Use trbo’s onsite personalization platform to address customers individually and personally in real time! Connect personalization, recommendations, A/B/n-testing, and many other features in the solution of the German market leader.
Simply onsite. realtime. smart.
Used in this example
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.
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.
Increase the number of newsletter subscribers by applying newsletter layers using the trbo platform.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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!
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.
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.
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.
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.
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.
Used in this example
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.
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.
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.
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.
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!
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.
Used in this example
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.
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.
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.
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.
Increase the number of newsletter subscribers by applying newsletter layers using the trbo platform.
Used in this example
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.
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.
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.
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.
Used in this example
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.
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!
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.
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.
Used in this example
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.
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.
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!
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.
Used in this example
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.
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.
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.
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.
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.
Used in this example
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.
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.
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.
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.
Gain valuable information and create deeply personalized experiences on the website with a holistic database and a 360-degree view of the customer by enriching your customer and user data. The simple integration and associated enhancement of existing behavioral and purchase data enables you to target your customers even more precisely. It is also possible to transfer data records to connected interfaces for their data enrichment.
Turn visitors into customers with trbo’s smart purchasing incentives. Offer each user a personalized shopping experience and optimize the turnover of your web shop.
Create sustainable and measurable added value with trbo!
