer engagement and conversions while maintaining brand consistency and quality. This had to be achieved at scale through AI-driven content, reducing manual effort but without compromising the user experience or brand alignment, particularly for campaigns like the Vogue feature.
Research Process:
Conducted a comprehensive audit of existing email and landing page templates to identify gaps in personalization and scalability.
Collaborated with marketing and data teams to understand user preferences and behaviors, defining key opportunities for personalization.
Benchmarked competitors leveraging AI in personalized marketing to identify best practices.
Key Insights:
Customers responded best to highly relevant, visually engaging content tailored to their interests.
Campaign alignment (e.g., Vogue) required a sophisticated blend of automation and curated content to maintain a high-fashion aesthetic.
2. Defining Goals and Success Metrics
Primary Goals:
Drive customer engagement through tailored email and landing page content.
Ensure seamless integration of AI-driven content while maintaining eBay's brand consistency.
Align personalization efforts with high-profile campaigns like Vogue.
Success Metrics:
Increase in email engagement rates (e.g., opens, clicks).
Improvement in landing page conversions.
Reduction in manual content creation workload.
3. Ideation and Strategic Planning
Approach:
Defined a vision for AI-driven marketing with an emphasis on customer-centric personalization and brand consistency.
Developed personas to guide AI content creation, ensuring relevance across diverse segments. For example:
Jen: Gen Z fashion enthusiast interested in unique, trendy pieces.
Matt: Millennial collectibles aficionado looking for rare finds.
Designed flexible templates to dynamically incorporate AI-generated content.
Key Concepts:
AI-generated content must feel human and aligned with eBay’s tone.
Templates should seamlessly adapt to highlight curated collections like Vogue’s high-fashion finds.
4. Design Development
Content Frameworks and Guidelines:
Created content frameworks for emails and landing pages to ensure consistency in tone, messaging, and design.
Developed modular templates for flexibility, allowing AI-generated elements to integrate without compromising visual appeal.
Design Specifications:
Defined technical requirements for engineering to ensure dynamic content populated correctly.
Designed templates to mirror the sophisticated visual style of the Vogue campaign, incorporating high-quality imagery, fashion-forward typography, and a clean, modern layout.
5. Collaboration and AI Integration
Partnering with Engineering:
Worked closely with engineering to define AI requirements, ensuring algorithms analyzed user data effectively to generate relevant content.
Conducted regular design and technical reviews to refine AI outputs and troubleshoot any issues with integration.
Campaign Alignment:
Designed templates to align with the Vogue feature, emphasizing curated collections and high-fashion items.
Ensured the AI-generated content highlighted similar high-value items to maintain cohesion with the campaign.
6. Testing and Iteration
A/B Testing:
Conducted A/B tests comparing AI-generated content against static, manually created templates to evaluate performance.
Tested variations in messaging, imagery, and layouts to optimize engagement and conversion rates.
Optimization:
Used insights from tests to refine AI algorithms, adjusting the tone, style, and content generation rules to better resonate with user segments.
Incorporated user feedback to further tailor templates and improve overall functionality.
7. Final Implementation
Execution:
Deployed AI-driven templates across email and landing pages, ensuring a seamless integration of dynamic content.
Aligned designs with ongoing high-visibility campaigns, including the Vogue feature, to ensure a cohesive user experience.
Handoff:
Delivered finalized templates and design specifications to the engineering team, enabling efficient deployment and future scalability.
8. Results and Impact
18% Increase in Email Engagement Rates:
Personalized content resonated with individual user segments, leading to higher opens and clicks.
12% Boost in Landing Page Conversion Rates:
Highly relevant and visually aligned content resulted in improved conversions.
35% Reduction in Manual Workload:
Automation freed up the team to focus on other strategic initiatives, such as new partnerships and high-impact campaigns.
1. Problem Identification & Research
Challenge:
eBay faced the dual challenge of increasing customer engagement and conversions while maintaining brand consistency and quality. This had to be achieved at scale through AI-driven content, reducing manual effort but without compromising the user experience or brand alignment, particularly for campaigns like the Vogue feature.
Research Process:
Conducted a comprehensive audit of existing email and landing page templates to identify gaps in personalization and scalability.
Collaborated with marketing and data teams to understand user preferences and behaviors, defining key opportunities for personalization.
Benchmarked competitors leveraging AI in personalized marketing to identify best practices.
Key Insights:
Customers responded best to highly relevant, visually engaging content tailored to their interests.
Campaign alignment (e.g., Vogue) required a sophisticated blend of automation and curated content to maintain a high-fashion aesthetic.
2. Defining Goals and Success Metrics
Primary Goals:
Drive customer engagement through tailored email and landing page content.
Ensure seamless integration of AI-driven content while maintaining eBay's brand consistency.
Align personalization efforts with high-profile campaigns like Vogue.
Success Metrics:
Increase in email engagement rates (e.g., opens, clicks).
Improvement in landing page conversions.
Reduction in manual content creation workload.
3. Ideation and Strategic Planning
Approach:
Defined a vision for AI-driven marketing with an emphasis on customer-centric personalization and brand consistency.
Developed personas to guide AI content creation, ensuring relevance across diverse segments. For example:
Jen: Gen Z fashion enthusiast interested in unique, trendy pieces.
Matt: Millennial collectibles aficionado looking for rare finds.
Designed flexible templates to dynamically incorporate AI-generated content.
Key Concepts:
AI-generated content must feel human and aligned with eBay’s tone.
Templates should seamlessly adapt to highlight curated collections like Vogue’s high-fashion finds.
4. Design Development
Content Frameworks and Guidelines:
Created content frameworks for emails and landing pages to ensure consistency in tone, messaging, and design.
Developed modular templates for flexibility, allowing AI-generated elements to integrate without compromising visual appeal.
Design Specifications:
Defined technical requirements for engineering to ensure dynamic content populated correctly.
Designed templates to mirror the sophisticated visual style of the Vogue campaign, incorporating high-quality imagery, fashion-forward typography, and a clean, modern layout.
5. Collaboration and AI Integration
Partnering with Engineering:
Worked closely with engineering to define AI requirements, ensuring algorithms analyzed user data effectively to generate relevant content.
Conducted regular design and technical reviews to refine AI outputs and troubleshoot any issues with integration.
Campaign Alignment:
Designed templates to align with the Vogue feature, emphasizing curated collections and high-fashion items.
Ensured the AI-generated content highlighted similar high-value items to maintain cohesion with the campaign.
6. Testing and Iteration
A/B Testing:
Conducted A/B tests comparing AI-generated content against static, manually created templates to evaluate performance.
Tested variations in messaging, imagery, and layouts to optimize engagement and conversion rates.
Optimization:
Used insights from tests to refine AI algorithms, adjusting the tone, style, and content generation rules to better resonate with user segments.
Incorporated user feedback to further tailor templates and improve overall functionality.
7. Final Implementation
Execution:
Deployed AI-driven templates across email and landing pages, ensuring a seamless integration of dynamic content.
Aligned designs with ongoing high-visibility campaigns, including the Vogue feature, to ensure a cohesive user experience.
Handoff:
Delivered finalized templates and design specifications to the engineering team, enabling efficient deployment and future scalability.
8. Results and Impact
18% Increase in Email Engagement Rates:
Personalized content resonated with individual user segments, leading to higher opens and clicks.
12% Boost in Landing Page Conversion Rates:
Highly relevant and visually aligned content resulted in improved conversions.
35% Reduction in Manual Workload:
Automation freed up the team to focus on other strategic initiatives, such as new partnerships and high-impact campaigns.
1. Problem Identification & Research
Challenge:
eBay faced the dual challenge of increasing customer engagement and conversions while maintaining brand consistency and quality. This had to be achieved at scale through AI-driven content, reducing manual effort but without compromising the user experience or brand alignment, particularly for campaigns like the Vogue feature.
Research Process:
Conducted a comprehensive audit of existing email and landing page templates to identify gaps in personalization and scalability.
Collaborated with marketing and data teams to understand user preferences and behaviors, defining key opportunities for personalization.
Benchmarked competitors leveraging AI in personalized marketing to identify best practices.
Key Insights:
Customers responded best to highly relevant, visually engaging content tailored to their interests.
Campaign alignment (e.g., Vogue) required a sophisticated blend of automation and curated content to maintain a high-fashion aesthetic.
2. Defining Goals and Success Metrics
Primary Goals:
Drive customer engagement through tailored email and landing page content.
Ensure seamless integration of AI-driven content while maintaining eBay's brand consistency.
Align personalization efforts with high-profile campaigns like Vogue.
Success Metrics:
Increase in email engagement rates (e.g., opens, clicks).
Improvement in landing page conversions.
Reduction in manual content creation workload.
3. Ideation and Strategic Planning
Approach:
Defined a vision for AI-driven marketing with an emphasis on customer-centric personalization and brand consistency.
Developed personas to guide AI content creation, ensuring relevance across diverse segments. For example:
Jen: Gen Z fashion enthusiast interested in unique, trendy pieces.
Matt: Millennial collectibles aficionado looking for rare finds.
Designed flexible templates to dynamically incorporate AI-generated content.
Key Concepts:
AI-generated content must feel human and aligned with eBay’s tone.
Templates should seamlessly adapt to highlight curated collections like Vogue’s high-fashion finds.
4. Design Development
Content Frameworks and Guidelines:
Created content frameworks for emails and landing pages to ensure consistency in tone, messaging, and design.
Developed modular templates for flexibility, allowing AI-generated elements to integrate without compromising visual appeal.
Design Specifications:
Defined technical requirements for engineering to ensure dynamic content populated correctly.
Designed templates to mirror the sophisticated visual style of the Vogue campaign, incorporating high-quality imagery, fashion-forward typography, and a clean, modern layout.
5. Collaboration and AI Integration
Partnering with Engineering:
Worked closely with engineering to define AI requirements, ensuring algorithms analyzed user data effectively to generate relevant content.
Conducted regular design and technical reviews to refine AI outputs and troubleshoot any issues with integration.
Campaign Alignment:
Designed templates to align with the Vogue feature, emphasizing curated collections and high-fashion items.
Ensured the AI-generated content highlighted similar high-value items to maintain cohesion with the campaign.
6. Testing and Iteration
A/B Testing:
Conducted A/B tests comparing AI-generated content against static, manually created templates to evaluate performance.
Tested variations in messaging, imagery, and layouts to optimize engagement and conversion rates.
Optimization:
Used insights from tests to refine AI algorithms, adjusting the tone, style, and content generation rules to better resonate with user segments.
Incorporated user feedback to further tailor templates and improve overall functionality.
7. Final Implementation
Execution:
Deployed AI-driven templates across email and landing pages, ensuring a seamless integration of dynamic content.
Aligned designs with ongoing high-visibility campaigns, including the Vogue feature, to ensure a cohesive user experience.
Handoff:
Delivered finalized templates and design specifications to the engineering team, enabling efficient deployment and future scalability.
8. Results and Impact
18% Increase in Email Engagement Rates:
Personalized content resonated with individual user segments, leading to higher opens and clicks.
12% Boost in Landing Page Conversion Rates:
Highly relevant and visually aligned content resulted in improved conversions.
35% Reduction in Manual Workload:
Automation freed up the team to focus on other strategic initiatives, such as new partnerships and high-impact campaigns.