Each visitor is unique and needs special treatment. We do this with the help of our real time predictive personalization technology.
With predictive personalization, our mission is to maximize the value both for you; the site owner and for your visitors. During the time a visitor spends on your site, he leaves some tracks. They browse through different sorts of pages, view several types of content. We track and analyze these behaviors in real time to personalize content that will be shown to your visitors.
A visitor may start searching for a product on desktop then continue the same search on her tablet.
When we need to predict this user’s next behavior, we analyze her behaviors on both web and mobile to come up with a harmonious offering for her.
An e-mail you send can easily be inspiring for your users if it’s targeted and includes some personalized content.
We use our real-time predictive personalization technology not only on web and mobile but also on e-mails you send. The magic happens not when the e-mail is sent but when the user opens the e-mail. That helps us provide the real time content for that user.
Our technology allows us to work with any e-mail service provider you choose.
Consumer needs and trends change.
That’s why your visitors browse differently every time they visit your website.
Huge and permanent macro-segments containing thousands of people do not always reveal the ever changing behaviors of your visitors. That is where we come in! We segment your visitors in real time forming thousands of micro-segments. That’s how we can capture behavioral changes in real time and come up with personalized recommendations that will suit the needs of your visitors.
We all need a good friend’s advice whether it be for shopping or for discovering interesting content.
Friends and similar consumers have always been the best source of advice for us. We wanted to keep that notion of ‘friendly advice’ while we were developing our unique predictive personalization technology. That’s how we do it; we find similar visitors on your website, match them with our ground-breaking algorithm. While a visitor is browsing, he sees the most relevant recommendations that our algorithm has just brought out from the preferences of the similar visitors.
If you were a store employee, would you recommend a pair of skinny jeans to a 70 year-old lady while she’s walking down the bakery line! No, you wouldn’t! Neither do we
Visitors browse through websites just as they would roam in a supermarket. They have a certain reason for visiting different pages of your site. Our job is to predict what she’s looking for on that page and then choose the most relevant content for her. For that reason we analyze the visitor behavior on different pages and do our best to understand the context of that visit; is she just window shopping or does she have a real intention to buy.
We know that you’re busy so we want to make your life easier.
Imagine a service that takes months to integrate, sleepless nights for the IT team, pizza delivery guy who becomes your best friend. Now open your eyes and relax because that’s just a nightmare if you work with us. We have created such a smooth integration process that you only need to copy and paste a few snippets of code to your site and then wait for the magic of predictive personalization to happen.
We all know that today’s consumer is capable of optimizing his usage of different gadgets. If he’s using multi screen, then we need to recognize his behavior on each medium he uses.
The visitor is always the same when he visits your web site, your mobile app or opens one of your e-mails. With our matching technology, we are able to determine the user regardless of the screen he uses. That is how we are able to offer a seamless predictive personalization experience among web, mobile and e-mail.
Conversion rates tell us that nearly 98% of online shop visits end up with no purchase. We can guess that the shopper is a) window shopping b) making price comparison c) cannot find what she’s looking for.
Our job is to convince them to buy something! Showing the shopper similar alternatives of the product she’s visiting is a great way to ensure that she finds the right product at the right price point.
Let’s admit; how many times have you entered a store having a few products on your shopping list and then find your basket full of products that you haven’t thought of buying? That’s called the art of selling! Whether an online or an offline retailer, you need to be able to motivate your shoppers to buy more.
Here, our cross sell recommendations come on stage! We dynamically capture cross category cart behavior on your shop and lead your shoppers to frequently bought-together type of categories.
The context of the visit is often ignored; luckily that’s not us! We understand the visitor’s context or in other words ‘intention to visit’ and greet her with personalized recommendations on the homepage.
Category or product listing pages are like shop windows; attractive but a bit caotic. Predicting what a visitor may want to buy when he’s on a category page is both an art and a science. With our predictive personalization approach, we try to foresee what he’s going to purchase and show him personalized recommendations.
If a visitor has landed on a product detail page, then we can assume that she already has something on her mind. We understand what kind of a page she’s visiting and we show her personalized product recommendations from that specific category.
The shopper has successfully given her order and is about to leave. Why not make her stick to your shop with personalized recommendations? Given her purchase and browsing history, we can predict what she’s going to like and show her personalized cross sell recommendations
Search on online sites do not always yield results. Still; this page is important for the online retailer as that user is likely to convert if he is treated well. Showing personalized recommendations is a great way to motivate the visitor to browse through other pages even if his search was not successful.
When the visitor is on the cart page with only one product in his shopping cart, it’s likely that he has forgotten to buy an item he really needs. Why not show him the way with our personalized cross sell recommendations? It’s just like putting a pack of candies in your trolley while you’re at the cashier
I have met Perzonalization on their very first demo day and have been following their success for a long time. As a leading fashion retailer in Turkey with more than 3000 as SKU's, Mavi's expectations were very high from a recommendation engine. They have not only met our expectations as a service but also demonstrate a very good collaboration with our team. Very solution oriented and agile company. I am glad, we are working with them.
Maintaining relevant recommendations on the thousand of products on our website seemed like a daunting task, that is until we met with the pleasant, knowledgable and energetic Perzonalization team. We are happy to be with them and with the results their software produces for us.
Mavi JeansE-commerce Manager
BimeksExec. Board Member
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