Situationalization at

The beauty platfom was looking for a recommendation solution that suggets most suitable products to each single user and their current situation. For this, the company relies on situational recommendations by ODOSCOPE.

sales increase


Uplift in CX

About asambeauty

In the course of digitalization and expansion, the traditional company asambeauty has already reinvented itself several times. Today the company offers on its online platform a varied selection of high-quality beauty articles exclusively from its own brands: a dream world of more than 500 products for every age and care need.


Since its expansion, asambeauty has been presenting a dream world with over 500 high-quality beauty articles exclusively from its own brands in its online shop. In order to guide customers through the new product jungle, the beauty platform relies on the recommendation of possibly suitable products - on the product detail page, in the add to basket page and in the shopping basket. Based on the interests of historical customers who had viewed or bought similar products to the current user, these were played out by a classic RECO tool before the project began.

However, this meant that they were of little relevance to many visitors because their actual interests and preferences can differ greatly from those of the comparison group, so they were often ignored. The beauty platform was therefore looking for a solution to display the most relevant products to each individual user and their respective shopping situation.


For this, asambeauty relies on the next generation of recommendations: situation-related recommendations by ODOSCOPE. This approach enables the beauty platform to tailor product suggestions to the individual needs and current shopping situation of each user.

These are determined with the help of an Operational Intelligence Platform (SaaS) based on the surfing behavior of historical users who resemble the current visitor both in terms of personal interests (e.g. skin, hair or body care) and situational features (e.g. Sunday evening on the couch with the tablet via Instagram vs. Thursday morning with Google‘s desktop PC).

Thus, they correspond with much higher probability to the desires of the current shoppers who are accompanied on their customer journey with individually relevant contents and are highly personally advised. In order to be able to reliably evaluate the success of the project, the situation rationalization solution was first tested against‘s previous RECO tool in a 4-month test phase.

Thanks to the easy integration via JavaScript, the optimization could start directly from day 1.

The enormous uplifts convinced us to replace our classic RECO completely with ODOSCOPE.


Compared to conventional RECO methods, situationalization works much more precisely and makes both personal and situational data available. users can thus directly find the most suitable products for them and are tempted to make spontaneous purchases thanks to inspiring suggestions. Since that situation data is available even from first-time visitors and anonymous users, even they receive situation-related recommendations - already before the first click and absolutely GDPR-compliant.

For asambeauty, this means significantly increased shopping basket values and turnover: situationalized recommendations on the product detail page already ensured an uplift of the purchased products and the profit per visit of around 4% during the test phase. For tablet users, sales were increased by 11%. Due to the outstanding performance, asambeauty rolled out the situationalization solution for the entire shop after testing, so that the previous RECO tool could be completely replaced. For this purpose, ODOSCOPE was integrated on the server side via a REST-API.

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We were actually quite satisfied with our previous RECO. But ODOSCOPE has added another shovel with its situational recommendations. The enormous uplifts convinced us to replace our classic RECO completely with ODOSCOPE.

Sarah Schwart

Manager Projects E-Com

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Frequently Asked Questions

Find answers to common questions about our platform and services.

What is ODOSCOPE about?

ODOSCOPE helps ecommerce retailers sell their goods in a targeted and profitable way through future-proof, scalable personalization and AI-powered merchandising. We provide a privacy-compliant customer engagement platform for managing all digital sales channels, enabling business users to analyze and profitably leverage user, customer and market data. Based on user-centric, automated, real-time decisions, we enable our clients to show the right content at the right time in the right way to each individual online user - whether known, anonymous or not yet recognized.

I get 2 in 1: Scalable personalization and AI-powered merchandising? 

Yes, because we want to give you the best of both worlds.

Scalable personalization is entirely data-driven. It is highly accurate and lightning fast. It intelligently combines knowledge from multiple digital touchpoints and is fully automated. Scalable personalization easily enables any number of playout variants based on high-dimensional prescriptive analytics.

With Merchandising, you can actively contribute your knowledge and experience: you can control which products are promoted or penalized based on margins or out-of-stocks. All playout scenarios remain purely data-driven and user-specific. This allows you to make targeted sales while taking into account campaign goals or promotional surcharges. Often there are multiple factors at play.

How is ODOSCOPE implemented?

We offer plugins for Shopware, Shopify and Salesforce for quick and easy integration into a shop system (as of Q1, 2024). Otherwise ODOSCOPE is integrated into the store system via REST API. The integration is thoroughly documented and closely monitored by our reliable Customer Success Team.

How can I reach ODOSCOPE as a customer?

Each of our customers is in close contact with a dedicated account manager and representative from our Customer Success team. Personal contacts are always available via email or a customer-specific Slack or Teams channel.

What is the pricing model?

An ODOSCOPE license is essentially calculated based on the traffic volume of an online shop per year (sessions per year in 1 million steps). Another factor is the number of AI modules used for the various onsite personalization activities like product list sorting, search result sorting, recommendations, mailings, adaptive ads etc.

Can I cancel my subscription?

We want all customers to be happy and satisfied with our solution and services, of course. However, if a customer decides to end the contract, the contractually agreed notice period applies. In general, an annual license will be renewed for another year unless it is cancelled in writing with 3 months notice to the end of the contract.