OptAdEasy Redesign: Simplifying AI Ad Optimization for Growth

Redesigned the core experience of an AI-driven ad optimization platform to simplify complexity, unlock feature adoption, and support scalable growth.

OptAdEasy platform redesign showing performance dashboard

The Challenge

OptAdEasy offers powerful AI-driven ad optimization for SMBs and agencies. However, its complexity often obscured these benefits. The platform needed to evolve from a powerful but challenging tool into an intuitive partner for users.

Project Goals

  • Streamline core ad optimization workflows
  • Build user trust in AI recommendations through clarity and context
  • Improve feature discovery and adoption
  • Enhance user confidence and operational efficiency

Research, Problem Definition & Key Insights

To ground our redesign in authentic user experiences, we conducted comprehensive research. Our methodologies aimed to gather both qualitative and quantitative data, providing a holistic view of the user journey and pain points.

Competitive analysis and user feedback
User journey map of the advertising optimization workflow

This Research Pinpointed Critical Issues

These findings highlighted the urgent need for an experience that was not only simpler and more intuitive but also actively built user trust and catered effectively to varied levels of user expertise and distinct workflow requirements.

Diagram summarizing key user research insights for OptAdEasy redesign

Strategic Solutions

Our strategy directly addressed these defined problems with targeted, user-centered solutions. We established clear strategic pillars to guide our redesign efforts across the platform.

Diagram showing problem definition and strategic solutions for OptAdEasy redesign

Key Redesigned Features

Landing Page: Revamped to clearly articulate value, enhance brand trust, and boost conversion rates.

Redesigned OptAdEasy landing page mockup

Sign-up & Sign-in Flows: Simplified by minimizing steps and adding trust signals, significantly reducing user friction and abandonment.

Performance Grader Report: Delivered transparent, actionable insights from connected ad accounts, establishing platform credibility and showcasing the AI's value early in the user journey.

Optimization Module: Helped users make confident decisions by turning complex AI outputs into clear, guided, and actionable insights.

OptBot AI assistant interface

Dashboard: Streamlined for an at-a-glance overview of ad performance, enabling quick identification of key trends and successful strategies.

Report: Redesigned to deliver clear, actionable insights from comprehensive ad data, facilitating informed decision-making and strategic adjustments.

Key Takeaways

Working on OptAdEasy helped me clarify core principles for designing AI-powered tools:

1. Explain the "Why", Not Just the "What"

Users are more willing to trust and follow AI recommendations when they understand the reasoning and expected impact behind them.

2. Progressive Complexity

Advanced options are powerful but can be overwhelming. I learned to stage complexity gradually, revealing deeper controls only based on user intent and expertise.

3. Actionable Insights First

To respect users' time, dashboards should prioritize the most actionable insights immediately, rather than forcing users to dig through raw data.

4. Flexible Workflows for Hybrid Personas

The product must serve both busy founders (who need speed) and performance marketers (who need control). The design solves this through layered information architecture.

5. Looking Forward

In future iterations, I aim to validate these decisions with live experiments, specifically tracking metrics like Time-to-Decision, AI Adoption Rate, and Retention across different user segments.

Note: Visuals and data have been modified for confidentiality.