Trbo

Content personalization

Dynamically adapt the content and structure of your website to the interests of your users. This ensures that every user always receives exactly those offers that perfectly match his interests. All page elements can be adapted or exchanged in real time via trbo.

Recommendations

Customers buy where they feel well advised. Make your website a personal shopping assistant with trbo. On the basis of machine learning, individual product recommendations are issued according to the respective point of contact and profile of your users. Always at the right place, at the right time with the perfect offer.

Lead generation

Increase the number of newsletter subscribers by applying newsletter layers using the trbo platform.

NPS & User Surveys

Improve customer loyalty by conducting user surveys on your website. Whether NPS scoring or (multi-page) surveys – trbo allows the easy implementation of a wide variety of survey options.

Group motivation & Sharing

Create trust by providing information to other users or buyer groups. Simplify the shopping experience of your users by displaying social share buttons via trbo. They encourage users to share offers directly with other users.

Promotions & Gamification

Create individual incitements to purchase. With trbo, you can implement specific thematic promotions and prize games on your website in an entertaining way. By this means, customer interaction as well as satisfaction can be increased.

Reduce Bounces

Lower the bounce rate on your website by playing out targeted trbo layers. Whether special adaptations for users of Google Shopping Ads or incentives to purchase with Exit Intent – we certainly have the right solution for you.

Dynamic Segments

Users can be divided into (dynamic) segments according to their interests, preferences or surfing behavior on the website. This enables a focused approach to the user. Dynamic segments are formed in real time and enable a targeted and personalized user approach.

A/B Testing

Keep track of the success of your measures. On the trbo platform, you can implement simple A/B-tests as well as comprehensive multivariant tests quickly and easily. This allows you to keep an eye on your campaigns at all times and optimize them on an ongoing basis.

Geo & Weather Data

The integration of geo and weather data allows the release of relevant recommendations as well as the personalization of website content. For example, regional offers or suitable offers in correspondence with the current weather can be displayed at the user’s location.

Machine Learning

The self-learning trbo algorithm analyzes over 50 different user characteristics in real time. These include, for example, the click-in channel, surfing behavior, purchase history and local weather. This data is analyzed dynamically dividing users into segments and addressing them with the appropriate measures.

Click-in channels

The origin of a user already says a lot about him. Does he come from a price comparison portal and is, therefore, very price-sensitive, or is he a product expert looking for a more detailed description of the product? If you know your users, you can address them in a much more targeted way and increase user commitment.

Big Data

The use of Big Data enables a positive shopping experience, as the website visitor receives the right purchase incentives during his onsite journey. Fully automatic, target group specific and in real time!

External Data Sources

The open technical architecture of the trbo platform makes it easy to connect external data sources. Be it the common tag managers, analytics functions, newsletter providers, search solutions or customer data platforms – external data sources enable the best personalization and optimization.

Shop Platform Agnostic

Both the integration and all functions of the trbo platform are shop platform independent. All common shop systems can be easily connected through the open interfaces of our platform – so you don’t have to do without any feature.

Product Logics

In order to deliver precisely fitting recommendations, suitable product logics must be stored in the Recommendation Engine. For example, a sophisticated algorithm uses “Recommended Products” to select products based on surfing behavior, statistical twins and sales.

TRIGGER (EXIT, INACTIVITY, SCROLL)

With trbo it is possible to store different triggers and to decide when certain measures are released, in order to find the right user address at exactly the right moment. The user is not harassed, but informed in a well-dosed manner.