Profiling Insight Sessions: Psychology meets data-driven marketing
Special Offer 30% - The current launch pricing ends in
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Most of the challenges faced by companies in the marketing environment
- Data silos prevent a holistic view of the customer.
- Marketing measures are often based on assumptions rather than sound knowledge.
- Personalization falls short of expectations.
- Campaigns do not achieve the desired conversion rate.
- MarTech tools are not used optimally.
Do you really understand your customers?
Many companies collect clicks, transactions and open rates – but they don’t know the why behind customer behavior.
With the Customer Insight Check, Brandmind provides the psychological explanation behind the behavior.
This creates a new form of data-driven marketing with psychometric data: psychological customer insights, precise target group analysis and a higher conversion rate.
Without deeper customer insights, without targeted psychological segmentation and without a real understanding of customer needs, your marketing remains blind.
What if you knew how your target group thinks and feels?
Our Solution
Our “Profiling Insight Session” combines personality & behavioral psychology insights with data-driven approaches to optimize your marketing strategies.
Your marketing doesn’t need more tools.
It needs psychological clarity about your customers.
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KPI uplift in campaigns
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Higher Conversion Rates
%
Higher customer satisfaction
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More revenue
OUR SPECIAL OFFERS - 30% OFF
Prices reflect our early access launch until May 31st
That’s what you get out of a Profiling Insight Session:
Reveal psychological drivers behind clicks, transactions & behavior
→ Understand what really moves your customers – not just what they do, but why they do it.
Unlock new segmentation potential based on psychometric profiles
→ Go beyond demographics and target groups with deep personality insights.
Improve personalization and performance at every touchpoint
→ Tailor campaigns, journeys and messaging to match real inner motivations.
Increase ROI with data that thinks like your customer
→ Make your existing data smarter, with immediate wins in conversion, satisfaction & revenue.
Create future-proof strategies based on behavioral & personality psychology
→ Don’t guess. Use proven psychological patterns to reduce risk and increase effectiveness.
Ideal fit for a partnership
We don`t work with everyone and that`s intentional
We only accept clients who…
✔ are ready to use data beyond dashboards
✔ are open to psychology-driven marketing
✔ have the internal buy-in to make real changes
✔ understand that data is an asset and is essential for customer experience on any touchpoint
✔ want to take their customer experience to the next level through serving the customer and not just through collecting data
If this sounds like you, we’d love to meet you.
If not – we’ll point you to the right place.
WHY BRANDMIND?
We revolutionize your Customer Marketing Approach
Most strategies rely on demographic assumptions. We work with psychological depth.
At Brandmind, we translate psychometric data into meaningful business decisions. We combine behavioral science, real-world data and technology to decode the patterns behind human behavior – and turn them into actionable segmentation, communication and ethical customer experience strategies.
Our approach isn’t based on personas or guesswork. It’s based on empirical research and how people truly perceive, decide and act – across every touchpoint in your customer journey.
Because markets evolve. But a human bond stays.
What customers say about us
I am very satisfied with the cooperation with Christina Hoffmann and Brandmind. Thanks to her expertise and commitment, we were able to significantly optimize our direct mail campaigns. Christina not only developed creative and effective strategies, but also achieved a significant increase in conversions. Her professional approach and extensive knowledge have been instrumental in moving our project forward. Thank you Christina, I look forward to new projects with you.
We worked with Brandmind before and after Covid 19 and this approach helped us to rocket our transaction and volume level overcoming the Pandemic Effect faster.
FAQ
What is the difference between psychometric profiling and classic segmentation?
Classic segmentations are usually based on existing data, such as behavioral data or already enriched or purchased socio-demographic data and segmentations (e.g. age, income, job function, Sinus Millieus, Roper Consumer Styles, etc.).
Behavioral data says something about what people have bought in the past. This is a good start, but the informative value for cross-selling into other areas or products is still limited. In addition, behavioral segmentation does not tell us why people buy specific products. And this form of segmentation also provides no information about how exactly to communicate in order to effectively trigger behavior.
Socio-demographic data and segmentation provide information about potential lifestyles based on social statuses and other personal specifications (e.g. single, family, partnership). On the one hand, this data is highly variable and must be updated at a high frequency and, on the other hand, it also provides little insight into why people buy and, above all, how exactly to communicate in order to effectively trigger behavior with the communication. This form of segmentation is justified, but on its own it has virtually no informative value. And in mass data, these forms of segmentation become diluted.
Psychometric profiling does not replace these segmentations, but complements them or even builds on the other segmentations and fills the existing customer insights gaps as to why people buy. As a result, there is more potential for cross-selling. At the same time, profiling provides a precise framework for how to communicate specifically for each psychological type (colors, design, text, product) in order to arouse interest and trigger behavior. Psychology is a very stable segmentation form and needs every 5-10 years adjustment on already profiled customers.
Who is psychometric profiling and the workshop suitable for?
Basically, it is exciting for companies that have understood that customer data is an asset that makes the most important contribution to customer experience and therefore to increasing the company’s turnover and value. This mindset, combined with the desire for digital transformation with new technologies such as AI or new, digital customer touchpoints, is the right basis for psychometric profiling.
Data-driven psychometric profiling is suitable for all larger SMEs and corporations in the B2B & B2C market that either already have additional data about the customer (such as socio-demographic segmentation or data) in addition to classic behavioral & transactional data or generally want to invest heavily in the topic of customer data & insights in the future.
Technologies and customer interaction processes must also be optimized or introduced so that the handling of valuable customer insights such as profiling can achieve maximum impact and can be used on a larger scale in an ethically way.
What data do we need for this?
Minimum requirements would be transactional data, socio-demographic segmentation or enrichment as well as product data.
Further behavioral data, such as digital affinity or interaction with advertising content, etc., would be nice to have.
How does this differ from normal data analysis or data science?
Standard data analysis or data science approaches are based on existing transaction and behavioral data and previously known forms of segmentation from socio-demographics (Sinus Millieus, Roper Consumer Styles, Limbic Types, etc.).
These forms of segmentation have not been developed scientifically, nor are they strongly based on psychography.
Psychometric profiling initially links the content of existing behavioral and socio-demographic data with pure psychographics. This means that an additional data element is not simply “bought in”, but that it is supplemented or enriched with psychography based on behavioral patterns and socio-demographic data points. A new and very valuable data point is added.
This matching requires special expertise from the field of psychology, as a psychological, data-driven rule framework must always be developed first for meaningful data matching. This forms the basis for extrapolation to the entire customer base. This rule framework cannot be developed by general data analysts or data science specialists.
What does this mean for our customer journey?
Through psychometric insights, the customer journey is not only understood based on click data, but also optimized emotionally and psychologically.
This allows trigger points, decision-making behaviour and buying motives to be addressed in a targeted manner – for a personalized journey that works.
This not only makes the customer journey more transparent, but also more relevant. Psychometric profiling provides deeper insights into the motives, needs and decision-making logic of different target groups.
This means that every touchpoint – from the approach to the offer to the conversion – can be designed much more precisely. The effect: measurably higher relevance, improved user experience and a significant increase in the conversion rate along the entire journey.
What is an ethical customer experience?
An ethical customer experience focuses on people – not just performance. It is based on the transparent handling of data, clear communication and the aspiration not to manipulate customers, but to truly understand them.
At Brandmind, this means
- Data is not misused, but interpreted sensibly
- Customers are not deceived, but honestly met
- Personalization is not based on tricks, but on genuine psychological relevance
Our psychometric models analyze unconscious motives – but never to the detriment of the individual.
We believe in a new form of customer interaction: data-driven, psychologically sound and respectful.
Because a customer experience is only truly successful if it is based on trust, transparency and fairness – not algorithmic overreach.
Is this all compliant with data protection regulations?
Yes, that is indeed the case. Because we work 100% without personal data. We receive anonymized customer databases with fake customer ID numbers. Care is also taken to ensure that only data that cannot be traced publicly is exchanged.
If companies now want to exploit the full potential of psychometric profiling in the long term in a fully automated manner, it is imperative that “ethical customer interaction measures” are introduced in parallel. This means that the company must act in the direction of transparency of data use in continuous customer communication.
The aim should be to create a win-win situation in the long term. Companies voluntarily receive deeper customer insights, which they can use with the customer’s consent, and customers receive a massively improved customer experience with added value.
We support our clients in growing into an “ethical, hyper-personalized, next-generation customer experience”.