20+ Use Cases for implisense.com

With implisense.com you get direct access to over 1 million company profiles for all active companies in Germany. The following use cases will show you how you can benefit optimally from the service:

Find a certain company

Are you looking for a specific company from Germany? Then these search options will help you:

Find companies with certain characteristics

Would you like to know which companies with certain characteristics operate in Germany? Then the powerful search of implisense.com will help you:

Manage companies as favorites

You selected a variety of particularly important companies and would like to have faster access to them next time? Use the free favourites function for this purpose:

Get detailed company information

Are you interested in more detailed information about a company? Then implisense.com provides you with the following data depending on availability:

  • Official company name according to commercial register
  • Former company name
  • Official address according to commercial register
  • Commercial register number and local court
  • Managing directors/authorised signatories
  • Date of registration
  • Economic activity according to commercial register
  • Phone number
  • Website URL
  • Company email address
  • Social media posts
  • Products and services
  • Number of employees
  • Balance sheet total
  • Revenue
  • Earnings
use cases company profile

Get news about companies

Do you want to stay up to date with the latest developments in an industry? Receive interesting news on different trending topics.

And per company: Current posts from Twitter, Facebook and YouTube

Applications in sales

You have sales tasks and would like to deepen your customer relations by a good information basis?

Use company profiles as a tool for insights about the prospect

Use company news to understand current topics and challenges

Applications in marketing

You work in marketing and would like to make your messages more relevant and targeted? Then the following applications are the right ones for you:

Analyze your existing CRM database to discover new sub groups

Profile existing contacts with additional 3rd party data points for better messaging


Note: Since February 2020, Companies and Markets has been operating as implisense.com.


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Is your use case missing?

Write to us via the contact form and we will consult you about the individual possibilities that Implisense offers you.

3 use cases for dark data analysis in marketing & sales

Data is the new currency in marketing and sales. The processes in these departments are becoming more and more data-driven – certainly also in your company. However, the more sales and marketing rely on it, the more important it is that the data on which decisions are based is really the right and relevant data. But this is not always the case. Because most tech platforms are only able to collect and process a small part of the available information. Namely, visible and structured data that almost always refer to the past. A true treasure of data of multiple size lies beneath the surface, which would enable much more precise statements in real time as well as highly probable forecasts – dark data. The problem is that they hide largely unstructured in a large number of scattered sources.

Dark Data - unstructured dataThe great thing is that AI is increasingly capable of detecting, collecting and – above all – interpreting this unstructured data. This gives you much deeper insights into your leads and customers, enables you to react more quickly to changes and provides you with more information on whether you are using the right data points as the basis for segmenting your contacts.

Three typical examples of how you can use Dark Data in your marketing and sales:

Use Case 1: In-depth insights for preparing calls

Technology profile e.g. from Dark DataImagine you could see at a glance which technologies a potential customer is using in his company, you knew in which countries he is going to increase his activities – without official announcement – or in which product groups the company is currently investing more. This and more information is already available on the Companies and Markets platform. And all this in a clear graphic format for quick preparation of meetings. The data for this is collected by an AI from millions of sources on the Deep Web. It interprets signals and mentions that have not been taken into account in conventional data collection – for example, the prerequisite for certain software skills in job ads. This turns a huge amount of unstructured data into meaningful, in-depth company profiles that you can call up with just one click. In a slimmed-down form even free of charge.

Use Case 2: Validation of data sets and trigger event detection

Even the most extensive data set is only valuable if it is up-to-date. AI-supported data enrichment and updating – for example using the Implisense API – also relies on Deep Data. Have records about your leads and customers automatically replenished and kept up to date. Quantity and quality of data in one solution. Another benefit of automatically updating your records: You recognize trigger events as early as possible and can react immediately. By evaluating the unstructured signals on the Deep Web, you know about relevant changes in your contacts even before your competition.

Use Case 3: Automatic segmentation based on relevant data

Data form the informative basis for the creation of positive customer experiences and the interpretation of customer behaviour. But are you sure you’re really looking at the relevant data points? An example: A restaurant wants to get to the bottom of the decline in walk-in customers. To do this, those responsible use customer feedback on food, ambience and service. But what if the main reason is a difficult parking situation in the surrounding area? If your interpretations are based on the wrong data points, you will draw the wrong conclusions and possibly even act counterproductively.

Implisense Pro helps you segment your customers and leads with Dark Data. Because the AI searches among the huge datasets it has created from the unstructured information for commonalities that connect your best customers. And on this basis, it suggests companies that also have these characteristics. The algorithm automatically determines which data points are important for identifying leads with great potential for you. In other words, the segmentation is really based on the relevant data.

Lift the data treasure below the surface by making Dark Data usable in marketing and sales.

Why data enrichment is not just about data quality

At this blog, we have already presented various use cases for more efficiency in marketing and sales through data enhancement. In most cases, the introduction of a data enhancement strategy is based on the desire for a qualified and comprehensive firmographic profile of the incoming leads. But to get the most out of your data enrichment solution, you need more than the pure data quality of the firmographic information. By wisely leveraging the benefits of a broad data provider, you can get more out of your data set. And make data enrichment in your organization an extremely powerful sales and marketing tool.

Not everything, but important: Consistently high data quality essential

Obviously, a high quality of the delivered data is still at the top of the list of things a data enhancement service provider must offer you. After all, the quality of your company data determines its expressiveness. The more comprehensive and reliable the information you receive from your data enhancement partner, the less of it you need to collect from your customers and leads. One e-mail address is often enough – and you will receive a detailed firmographic profile. This results in a significantly lower hurdle to contact and an extremely comfortable user experience.

At the same time, data quality also means up-to-date data. Estimates assume that information will become obsolete in about a third of your data records within a year. Sometimes after just a few days or weeks. In the worst case this leads to an incorrect treatment of the customer or prospective customer and thus to a waste of valuable resources in marketing and sales. A good data enhancement service such as Implisense automatically provides you with updates to your existing data records. This ensures not only an initial, but above all a consistently high quality of your data.

Advantage through up-to-date databases: Signals and trigger events as a window to the customer

Data quality: The window to the customerIf used correctly, however, the usefulness of automated data enrichment goes well beyond regular filling of firmographic gaps and data quality as well as data topicality. The Implisense algorithm provides you with information you could never have requested from your lead or customer. Not least because in many cases you would not have known at all that there was such information to ask for. Important signals and trigger events that give you a valuable knowledge advantage:

  • In which positions are more people being recruited at the moment? (Can a strategic expansion or the opening of a new location or business area be derived from this?)
  • What technical and software skills are expected from employees? (So which systems are used internally?)
  • Were there new hires in middle management? (Can you be the first to talk to a new contact person?)

If you interpret this at first glance banal information correctly in the sense of your company, you will gain extremely specific contact reasons from your data enrichment. And maximize your chance of a quick and successful deal.

The when and where: Efficiency through intelligent data flows

When we talk about how you can increase the efficiency of your marketing and sales department with an appropriate data enrichment solution, we cannot ignore one essential point: The accessibility of all this information. Only if all relevant persons have access to all required data at all times can you actually exploit the advantages of the enriched data set. And if possible without the need for manual transfer! With intelligent interfaces such as the Implisense API, you can integrate the data enhancement service directly into your existing systems. The data flows automatically into your central databases and can be retrieved by all authorized employees at any time. Completely without your active involvement.

Before introducing a data enhancement solution, think carefully about what it should offer you in addition to impeccable data quality. And make clever use of signals and interfaces. Otherwise you will unnecessarily reduce their potential for your company.


Increase data quality with Data-as-a-ServiceImplisense’s Data-as-a-Service gives you access to several million features of more than 2.4 million economically active companies from Germany. And over 5.2 million companies in total. All this via a modern JSON REST interface (API). Here you will learn about the most important features, functions and application possibilities of Data-as-a-Service.Hier erfahren Sie die wichtigsten Eigenschaften, Funktionen und Anwendungsmöglichkeiten des Data-as-a-Service.

3 use cases to increase success through data enhancement

Our blog posts deal a lot with data-supported work in marketing and sales. However, it is clear that the quality of these measures depends critically on the amount and quality of the data you have on your leads, prospects or customers. Only with an extensive set of relevant and up-to-date data can you gain in-depth insights that enable you to address your segmented target groups precisely. Yet many companies do not even have the possibility to collect data to this extent. They receive only limited information from their leads – and it is not always clear how up-to-date these are. So how can you fill even large gaps in your knowledge? The magic word is data enhancement.

Success through data enhancement

Benefit from the extensive databases of a specialized company and be automatically provided with extensive data sets on your leads and prospects, but also on your existing customers. For example with the help of the Implisense API, which you can integrate directly into your existing systems. Define which data is relevant for you and receive up-to-date information at any time with the help of an algorithm. This is useful for a whole range of applications. Three exemplary Use Cases:

Use Case 1: Increase conversion on your website

It has been proven that every additional field in a web form increases the dropout rate. The less data your users have to enter, the lower the hurdle for conversion. With a solid solution for data enrichment in the background, you can keep your web forms as minimal as possible. Just ask for the most necessary information – Implisense will then fill in everything else for you. This means you get more leads and still have all the relevant information you need. And you’ll also improve your potential customer’s user experience. So win-win!

Use Case 2: Qualification & updating of leads

When we talk about modern data-supported marketing and sales, then it is not just firmographic data in which you should be interested. But especially signals that give you an indication of where your prospective customer is currently in the purchasing process. However, this status can change quickly. Once data has been obtained, it may become obsolete a short time later. Of course, you cannot bombard your leads with regular new data queries. An intelligent data enrichment tool like the Implisense API therefore not only provides you once with a comprehensive data set, but also regularly with daily updates to your contacts. This keeps your data automatically qualified and gives you valuable signals about changes that could affect the type of message you want to send to your contact.

Use Case 3: Segmentation & personalization

Without an appropriate data enhancement solution, you usually don’t have a comprehensive dataset immediately. Instead, you have to laboriously collect data from multiple sources over time. However, because a certain amount of information is needed to meaningfully segment and prioritize your leads, this can only happen at a later point in time. In other words, you’re wasting valuable resources on leads that you know too late don’t interest you very much. At the same time, you leave out the possibility of reacting quickly to highly potent leads. By enriching your data, on the other hand, the complete data set is available to you at a stroke. You can categorize your new lead immediately and send it maximum personalized messages depending on its relevance and status in the purchasing process. In this way you waste less potential, use your existing resources more sensibly and convert prospective customers to customers more quickly.

These are just three examples of applications for the beneficial use of data enhancement. A powerful tool that simultaneously accelerates and improves marketing and sales. A real booster for your conversion.

How to promote the consistent use of data in your sales department

Most sales professionals are now aware of the importance of data for modern sales. Nevertheless, the practical implementation of data-based sales techniques in day-to-day business still faces a number of problems in many companies. Collecting and archiving in particular is often perceived as a burden by operative sales staff and is frequently left behind in stressful everyday life. The following four measures will help you to effectively implement data-based tools in your sales department.

Define KPIs clearly

Evaluating data effectively is based on a clear understanding of what has actually been measured. This is the only way to draw reliable conclusions and derive meaningful measures from them. Which costs, for example, are specifically included in the customer acquisition costs? In order to ensure a consistent interpretation of the data as well as its collection, it is a good idea to create a glossary. Establish an internal reference tool in which all KPIs are clearly defined. It can be accessed by every employee concerned, so that a uniform awareness exists at all times of what exactly designates which date.

Automate data collection

Collecting data in day-to-day business is one of the critical bottlenecks in implementing a data culture in your sales department. Because with a high workload and fixed goals, this is treated as a low priority by most sales people – and often goes overboard. By automating much of the data collection and maintenance process, you can reduce the burden on your staff while increasing team acceptance of your data tools. For example, with programs that automatically track click through rates or connection data from telephone calls and feed it into your CRM. You can also automate the recording and archiving of your customer master data: By having the Implisense API automatically fill your CRM with it. So you won’t miss any changes because they are kept up to date by a clever data enhancement strategy.

Consistent use of sales data

Make data visible and usable

To ensure that data can unfold its full power, it is not least important where it converges. In many companies, these are still static databases to which not every sales employee has access. Instead, use modern tools that prepare all data clearly for the entire team and can thus become a hub. This way, fewer things get lost, reaction times are shortened and awareness in your sales department is increased.

Use interfaces

You won’t benefit from the largest amount of data if your sales representatives don’t work with this information. So make it as easy as possible for them to access value-adding data. Right where they’re needed. Smartly integrate data from different sources and systems into the workflow of your sales team through the clever use of interfaces. If the helpful data is always just a click away, lower the hurdle to a more active use of this powerful sales weapon. And optimize the performance of your sales professionals.

Improve the consistent collection, evaluation and use of sales-relevant data in your sales team by keeping the hurdles as low as possible for your employees in their day-to-day business. A promising step on the way to modern data-based sales.