Company sizes in OMRviewer
How to use segmentation for appropriate messaging and prioritization
In OMRviewer, buyer intent data can be filtered by company size. Filtering allows you to segment identified companies and classify interest signals in a structured manner.
This article describes how filtering works in OMRviewer and how it can be used in marketing and sales processes.
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Why filter by company size?
Company size provides additional structural context for strategically classifying buyer intent signals. It helps to interpret interest not in isolation, but within the organizational framework of the respective company.
Knowing the company size allows conclusions to be drawn about, among other things:
- the structure and complexity of decision-making processes
- different information needs and expectations
- the appropriate type and depth of communication
- the reuse of data in marketing, sales, and CRM processes
By filtering according to company size, buyer intent data can be:
- classified into segments
- used as a basis for differentiated messaging approaches
- consistently transferred to downstream processes
The size of the company is not used as an evaluation criterion, but rather as a tool for deriving a suitable approach based on existing marketing and sales processes.
How it works
Create and save filters
1. Click on "Filters" in the top left corner of the overview list of identified accounts. (Accessible via "Sessions" or "Companies” in the sidebar.)

2. A panel with all available filter options will open on the right.
3. Select the “Company size” filter.

4. Specify one or more size levels.

5. Additional filters can be added if desired.
6. Click Apply to create a new filter.
The company size is displayed in OMRviewer in predefined employee categories:
- 1–10 employees
- 11–50 employees
- 51–200 employees
- 201–500 employees
- 501–1,000 employees
- 1,001+ employees
Combination with other filters
For example, company size can be combined with the intent score to further prioritize buyer intent signals within defined segments.
Example:
- Company size: 201–500 employees
- Intent score: > 20
This allows you to identify companies that show both increased interest and correspond to a clearly defined target segment.
- The more filters you combine, the smaller the result set will be.
- Build filter combinations step by step and check the resulting data set.
Application examples
Preparation of segmented outreach lists
By filtering by company size, lists of identified companies can be prepared in such a way that they can be used directly for outreach processes. In practice, this means that you don't work with a “complete list of all interested companies,” but with clearly defined segments (e.g., 11–50, 51–200, 1,001+).
- Comparability within the list: Companies of a similar size often have more comparable conditions (e.g., team structure, procurement processes), which makes outreach lists more consistent.
- Operational manageability: Teams can prioritize outreach activities and plan them in waves (e.g., first work on a segment with a high fit, then the next), instead of treating all companies equally regardless of context.
In combination with other filters (e.g., intent score), outreach lists can be tailored based on data and focused on the companies that are most relevant to you.
Deriving different messaging approaches
The size of a company provides a structural indication of how decision-making processes are typically organized and what type of information is relevant in the respective context. This does not mean that all companies within a given size category operate in the same way. However, size provides a reliable basis for systematically structuring communication and deriving different approaches in a planned manner.
Typical derivations that result from this:
- Level of information: Some segments require more contextualized information (e.g., classification, comparison, implementation framework), while others require clear key points and quick orientation.
- Argumentation logic: Depending on the segment, different communication priorities may arise, for example, with regard to implementation, organizational framework conditions, or technical integration.
- Tone and level of detail: Segmentation helps to consistently control the level of detail (e.g., short, clear introductions vs. structured information with criteria, framework conditions, next steps).
Structured transfer of buyer intent data to sales
Without segmentation, sales often receives a heterogeneous list that requires additional manual classification (“What kind of account is this?”, “How relevant is it to my area?”, “How do I approach the company?”).
Filtering by company size improves the transfer because it:
- Enables pre-qualification based on context (sales can immediately see the size range of the account).
- Supports routing and responsibilities (e.g., different teams or playbooks for each segment, if set up internally).
- Enables segment-based communication (e.g., deriving different communication approaches for each segment).
Enriching accounts and contacts in CRM
Company size is a key CRM dimension because it supports segmentation, reporting, and process logic. When buyer intent data flows into your CRM with the OMRviewer integration, company size is particularly helpful for:
- Segment fields and views: Accounts can be segmented in CRM lists, dashboards, or campaign logic.
- Consistent reporting: Performance (e.g., outreach success, pipeline development) can be analyzed by segment.
- Automations/rules: Workflows such as assignments, sequences, tasks, or campaigns can be aligned with segments (depending on CRM setup).