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Services – AI-powered audience segmentation

We make audiences predictable.

We use AI to condense your market, CRM and interview data into sharply defined segments – with needs, willingness to pay and the right messaging. No gut-feel personas, but solid ground for decisions.

  • 31 %Price-driven buyers
  • 27 %Quality-driven professionals
  • 24 %System modernisers
  • 18 %Premium specialists
65,000 records → 4 segments
Bundesagentur für Arbeit
EUL
Emmi Group
Geistlich
Die Haftpflichtkasse
Julius Meinl
NLB
Bundeswehr
Design Offices
RWS
Schüller Möbelwerk
Scout24
Edeka
Kiwi
UBS
Freiöl
Quirion
Flatfox
365heroes
Anibis
A.Vogel
BDT
Bee living
Bundesagentur für Arbeit
EUL
Emmi Group
Geistlich
Die Haftpflichtkasse
Julius Meinl
NLB
Bundeswehr
Design Offices
RWS
Schüller Möbelwerk
Scout24
Edeka
Kiwi
UBS
Freiöl
Quirion
Flatfox
365heroes
Anibis
A.Vogel
BDT
Bee living
COREPEL
DAV
EasyCredit
Fellows
GPO
Homegate
Kitzbühel
Lista
Berchtesgaden
QBA
RCA
SMG
St. Moritz
Swiss Krono
TEB Genoflex
Trendsactive
Tutti
VR TeilhaberBank
WAB
WBG Nürnberg Immobilien
WICKLEIN
ZEN
COREPEL
DAV
EasyCredit
Fellows
GPO
Homegate
Kitzbühel
Lista
Berchtesgaden
QBA
RCA
SMG
St. Moritz
Swiss Krono
TEB Genoflex
Trendsactive
Tutti
VR TeilhaberBank
WAB
WBG Nürnberg Immobilien
WICKLEIN
ZEN

The problem

Gut feeling doesn't scale.

Most companies know their customers from individual conversations, not from their data. The result: campaigns that address everyone and reach no one.

Personas without a data base

Profiles from workshops three years ago. They describe wishful customers, not real buyers.

Unknown willingness to pay

Discounts replace positioning. Not knowing where your value lies means giving away margin to discounts.

Data in silos

CRM, sales and market studies sit side by side. Nobody brings them together.

Waste in campaigns

One message for all channels. High media cost, low conversion, no learning curve.

How we work

Condense. Segment. Validate. Decide. Activate.

Not a black-box tool, but a methodical process: AI handles condensation and pattern recognition across thousands of data points. Our strategists validate, interpret and translate the findings into brand decisions.

01Week 1–2

Data condensation

We bring together what you have: CRM, studies, sales material, websites. AI condenses every source to its core statements.

Outcome: Condensation dossier with hypotheses – documented source by source.

Need profile of a segment with scales for demographics and attitudes
Need profile per segment
02Week 2–4

AI segmentation

AI models analyse needs, buying motives and willingness to pay and form sharply defined segments, naturally extendable to further markets.

Outcome: Segment map with price ranges and potential sizes.

Segment map showing the distribution of audience segments across Germany
Segment map with potential sizes
03Week 3–6

Validation in the market

Interviews with customers, dealers and non-customers test the AI hypotheses. A coverage analysis continuously shows where to follow up.

Outcome: Validated segments plus gap analysis: self-image vs. external perception.

Radar chart comparing a segment's value profile against the mean of all personae
Segment checked against the market mean
04Week 6–8

Scenarios & positioning

From segments, competitive landscape and brand codes we develop scenarios with clear consequences for portfolio, pricing and brand management.

Outcome: Decision paper for the management or supervisory board.

Overview of the four identified audience clusters with their labels
Clusters with a clear profile and name
05from week 8

Activation in campaigns

Every segment gets its own approach: messages, channels, creatives – set up measurably.

Outcome: Campaign playbook per segment including measurement concept.

Four segment-specific campaign visuals side by side
Its own imagery per segment

From practice

Segmentation that carries decisions.

Case 01 – Industrial group

A Swiss industrial group with three brands for workshop and operating equipment faced one question: how do we position the brands against each other – and where is the potential in the mid-price segment?

What we delivered

  • 30 sources condensed into a hypothesis dossier
  • AI segmentation of the DACH market by needs and willingness to pay
  • Validated through more than 20 interviews with AI-supported coverage analysis
  • Brand architecture scenarios as a paper for the top governing body
65,000+

Customer records analysed

20+

Interviews internal & external

30

Sources systematically condensed

<10

Weeks to the decision paper

Case 02 – Micro-segmentation

Gen Y & Gen Z micro-segmentation

Instead of broad demographics, our AI model delivers a psychographic micro-segmentation – with immediately actionable implications for messaging, channels and creative approach.

To AI system implementation

more precise audience targeting through AI segmentation

Persona sheet “The spontaneous, adventurous explorers” with motivators, scales and media usage
A sheet per persona
Persona sheet “The health-conscious optimists” with motivators, scales and media usage
Pain points and wow factors
Roger Tschallener
In IDEENHAUS we have found a partner for our diverse brand projects who supports us constructively and competently, even with complex challenges.
Roger Tschallener, Head of Marketing Strategy, SMG Swiss Marketplace Group
Cover of the executive summary “Sinn oder Zaster?” on AI segmentation

Study

How well does AI segmentation really work?

How an AI segmentation runs, which data sources it needs and how it compares against classic market research – using a concrete example.

  • Process and data sources of an AI segmentation
  • Comparison with classic market research
  • Executive summary in German and English

FAQ

Frequently asked questions

Let's create your Success Story!

30 minutes, no strings attached: we look at your data situation together and tell you honestly whether and how an AI segmentation will have an impact for you.

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