Comments on: 5 Website Personalization Myths

By: Paul

Paul — Mon, 07 Mar 2016 17:28:58 +0000

We built our own solution developing a predictive analytics backend to our ecommerce empire! It worked so well we have released it commercially. PredictionPixel.com is the easiest & cheapest way to real time personalisation for ecommerce available today.

By: Jasper

Jasper — Tue, 01 Sep 2015 06:43:50 +0000

Myth 1: “Personalization is too time-consuming / expensive” and Myth 2: “Personalization sounds complicated – I don’t know where to begin”, these are the things I always heard. This is so true. But nowadays, there are tools available on the internet that we can use. We should just be resourceful.

By: Michael Mokhberi - CEO of APPTUS

Michael Mokhberi - CEO of APPTUS — Thu, 27 Aug 2015 16:26:50 +0000

Great article, Stephen. I am glad you brought up the topic of segmentation. Would love to hear your thoughts on the details of that. As Annabel pointed out below, we have many customers who choose Apptus personalization software to solve the challenges they have with transitioing their “segmentation process” from their old marketing machine to digital channels. The basic problem that needs to be solved is that in digital interactions customers are not as keen to be “segmented” as they are in offline interactions. Our experience is, that regardless of how one statically segment them, they insist on NOT staying in the box you put them 🙂
In online interactions, customers expect relevance in all aspects of the interactions they have during the sales cycle. Knowing the gender, age, location (or other typical segmentation attributes traditionally used for targeting offline messages/offerings) is suddenly not enough. For example, even though we know the visitor is a woman, we still need to take the context of her realtime actions in consideration in order to be relevant – she might be shopping for her husband. Or her cat. So manual segmentation takes you a bit, but not all the way. We need to close the loop between behavioral data and segmentation rules so the system gathering all the behavioral data also is capable of automatically identifying import segments and perform “self-segmentation” (create and dissolve segments) in an automated and self-optimized way. Otherwise, one will only end up with a high stack of “segmentation rules” to manage that consistenly gets obsolete because of changes in seasons, assortments, and changes in users personal preferences and biographics. Would love to hear other peoples experiences from trying to approach personalization through “Manual/static segmentation” in an environment with multiple markets, multiple channels and seasonality in the business (changes in the assortment for different seasons).

By: Annabel Paton

Annabel Paton — Thu, 27 Aug 2015 10:03:02 +0000

Nice post, Stephen. We often get customers saying ‘I don’t know where to begin’ and your tip stating ‘A few simple segments is all that’s needed to get results to begin with’ is definitely a great start.

We often highlight how important it is to find a system that uses cluster analysis to automatically discover hidden behaviours on your site. A few simple segments is good to begin with but as the data grows these hidden segments are key to delivering a truly personalised experience.

By: Andy Zimmerman

Andy Zimmerman — Thu, 18 Sep 2014 21:29:00 +0000

Great article, Stephen! Thanks for highlighting Evergage as a solution for B2B! We’ve got lots of B2C eComm clients too like Rue La La and Wayfair.