Dynamic personalization based on real-time data

Use trbo’s onsite personalization platform to address customers individually and personally in real time! Connect personalization, recommendations, A/B/n-testing, and much more in the solution of the German market leader.

Simply onsite. realtime. smart.

Dynamische Personalisierung auf Basis von Echtzeit-Daten
 
limango
L'Oréal
Ströer

Key Features

Overview of our Features

Content Personalization
Recommendations
Lead Generation
NPS & User Surveys
Group Motivation & Sharing
Promotions & Gamification
Reduce Bounces

Touchpoints

Used in this example

Dynamic Segments
Dynamic Segments
A/B- & Multivariant Tests
A/B- & Multivariant Tests
Geo- & Weather-Data
Geo- & Weather-Data
Machine Learning
Machine Learning
Click-In Channels
Click-In Channels
Big Data
Big Data
External Data Sources
External Data Sources
Shop Platform Agnostic
Shop Platform Agnostic
Product Logics
Product Logics
Trigger (Exit, Inactivity, Scroll)
Trigger (Exit, Inactivity, Scroll)

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 the offers that perfectly match their 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 played out 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 playing out 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 - with trbo you can easily implement 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. Those help users share offers directly with other users.

Promotions & Gamification

Create individual incentives and motivation. With trbo, you can implement issue-specific promotions and prize games on your website in an entertaining way. In this way, customer interaction and 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 motivations to buy 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- & Multivariant Tests

Maintain an overview 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

Through the integration of geo and weather data, relevant recommendations can be played out and the website content can be personalized. For example, regional offers or suitable offers matching 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, the users are divided into segments and addressed 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 incentives to buy during his onsite journey. Fully automated, tailored to your target group 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.licht.

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 play out 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, different triggers can be stored, to decide when certain measures are played out, in order to find the right user address exactly at the right moment. The user is not bothered, but informed in a well-dosed manner.

Content Personalization

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 the offers that perfectly match their interests. All page elements can be adapted or exchanged in real time via trbo.

Touchpoints

Used in this example

Dynamic Segments
Dynamic Segments
Geo- & Weather-Data
Geo- & Weather-Data
Machine Learning
Machine Learning
Click-In Channels
Click-In Channels
Big Data
Big Data

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.

Geo- & Weather-Data

Through the integration of geo and weather data, relevant recommendations can be played out and the website content can be personalized. For example, regional offers or suitable offers matching 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, the users are divided into segments and addressed 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 incentives to buy during his onsite journey. Fully automated, tailored to your target group and in real time!

Recommendations

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 played out 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.

Touchpoints

Used in this example

Machine Learning
Machine Learning
External Data Sources
External Data Sources
Shop Platform Agnostic
Shop Platform Agnostic
Product Logics
Product Logics

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, the users are divided into segments and addressed with the appropriate measures.

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.licht.

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 play out 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.

Lead Generation

Lead Generation

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

Touchpoints

Used in this example

A/B- & Multivariant Tests
A/B- & Multivariant Tests
External Data Sources
External Data Sources
Trigger (Exit, Inactivity, Scroll)
Trigger (Exit, Inactivity, Scroll)

A/B- & Multivariant Tests

Maintain an overview 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.

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.licht.

Trigger (Exit, Inactivity, Scroll)

With trbo, different triggers can be stored, to decide when certain measures are played out, in order to find the right user address exactly at the right moment. The user is not bothered, but informed in a well-dosed manner.

NPS & User Surveys

NPS & User Surveys

Improve customer loyalty by conducting user surveys on your website. Whether NPS scoring or (multi-page) surveys - with trbo you can easily implement a wide variety of survey options.

Touchpoints

Used in this example

Dynamic Segments
Dynamic Segments
Big Data
Big Data
Shop Platform Agnostic
Shop Platform Agnostic

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.

Big Data

The use of Big Data enables a positive shopping experience, as the website visitor receives the right incentives to buy during his onsite journey. Fully automated, tailored to your target group and in real time!

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.

Group Motivation & Sharing

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. Those help users share offers directly with other users.

Touchpoints

Used in this example

A/B- & Multivariant Tests
A/B- & Multivariant Tests
Machine Learning
Machine Learning
Big Data
Big Data

A/B- & Multivariant Tests

Maintain an overview 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.

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, the users are divided into segments and addressed with the appropriate measures.

Big Data

The use of Big Data enables a positive shopping experience, as the website visitor receives the right incentives to buy during his onsite journey. Fully automated, tailored to your target group and in real time!

Promotions & Gamification

Promotions & Gamification

Create individual incentives and motivation. With trbo, you can implement issue-specific promotions and prize games on your website in an entertaining way. In this way, customer interaction and satisfaction can be increased.

Touchpoints

Used in this example

Dynamic Segments
Dynamic Segments
Geo- & Weather-Data
Geo- & Weather-Data
Click-In Channels
Click-In Channels
Trigger (Exit, Inactivity, Scroll)
Trigger (Exit, Inactivity, Scroll)

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.

Geo- & Weather-Data

Through the integration of geo and weather data, relevant recommendations can be played out and the website content can be personalized. For example, regional offers or suitable offers matching the current weather can be displayed at the user's location.

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.

Trigger (Exit, Inactivity, Scroll)

With trbo, different triggers can be stored, to decide when certain measures are played out, in order to find the right user address exactly at the right moment. The user is not bothered, but informed in a well-dosed manner.

Reduce Bounces

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 motivations to buy with Exit Intent - we certainly have the right solution for you.

Touchpoints

Used in this example

A/B- & Multivariant Tests
A/B- & Multivariant Tests
Shop Platform Agnostic
Shop Platform Agnostic
Product Logics
Product Logics
Trigger (Exit, Inactivity, Scroll)
Trigger (Exit, Inactivity, Scroll)

A/B- & Multivariant Tests

Maintain an overview 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.

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 play out 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, different triggers can be stored, to decide when certain measures are played out, in order to find the right user address exactly at the right moment. The user is not bothered, but informed in a well-dosed manner.

Customers trust trbo

With trbo we are much closer to our customers than before. The trbo-dashboard provides a quick overview of how the main KPIs of the individual campaigns run. Within a short timeframe, we are able to find out whether our users accept an action or not. Thus, we live the motto "Customer at our heart", because ultimately the customer decides what he likes.

Lisa Schäfer

Head of Portal Management, Thomas Cook

In addition to numerous promotions, we also use trbo to increase our customers' shopping baskets. The incentive for this is created, for example, by targeted trbo layers showing free additions above a defined minimum order value. If, for example, the availability of the additions changes, we can adapt this action individually. With a few clicks, a new layer version is created. The results speak for themselves: whenever we implement actions, the average shopping basket value of our customers increases.

Nicole Bard

Digital Director Corporate, L'Oreal

We have created a special entry via trbo for all visitors who come to our shop via Google Shopping ads. In the past the bounce rate here was quite high - if the user didn't find the right product right away, he went back to Google search. Because we can now display the corresponding category page in the background of the actual product, the user often still finds a suitable product and the expensive click was not for nothing! This enabled us to reduce the bounce rate by approx. 9.5 percent! And still we observe the Google Policy 100 percent.

Roland Baran

Online Marketing Manager, ROSE Bikes GmbH

Why use trbo?

With smart purchasing incentives from trbo, visitors become customers. Offer each user a personalized shopping experience and optimize the turnover of your web shop.

Create sustainable and measurable added value with trbo!

9,5%

Lower Bounce Rate

Rose Bikes
23%

Increase in User Value

Galeria Kaufhof
30%

Increase in Conversion Rate

L’ORÉAL
41%

Increase in Conversion Value

Thomas Cook

trbo GmbH
Leopoldstr. 41 | 80802 Munich, Germany
+49 (0) 89 55 05 36 20 | info@trbo.com

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