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Pricing, Data, and the Future of Insurance: A Conversation with Michael Nadel

Banking on Information · 2025-09-15 · 15 min

0:00--:--

Key moments - from our scoring

Substance score

54 / 100

Five dimensions, 20 points each

Insight Density11 / 20
Originality10 / 20
Guest Caliber12 / 20
Specificity & Evidence9 / 20
Conversational Craft12 / 20

Michael Nadel brings 15+ years of experience across consulting and industry roles to explore the intersection of pricing, data, and future insurance markets. For carriers and brokers, he emphasizes the critical role of pricing as a strategic lever for growth - a surprisingly overlooked component despite its impact on revenue, profitability, and customer acquisition. He shares concrete examples: helping one carrier redesign home and auto products into good-better-best tiers to lower average customer age, with market adoption matching their quantitative predictions almost exactly. For InsureTechs and service providers, the focus shifts to monetization strategy and packaging, where Nadel advises early-stage companies on go-to-market approaches that build founder confidence and attract acquisition interest. Looking toward 2035, Nadel predicts two seismic shifts: autonomous vehicles and electric vehicle adoption will force a fundamental reframing from individual-based to vehicle-based insurance risk assessment, creating entirely new data and analytics requirements; simultaneously, AI and large language models will commoditize traditional software interfaces (policy administration systems, agency management systems), making proprietary datasets - not UI/UX - the real competitive moat. He recommends companies immediately begin hoarding proprietary data assets similar to how compensation data providers operate, restricting access and reuse rights to maintain strategic opacity.

Key takeaways

  • →Pricing is the 'tip of the strategy spear' that signals market positioning, drives revenue, and shapes customer acquisition strategy, yet InsureTechs and carriers frequently set prices without rigorous methodology.
  • →Autonomous and electric vehicles will shift property and casualty insurance from assessing individual risk to assessing vehicle risk, requiring entirely new data products and analytics offerings.
  • →Proprietary datasets will become the primary competitive moat as AI makes traditional software applications commoditized; companies should acquire and tightly control access to unique data rather than competing on UI/UX.
  • →Market research and quantitative studies can predict product adoption with high accuracy, enabling carriers to confidently implement tiered product structures (good-better-best) that achieve growth targets.
  • →InsureTech success increasingly depends on demonstrating early revenue generation and validated customer willingness-to-pay, which accelerates acquisition and partnership opportunities.

Guests

Michael Nadel

Topics in this episode

Large language modelsProperty and Casualty InsuranceElectric vehiclesAutonomous vehiclesSimon KucherPricing strategyauto insurancelife and health insuranceInsureTech monetizationproduct packaging

Questions this episode answers

How should insurance carriers approach product pricing and structure to grow their customer base?

Carriers should conduct quantitative market studies to predict how product restructuring (like tiered good-better-best pricing) will impact adoption, then run proof-of-concepts; Simon Kucher's approach of defining product structure and customer segmentation based on market research can yield highly accurate adoption predictions and significant premium growth.

What is the biggest overlooked challenge in InsureTech monetization?

Most InsureTechs spend heavily on product development, marketing, and branding but set prices casually ('thumb in the air'), despite pricing being the most important lever for revenue and profitability; structured pricing and packaging strategy is rarely prioritized despite its criticality.

How will autonomous vehicles and EVs change insurance business models?

As vehicles become autonomous and possibly owned rather than purchased individually, insurance will shift from underwriting individual drivers to underwriting vehicles themselves, requiring insurers to acquire new data products and analytics capabilities focused on vehicle risk rather than driver behavior.

What competitive advantage will InsureTechs have in an AI-driven future?

Proprietary datasets will be the primary moat; as large language models commoditize traditional software interfaces (policy administration systems, agency management systems), companies that control unique data will maintain leverage, similar to how compensation data providers restrict reuse and cross-customer application.

What should InsureTechs focus on today to prepare for AI disruption?

Rather than investing in beautiful UI and user experience, InsureTechs should prioritize acquiring proprietary data assets and building access controls similar to data licensing models, since LLMs will enable any company to quickly replicate generic software applications via APIs.

What our scoring noted

Our reviewer’s read on each dimension, with quotes from the episode.

Insight Density

11 / 20

The episode contains some substantive points about pricing strategy, AI's impact on insurance software, and future shifts in auto insurance (from individual to vehicle-based), but these insights are often stated in general terms without deep elaboration. The discussion of proprietary data as a moat is useful but brief. Much of the conversation is introductory or involves the guest restating consulting frameworks (good-better-best, etc.) without novel depth.

pricing is really the tip of the strategy spear ultimately right? It is the signal you're sending to the market.
with these large language models and their ability to produce insights. I just want the data and I want to manipulate it in 10 different ways as quickly as possible.

Originality

10 / 20

While the observation about data as a moat and AI shifting software design toward data-first models is somewhat fresh, much of the framing relies on industry-standard consulting language. The future predictions about autonomous vehicles changing insurance risk models and AI-driven workflows are logical extrapolations but not particularly contrarian or first-principles. The pricing discussion, though valid, recycles standard frameworks about price as strategy.

the shift from ensuring the individual to ensuring the vehicle
I just want the data and I want to manipulate it in 10 different ways as quickly as possible

Guest Caliber

12 / 20

Michael Nadel is a partner at Simon Kucher with relevant consulting experience in insurance and monetization strategy. However, he is a consulting advisor rather than an operating executive who has built or scaled an insurance business or InsureTech. His insights come from client engagements rather than hands-on entrepreneurial or operational experience at scale. This limits his caliber relative to founders or executives who have directly navigated the challenges he discusses.

I'm a partner at Simon Kucher and the Head of North American Insurance Practice
I've gotten the opportunity to help some early stage companies figure out how to get off the ground and develop their first product offering

Specificity & Evidence

9 / 20

The episode lacks concrete numbers, named companies, or specific data points. The guest references generic case studies (an early-stage company that got acquired, a carrier that wanted to lower customer age) without revealing identities, metrics, or timelines. The discussion of AI, autonomous vehicles, and future markets is largely abstract. No revenue figures, adoption rates, pricing benchmarks, or measurable outcomes are provided.

this company in particular, a couple of months later actually got acquired
one in particular that comes to mind was work that we were doing to try and lower the average age of the customer base of a specific carrier

Conversational Craft

12 / 20

The host asks reasonable open-ended questions and attempts to summarize insights, but rarely pushes back or challenges the guest's claims. Questions are mostly confirmatory ('Yeah, no, you're absolutely right') rather than probing. The host invites speculation about the future but doesn't pressure the guest for specifics, timelines, or evidence. The conversation feels cordial but surface-level; no productive disagreement or rigorous follow-up occurs.

Yeah, That is a very interesting intersection of insurance
Yeah, no, you're absolutely right. Everything has a price. right?

Conversation analysis

Computed from the transcript - who did the talking, and the words that came up most.

Most-used words

michael26nadel23rutger22insurance19faassen18data13interesting12market9product9service8perspective7part7customers7customer7different6help6

Episode notes

In this episode of Banking on Information, Rutger van Faassen interviews Michael Nadel, a partner at Simon Kucher and head of the North American Insurance Practice. They discuss the critical role of insurance in enabling businesses and individuals to take risks, the challenges faced by both insurance companies and InsureTechs, and the importance of pricing strategies. Michael shares insights on how advancements in AI and technology will shape the future of the insurance industry, emphasizing the need for companies to focus on proprietary data as a valuable asset. Takeaways Insurance enables individuals to take risks and start businesses. Consulting allows for impactful changes in the insurance sector. Different strategies are needed for carriers and InsureTechs. Pricing strategy is crucial for revenue generation. AI advancements will shift the focus from individuals to vehicles in insurance. Data insights will become more valuable than traditional software applications. Companies should focus on acquiring proprietary data sets. The insurance landscape will evolve with autonomous vehicles. User-driven insights will redefine software applications.

Full transcript

15 min

Transcribed and scored by The B2B Podcast Index.

Rutger Van Faassen (00:01.834) Hello and welcome to another episode of Banking on Information. Today my guest is Michael Nadel, who is a partner at Simon Kucher and the Head of North American Insurance Practice. Welcome Michael to the podcast.

Michael Nadel (00:16.908) Yeah, Thanks, Rutger for having me. I appreciate it. Rutger Van Faassen (00:20.

2) Now we ask everyone that same first question, so here it is for you. Michael, why do you do what you do? Michael Nadel (00:27.372) Yeah, you know, it's interesting.

I spent my career in the financial services space covering a lot of different topics bouncing both from consulting into industry. And the thing that, you know, I really love about the insurance sector is just really being able to impact you know, businesses and individuals at its core. Insurance really enables the business environment that we live in to operate. Individuals couldn't take the risk to go out and start their own businesses without the backing of insurance.

People couldn't buy houses without the backing of insurance because the risk of, you know, something going wrong is just so large. And so as a purpose driven industry, you know, I was really driven to that from insurance. And then from a consulting perspective, what I get to do is so interesting because I can really see the impact that it has on all the companies that I work with. And the ability to see that impact firsthand, whether that's helping an early stage company where to get off the ground and develop their monetization strategy or whether that's working with Fortune 500 companies and watching them change the way that they go to market based off the recommendations that we make is really impactful and it's something that I really enjoy as a part of what I do.

Rutger Van Faassen (01:42.846) Yeah, That is a very interesting intersection of insurance, where that really supports people to do things and help them with risks that are out there. But also your consulting part, you also like to help people and move things along. That is a great WHY.

Now, what is the number one challenge that you help your customers solve? Michael Nadel (02:07.086) I'm going to cheat and maybe give give two. And maybe I'll explain sort of where you know, I play within the insurance ecosystem.

And that's really the whole ecosystem across property and casualty, life and health and annuity, surety, warranty, InsureTech services, managed service providers. There's a number of things ultimately you know, that we cover. And so, when I think about the market, I really think about the producers, the agents, the carriers, the brokers, the people that ultimately Rutger Van Faassen (02:09.802) Mm-hmm, yeah.

Michael Nadel (02:37.12) sell the insurance. And I also think about the folks that sell things to those companies. So, InsureTech, the service providers.

And the way that we service both of them is a little bit different. So, on the carrier, agent, broker side, we're doing traditional sort of insurance strategy growth topics. That might be looking at the products for the insurance company itself, the home, the auto product, making sure it meets customers needs. It could be distribution strategy, making sure you're getting the customer the product in their hand in the right channels.

And so from a carrier and agent and broker perspective, it enables significant growth opportunities to really expand their services, their offerings, and their customer base. For InsureTechs and service providers, we're doing things that Simon Kutcher is very famous for, which is monetization strategies. It's a lot of work around pricing and packaging of offerings. In the InsureTech space in particular, that's really interesting because I go to a lot of these conferences and I spend time in the insurance community and it's just not really a hot button topic, but it's something that every insure tech or service provider and every business in the world has to think about, right?

And so I've gotten the opportunity to help some early stage companies figure out how to get off the ground and develop their first product offering and bring it to market. And I've also helped some of the largest companies in the insurance space, you know, redefine the way that they cross sell upsell and think about their base. Rutger Van Faassen (04:26.836) Yeah.

Two types of customers. right? Like The insurance companies themselves, and then the tech that helps the insurance companies. And yes, they have slightly different kind of challenges, but it is interesting to see how you help them both create value and create a better proposition that extracts more of the value out of what they're offering.

That is very, very powerful. Now, when that goes well, how do the customers... Michael Nadel (04:32.494) Yeah.

Michael Nadel (04:36.578) Yep. Michael Nadel (04:50.401) Yeah, absolutely.

Rutger Van Faassen (04:56.288) talk about that. What do they say when you deliver that value for them? Michael Nadel (05:01.

206) Yeah, so let's talk about the InsureTechs and service providers first. right? So, you if you take that story of the early stage company, this is a company who, you know, that I'm thinking of right now built an innovative new offering. right?

But they're not sure essentially, who in the value chain will buy it, what they'll pay for it, how you bring it to market. And ultimately, we did a number of studies to help them figure out the answer to that question. And as a part of it, they They then went to some of their first conferences with confidence around their pricing, the feedback that they had. came back to immediately and They were like, hey, this is awesome.

People are really resonating with this. I'm able to talk to the product, sell this thing. And this company in particular, a couple of months later actually got acquired. And part of the story was the ability to generate revenue early on and really show that there was a customer base that was willing to pay for this product.

You know, on the other side of the equation, if we started thinking about the carriers and the benefit that they get out of it, I'm often talking to them about sort of like market access and growing their customer base in an effort to grow premiums and ultimately do it in a way that's profitable. So I've worked with a number of carriers on some of these topics and one in particular that comes to mind was work that we were doing to try and lower the average age of the customer base of a specific carrier.

And so as Doing that, we redefined the product structure of the home and auto products that they were selling. And we did again, a number of market studies to predict what we thought would happen if we broke the product into a different, good, better, best type of structure. And at the output of it, it was really interesting because they ran a proof of concept and our predictions based off of the quantitative studies we ran during the work was almost spot on to market adoption.

And that's really cool, right? From a consulting perspective, when you go into something and you plan it out and then see how it comes into fruition, it's not only great Michael Nadel (07:11.604) for the team that works on it, but from a client perspective, it resonates so deeply to be able to go in and say, we want to accomplish this, and in such a short order, turn around and actually do it. Rutger Van Faassen (07:22.

996) Yeah. Yeah. So helping your customers sort of understand how they can grow their business, using data to do that, and then being confident in it. And also what you're describing with the, the InsureTech companies, again, nothing there it goes back to your expert advice, really helped them not only set the right pricing and the right sort of proposition, but also gave them the confidence to talk about it in the right way.

And I can see that that is very valuable. Michael Nadel (07:37.102) Yeah. Michael Nadel (07:50.

272) Yeah. And, you know, just On that last point, it just has really surprised me in the community that there's so much support and consulting services that are out there for, you know, you name it, but one of the most important, if not the most important thing for any service company product feature is the price that you set for that product. Rutger Van Faassen (08:02.954) Mm-hmm.

Michael Nadel (08:11.882) It's really the tip of the strategy spear ultimately right? It is the signal you're sending to the market. It's the way that you're going to generate revenue and ultimately profitability.

It's the customer acquisition strategy. And you'd be so surprised how often you know, people put all this work into developing something, marketing it, branding it. And then you ask how they came up with the price and it's sort of like thumb in the air and Hey, no one's complained about it yet. Right.

And so being able to be a strategic thought partner to that part of the space is really interesting and also enables me and my team to really see the full service ecosystem for the carriers that they support and how they procure these products, how they think about them from buying and using them from customers. And it's just really sort of a pleasure to be able to support that part of the ecosystem that way. Rutger Van Faassen (09:01.876) Yeah, yeah, no, you're absolutely right.

Everything has a price. right? And it is a very powerful mechanism that basically determines how much value you are getting from it. And it is interesting to see how it's sometimes overlooked, but it is a very crucial element of the whole mix.

Now, I like to do this thing called Futures Thinking. So we don't know what the future is going to bring, but we can think about a possible future. And I'm sure you do that quite often, even with your clients probably. Michael Nadel (09:05.

078) Right. Michael Nadel (09:17.922) Yeah, absolutely. Absolutely.

Rutger Van Faassen (09:30.528) think 10 years out. Let's put ourselves in 2035. What do you think the the insurance industry landscape is going to look like?

Michael Nadel (09:40.012) Yeah. So I'll start with the same, same way we've been talking about this, what the carriers, brokers and agents think, and then sort of the InsureTech community. And I think, you know, Obviously the most sort of pressing thing that's going on at the moment is advancements in AI and AI tech.

on the, On the carrier side, it's actually like it within property and casualty, maybe, you know, another piece of tech that's sort of actually changing more. If you think about traditional auto insurance today, You know, the insurer goes out and gathers a bunch of information on Rutger, his risk, you know, what's his driving history? Has he been in any accidents? And they're looking at the individual and assessing the risk.

They also look at the car and they say, well, how much is it if Rutger you know, ends up crashing this car or what ends up happening? But in the auto industry with the advancements in electric vehicles and self-driving technology, there's likely to be a really paramount sort of shift that's going to go on, which changes from ensuring the individual to ensuring the vehicle. Like it's not out of the question. If you think about like what the Jetsons predicted with the TV of you know, you walk outside and a car picks you up.

In the future it wouldn't be crazy to say we don't actually own cars anymore. We sort of borrow them. We we let that use the free time to pick up other people. Whatever that ownership structure looks like.

And so if you think about the insurer's perspective, you're going to start from moving to ensuring the individual to probably ensuring the vehicle. Which again means you know, from the people that sell data and analytics and things into the insurer today, they're going to have to come up with a whole new set of products, around you know, helping the insurer to assess that risk correctly. And that's just going to be a huge shift in the market, the way people live. You know, It's really sort of a taste of the future that I see coming from an auto perspective.

Michael Nadel (11:45.624) On the InsureTech side, I think it's really interesting and I will touch on the topic of AI, know, and large language models and some of the tech that's coming out around there. I think there is going to be such an emphasis and push towards data as being the valuable asset. know, Traditionally people have built software with a very specific purpose.

You build these beautiful UI and user experience flows and screens. you know, At the end of the day, some of that becomes a bit of a commodity. right? Because you might've built a graph that you think is interesting for me to look at from an analytics perspective, but the reality is with these large language models and their ability to produce insights.

I just want the data and I want to manipulate it in 10 different ways as quickly as possible. So the monolithic software application that's really driven much of a lot of industries, but also the insurance industry, think about policy administration systems, agency management systems. At the core of it, it's really just a data transfer mechanism. And I think like AI is going to sort of change the face of software pretty dramatically.

And so, you now I think these InsureTechs really need to be focused on getting unique data insights, less than focusing on building the prettiest application that looks the best. Because to me, that's what's going to become the most valuable here, you know, in a couple of years out. Rutger Van Faassen (13:20.234) Yeah, no, that Very, very interesting.

So your first point around kind of like how much more autonomous vehicles, how that's going to change the dynamic there in the insurance part. And then also how AI is going to dramatically change how people will use software and how it's much more going to be prompts driven. right? And making the user, put the user in the driver's seat and not necessarily the cookie cutter, kind of like, Hey, this is the report that I thought of for you that you're going to have to look at.

It's going to be much more the user deciding it. Michael Nadel (13:38.839) Yeah. Michael Nadel (13:45.

472) Right. Yeah, exactly. mean, that, that used to be the benefit. That's what sped up my workflow, but now I've got my own sort of workflow capabilities.

And so that just becomes a little less useful. Rutger Van Faassen (14:00.052) Yeah. So if that future becomes reality, what can we do today to get ready for that?

Michael Nadel (14:06.764) Yeah, I I already see it, right? So I do a lot of demos from people trying to sell me things, right? that make my services better.

And they often will show me you know, these pretty screens and look how good our tool looks. And the thing that I'm immediately asking them for is, you know, is the data that you have proprietary? Where are you pulling this from? And if these things are coming from publicly available sources or things that I could get at.

Rutger Van Faassen (14:12.51) Yep. Yep. Rutger Van Faassen (14:25.

93) Do it. Michael Nadel (14:32.65) I can just start to, you know, I'm not a developer, but with these large language models, I can quickly spin up an API that can pull you know, from these data sets myself and essentially recreate a lot of these applications. So again, like if I were these companies, I would be trying to acquire and hoard proprietary types of data sets, keeping them very close to the vest.

In terms of the way that you enable customers to use access or relicense them or reuse them and hold on to that data. The same way sort of these sales compensation data sets and things have done over time. They collect this information and they allow you to use it for a purpose, but you're not allowed to sort of use it for anything that you want to do or reuse it with a different customer. I think that same kind of mindset Rutger Van Faassen (14:55.

882) Mm-hmm. Rutger Van Faassen (15:02.602) Yeah. Yeah.

Michael Nadel (15:25.774) is gonna start to proliferate itself a lot more throughout these software oriented companies going forward because the black box needs to maintain some of its opacity in the future, I think. Rutger Van Faassen (15:40.48) Yeah.

No, very, that's very interesting. So think about proprietary data because it's so easy to access publicly available data. that it is really try to build a moat around that. think that is a very good, um, idea for that.

And that's probably also a good point to wrap up this episode. Thank you very much, Michael, for being on the podcast today. Michael Nadel (16:00.45) Yeah Rutger, Thanks for having me.

It was a great conversation. I appreciate it. Rutger Van Faassen (16:03.978) Perfect.

And until next time, choose to be curious.

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