Related Digital is providing services to 2000+ brands in 30+ countries now.
Our Search Recommendation can help you recommend new products and brands to your website visitors and automatically correct their typos during the search process.
Boost Your Sales by Personalizing the Product Discovery Process
Personalized Search not only helps visitors on your website find exactly what they’re looking for, but also recommends related products, brands, and categories to streamline their purchasing journey. By analyzing users’ needs and past interactions, the system delivers more accurate results, helping customers find the right product faster. Data gathered from search results is used to build precise user segments, which can then be integrated into your marketing strategies and activated throughout the customer journey. In turn, you enhance user experience while increasing opportunities for cross-sell and upsell, significantly boosting your sales. When customers are shown relevant alternatives after finding what they were looking for, they are more likely to add additional items to their cart—resulting in a higher total sales volume.
Simplify the Add-to-Cart Process and Drive Conversions
You can guide customers even before they start typing in the search bar by offering suggestions that encourage product discovery. A personalized search experience not only helps users find items with ease but also speeds up the path to cart addition. Search recommendation outputs don’t just enhance the search experience—they also influence your overall marketing strategy, enabling more effective communication across the customer journey. Highlighted brands, categories, and popular items in the search suggestions keep users engaged and introduce them to new products. These suggestions help customers build bigger shopping carts, directly leading to more sales.
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Automatically Correct Typos and Safeguard Your Revenue
Spelling errors in the search bar can prevent customers from finding the right products—leading to potential lost sales. The Personalized Search feature automatically corrects such typos, ensuring users reach their intended results with ease. This improves the overall experience and helps preserve valuable sales opportunities.
Grow Your Business Faster with Personalized Search
Personalized Search enhances the customer experience and helps you increase your revenue. With this solution, you can provide highly relevant product recommendations, accelerate the shopping process, and boost customer satisfaction.
What is Search Reco?
Search recommendation, which you can influence the purchasing processes, allows you to convert your customers’ queries in the search section of the site into sales.
It offers your customers the opportunity to suggest new products/services and edit typos during the search processes. With Personalized Search, you can increase your sales by improving the user experience by offering personalized recommendations to all your customers.
Search Recommendation includes search results tailored to each individual based on their profile, which can include search history, purchase history, brand preference, product ratings, gender, and more.
Personalization can also encourage users to stay on a site longer by exposing them to additional potentially attractive options. It minimizes the amount of effort required for people to find what they want. Shoppers become loyal customers, which leads to more sales and repeat visits. It positively affects your customer relations by increasing the user experience.
- You can correct the spelling mistakes of your customers, and increase the customer experience by detecting synonyms for words.
- You can direct your customers to the page or product you want and bring them to the fore.
- You can see the most recently searched words and the most popular queries.
Search Recommendation helps users reach the most relevant results faster and more naturally. This creates a smoother search experience and strengthens overall engagement.
Standard search shows the same results to all users. Search recommendation personalizes results based on user behavior and preferences.
Recommendation models can use search history, behavioral data, interaction signals, and contextual inputs. Together, these signals help surface results that better match user intent.
Search history helps the system understand user intent and interests. It prioritizes more relevant and related results.
Yes, incognito mode limits access to historical data and cookies, which reduces the level of personalization. As a result, search results become more general and less behavior-driven.
Yes, it is secure when built with proper data privacy and security standards. User data is anonymized and processed safely.
It helps users find what they are looking for faster by reducing friction in the search journey. This makes the overall experience more intuitive, efficient, and satisfying.
Yes, by surfacing more relevant results, Search Recommendation can help users move from discovery to action more quickly. This supports a more efficient journey and stronger conversion performance.