Tag: product recommendations


Automated home page product recommendations is key to e-commerce Merchandising

Posted on January 29, 2018 by


One of the most commonly executed tasks at any retail store (brick & mortar), is to merchandise the stock visible to consumers. The dictionary defines Merchandising as “the activity of promoting the sale of goods, especially by their presentation in retail outlets.” This is exactly why retailers do this religiously at their stores because the consumer psyche believes “what you see, is what you get”. The purpose of Merchandising is two fold

  1. For the window shoppers passing by the store often it creates a sign of freshness, helping them believe that there is more to see inside the store if they step in
  2. For retailers, this exercise also gives them a chance to promote items, collections, categories that they may want to drive sales or inventory turns, depending on their goals for the month

Retails mercnahdising products to attract visitors

This task of Merchandising requires the store to understand data – what products are new, best selling, trending by category, collection etc., it is more significant than just picking pretty looking products; and involves knowing which of these products meet the data requirements for the merchandising activity in mind.

This exact same user experience is expected by visitors even in the online world, but why do most online retailers have the same homepage for weeks together? Our data suggest that most visitors who have an interest in your online store are likely to visit the store more than 3 times before they purchase. Your store is just a click away and that is exactly why everyone loves online shopping: It’s convenient! It’s another channel for your customers to reach out to your store and they expect the same experience from your online store. But, online shopping is a lot harder on retailers because walking out of your store is also a click away.

The need for the art of  Merchandising is more important at your online store and should be executed with the same goals as your physical store. Keep it fresh and engaging, show something new every X days on your homepage. As a retailer, your core competency is to figure out the Merchanding plan for the week and leave it to tools like Tagalys or BlueFoot to execute this strategy in the easiest manner. You have to also understand that Merchandising tools like Tagalys and Bluefoot are geared to keeping the Merchandiser in mind. They are easy to use with visual & interactive tools that allow your online merchandising team to focus on Merchandising and the technical requirements also imposed by platforms like Magento, Shopify etc.,

At Tagalys, we help our customers with a suite of features that helps you merchandise your online storefront. Some of the most popular features used by our customers are homepage recommendations like – Personalized Recommendations, Bestsellers, New Arrivals & Trending that constantly change based on the data generated by your online store. The same strategy is used by leading online retailers like Amazon, Target, Walmart where they continuously change their home page, as first impressions are the best impressions. Our customers also use the Merchandising feature from Tagalys, to create product listing pages in less than 60 seconds, that is anchored to the home page. And with all these features, we also provide real-time analytics, so as a Merchandiser you can evaluate if the strategy is actually working.

Interested, then check out our 28 day free trial. Sign up now.

Posted in e-Commerce General e-Commerce Product Listing pages e-Commerce Product Recommendations

Personalized Homepage Product recommendations : The Amazon way

Posted on October 4, 2017 by


If you do not have billions of dollars to build your own personalized recommendation engine like Amazon, this post is for you. When you think of Personalization in e-commerce, you should think of Amazon. No online retailer has experimented across varies application of personalization with the goal to help visitors find a product of interest.

Personalization should not be measured by improvement in conversion rate, cause factors like marketing, promotions, product content, payment gateway failure rates, discounts influence the purchase decision of a visitor. What personalization should do instead, is to allow an online shopper discover as many products thus improving the unique product views per unique visitor metric, eventually improving the end conversion rate. Here are a few funnels where Amazon experiments with Personalization and Tagalys provides the same for online retailers

Personalized home page Product Recommendations

When you engage with products at Amazon, you start sending signals of intent helping them understand what you might be interested to buy. If you return to the home page, almost instantly you will discover many personalized product recommendations by category to ensure you do not get lost in the store and remain to engage with the products or categories of your interest.

Personalized home page recommendations

Search is usually the best performing funnel at any online retailer. At one of our clients candere.com, personalized homepage recommendations led to 10x higher revenue per visitor vs. the search funnel, with a 4x higher conversion rate

Personalized Site Search

Once you have created a persona for each visitor, it is easy to curate the catalog based on their intent and show them exactly what they want. For example, if I am in the mood for running shoes, then when I ask/search for shoes, the retailer would show me running shoes first besides showing the generic product sorting that is defined sitewide.

Personalized Store or Product feed

Amazon has been experimenting with this feature with a small subset of products in what is called “my mix”. At Tagalys we call this feature my-store. Essentially, what this allows a retailer to do it dynamically prioritize categories and products for each visitor based on exactly what they want.

More on My Store from Tagalys in the next article. Interested, Sign-up for your free trial now.

Posted in e-Commerce Personalization e-Commerce Product Recommendations