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It's time to take stock of your ecommerce search strategy — look at the data, identify gaps, and assess the effectiveness of customer profiles and the impact on the customer experience.
It’s not enough to set up your search strategy and forget about it. Ensuring online operations are generating desired bottom-line results and can scale and pivot to deal with shifts in customer numbers and inventory is a continuous process.
AI search is now integral to the customer journey, and the search box is an important piece of real estate on any retail website, delivering a bounty of valuable data about customers and product.
The post-holiday period is the time to take a deep dive into search analytics and refine KPIs to understand your customer and get the most value out of your search strategy.
The data generated by AI search enables merchandising and technology experts on your team to take a careful look at what worked and what didn't.
It is an opportunity to test different blends of manual curation and AI to better leverage search and merchandising decisions — taking the time to do the analysis, experimentation, and A/B testing that helps improve conversions.
By taking advantage of the tools and resources available on an AI search platform like Algolia AI Search, enterprises can use the technology to show online shoppers what they need, and better evaluate customer intent and generate the search results that positively impact ROI.
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