Lampcommerce

For the LampCommerce project, SAY implemented a multifaceted strategy to reverse the negative trend in organic traffic and post-migration revenue. A comprehensive analysis revealed a significant loss of visibility, mainly in the product pages, which are essential for conversions. Consequently, an SEO strategy was adopted to enhance website performance by targeting Core Web Vitals metrics and enriching the content of product listing, which often suffered from duplication or lack of text. Ongoing optimisation of brand and category content aimed to capture transactional searches and strengthen LampCommerce’s positioning against competitors. At the same time, CRO analysis was conducted to identify and remove conversion barriers, with the help of tools such as Hotjar and direct user feedback, as well as technical interventions to enhance Core Web Vitals. Slow website performance, attributed to underpowered servers, was resolved with a server change to ensure better indexing. A distinctive strength of the strategy was the use of AI-powered content generation, which enabled the mass creation and optimisation of 800 product descriptions in five languages, resulting in 4,000 unique descriptions. This innovative process, which included scraping, dynamic AI prompt generation and automated translations, led to two waves of content imports, leveraging the GPT-3 API and later GPT-3.5, to ensure high quality content. Finally, in the SEO sphere, the most strategic brands and categories were enriched with textual content and on-page elements, such as the addition of a Table Of Contents (TOC) and interactive carousels with Call To Action (CTA), to improve both user experience and organic website visibility.