LiftSuggest Blog

Barriers to E-commerce – A layman’s perspective

Samridhi — Wed, 01 Feb 2012 15:02:14 +0000

Once upon a time, acquiring customers online was the greatest of all the challenges. Then came Adwords, search engine optimization, email marketing, banner advertising and many more. This made the customer acquisition easier and the challenge was then in engaging them. This led to improving usability, advanced Analytics implementations for better customer insights, and many [...]

4 Elements to A/B Test for Product Recommendations to increase order value

kamaksh — Fri, 27 Jan 2012 06:03:41 +0000

A/B testing is not unknown anymore. Google has made the life of many of us easy with Website optimizer, a great tool to execute A/B and multivariate tests. People keep doing these tests to improve their conversions. Testing is used on many of the websites today. So well that A/B testing is not limited landing [...]

LiftSuggest Product Recommendation Manual Implementation – JS Tracking

Suketu Parikh — Wed, 14 Dec 2011 14:21:37 +0000

We recently updated our JavaScript Tracking Code in all the modules. Now this blog post would allow users to implement this tracking on your e-commerce store which are not powered by Zencart, Virtuemart(Joomla), WordPress or Os-Commerce. My previous blog post: Enhancement in Measurement of LiftSuggest Product Recommendations will make you understand why it’s important for [...]

Enhancement in Measurement of LiftSuggest Product Recommendations

Suketu Parikh — Tue, 29 Nov 2011 07:19:24 +0000

Recently we updated shopping cart modules for Zencart, Magento, Virtuemart (Joomla), OsCommerce and WordPress. This majorly included a change of LiftSuggest.js hosted through LiftSuggest for an improved tracking of the LiftSuggest Product Recommendations. Main purpose of making this change was to maintain tracking of the product recommendations in more improved manner and simplicity across all [...]

Ready to use Product Recommendation Modules for Shopping Carts

kamaksh — Sat, 26 Nov 2011 13:13:13 +0000

LiftSuggest supports any shopping cart application you are running your e-store on. What is “Ready to use Product Recommendation Modules”? Let me explain. There are two ways you can get started with LiftSuggest to generate product recommendations for your customers: Manual installation Automatic installation Manual Installation In Manual installation, you have to use LiftSuggest APIs [...]

Shopping Basket Analysis – Google Analytics

rakesh — Wed, 23 Nov 2011 07:12:55 +0000

Ever since the computerization of point-of-sale systems, retailers have been collecting vast amounts of customer purchasing and behavior data. The problem is how to make sense of it all. Traditional reports don’t reveal much of the information but the challenge is to take it one step further – to identify relationships between products. This problem [...]

OsCommerce Module for LiftSuggest Recommendations

Suketu Parikh — Thu, 03 Nov 2011 06:28:26 +0000

As a continuous support to make our customers happy and extending our span of the modules for various shopping carts. We are now ready with the LiftSuggest Product Recommendation Module for OsCommerce. OsCommerce is one of the very old opensource shopping cart system, which has been contributed a fair share in open source e-commerce application [...]

Launching LiftSuggest Insights – Performance metrics for Product Recommendations

kamaksh — Mon, 24 Oct 2011 15:29:58 +0000

LiftSuggest Insights, a reporting tool that gives you insights on your customer’s behavior with LiftSuggest recommendations. Using this feature, you will know how much increase in sales you got using LiftSuggest recommendations engine. It works like an Analytics Dashboard for your LiftSuggest profile. Some common questions: How it works? When you sign up with LiftSuggest, [...]

How to start with Product Bundling

kamaksh — Mon, 24 Oct 2011 13:40:10 +0000

By far, product recommendations are not new to any marketer around. Every e-commerce store owner wants to make money from recommendations. Moreover, customers also like website which serve recommendations. They get a personalized experience. Feels like someone at a physical store, suggesting them products they should buy. Since recommendations are becoming popular, it’s losing its [...]

LiftSuggest’s implementation of Amazon Style Recommendation

Samridhi — Mon, 24 Oct 2011 07:53:06 +0000

Traditionally, when customers visits a store (physical store) they usually end up buying there due to personalized attention and fewer options or because they don’t want to roam places. This is not the case with online shopping. As the online shopping culture has made it much easier for the customers to search through various sites [...]