Ready for immediate use, AI-capable, data-rich

udo – the CDP for SMEs

Read on to find out how Schober delivers a ready-to-use, AI-enabled CDP for real data intelligence with udo.

 

Or HERE directly to the whitepaper as PDF.

 

What you can expect

Summary for decision-makers

In diesem Whitepaper erfahren Sie, warum udo – die Customer Data Platform von Schober – speziell für die Anforderungen des Mittelstands entwickelt wurde.

Es zeigt auf, wie Sie ohne langwierige IT-Projekte und ohne eigene Ressourcen sofort von konsolidierten, qualifizierten und KI-fähigen Kundendaten profitieren.

Sie erhalten Antworten auf zentrale Fragen:

What are the typical hurdles that SMEs face when introducing a CDP – and how does udo overcome them? How does udo ensure clean, enrichable and analyzable data with the integrated Schober data universe? Why is the first step of Brahm’s staircase – data cleansing – crucial to enable reliable analytics and cross-channel campaigns? How do you identify new potential for mail, e-mail and digital – directly from the platform? What advantages does udo offer through plug & play entry without migration and without IT effort?

In short, this white paper is aimed at decision-makers who want to get started with data-driven marketing quickly, securely and effectively – and are looking for a solution that fits the reality of SMEs.

If you have any questions or would like to discuss individual aspects in more detail, we look forward to talking to you!

Your Schober team

CDP and the SME sector

SMEs need different CDPs than corporations

Customer Data Platforms (CDPs) versprechen, Daten zu vereinheitlichen, Kunden besser zu verstehen und personalisierte Kommunikation zu ermöglichen. Sie gelten als Schlüsseltechnologie für datengetriebenes Marketing und datenbasierte Vertriebsprozesse. In großen Unternehmen gehören CDPs längst zur digitalen Infrastruktur – betrieben von spezialisierten Data-Teams, integriert in komplexe Systemlandschaften und unterstützt durch millionenschwere Budgets. Doch was in Konzernen funktioniert, skaliert nicht automatisch im Mittelstand.

Denn mittelständische Unternehmen ticken anders:

They rarely have their own data engineers or IT architects. Projects must not only be economically viable, but above all resource-efficient. Solutions need to be implemented quickly – without lengthy implementation phases. The data basis is often heterogeneous, distributed and unstructured.

Oversized, complex and expensive

Traditional CDPs such as Salesforce, Adobe or SAP offer extensive functionalities – but these require extensive prior knowledge, integration effort and internal IT project management. For many SMEs, this means: too complex, too expensive, too time-consuming.
What SMEs need instead is a solution that is realistic, pragmatic and immediately effective. A CDP that works without a dedicated project team, adapts to existing structures – and delivers immediate added value.

 

This is exactly where udo comes in: a customer data platform that closes this gap. It was specially developed to take into account the real conditions and structures of medium-sized companies – with limited internal resources, high operational workloads and growing pressure to digitize.

 

udo is strong where many other solutions are overwhelmed: when getting started. Instead of months of implementation projects and expensive customizing phases, udo enables a direct start – data protection-compliant, resource-saving and with a focus on fast, visible benefits. This means that udo is not the next major IT project, but a pragmatic solution for data-based growth in SMEs. A customer data platform developed specifically for SMEs – with immediate benefits, ease of use and genuine data intelligence that works even without a data science background. A customer data platform developed specifically for SMEs – with immediate benefits, ease of use and true data intelligence.

Typical hurdles for medium-sized companies

Why many CDP projects don’t even get off the ground

The introduction of a customer data platform in SMEs often fails not because of the will to digitize, but because of the structural realities of day-to-day business. Although many management teams recognize the potential of a data-driven customer approach, there are hurdles in operational implementation that can hardly be overcome with standard solutions.

 

The data landscape in most medium-sized companies has grown historically – and is correspondingly heterogeneous. Customer data is spread across ERP systems, CRM applications, store systems, newsletter tools or even Excel files.

 

Breaking through these silos and creating a standardized, consolidated data model is challenging – especially when the IT department consists of two people and there are no resources available for integration projects.

 

There is also strategic uncertainty:

  • What is the actual benefit of a CDP?
  • When will the return on investment become apparent?
  • How costly is ongoing operation?

 

These questions often remain unanswered – or are only vaguely answered by providers. And then there is data protection: cloud solutions in particular are often met with skepticism by SME decision-makers, whether for regulatory or cultural reasons.

 

What remains is a strong desire for better data availability – but also the fear of starting another IT project that ties up more resources than it brings benefits. The result: you remain in the status quo, working with fragmented, incomplete and unanalyzable data sets – and wasting the full potential of your own data.

What udo does differently

A pragmatic approach without IT hurdles

udo was designed from the ground up so that companies can get started right away, regardless of their IT infrastructure – without any complex migration projects or lengthy preparatory work. udo thinks in terms of solutions, not integrations.

 

Instead of connecting all systems, a simple upload of the existing data to the private udo cloud is sufficient. There, the platform immediately starts checking, consolidating and enriching the data – automatically, in compliance with the GDPR and in a protected cloud instance hosted in Germany.

 

The user interface is designed in such a way that even specialist departments without technical knowledge can work with the data independently. Marketing and sales managers have immediate access to analyzable segments, target group profiles and campaign data that can be activated. The first valuable insights are generated within a few days – and the foundation for a sustainable customer data strategy is laid.

 

Instead of extensive integration, a simple upload of the existing data to the private udo cloud is sufficient.

 

 

There, the platform immediately starts consolidating, checking and enriching – fully GDPR-compliant, securely hosted in Germany and without any IT effort on the customer side.

 

The user interface is intuitively designed and allows marketing and sales departments to work independently of IT or data science. Within a few days, companies can create initial segments, analyze customer profiles and run targeted campaigns.

The Schober data universe: Integrated. Qualified. Usable.

What makes a CDP really effective

A key unique selling point of udo is its direct access to the integrated Schober data universe. While many CDPs are limited exclusively to the inventory data of their users, udo can also access millions of validated B2B and B2C data records – in real time, context-based and in compliance with data protection regulations.
Das Schober Datenuniversum mit seinen Milliarden an Daten aus den Bereichen B2B, B2C, Mobile Advertising IDs, Gebäudedaten usw.

Above all, this access enables a qualitative enhancement of the entire customer base. Company sizes, industry classifications, geographical characteristics, household structures, purchasing power data or digital affinities – all this is available at the touch of a button. udo turns simple raw data into a valuable decision-making basis for marketing and sales.

 

However, in order to ensure an optimal comparison of your own data with the Schober data universe, the data must first be merged and cleansed. Because only a clean database promises high matching rates.

 

udo ensures that this basis is created – automatically, comprehensibly and efficiently.

Bereinigung und Anreicherung – Stufen 1+2 der „Brahm’schen Treppe“

Address validation and duplicate matching in real time Enrichment with geo, industry and structural data Matching with existing customers Automatic classification and scoring

Bereits beim Upload prüft udo die übermittelten Datensätze auf Dubletten, syntaktische Korrektheit und inhaltliche Vollständigkeit. Dabei greift die Plattform auf Schober-Logiken zurück, die seit Jahrzehnten im Adressqualitätsmanagement etabliert sind.

Martin Brahm, Erfinder der sogenannten Brahm’schen Treppe, erklärt: „Die Basis einer erfolgreichen Datenstrategie ist eine saubere, einheitliche Datenbasis. Erst wenn ich meine eigenen Daten konsolidiert und bereinigt habe – also Stufe 1 der Brahm’schen Treppe meistere –, kann sich das volle Potenzial der Anreicherung mit Dritt- und Schober-Daten entfalten. Nur so werden Customer Insights, zielgerichtete Analysen und eine effiziente Aussteuerung überhaupt möglich.“

udo übernimmt genau diesen entscheidenden ersten Schritt automatisch – und macht damit den Einstieg in professionelles, datengestütztes Marketing auch für mittelständische Unternehmen realisierbar.

The 4 steps of the “Brahm’s staircase”
Darstellung der Brahmschen Treppe, nach der auch udo aufgebaut ist.
From data quality to AI capability

Clean data as the door to intelligent automation

Durch die systematische Bereinigung und Anreicherung entstehen moderne, strukturierte Datenbestände. Diese stellen die notwendige Voraussetzung für den Einsatz von Machine Learning und KI-gestützten Analyseverfahren dar – denn selbst der beste Algorithmus funktioniert nur so gut wie die Daten, mit denen er trainiert wird.

udo übersetzt die qualifizierten Daten automatisch in Formate, die für automatisierte Analysen und Prognosen geeignet sind. Das ermöglicht eine neue Qualität an Zielgruppenverständnis – und zwar auch ohne eigenes Data-Science-Team.

So lassen sich z. B. Personas durch Ähnlichkeitsanalysen datenbasiert ableiten oder Customer Lifetime Value und Kaufwahrscheinlichkeiten präzise modellieren. Predictive Analytics, die bisher Großkonzernen vorbehalten waren, werden mit udo zum Werkzeug für mittelständische Marketingverantwortliche.

Auch automatisierte Trigger-Kampagnen und intelligente Segmentlogiken können mit wenigen Klicks aufgesetzt werden. Die Plattform liefert dazu Empfehlungen, basierend auf Nutzungsmustern und dem Verhalten ähnlicher Zielgruppen – datengestützt, transparent und sofort umsetzbar.

Was bislang großen Konzernen mit eigenen Data-Science-Teams vorbehalten war, steht nun auch mittelständischen Marketern zur Verfügung – ganz ohne technisches Vorwissen.

Auf einen Blick:

Target group segmentation based on real behavioral data Similarity analyses and predictive models Purchase probabilities and customer lifetime value forecasts Automated trigger and campaign control
Access to new potential – activate across channels

New customers with Schober data and udo logic

Ein weiterer USP: Mit udo lassen sich nicht nur bestehende Kundenprofile analysieren und weiterentwickeln – die Plattform ermöglicht auch den gezielten Zugriff auf Neukundenpotenziale. Dafür steht das umfassende Datenuniversum von Schober bereit, das über verschiedene Zielgruppenmerkmale hinweg segmentiert werden kann.

So können beispielsweise Unternehmen identifiziert werden, die einer bestimmten Branche angehören, in einem spezifischen Vertriebsgebiet sitzen oder vergleichbare Kaufverhalten wie bestehende Kunden zeigen. Diese Potenziale lassen sich nahtlos in Marketing- und Vertriebsmaßnahmen überführen – kanalübergreifend und aus einer Plattform heraus steuerbar:

  • Postalisch: Gezielte Direktmailings mit validierten Adressen
  • E-Mail: Versand an geprüfte, permission-basierte Kontakte
  • Digital: Erstellung und Export von Custom Audiences für Social Ads und Display-Kampagnen

Damit wird udo zur Schaltzentrale einer intelligenten Kundengewinnung. Die Plattform bringt neue Zielgruppen mit den passenden Kanälen zusammen – und liefert zugleich die Datenbasis für eine messbare Erfolgskontrolle.

Technical reality: plug & play instead of a migration marathon

Use data without starting technology projects

Während andere CDPs auf umfangreiche IT-Integration setzen, verfolgt udo den entgegengesetzten Ansatz: schnell starten, ohne tiefgreifende Eingriffe in bestehende Systeme.

Der Einstieg erfolgt denkbar einfach – durch den Upload der vorhandenen Kundendaten in eine sichere, dedizierte Cloud-Instanz. Kein Installationsaufwand, keine Abhängigkeit von internen IT-Ressourcen, keine zusätzlichen Lizenzmodelle für Drittsysteme. Die Bedienung erfolgt webbasiert über eine moderne, übersichtliche Benutzeroberfläche.

Bei Bedarf kann udo über standardisierte Schnittstellen (REST-API) mit CRM-, ERP- oder Shop-Systemen verbunden werden – die Anbindung ist möglich, aber kein Muss. Gerade für mittelständische Unternehmen mit schlanken IT-Strukturen ist das ein entscheidender Vorteil.

Der Effekt:

  • Innerhalb weniger Tage ist die Plattform einsatzbereit.
  • Marketer und Vertriebsteams können unmittelbar mit der Arbeit beginnen – ohne Projektplan, ohne Meetings, ohne Abhängigkeit von externen Dienstleistern.
Conclusion: udo brings data to the point

The difference for medium-sized data marketing

udo ist die Customer Data Platform, die Mittelstand kann – weil sie nicht versucht, Konzernlösungen zu kopieren, sondern echte Praxisprobleme löst. Sie macht Daten nutzbar, anstatt neue technische Hürden zu schaffen.

Durch den Fokus auf einfache Nutzung, schnelle Implementierung und integrierte Datenintelligenz ermöglicht udo einen Zugang zu datengestütztem Marketing, der bislang vielen Unternehmen verwehrt blieb.

Die Verbindung von Datenbereinigung, Anreicherung, Analysefähigkeit und kanalübergreifender Aktivierung in einer Plattform ist einzigartig – und vor allem: sofort verfügbar.

 

udo ist keine Zukunftsvision, sondern ein einsatzbereites Werkzeug.

Für alle, die mehr aus ihren Kundendaten machen wollen. JETZT.

 

 

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Good relations

Customer Data Platform – The Guide

Die Customer Data Platform der Zukunft. Hallo udo.

Customer data under control

Sprawling amounts of data, dissatisfied customers, no new customers in sight… then it’s time for a Customer Data Plaform. In the course of digitalization, companies are constantly generating and collecting large amounts of information. These often end up in different places, distributed across different systems with separate databases that may be physically networked, but not symbiotically. This leads to data silos, the scope of which is constantly increasing, but the benefits are sometimes reduced due to the immense administrative effort. This is where an application comes into play that links various data sources, combines and cleanses the data they contain in order to make meaningful use of this processed customer data. This application is the above-mentioned Customer Data Platform. But first things first:

What is a customer data platform?

In the past, the grocer around the corner knew exactly what his customers’ shopping habits were. Mrs. Müller, for example, always bought fresh yeast on Thursday for the yeast plait for the Sunday roast. That’s why the clever grocer always had flour clearly visible in the display on these days, so that Mrs. Müller could also take it away and bake it directly. The grocer memorized the buying habits of his customers and arranged the product range accordingly.

Today, information about customers comes from a variety of sources. Data is collected on websites, in apps, in social media and much more, or is stored in customer databases. There they either remain unused or are used singularly for the medium where they were generated. This is where a customer data platform comes in: it supports companies in collecting, storing and managing data from various sources. It breaks open the data prisons and brings the separately collected information together in one place.

Why a customer data platform?

Only together are we strong – this also applies to data. Platforms such as Wikipedia bundle the knowledge of many into a huge knowledge database. A customer data platform works in a similar way: knowledge from many data sources is bundled together. This results in a multitude of advantages: Everything is centralized in one place, new potential is created from the complementary data, efficiency is increased enormously and much more. Discussions with customers reveal further effects. Increased efficiency and productivity are reported, which is accompanied by a reduction in the workload of employees, who no longer have to spend time evaluating data from various sources, but can work directly with the information processed by the CDP. In addition to the selection, evaluation and initial approach of suitable target customers, customer care is also simplified by automated contact routes and taken out of the day-to-day business.

What does the customer gain from a Customer Data Platform?

A customer is no longer just a buyer: it is about more than the simple purchase of a product or service. Excellent and, above all, personal service is now expected and taken for granted. They want to be provided with customized information and recommendations across all communication channels (if desired). This is exactly what a CDP makes possible: it prepares the information relevant to this customer from the overall portfolio of data and delivers precisely this information via the appropriate channel.

What do you get from a customer data platform?

The quality of the customer experience determines the future path between you and your customers. Personalized communication is an important part of a positive customer experience and should therefore be a standard part of the customer approach, as many companies still do not meet this expectation. With the corresponding consequences: customers do not feel they are in good hands and leave. In view of the fact that the cost of acquiring new customers is significantly higher, the loss is even more serious.

Why Customer Data Platform “PLUS”?

The usual approach with a CDP is to access first-party data. In order to be able to work with them at all, they are brought into the same shape. The result is a packaged data package that provides an all-round view of the customer. This is a big step towards digital sales. To perfect this, however, you need that “PLUS”, that little bit extra. This consists of various components that are used to refine, refine and utilize the data.

PLUS 1: Clean-up
PLUS 2: Enrichment
PLUS 3: Access to new potentials

Why “udo” from Schober?

Schober is at home in the world of data. This can also be seen in “udo”, the customer data platform that offers the “PLUS”. With “udo”, the data silos are not only merged, but the data is cleansed in advance, because meaningful analyses work best with clean data. In addition, “udo” enriches the data with information from the integrated data universe. This provides valuable additional information. In addition, the customer’s own data is compared with the potential from the data universe. The result: you can see at a glance what would be possible and have the option of implementing this in “udo” straight away.

PLUS 1: “udo” cleansing
Data is not only freed from its silos and merged, but also cleansed. A clean basis for clean work.

PLUS 2: Enrichment with “udo”
Schober’s data expertise and comparison with the integrated data universe enhances data with valuable additional information. More knowledge leads to added value, because the expanded database enables the “udo” AI to determine perfect target groups in order to play out campaigns in a targeted manner and automate contact routes.

PLUS 3: New customer potential with “udo”
By analyzing existing customers, “udo” identifies new customer potential from the integrated data universe. These can be used directly from “udo” for new customer campaigns across all channels (digital and print).

Naturally, “udo” adheres to the highest standards in terms of data protection, compliance and security.

 

 

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The data diet

Targeting without cookies

Cookieless Targeting - Wie komme ich trotzdem an meine Zielgruppe?
Do you have to do without cookies in future?

We have your recipe for success!

The end of third-party cookies marks a turning point in the field of online tracking and data-based advertising. These cookies enabled advertisers to track and target users across different websites. With their phasing out, advertisers are now faced with the challenge of finding alternative methods to reach their target groups.

In addition to contextual targeting, i.e. ad placements based on the general context of the website and the increased use of first-party data, in which companies draw on their own information about the behaviour of their users on their own websites to offer personalized advertising, other approaches are needed to provide users with personalized content that is relevant to them.

The search for new ways to address target groups is becoming a challenge for advertisers. Third-party cookies enable targeted marketing, their elimination requires the adaptation of strategies and technologies. Data protection concerns and regulatory requirements play an important role here and must be taken into account when developing new approaches.

With its in-depth knowledge of data, Schober Information Group Deutschland GmbH supports its customers in linking online and offline information in compliance with data protection regulations, even without third-party cookies. In this context, it is important to remember that only third-party cookies disappear from the market, but not third-party data.

Now that third-party data encompasses much more than just a postal address, it is possible to link mobile device users with data records from the CRM or relevant data characteristics using deterministic approaches, even without cookies.

This means that it is still possible to use relevant and personalized content in digital and analogue advertising, taking into account the individual data protection requirements of each individual user.

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Mastering challenges digitally

udo in B2B sales

Mitarbeiter schauen lächelnd auf einen Laptop.
Challenges

udo in B2B sales: data-driven & digitized, therefore doubly efficient

Many companies and sales organizations are not keeping pace with the recent rapid changes brought about by digitization and are just doing what they have always done. In the past, they have also been successful with this, as their work is primarily based on the personalized relationship with the customer. However, the challenges for B2B sales are becoming increasingly complex. It’s not just customers and markets that have been transformed by digitization. Technology is turning distribution on its head overall. The opportunities outweigh the risks, but only if you know how to take advantage of them.

On the next few pages, we want to take you into the new world of B2B sales. The white paper first discusses the three most important challenges for sales managers – beyond the buyer journey in the narrower sense. The second part focuses – for your maximum benefit – on concrete use cases. We show the most important success factors for B2B sales. The Schober consultants will provide you with further background information in a personal conversation. The third part presents udo, a concrete solution concept for sales digitization.

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How utilities are shaping the transformation

Sales and marketing in the liberalized energy market

Energiemarkt Transformation
Challenges

Energy transition, liberalization, transformation

The energy industry with its utilities and municipal utilities is in the midst of restructuring. If Germany’s players in the energy market want to survive, they will have to reinvent themselves in the areas of sales and marketing and rethink their business models. This applies to the core products and the switch to renewable energies. But the transformation goes much deeper: customers’ requirements have grown beyond just energy supply, and digitization offers new opportunities and requires new offerings. At the same time, new players beyond the typical utilities and municipal utilities are entering the market – comparison portals, providers from outside the industry, international disruptors.

Sales and marketing are crucial to the success of the transformation. Liberalized markets open up new opportunities, but also dissolve the established bond between supplier and customer. Interaction with high value for customers is therefore one of the key success factors for the transformation to succeed. If a utility or municipal utility wants to make better offers on competitive markets in the long term, it has to know its customers and their requirements in detail.

The white paper first looks at the five most important transformation fields of the energy transition and highlights their significance for the industry as a whole and specifically for marketing and sales managers. The second part summarizes the consequences of the transformation for CMOs and CSOs, and then presents a concrete solution concept for the upcoming tasks in the following part. The last part is dedicated to concrete use cases in order to convey practical knowledge and possible applications. In view of the large number of challenges, we are only showing a selection; we will be happy to provide you with further material and background on request.

 

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Use Schober data (B2B and B2C) via interface in real time

API - Daten per Schnittstelle
Automated data enrichment

API info sheet

Valuable additional information via API for your datasets

API target groupsKnow your customers and target groups for successful marketing, selective analyses and a professional customer approach. With an automated enrichment of current additional data via API from the Schober data universe, you create the prerequisite for this valuable qualification of your data stock.

 

The Schober data universe always at your fingertips

API data selection  Use our interface to immediately and easily access our extensive company and contact database in the B2B area as well as our personal database in the B2C area. In this way, our API supports you in digitizing and automating your business processes and improves the data quality in your CRM or ERP system.

 

Click here for a free download of our API info sheet

API Logo
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Checklist

The top 5 reasons for multi-buyer analytics and customer engagement

Symbolbild für Multibuyer Analytics: eine Lupe und kleine Kartons, auf denen Warenkörbe zu sehen sind.

Multi Buyer Analytics Checklist

Learn the top 5 reasons for multibuyer analytics and customer engagement in this checklist:

  • Existing customers increase sales more efficiently than new customers
  • Multi-buyer analytics ensure high customer loyalty
  • Multi-buyer analytics help tailor the offer to customers
  • Higher customer value counts: Rewarding high-revenue VIP customers
  • Legal certainty and the recommendation booster

Click here to download for free:

Multibuyer Analytics Checklist

 

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Checklist

The 5 most important reasons for good data quality in sales and marketing

Data Quality Checklist

Learn in this checklist the 5 most important aspects why good data quality must be the basis for all your marketing and sales actions:

  • Breaking through “Garbage-in-Garbage-out”.
  • Data must be and remain current
  • Dissolve and avoid data silos
  • Description depth and enrichment
  • Data quality is a process

Click here to download for free:

Data Quality Checklist

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Simply fill out the form with your data and your request. We will get back to you as soon as possible. Alternatively, you can also make an appointment directly via Calendly.

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Challenges for marketing and sales

Why udo is the solution for CSOs and CMOs

udo Whitepaper digitalisierter Vertrieb
for medium-sized companies

Data-driven marketing and digitized sales

Are brand loyalty and customer retention yesterday’s news? In any case, the technical upheavals of recent years have turned some certainties upside down. CMOs and CSOs in the midmarket are challenged to adapt to the new conditions in both B2C and B2B business. In view of the thematic abundance – AI, ML, DSGVO, Last Cookie, Zero Data – decision makers in marketing and sales are strongly challenged. But, and this is our good news: The challenges are manageable. Brand loyalty and customer retention are still important and feasible. That’s what we want to show you on the next few pages and take you into a new world.

This white paper begins by looking at the three key challenges facing marketing and sales executives. The second part summarizes the consequences of the transformation for CMOs and CSOs, and then presents a concrete solution concept for the upcoming tasks in the following part with udo. The last part contains concrete use cases to impart practical knowledge and possible applications at
. In view of the large number of challenges, we are only showing a selection; we will be happy to provide you with further material and background on request.

Contact

You would like to know more? We are looking forward to your inquiry.

Simply fill out the form with your data and your request. We will get back to you as soon as possible. Alternatively, you can also make an appointment directly via Calendly.

Make Calendly appointment directly
salutation
* mandatory fields
* mandatory fields
Thank you very much! Just one more step … In order for us to process your request as quickly as possible, please confirm your request in your email inbox now. If necessary, please also check the spam folder.
ALWAYS UP TO DATE

Subscribe to our newsletter.

Discover a world full of knowledge and opportunities!
To take your business to a new level, our newsletter will give you

  • up-to-the-minute insights
  • groundbreaking trends
  • exclusive content and
  • access to valuable discount promotions

 

Register now and experience how data and digitalization go hand in hand for your success.