There is good news for all those marketers and business analysts out there who eat, drink and breathe Google Analytics data. Very recently Google announced that for Google Analytics 360 users, data shall now be available as quickly as every…
(This is the 2nd part in a three post series on Product Recommendation. Read the part 1 & part 3 to learn where to place your product recommendation section & how to tweak your product recommendation to improve average order value) In the first…
Consider that you have a successful E-commerce store with an above average conversion rate. Now, in order to encourage your consumers to buy and take conversions higher, you decide to offer discount on your products. The discount leads to a…
If you have an online store, then as an retailer you would certainly want to know how your product is performing online and the factors that are affecting its sale. And to know this, you need to collect data that…
I am very much intrigued by the Customer Loyalty programs I observe across eCommerce sites I encounter. Indeed they are very much common place and have become a tried and tested tool to drive loyalty. What makes a marketing campaign…
Making an appropriate choice between mobile websites and mobile apps is dependent on a simple factor – your business objective. For a business, where the prime goal is to acquire mobile traffic, a mobile website would suffice. However, in scenarios…
A typical consumer today uses multiple devices to surf the web and interact in many ways with your eCommerce business. For most stores, maximizing conversion and increasing order size in this environment is not only an enormous challenge, but also…
As data analytics consulting firm, we think we are fortunate that we keep finding problems to find. Recently my team mate found a glaring problem of not having any connector for R with Google. With the inspiration from Michael, Ajay…
After development of predictive model for transactional product revenue -(Product revenue prediction with R – part 1), we can further improvise the model prediction by modifications in the model. In this post, we will see what are the steps required…
After development and improvement of predictive model with R (as in the previous blog), I have focused here about making a prediction with the R model ( linear regression model ) and comparison with the Google prediction API model. In…
by 57% with 
