Stefan Muehlbauer: AI vs Human Interaction — Rethinking Affiliate Management in iGaming

Stefan Muehlbauer
Stefan Muehlbauer

Stefan Muehlbauer, Founder of Affpal Consultancy, Host of the Affiliate Manager Academy by Affiliate World, CEO Affjobs.com & Advisor at Catstats.ai

Artificial intelligence is no longer a futuristic concept — it’s reshaping the way iGaming businesses think, act, and connect.

From automated data analytics to AI-driven decision-making, affiliate management is evolving faster than ever. But with these advancements comes a big question: can automation ever replace the human understanding that drives relationships and trust in this space?

After hearing Stefan Muehlbauer share his insights at a recent iGaming conference, we wanted to explore this question in more depth. With experience leading projects such as Affpal Consultancy, Affiliate Manager Academy, and Catstats.ai, Stefan has a unique vantage point on how technology and people intersect in modern affiliate management.

AI has become a key tool in affiliate management. How has it most visibly changed the way affiliate managers work?

Stefan Muehlbauer: It started out with Data, what is not a surprise when we look at where AI comes from. Originally it was simple data analytic tools, and front ends that enabled the Managers to understand complex connections of Data Points. After that were as the logical evolution tools for prediction models to calculate payouts, expected ROI, player quality etc.

Nowadays the toolbox is way bigger and provides also tools for the basic communication with Affiliates, I put here attention on basic communication. If you look at the program or network itself there are of course way more usecases and I think there is not 1 player in the market that is not using it as least for content.

Affiliate management is often described as relationship-first. How is AI reshaping that relationship, and where is the human role still essential?

Stefan Muehlbauer: I am a very big fan of automatization and thats why we also build Catstats and its recommender system beside the Analytic tools. It suggest every affiliate automatically the offers that will be most likely the most successful ones for the partner. The tool makes the selection and provides the Affiliates the right offers and even tracking links that match them.

That is a fantastic solution to reach all the sleeping affiliates and the ones that make just a little with you. But lets face it, for the big guys in your system, it needs a more personal approach. They wanna get the offers presented by the Managers. Based on client feedback, we integrated settings that allows it to exclude partners and get all the findings extracted.

In the first case the AI does all the work, in the 2. Case the AI selects on behalf of the AM the right offers and the AM will use his Management skills to present the offers and get them live. AI is a great tool to manage the currently not so important partners and to be more efficient for the whales in your progam.

For readers interested in testing it, Catstats.ai offers a 2-week free trial (no credit card needed) and a 1-hour training session, making it easy to experience how AI can enhance day-to-day affiliate management.

The first case is oft a fantastic starting point for getting Affiliates live, staying in front of their eyes with something that is more individual than any normal newsletter can ever be and move them to the 2. case.

Through your work at Catstats.ai, you’ve seen both the power and limits of automation. Where should affiliate managers draw the line between useful AI support and overreliance?

Stefan Muehlbauer: Catstats is here to enhance the performance of every part of the Program or Network. Its for example not replacing your established Affiliate Management software, it enhances it, and so does it enhance also the work of the Affiliate Manager. What no tool can do yet, is to understand the context in the relation ship with the partner.

I can imagine in a future version that we connect to the CRM and understand in that way not only numbers of the affiliate but his entire communication with your company and make decision based on that. What is very risky to use AI to make ultimate decisions and not consider any manual review. Especially when it comes to fraud cases, that can have drastical consequences.

The role of affiliate manager is evolving. What skills will be most important in an AI-driven future?

Stefan Muehlbauer: As I also run Affjobs.com and own Affpal HR, I see the new requirements in our industry daily. Its not only AI skillz that are asked more and more for but really tools. The companies have a clear vision about their perfect manager, and that includes the knowledge of certain software. Imho the data science, will be even less important for the AM in the future.

The company will have a Data Team + AI that is doing the analytics and reporting for the manager. So the Affiliate Management on a human level will be even more important. You see that also on the conferences, you could have automazited theoretically 10 years ago already many things for what people meet. Now we have event AI and they are bigger every year, and that over all verticals that I visit.

Looking ahead, will technology or human skills ultimately define long-term success in affiliate management?

Stefan Muehlbauer: Some scholars say that we reached after Homo Sapiens the next level of Evolution called Homo technologicus. Its not a cyborg, but stands for the incredible strong connection between human and technology in all aspects of our life.

In our industry, we are here even 1 step ahead. The future success is a mix of technology provided by the company and the skillz of the Affiliate Manager, that will be people skillz but also the knowledge in getting the most out of all the technologies that are provided. By the way non of my answers were AI generated 🙂

As Stefan notes, the rise of AI isn’t about replacing people — it’s about rethinking how they work. In affiliate management, where success depends on both data and empathy, the challenge ahead lies in combining the logic of machines with the intuition of humans. Perhaps the next generation of iGaming leaders won’t choose between the two — they’ll master both.

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