No target group analysis, no sales
If you want to sell successfully in B2B, you don't need a fairy godmother, but a clear target group analysis.
Without it, you waste your marketing budget, annoy the wrong people, and miss out on those who would actually buy.
This guide shows you:
- how to define your target group,
- which B2B data sources are actually useful,
- how to sharpen your customer segments using company data and lead lists,
- and how to find your target group at the push of a button with tools like Daten-Krake.
By the end, you will know exactly who your best customers are – and how to reach them.
What is a target group analysis in B2B?
Definition
A B2B target group analysis is the process of systematically identifying which companies (and the individuals behind them) genuinely need your products or services and how best to approach them.
In short:
Target group analysis = Who + Why + How you reach them.
Why it is so important
- Less wasted coverage: No advertising budget spent on irrelevant contacts.
- Better conversion: You speak the language of your target customers.
- More efficient lead generation: Every data record counts.
Example
Instead of "companies in Germany," your target group suddenly becomes:
"IT service providers with 10–50 employees that have grown over the last year and purchase software."
That is precise. And that sells.
HubSpot also describes target group analysis as the foundation for effective marketing and recommends systematically defining target markets based on clear criteria.
Chapter 2: Defining the Target Audience – the Basis of Every Strategy
Defining the target audience is the first step of every B2B marketing strategy.
But how do you find out who your ideal customers are?
Step-by-step guide to target audience definition
Pro tip: Use Daten-Krake to download relevant company lists by industry, address, validated email addresses, and contact persons. This saves you from days of research on LinkedIn & co.
Ready-made company lists with addresses and contact details for a quick start:
Deepen the topic here:
B2B target group segmentation: 5 steps to targeted audience segmentation – Read more about it here
Chapter 3: B2B Target Audience Segmentation – From Mass to Market Segment
In B2B, not every potential customer is equally valuable. The art lies in target group segmentation – that is, breaking large markets down into manageable segments.
Typical segmentation criteria
Why segmentation is so powerful
- You can create targeted marketing campaigns.
- You reach decision-makers with relevant content.
- You identify which segments have the most potential.
Read more about this here:
Chapter 4: Target Audience Analysis with B2B Databases – The Game Changer
You can brainstorm for a long time, or you can simply use real data.
With a B2B database like Daten-Krake, you gain access to thousands of verified company addresses – filtered by industry, location, telephone number, email, contact persons, and much more.
Advantages of B2B databases
- Fast: Addresses available for download immediately.
- Precise: Only relevant companies.
- Up-to-date: Regular data maintenance.
- Scalable: Ideal for start-ups, SMEs, and agencies.
Example
Do you want to target IT companies in Munich with 10–50 employees?
→ Enter the filters, download the list, and start your campaign.
That is how simple lead generation is today.
Relevant practical article:
Practical example: How B2B companies define their target group – Read more about it here
Chapter 5: Comparison of target group analysis methods
Conclusion: The combination of CRM data + an external B2B database provides the best results.
With Daten-Krake, you can build your target group analysis in a data-driven way – without months of research.
Chapter 6: Lead generation and buying addresses in B2B
Once you have defined your target audience, it’s time to get down to business: lead generation.
This is where B2B addresses come into play.
Benefits of buying B2B addresses
- You reach relevant companies immediately.
- You save sales time.
- You can test campaigns in a targeted manner.
Example of use
- Define your desired segment.
- Purchase suitable addresses from Daten-Krake.
- Launch your personalized email or LinkedIn campaign.
- Measure the response and continue optimizing.
Important: Choose providers with GDPR-compliant data. This is the only way to ensure your campaigns remain legally compliant.
Buying company addresses & address lists: The ultimate guide – Read more here
Chapter 7: Practical Guide – How to Conduct Your Target Audience Analysis
Step-by-step
- Define your goal: What do you want to achieve (sales, marketing, market research)?
- Determine criteria: Industry, size, region, purchasing power.
- Collect data sets: e.g., via data scraping.
- Start analysis: Identify patterns, trends, and clusters.
- Test segment: Launch a small campaign, evaluate feedback.
- Refine results: Adjust target groups and scale.
Result: A razor-sharp target audience that actually responds to your offers.
Conclusion: Your target audience is already waiting – you just need to find them
A good B2B target group analysis is not a luxury, but the foundation of your success.
The better you know your ideal customers, the more effectively you can sell.
Get your ideal customers now with Daten-Krake:
Thousands of verified company addresses for your next campaign – available for immediate download.
FAQ: B2B Target Audience Analysis
What is a B2B target audience analysis?
The analysis that companies use to determine which other firms are potential customers – based on data such as industry, size, or location.
How do I define my B2B target audience?
By identifying the market, decision-maker roles, and needs. Tools like Daten-Krake provide the appropriate company data.
Where can I get B2B leads?
From providers like Daten-Krake, which offer verified, GDPR-compliant company data.
Why is target audience segmentation so important?
Because this allows you to concentrate your resources on the most profitable segments.
How can I analyze target group data?
Whether through CRM systems, spreadsheets, or AI-powered tools – the main thing is that you work with clean data.