30-day product test diary: what I did each day and what I’d change

João Victor Ramos · 2026-10-07

Week 1

The first week focused on creating and setting up the campaign.

1. Product selection: I went with a high-demand product in the health and wellness niche.
2. Ad creation: I developed 3 ad variations with different creatives and copy, using FreeSpy for inspiration.
3. Targeting: I targeted the audience based on specific interests and demographic data.
4. Initial budget: I set a daily budget of R$100, testing the campaigns during peak hours.

Results: The click-through rate (CTR) came in at 2,5%, but conversions were low, with just 1 sale.

Week 2

In the second week, I made adjustments based on the data I collected.

1. Ad optimization: I turned off the lowest-performing variation and created a new creative.
2. A/B testing: I ran A/B tests with different calls to action (CTA).
3. Targeting review: I expanded targeting to include lookalike audiences.
4. Metrics analysis: I tracked metrics like CPC and ROAS, adjusting the budget to R$150/day.

Results: CTR increased to 3,5%, and conversions went up to 5 sales, but the cost per acquisition (CAC) was still high.

Week 3

The third week was dedicated to scaling and building out a product lineup.

1. Scaling: I increased the budget to R$300/day and created dynamic ads to reach more users.
2. Product lineup: I added complementary products to the campaign to increase average order value.
3. Remarketing: I launched remarketing campaigns to reach users who engaged but didn’t convert.
4. Critical analysis: I used FreeSpy to analyze competitors and adjust my strategies.

Results: Sales increased to 12, with an improvement in CAC, but it was still below the ideal level for profitability.

Week 4

The final week focused on consolidating what I’d learned and preparing a final report.

1. Performance analysis: I evaluated all the campaigns, identifying which ads and targeting brought the best results.
2. Customer feedback: I collected customer feedback to understand the shopping experience.
3. Final adjustments: I adjusted the ads based on feedback and performance metrics, aiming to improve conversions.
4. Future planning: I put together a plan to keep the campaign running and scale sales.

Results: Sales totaled 20, with average CAC down 30%. CTR was at 4%, a good sign for the future.

Lessons

1. The importance of testing creatives and targeting.
2. Constantly monitoring performance metrics is crucial for making quick adjustments.
3. Building out a product lineup can increase average order value and profitability.
4. Customer feedback is essential for continuous improvement.

What’s your best result from a product test campaign? Share your numbers!