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Michael MancusoProduct & technology executive
Projects & case studies

Complex work.
Concrete results.

Product launches, operating-model changes, and complex AI-enabled builds. Explore the business problem, the decisions I led, and what changed.

Built with agents

Product strategy and a repository-based second brain.

Phase 3 Benefits brings eight health, commuter, and wage-law account types onto one payment card. I built a repository-based second brain—product strategy, specifications, verified facts, and agent memory—to keep AI development aligned.

Specification-driven development at platform scale.

Shared FHIR-based contracts coordinated parallel development across clinical, operational, and financial workflows.

Leadership case studies

Showing 6 of 38

Wendy's

Implemented Acquia Lift to personalize Wendy's website content based on user behavior, leading to higher engagement, improved conversion rates, and a more satisfying user experience.

01

Challenge

Wendy’s faced the challenge of providing a personalized user experience on their website to increase engagement and drive conversions. The goal was to leverage user behavior data to present relevant content, thus enhancing the overall user experience and improving marketing effectiveness.

02

Action

To address this challenge, I led the implementation of Acquia Lift to enable behavioral segmentation and personalization on Wendy’s website. Key actions included:

  • Behavioral Segmentation Strategy: Developed a comprehensive strategy for behavioral segmentation, identifying key user behaviors that could be leveraged to personalize content.
  • Integration with Acquia Lift: Integrated Acquia Lift with Wendy’s website to track user interactions and preferences in real-time.
  • Personalized Content Delivery:Configured Acquia Lift to dynamically present personalized content based on user behavior. Specific implementations included:
    • Ad Engagement: If a user clicked on a Baconator ad, subsequent visits would prominently feature Baconator-related content.
    • Menu Preferences: Users who clicked on salad-related content would see more salad options and promotions on subsequent visits.
    • Organic Traffic: For visitors arriving organically, their behavior on the menu page would determine the content they see on future visits, ensuring the site shows relevant and engaging menu items.
  • User Data Analysis: Continuously analyzed user data to refine and improve the personalization algorithms, ensuring they remained effective and relevant.
03

Results

The implementation of Acquia Lift for behavioral segmentation and personalization led to significant improvements in user engagement and conversion rates on Wendy’s website:

  • Increased Engagement: Users were more engaged with the website, spending more time on pages that featured content tailored to their preferences.
  • Higher Conversion Rates: Personalized content led to higher conversion rates, as users were more likely to take desired actions, such as placing an order or signing up for promotions.
  • Enhanced User Experience: Users enjoyed a more relevant and enjoyable browsing experience, which increased their overall satisfaction with the website.
  • Data-Driven Insights: The continuous analysis of user behavior provided valuable insights that informed future marketing strategies and content development.

Questions

How was behavioral segmentation implemented on Wendys.com?

Behavioral segmentation was implemented using Acquia Lift to analyze user behavior patterns and deliver personalized content, offers, and experiences based on individual user segments.

What personalization results were achieved?

The personalization initiative was recognized as a finalist for Acquia's Best in Personalization award and drove measurable improvements in user engagement and conversion rates.

What technology powered the Wendys.com personalization?

Acquia Lift was the core personalization engine, integrating with the Acquia Drupal CMS to analyze user behavior in real time and deliver tailored content, promotions, and experiences per segment.

What specific behavioral segments were created on Wendys.com?

Segments were based on user actions — for example, users who clicked on a Baconator ad saw more Baconator content on return visits, while salad-focused visitors saw more salad options. Organic visitors were segmented by menu page behavior.

Why was this project a finalist for Acquia's Best in Personalization award?

The project demonstrated sophisticated real-time behavioral segmentation that dynamically adapted website content to individual user preferences, driving measurable improvements in engagement and conversions — earning recognition among Acquia's top personalization implementations.

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