Personalization

Your Recommendation Engine. Accurate. Personalized.

From initial impulse to purchase: DYMATRIX Personalization delivers relevant recommendations in real time based on customer behavior — on websites, in shops, in apps, and in e-mails. Customers see exactly what interests them at that moment. GDPR-compliant

Individuelle Anpassung von Inhalten, Angeboten und Ansprache an einzelne Kunden

Make Recommendations — Customer-centric.

USP 1

Personal. Accurate.

Create seamless, consistent customer experiences through personalized recommendations across all online channels.

USP 1

Recommendations. Impact.

Significantly increase sales and conversion rates with intelligent product and content recommendations at the right time.

USP 1

Reliable. Scalable.

The Recommendation Engine processes thousands of products with high performance and reliability, even during traffic peaks.

USP 1

Think Ahead. Smart.

AI-powered predictions based on behavior and purchases reduce waste coverage and increase the relevance of each recommendation.

You Communicate – Personally.

USP 1

Consistent. Everywhere.

Configure once, use everywhere: Utilize recommendations at all digital touchpoints. No double maintenance required.

USP 1

Now. Relevant.

Recommendations adapt in real time to customer profiles, click and purchase behavior — for highly relevant content.

USP 1

Easy. Flexible.

Use the rule editor to implement even complex recommendation logic such as “Complete the Look” without any IT support.

USP 1

Fast. Automated.

Set it up once, and it's permanently automated: the engine delivers suitable recommendations — even for large product ranges.

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Recommendation Engine

Every Click Becomes a Relevant Recommendation

No consent? No problem. The Basic Recommendation Engine personalizes your website, shop, and app via cookie-free real-time tracking. Product-to-product recommendations are based on anonymous behavioral signals from the session. Fully GDPR compliant.
Recommendation-Logik: Ein Produkt generiert über Regeln zwei Empfehlungen – Farbalternativen & Outfit-Ergänzungen.

Define Rules

In the intuitive rule editor, you can map out all recommendation scenarios step by step. Specify which content appears in which context—for example, whether a women's category is followed only by women's products or whether a complete look is recommended. Filters enable simple and complex rules, including those based on current visitor behavior. Overarching rules increase context-based precision and automatically select the appropriate logic: for example, bundle offers for inexpensive items, stylish additions for luxury products. This way, you always hit the mark.

 

Anreicherung von Kundenprofilen durch zusätzliche Attribute und Informationen

Using Widgets and Use Cases

Widgets allow you to control where recommendations are displayed: on the home page, product pages, in the app, newsletter, or shopping cart. Each widget can be customized individually: layout, position, number of tiles, and recommendation logic. 
Predefined use cases such as “Matches shopping cart” or “Viewed together” help you get started faster. Not sure what works best? Use A/B testing to test two sets of rules against each other in the same widget. This helps you understand users better and rely on the recommendation that performs best.

 

Übersicht und Verwaltung von Produktkatalogen sowie zugehörigen Listen für Marketingkampagnen

Control Recommendations via Dynamic Lists

The catalog contains all data objects that can be used for recommendations: products, visuals (e.g., banners, teasers), and lists. Dynamic lists such as “Bestsellers” or “New Arrivals” are created automatically based on your filters. Fixed lists, such as campaign highlights, are maintained editorially.
What makes this special is that every personalization logic, such as “Show this only to athletes,” can be applied to every content type. This allows you to personalize your website, app, shop, and email consistently and seamlessly.

Zentrale Übersicht mit KPIs, Analysen und Performance-Einblicken zu Kampagnen und Zielgruppen

Gain Insights from Dashboards

The dashboard gives you a live overview of how your personalization is performing: track click and purchase rates, conversions, sales, clicked and purchased recommendations, and the performance of individual rule sets. A/B tests can be compared directly and show which logic has the greatest effect. This allows you to optimize your customer experience based on data and immediately identify which recommendations really add value.

Recommendation-Logik: Ein Produkt generiert über Regeln zwei Empfehlungen – Farbalternativen & Outfit-Ergänzungen.

Define Rules

In the intuitive rule editor, you can map out all recommendation scenarios step by step. Specify which content appears in which context—for example, whether a women's category is followed only by women's products or whether a complete look is recommended. Filters enable simple and complex rules, including those based on current visitor behavior. Overarching rules increase context-based precision and automatically select the appropriate logic: for example, bundle offers for inexpensive items, stylish additions for luxury products. This way, you always hit the mark.

 

Anreicherung von Kundenprofilen durch zusätzliche Attribute und Informationen

Using Widgets and Use Cases

Widgets allow you to control where recommendations are displayed: on the home page, product pages, in the app, newsletter, or shopping cart. Each widget can be customized individually: layout, position, number of tiles, and recommendation logic. 
Predefined use cases such as “Matches shopping cart” or “Viewed together” help you get started faster. Not sure what works best? Use A/B testing to test two sets of rules against each other in the same widget. This helps you understand users better and rely on the recommendation that performs best.

 

Übersicht und Verwaltung von Produktkatalogen sowie zugehörigen Listen für Marketingkampagnen

Control Recommendations via Dynamic Lists

The catalog contains all data objects that can be used for recommendations: products, visuals (e.g., banners, teasers), and lists. Dynamic lists such as “Bestsellers” or “New Arrivals” are created automatically based on your filters. Fixed lists, such as campaign highlights, are maintained editorially.
What makes this special is that every personalization logic, such as “Show this only to athletes,” can be applied to every content type. This allows you to personalize your website, app, shop, and email consistently and seamlessly.

Zentrale Übersicht mit KPIs, Analysen und Performance-Einblicken zu Kampagnen und Zielgruppen

Gain Insights from Dashboards

The dashboard gives you a live overview of how your personalization is performing: track click and purchase rates, conversions, sales, clicked and purchased recommendations, and the performance of individual rule sets. A/B tests can be compared directly and show which logic has the greatest effect. This allows you to optimize your customer experience based on data and immediately identify which recommendations really add value.

Advanced Recommendation Engine

Every Recommendation Is Personalized in Real Time

Now it's getting personal: Use the Advanced Recommendation Engine to deliver hyper-personalized real-time recommendations based on behavioral and profile data. This ensures that every customer receives exactly the offers that are relevant to them.
Schema der Datenverknüpfung: Kombination aus User-Verhalten und Profil-Infos für individuelle Shop-Empfehlungen.

Link Behavioral Data With Profile Data

The Advanced Recommendation Engine adds a crucial layer to your personalization: profile data. Combined with behavioral data, you can deliver recommendations that are truly individualized.
You can not only flexibly create profile characteristics such as favorite brands, colors, or categories, or transfer them from the DYMATRIX CDP, but also use them directly for rules. For example, show gold customers interested in “smart homes” smart lamps directly on the home page. This creates 1:1 real-time personalization that goes beyond classic product-to-product logic.ausgeht.

Aufteilung von Kunden in Zielgruppen anhand von Merkmalen, Verhalten oder Interessen

Segmentation for Personalized Offers


With audience segmentation, you can easily assign customer profiles to target groups — for example, “men's fashion,” “outdoor enthusiasts,” or “dog owners.” You can use these segments immediately for personalized widgets and recommendations.
For example, dog owners automatically see the current promotion for dog leashes on the home page, while other visitors see general content such as bestsellers instead. You deliver relevant offers to each target group without any additional effort in your daily business. More relevant for customers, more efficient for you.

KI-gestützte Empfehlungen zur personalisierten Ausspielung relevanter Produkte und Inhalte

Real-Time AI Recommendations

The AI of the Advanced Recommendation Engine reads between the clicks. It combines historical behavior, current sessions, and — if available — profile data to generate precise recommendations in real time. With login, it uses complete profiles across all devices. Without login, it works with patterns of similar visits. This way, each person receives the right inspiration, from alternative products to upselling offers

Funktionen zur Einhaltung von Datenschutz, Einwilligungen und sicheren Umgang mit Kundendaten

Security Through Privacy Protection

With privacy protection, you can manage consent just as specifically as recommendations. Simply design your consent banner in line with your CI in an editor. Here you can also describe to users what cookies are used for on your site. In the Privacy Viewer, you can see how many users have agreed or declined. This protects you against legal risks in web analysis, optimizes your consent rate, and at the same time optimizes your database for the best recommendations.

Schema der Datenverknüpfung: Kombination aus User-Verhalten und Profil-Infos für individuelle Shop-Empfehlungen.

Link Behavioral Data With Profile Data

The Advanced Recommendation Engine adds a crucial layer to your personalization: profile data. Combined with behavioral data, you can deliver recommendations that are truly individualized.
You can not only flexibly create profile characteristics such as favorite brands, colors, or categories, or transfer them from the DYMATRIX CDP, but also use them directly for rules. For example, show gold customers interested in “smart homes” smart lamps directly on the home page. This creates 1:1 real-time personalization that goes beyond classic product-to-product logic.ausgeht.

Aufteilung von Kunden in Zielgruppen anhand von Merkmalen, Verhalten oder Interessen

Segmentation for Personalized Offers


With audience segmentation, you can easily assign customer profiles to target groups — for example, “men's fashion,” “outdoor enthusiasts,” or “dog owners.” You can use these segments immediately for personalized widgets and recommendations.
For example, dog owners automatically see the current promotion for dog leashes on the home page, while other visitors see general content such as bestsellers instead. You deliver relevant offers to each target group without any additional effort in your daily business. More relevant for customers, more efficient for you.

KI-gestützte Empfehlungen zur personalisierten Ausspielung relevanter Produkte und Inhalte

Real-Time AI Recommendations

The AI of the Advanced Recommendation Engine reads between the clicks. It combines historical behavior, current sessions, and — if available — profile data to generate precise recommendations in real time. With login, it uses complete profiles across all devices. Without login, it works with patterns of similar visits. This way, each person receives the right inspiration, from alternative products to upselling offers

Funktionen zur Einhaltung von Datenschutz, Einwilligungen und sicheren Umgang mit Kundendaten

Security Through Privacy Protection

With privacy protection, you can manage consent just as specifically as recommendations. Simply design your consent banner in line with your CI in an editor. Here you can also describe to users what cookies are used for on your site. In the Privacy Viewer, you can see how many users have agreed or declined. This protects you against legal risks in web analysis, optimizes your consent rate, and at the same time optimizes your database for the best recommendations.

Next Best Offer

Every Channel Completes the Experience

Gain a competitive advantage with AI that recognizes needs before they arise: The Advanced Recommendation Engine's NBO calculates in real time which products are likely to be the next best fit — even for anonymous visitors. The AI combines session data, purchase history, and forecasts, recognizes patterns, and plays out fully automated recommendations with maximum accuracy. GDPR-compliant.
The NBO in DYMATRIX Personalization is based on online behavioral data and is calculated live. The NBO in DYMATRIX Predictive Analytics, on the other hand, uses all CDP data and is calculated at regular intervals – ideal for cross-channel campaigns, including offline and print. 

Automatische Auslösung von Marketingmaßnahmen basierend auf definierten Ereignissen

Email Integration & Pop-ups

Every Personalized Touchpoint Encourages Purchases

With Promote and email integration, you can personalize across channels. From pop-ups on your website to individual product tiles in emails, you can display relevant recommendations and increase conversions and sales in a targeted manner.

Print-Mailings mit personalisierten Inhalten zur gezielten Kundenansprache
Email Integration – Personalized Mail

With Email integration, you can transfer personalized content from your shop, website, or app directly into your mailings. You define the look and feel of the recommendation widgets and the product information displayed (e.g., image, name, price). Simply embed the finished code into your email provider's templates. This way, recipients receive relevant content tailored to their current interests – for higher open and click-through rates, stronger loyalty, and measurably more conversions and…

Aufmerksamkeitsstarke Einblendungen im Shop zur gezielten Ausspielung von Angeboten und Aktionen
Promote – Personalized Pop-ups

Create eye-catching impulses directly on the website – with individual pop-ups for recommendations or promotions. In the design editor, you can define the layout, sizes, styling, position, and, if necessary, animations for mobile devices and desktops. You can control the display in a targeted manner based on current behavior data and profile information. For personalized messages that are easy to see and click on. 

Inspire with Every Recommendation.

Full-service provider

Your Success. Holistically Thought out.

DYMATRIX supports you not only with software, but also with comprehensive expertise in strategy, implementation, and ongoing service. This ensures that you get the full benefit from our customer experience platform

Detailgrafik der DYMATRIX Customer Experience Platform (CXP)
Platform that makes your work easier

Intelligent platform that centrally bundles your data, channels, and campaigns—for seamless customer experiences.

DYMATRIX Strategie-Experten für die Entwicklung datengetriebener Marketing-Konzepte.
Experts who think for you

Strategic consulting for the optimal design and implementation of your customer journeys and marketing measures.

DYMATRIX Experten-Team für die persönliche Begleitung der technischen Implementierung.
Experience that accelerates your start

Experience that accelerates your start. Initial support from data connection to first delivery through careful preparation and integration…

DYMATRIX Customer Success Team für operativen Support im laufenden Betrieb.
A team that supports you

Ongoing support, maintenance, and optimization to ensure your customer experience platform continues to deliver on its potential.

Success Stories Testimonial - Peter Hahn

DYMATRIX offers a comprehensive, customisable web analysis tool. The combination of web analysis data with product recommendations and personalisation in particular are its strengths, rounded off by good advice and support.

Sina Vorpahl

PETER HAHN GmbH

Success Stories Testimonial - Babywalz

With numerous standard reports and almost unlimited individual evaluation options, DYMATRIX offers us an ideal tool for both superficial evaluations and in-depth and comprehensive analyses.

Jasmin Nowak

baby-walz GmbH

Testimonial graphic - Ernstings

DYMATRIX helps us to answer our questions. The combination of web analytics and product recommendations from a single source is ideal for us. DYMATRIX is a strong partner that is accessible and GDPR-compliant.

Sarah Gelsterkamp

Ernsting's family GmbH & Co. KG

Testimonial graphic - Alsa

DYMATRIX enables us to control our products dynamically and flexibly and to showcase them perfectly at the appropriate place, so we can optimally guide our shop visitors.

Elena Bloser

Alsa Hundewelt

Success Stories Testimonial - Christ

Thanks to the good support we receive, DYMATRIX enables us to display more relevant content for our customers both on site and in mailings, thereby increasing both the click rate and sales.

Melanie Kordel

Christ Juweliere und Uhrenmacher seit 1863 GmbH