Our Tool Making Journey

# Our Tool Making Journey

Building our ad evaluation tool has been an exciting journey. In this article, we'll share our experience and what we learned along the way.

The Problem We Solved

Many businesses struggle to evaluate the quality of their ads. They don't know if their ads are effective or how to improve them.

We decided to build a tool that uses AI and machine learning to evaluate ads and provide actionable recommendations.

The Development Process

Phase 1: Research and Planning

We spent months researching how ads work and what makes them effective.

**Key findings**: - Visual elements matter - Copy quality is crucial - Targeting alignment is important - Platform-specific best practices vary

Phase 2: MVP Development

We built a minimum viable product (MVP) with basic functionality.

**Features**: - Image analysis - Copy evaluation - Platform-specific recommendations - Basic scoring

Phase 3: User Testing

We tested with real users and gathered feedback.

**Insights**: - Users wanted more detailed recommendations - Mobile optimization was important - Integration with ad platforms was desired - Pricing guidance was valuable

Phase 4: Refinement

We refined the tool based on user feedback.

**Improvements**: - Enhanced recommendations - Better UI/UX - More detailed analytics - Integration with Google Ads

Key Learnings

1. User Feedback is Gold

Listening to users and iterating based on their feedback was crucial to our success.

2. Simplicity is Key

We learned that simpler is better. Users wanted straightforward recommendations, not complex analysis.

3. Data Quality Matters

The quality of our analysis depends on the quality of our data and algorithms.

4. Continuous Improvement

Building a tool is never "done". We continuously improve based on user feedback and new insights.

The Impact

Our tool has helped thousands of businesses improve their ad performance.

**Results**: - Average 25% improvement in ad performance - 40% reduction in wasted ad spend - Improved conversion rates - Better ROI

What's Next

We're constantly working on new features and improvements.

**Upcoming features**: - Video ad analysis - A/B testing recommendations - Competitor analysis - Integration with more platforms

Conclusion

Building our ad evaluation tool has been a rewarding experience. We're excited to continue improving it and helping businesses succeed with their advertising.