In our post “Adaption of Personalization Rules – Pros and Cons” we‘ve mentioned the general pros and cons of adapting personalization rules. Our general recommendation is to let your personalization solution like Recolize do its job and use the personalized algorithms to suggest your products. But we totally understand, that there are occasions when an adaption is absolutely reasonable and needed. Here are 7 reasons to adapt your personalization rules.
Michael7 Reasons to Adapt Your Personalization Rules
Offering personalized recommendations in emails can be a great way to guide your customers back to your website. Many online shops are using this method to attract their customers after a purchase. And also at other contact points.
Find out 5 advantages of offering personalized recommendations in transactional emails.
Michael5 Advantages of Recommendations in Transactional Emails
Constantly we are asked if the use of a personalization solution or Recommendation Engine makes sense at all. Background of this question mostly is half knowledge from different articles or personal contacts. Personalization was known as complex and reserved for big companies. But can you also use personalization successfully?
Michael5 Ways How To Use Personalization Successfully
Over and over again we get asked if an adaption of personalization rules is possible and does make sense. Especially the point of this meaningfulness is not answerable across-the-board and strongly depends on the context.
In this article you can find some reasons pro and con the adaption of personalization rules.
MichaelAdaption of Personalization Rules – Pros and Cons
Personalization techniques are trending these days and experts predict, that businesses will increase their profit by up to 15 % in a few years with the help of smart personalization. So let us take a short, highly subjective look into the near future of how personalization will look like in 2025.
In lots of articles on the web about recommendation engines the terms Personalization and Recommendations are used equivalent whereas they are definitely not.
This blog post will shed some light on the difference between recommendations and personalization and how to distinguish both.
ChrisThe Difference Between Recommendations and Personalization
Building an Alexa Skill is very easy if you combine it with Recolize personalized product recommendations. In the following I will describe the required steps and during the course of this blog post we will develop a sample skill that you can use as a starting point for your individual skill. The sample skill is available on our Github account.
We will create a so-called Custom Alexa Skill that will be able to simply answer the question “Alexa, open Recolize and ask what can you recommend to me today?” or “Alexa, open Recolize and ask what is the recommendation for today?“.
Therefore we need the Skill definition and additionally a AWS Lambda function that will trigger our Recolize recommendation API. The beauty of AWS Lambda is that you do not need to provision any servers but the so-called serverless framework will only be active if someone asks Alexa to trigger your skill. For more information on AWS Lambda functions see the official documentation.
We use the official Ask CLI commands to easily deploy both the skill itself as well as the Lambda function that will call the Recolize API.
ChrisHow to Build an Alexa Skill for your Online Shop with Recolize in 15 Minutes?