Personalized Product Recommendations Spur Online Transaction Increase of up to 20 Percent

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Strands Recommender and Miva Merchant have partnered to bring online retailers a cost-effective personalized product-recommendations solution to increase sales.

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Cross-sell functionality traditionally reserved for the largest online retailers can now be offered by small- and medium-sized ecommerce businesses–risk free!

Miva Merchant, a leading provider of e-commerce software solutions, announced its partnership with Strands Recommender, a personalized product recommendations company. Strands Recommender helps online retailers present the most relevant products to customers at the right time to increase conversions and sales throughout the customer life cycle.

Businesses already running Miva Merchant e-commerce software now have the ability to offer cross-sells and up-sells, cart abandonment, and other types of targeted product recommendations, bringing a personalized shopping experience to all customers with a Miva Merchant-specific Strands Recommender module & service plan.

“Cross-sell functionality traditionally reserved for the largest online retailers can now be offered by small- and medium-sized ecommerce businesses–risk free!” commented Rick Wilson, President and COO of Miva Merchant, referring to the exclusive offer available for a limited time through the Strands Recommender Miva Merchant module. The limited time offer includes a 30 day free trial followed by $49/month to serve 50,000 recommendations per month to customers.

"The real stand-out benefit for Miva Merchant online store owners is the automation and artificial intelligence built into Strands Recommender; it's constantly learning and optimizing its suggestions to increase your sales and therefore your ROI. With this plug-in extension, implementation is easy and reports are available right away." said Jesus A. Pindado, VP of Strands Recommender.

Some of the early Miva Merchant stores using the introductory service plan are already reporting fantastic results:

Chris Chobot from EdgeAngling says, "The installation of the module is simple and straightforward, the system is very fast in processing data for our 15,000 products and daily visitor behavior, and the reports include clear information about recommendations converting into purchases".

Stephen Scheer of comments, "We installed Strands Recommender in early March and decided to include 5 or 6 recommendation widgets throughout the site. Over the last 3 months, the impact on average basket size has been just over 20%, and today 17% of our revenue comes from recommended products." founder Paul Cary touts, "We installed 3 personalized recommendation widgets in our site using Strands Recommender in late April. The system has been learning and creating profiles for a few hundred visitors every day, including browsed products, cart abandonment, etc. Over the last month, 19.2% of our orders include products that are sold as a result of a recommendation from the Strands engine".

About Strands Recommender
Strands Recommender is a San Francisco-based personalized product recommendation company that helps retailers save time and increase their sales by personalizing the shopping experience and tailoring their email marketing campaigns to each customer. The company provides simple and affordable product recommendations software to more than 50 customers ranging in size from $1M – $150M+ year, including cdWow, TravelSmith and SkyMall. Monthly pricing plans begin at $149 per month for a starter plan including a 30 day trial, up to enterprise-level plans starting at $999 per month.

About Miva Merchant
Miva Merchant has been building feature-rich e-commerce software since 1995. Over 50,000 merchants use the company’s highly customizable, intuitive and scalable shopping cart solution. These merchants range from the hand-selected boutique products store to the manufacturer directly integrating their manufacturing with distributor access and an online retail presence. To see examples of stores running on Miva Merchant, visit


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Brenda Roquemore
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