eCommerce Solutions
Increase Conversions and Sales up to 25%
Strands Recommender is the best option for online retailers wanting to easily and cost effectively drive new sales and an engaging customer experience on their site. It comes packed with powerful features that present the most relevant products to your customers at the right time, driving the most value throughout the whole customer life cycle. Discover the full list of features available for you below.We realize that every business is unique, an apparel retailer and an electronic retailer have very different merchandising requirements. With this fact in mind, we have created an easy to use interface that provides merchandisers the ease and flexibility to control how and when recommendations are shown.
Creating a rule or filter is simple, all a merchandiser has to do is pick from a list of rules similar to the ones below, set the rule to a specific widget or across all widgets and click apply. This allows the merchandiser to view the results of the rule on individual products before being applied to the site.
Pricing
Define the price point or range of the recommendations based on the product being viewed. For example, promote sales items or up-sell to higher priced items.
Define the price point or range of the recommendations based on the product being viewed. For example, promote sales items or up-sell to higher priced items.
Weighting
Select the parameters that are more important for making recommendations. For example, focus on purchase-based recommendations to give a lot of weight to user purchases.
Select the parameters that are more important for making recommendations. For example, focus on purchase-based recommendations to give a lot of weight to user purchases.
Item Filtering
Limit the recommendation set to item properties that you define. For example, recommendations based on brand, category or product type, etc.
Limit the recommendation set to item properties that you define. For example, recommendations based on brand, category or product type, etc.
Exclude / Include
Tell the recommendation engine to include or exclude certain items based on the user's previous behavior. For example, don't recommended items already visited or purchased.
Tell the recommendation engine to include or exclude certain items based on the user's previous behavior. For example, don't recommended items already visited or purchased.
User Filtering
Limit the recommendation set to user properties that you define. For example, recommendations based on user's zip code or purchase history.
Limit the recommendation set to user properties that you define. For example, recommendations based on user's zip code or purchase history.
An apparel merchandiser may decide to limit recommendations to a specific brand and above a certain price point. Imagine these recommendations reside on your shopping cart page so previous purchases will be excluded.
Benefits
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eCommerce Overview
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case studies
case studies
