Results from AI Creative Marketing Campaigns: Analysis of 10 E-commerce Stores

Juliana Carvalho · 2026-10-07

CTR comparison before and after implementation

Implementing AI-generated creatives had a significant impact on ad click-through rate (CTR). In a study analyzing 10 Brazilian e-commerce stores, the average CTR before implementation was around 1.2%. After adopting AI creatives, that rate increased to about 2.5%, an average improvement of 108%. This change can be attributed to the personalization and relevance of the ads, which became more aligned with the target audience's preferences.

Study of 10 active success stories in brazil

1. Fashion e-commerce store – CTR went from 1.5% to 3.2%
2. Electronics store – CTR went from 1.1% to 2.7%
3. Marketplace for natural products – CTR went from 1.9% to 4.0%
4. Cosmetics store – CTR went from 1.3% to 2.9%
5. Pet accessories e-commerce store – CTR went from 1.0% to 2.4%
6. Furniture store – CTR went from 0.9% to 2.1%
7. Kitchenware e-commerce store – CTR went from 1.4% to 3.0%
8. Sporting goods store – CTR went from 1.2% to 2.8%
9. Home decor Marketplace – CTR went from 1.6% to 3.5%
10. Supplement store – CTR went from 1.0% to 2.2%

The effect of AI creatives on brand perception

AI-generated creatives didn't just increase CTR; they also improved brand perception. Many companies reported increased brand awareness and consumer trust, along with positive feedback on the quality and relevance of the ads. This is crucial in a competitive environment where differentiation is essential.

Identifying the niches that benefited the most

The niches that benefited the most from implementing AI creatives include:

• Fashion and Accessories – high personalization
• Health and Beauty – eye-catching visuals
• Technology – innovation and modernity
• Food and Beverages – sensory appeal
• Pets – emotional connection with consumers

Challenges encountered and how they were solved

Some challenges were common among the e-commerce stores analyzed:

1. Lack of quality data: Many e-commerce stores didn't have enough data to train AI algorithms. The solution was to implement a more robust data collection strategy, focusing on segmentation and consumer behavior analysis.

1. Resistance to change: Some teams were reluctant to adopt new technologies. The solution was to hold workshops and training sessions to demonstrate the benefits of AI.

1. Integration with existing platforms: Integrating AI creatives into existing campaigns was challenging. The solution was to set up a testing schedule, starting with small ad groups before scaling up.

This analysis of 10 e-commerce stores shows that adopting AI creatives can deliver significant results, but it's essential to be prepared to face challenges.

What CTR increase did you get after implementing AI creatives? Share the numbers!