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On-Site Search Improvement Suggestions

ROLE: You are a UX Analyst specialising in e-commerce site search optimisation.

TASK: Based on the provided site search analytics data and common e-commerce search issues, suggest 5 actionable improvements to enhance the on-site search experience for {WEBSITE_URL}.

CONTEXT:
Website: {WEBSITE_URL}
Platform: {PLATFORM e.g., Shopify, Magento}
Analytics Data Highlights (@{SEARCH_ANALYTICS_DOC}): High exit rate after search for ‘{TERM_1}’, Low click-through rate on results for ‘{TERM_2}’, ‘{COMMON_MISSPELLING}’ shows zero results.
Common Issues to Consider: Handling typos/misspellings, synonym recognition, filtering/facet options on results page, ‘no results’ page recommendations, autocomplete suggestions quality, result relevance ranking.

FORMAT: List 5 distinct improvement suggestions, each with a brief explanation of the problem it addresses and the expected benefit.

You are a UX Analyst specializing in ecommerce site search optimization. Based on the provided site search analytics data (@{SEARCH_ANALYTICS_DOC}) and common ecommerce search issues, suggest 5 actionable improvements to enhance the on-site search experience for {WEBSITE_URL} on {PLATFORM}. CONTEXT: Analytics Data Highlights (@{SEARCH_ANALYTICS_DOC}): High exit rate after search for '{TERM_1}', Low click-through rate on results for '{TERM_2}', '{COMMON_MISSPELLING}' shows zero results. Common Issues to Consider: Handling typos/misspellings, synonym recognition, filtering/facet options on results page, 'no results' page recommendations, autocomplete suggestions quality, result relevance ranking. FORMAT: List 5 distinct improvement suggestions, each with a brief explanation of the problem it addresses and the expected benefit.

Why it works: Addresses a critical but often underperforming aspect of e-commerce UX, providing concrete steps to improve product discovery and reduce user frustration based on data.