Customizing e-commerce like Amazon is the desire of many e-commerce managers. It is no secret that the personalization has been a major key to the success of this retail giant (it is worth several billion and is estimated to be the carrier of at least 33 percent of total sales).
Amazon is a benchmark for e-commerce companies investing in product recommendation. Where did they start from to design their user experience? First, from a fundamental customer experience assumption: people do not want to waste time, so they need to be helped to find what they are looking for quickly, and they need to be supported in their purchase decision. The classic motto of web usability is. Don’t make me think and they get it right!
This famous phrase by Jeff Bezos sums up the whole point of why it is essential to personalize the navigation of an e-commerce business:
“We don’t make money when we sell things. We make money when we help customers make purchase decisions.”
“We don’t get rich when we sell products, but when we help customers make decisions.”
Jeff Bezos
The second strategic point, which descends from the first, involves using big data for this purpose. Getting into people’s heads is difficult, expensive, and has a high margin for error. But since we have the data…let’s use it! The good news today is that Blendee thanks to its artificial intelligence system–based on 12 algorithms–can personalize your e-commerce like Amazon, creating a truly unique experience for your users. Blendee allows you to personalize not only all navigation, but also all interactions such as behavioral messages, emails, facebook ads, etc…
Let’s see together what this is all about, starting right from the world’s most famous e-commerce. Here is the list of Amazon’s customizations:
Similar to products you have already seen > takes into account browsing history.
Shopping tips in… > takes into account my browsing by grouping by merchandise category.
Recommended based on your wishlist > takes the wishlist into account by offering related products.
Often bought together > takes into account the order history of all users.
Blendee ‘s artificial intelligence system can reproduce the same experience by basing personalization on:
- order history
- navigation history
- contextual navigation
- Retargeting on newly viewed or abandoned products in the shopping cart
- similar users > membership of a user in a certain segment
This is precisely why our technology is a unique solution in Europe: correlation of products should not and cannot be done by hand by any e-commerce company. The evidence is at hand. Did you know that dads buy diapers along with beers? How could a marketer envision a personalized experience for each target audience without the use of data? Finding meaningful correlations within the immensity of big data is a job that must be left toartificial intelligence. Blendee is able to understand what is the best connection between your catalog products starting from the user and taking into account all the information available. That is why we can say it is a predictive marketing platform. Not only that, it can do this by autonomously choosing the right channel, not only on the website, but also in email marketing, social, and the physical store. Personalizing e-commerce like Amazon is no longer a dream. It can be done. Want to give it a try? Request a demo!
