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Data-driven segmentation that increases relevance and conversion in your campaigns

Data-driven segmentation that increases relevance and conversion in your campaigns

The simple version of your Segmentation maturity

Stage 1

Everyone gets the same

One consolidated recipient list. Communication is sent as “one size fits all” without segmentation.

Stage 2

Basic divisions

Segments are defined based on individual criteria such as demographics, gender, or geography. Simple adjustments are made.

Stage 3

Data-driven segmentation

Segmentation is dynamic and driven by data: behavior, purchase history, engagement, lifetime value, and predictive models. Communication is 1:1 and in real time.

Get ready for the next level—we'll help you achieve dynamic segmentation

It is not enough just to know the levels; it is about moving forward. This is where For A Fact can help:

  • We map your current segmentation model, what data you have, how you update the segments, and where automatic flows start.
  • We set goals for where you can be in 6–12–24 months and choose the segmentation strategies and behavioral mechanisms that suit you.
  • We implement automatic updates, link segments to customer journeys, and ensure that marketing and sales work on the same segment logic.
  • We train your team in how to work with segment lifecycles, prioritization, and analysis so you can respond in real time.

The result? You move from “recipients gathered in a single list” to “users in live segments based on behavior and value,” thereby achieving a significantly improved marketing effect.

What do the stages of segmentation maturity look like in detail?

What do the stages of segmentation maturity look like in detail?

Stage 1: Simple and static segmentation

Communication is general, and all contacts are treated equally. There is a lack of structure, data, and understanding of differences within the target group.

  • There is one comprehensive list of all contacts.
  • No segmentation strategy or standards for data fields.
  • Only your email address (and possibly your name) will be used as a basis.
  • Campaigns are sent out manually and are identical for everyone.
  • No use of purchase or behavioral data.
  • No testing of what works best for different recipients.
  • No automation based on segment or action.
  • You don't know who your most valuable customers are.
  • CRM and marketing are not connected.
  • Sales and marketing do not share knowledge about target groups.

Overall: Segmentation is absent; communication takes place without targeting or insight.

Level 1: Simple and static segmentation

Communication is general, and all contacts are treated equally. There is a lack of structure, data, and understanding of differences within the target group.

  • There is one comprehensive list containing all contacts.
  • No segmentation strategy or standards for data fields.
  • Only your email address (and possibly your name) will be used as a basis.
  • Campaigns are sent out manually and are identical for everyone.
  • No use of purchase or behavioral data.
  • No testing of what works best for different recipients.
  • No automation based on segment or action.
  • You don't know who your most valuable customers are.
  • CRM and marketing are not connected.
  • Sales and marketing do not share knowledge about target groups.

Overall: Segmentation is absent; communication takes place without targeting or insight.

Stage 2: Segmented and usable segmentation

The company has begun dividing customers into groups based on simple criteria and is working with campaigns that are customized to some extent. Data is used, but still mostly manually.

  • Segments are based on demographics, geography, or industry.
  • CRM and marketing platform share some contact data.
  • Basic rules are applied (e.g., “customer vs. lead”).
  • Some automatic lists are updated via data fields.
  • A/B testing is performed on individual campaigns.
  • Segmentation is still done manually, without machine learning.
  • The segments are not updated continuously based on behavior.
  • No link between customer journey and segment.
  • No prioritization of segments by value.
  • Limited collaboration between marketing and sales on segment definitions.

Overall: Segmentation is starting to create value, but it’s still static and limited in precision.

Stage 2: Segmented and usable segmentation

The company has begun dividing customers into groups based on simple criteria and is working with campaigns that are customized to some extent. Data is used, but still mostly manually.

  • Segments are based on demographics, geography, or industry.
  • CRM and marketing platform share some contact data.
  • Basic rules are applied (e.g., “customer vs. lead”).
  • Some automatic lists are updated via data fields.
  • A/B testing is performed on individual campaigns.
  • Segmentation is still done manually, without machine learning.
  • The segments are not updated continuously based on behavior.
  • No link between customer journey and segment.
  • No prioritization of segments by value.
  • Limited collaboration between marketing and sales on segment definitions.

Overall: Segmentation is starting to create value, but it’s still static and limited in precision.

Stage 3: Dynamic and behavior-driven segmentation

Segmentation is a key part of the marketing strategy. The company works with automatic, real-time updated segments and targets communication based on customer behavior and life cycle.

  • Segments are automatically created based on customer behavior and interaction.
  • Data from CRM, ERP, web, and email is gathered into a single 360° view.
  • RFM, churn, and lifetime value models are used.
  • Segments are continuously adjusted via AI or machine learning.
  • Segments are linked to journeys and automated flows.
  • Marketing and sales share insights into target groups and prioritization.
  • Real-time segmentation makes it possible to respond to behavior immediately.
  • Performance for hvert segment måles og optimeres løbende.
  • Communication is 1:1 – via email, text message, and social media channels.
  • The segmentation strategy is documented and evaluated as an integral part of the marketing plan.

Overall: Segmentation is fully integrated, data-driven, and supports the entire customer journey.

Stage 3: Dynamic and behavior-driven segmentation

Segmentation is a key part of the marketing strategy. The company works with automatic, real-time updated segments and targets communication based on customer behavior and life cycle.

  • Segments are automatically created based on customer behavior and interaction.
  • Data from CRM, ERP, web, and email is gathered into a single 360° view.
  • RFM, churn, and lifetime value models are used.
  • Segments are continuously adjusted via AI or machine learning.
  • Segments are linked to journeys and automated flows.
  • Marketing and sales share insights into target groups and prioritization.
  • Real-time segmentation makes it possible to respond to behavior immediately.
  • Performance for each segment is measured and optimized on an ongoing basis.
  • Communication is 1:1 – via email, text message, and social media channels.
  • The segmentation strategy is documented and evaluated as an integral part of the marketing plan.

Overall: Segmentation is fully integrated, data-driven, and supports the entire customer journey.

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+45 29 72 61 17