Growth hacking in e-commerce often presents significant challenges for performance optimization. One major hurdle is maintaining long-term brand value while pursuing rapid, short-term gains, which can sometimes compromise the customer experience or brand trust. There's also the difficulty in accurate attribution and data interpretation, as a multitude of concurrent experiments can obscure which specific changes truly drive performance metrics. Furthermore, the resource intensity required for continuous A/B testing, in-depth analysis, and rapid iteration can be substantial, demanding dedicated teams and robust tooling. Over-reliance on quick wins may inadvertently neglect the importance of customer lifetime value (CLV) in favor of immediate conversions, potentially leading to unsustainable growth patterns. Finally, scaling successful hacks across different market segments or product lines often reveals limitations in scalability and transferability, requiring constant adaptation and re-evaluation. More details: https://www.javascript.nu/frames4.shtml?https://infoguide.com.ua