Response: Certainly, Avi. These metrics played a crucial role in helping us fine-tune and optimize our campaigns for better performance.

For **PPC**, we closely monitored the **CTR** to assess how well our ads were resonating with the target audience. If the CTR was lower than expected, we would adjust the ad copy, visuals, or targeting to make the ads more appealing. Similarly, by tracking **CPA**, we ensured that our ad spend was efficient. If the CPA was too high, we would refine our targeting or adjust bidding strategies to reduce costs while maintaining quality traffic.

For **SEO**, we used **A/B testing** to experiment with different landing page designs, content layouts, and calls-to-action. By analyzing the **bounce rate** and **conversion rate** from organic traffic, we could identify which pages were performing well and which needed optimization. For example, if a particular landing page had a high bounce rate, we would revisit the content or design to make it more engaging and relevant to the user’s search intent.

By continuously analyzing these metrics, we were able to make data-driven decisions that improved both traffic and sales outcomes. For instance, optimizing landing pages based on geographic traffic insights helped us tailor content to specific regions, which led to higher engagement and conversion rates. This iterative approach allowed us to enhance the overall performance of the campaigns and achieve better e-commerce results.