Daniel Schreiber
Analyst · JMP. Please go ahead
Thanks, Tim. As we did last quarter, we invited our shareholders, regardless of the size of their holding to post questions or to upvote questions, so we can be sure to address the issues that are deemed most pressing by our community. And looking at the most upvoted questions this quarter, we see a few central themes. One was captured by Kayun about cars and specifically tie-ins with OEMs and particularly manufacturers of autonomous cars. Another from Niel is about growth and how we're planning to outpace our competitors. And our third most upvoted question was from Sanjay with an addendum from Aria about, how AI is advancing and whether we'd consider offering it as a service to others. And finally, I'd like to address a question from Dean about blockchain and decentralized insurance and whether that poses a long-term threat to eliminate. So let me address these in turn. So regarding partnerships with car OEMs, I can definitely say that we see the power of that. And I expect it to trend that we will see more of as OEMs like Tesla and others dip their toe into the world of insurance. Cars as I said in my opening comments are morphing interconnected platforms and that has tremendous implications for risk selection, risk pricing and risk mitigation. At the same time I think that much of the benefit of the connected car to insurers is already available today through connected drivers. The mobile phone, not only does a great job of tracking risk factors, it itself is a risk factor and a risk factor that cannot be tracked in any other way. Reportedly, one out of every four car accidents in the United States is caused by texting and driving. By some estimates, driving well distracted by mobile phone is six times more likely to cause an accident than even driving while drunk. So while we're looking forward to leveraging all the tech that's embedded into next-generation cars and perhaps to partnering with OEMs in the fullness of time, we don't think we need to wait for these connected cars, which remain a tiny fraction of the cars on the road to become prevalent in order to drag car insurance into the digital age. Already today, every car, even that 1973 hand-me-down from grandma is, in effect, equipped with a slew of precision sensors capable of generating predictive insights and stream them in real time to an appropriately trained AI. All that technology is packed into the driver's pocket. And we plan to leverage that power from day one without waiting for connected cars to become mainstream. And to Neal's question about growth, as Tim just recapped, we're actually seeing not only strong growth but accelerated growth. Given how young our company is and how extraordinarily large our market is, just made that much larger by entering into the car insurance space, it's my expectation that we will see many more years of very rapid growth, something which our competitors really don't these days. And so long as our unit economics continue to be healthy and strong, we'll continue to lean into growth investments. That's what happened in Q1 and the yield is, as I say accelerating growth in force premium and in net customer adds. Also, as we continue to launch new products, we've been reporting accelerated growth in our premium per customer too. And here too, I think that we have many years of significant growth ahead of us. I hope that addresses your question. And Sanjay asked about, our AI. Given the nature of our closed-loop feedback system, our AI continually gets stronger with each customer interaction. And as we expand our product offering and broaden the scope of our relationships with our customers, our data becomes richer and indeed train our AI engine to increasingly complex, problem solving and improving capabilities. Now, there are no concrete plans for an AI day to your question. But let me share some of the specific examples that may help illustrate, the far-reaching impacts of AI technology on our business. One thing, that, we call Watchtower or the eye in the sky. We use machine learning to analyze signals coming from orbiting satellites, in space to detect catastrophic events around the globe in real-time. This technology allows us to enter into our CAT response protocols faster than probably any other insurance company and to deliver best-in-class customer experience, but it also allows us to reduce the prevalence of bad risk in our book, by blocking campaigns and sometimes customers, and customer acquisition in impacted regions much, much quicker. And another example that comes to mind is something that we call, The Sixth Sense. For each customer or prospective customer, we're able to collect data that allows us to produce something like a digital footprint or fingerprint and stuff like, device ID, and IP address, and face detection, and all different other things that I won't elaborate on. So when the customer whose claim has been denied or is suspected as fraudulent will create a new account and submit a new video task or otherwise make claims that are dishonest, we are pretty good at instantaneously detecting those and shutting them down, something that incumbents using e-mail or call centers would really not be able to do at all. You just can't connect the dots, in the more traditional ways of working. And the upside of that is that, we can catch fraud networks that previously to the best of our knowledge, simply went undetected and those claims would have been paid. We also use satellite imagery and computer vision to extract information about properties we insure, whether it's roof types or whether there's a swimming pool or other important signals. And we do that during the onboarding of our customers. And this allows us to deliver what I still believe to be the fastest and most delightful and most straightforward onboarding experience, while increasing the precision of our pricing and underwriting. And we see this is another part of our business as well. So our customer support and claims management engines are very substantially driven by machine learning. We're able to use technology to automate a significant portion of our customer interactions and more recently with certain sub groupings of interactions. For example, in pet insurance, which we launched just a few months ago the pet preventative claims and that we developed technology that effectively removes the need for humans entirely. And not only does that enable us to payout a meaningful percentage of our claims instantly at a lower cost, it also delivers a great customer experience. Excuse me. And it does that while, allowing us really across the board to achieve very high levels of operational efficiency and scalability. And we have depending on the incumbent we've achieved a ratio of about five times perhaps more than that, the number of customers served by every Lemonade employee, relative to what the industry knows. So, five times, sometimes 10 times greater levels of efficiency in terms of at least head count. And that is pretty impactful. So for example just last month, we gave back to our customer support team something like, 3,200 hours because our AI technology solved and executed on a growing share of incoming customer requests than they had previously, all different things where our customer wanted to change their address, or recent documents, or asking about their payment history, or adding a spouse to their policy all different things like that. So we really do see this impacting our business across the board. And with some of the top-notch talent in the world, in the field of machine learning and AI at Lemonade the development of these tools is now part of our DNA, really has been from the get-go. And tools like this clearly don't just impact one area of our business. Rather, the impact is very broad and touches every aspect of Lemonade from customer onboarding to claims management, and really to the fundamentals of our business model. And data, and machine learning, and automation, because it's built into the fabric of our company, that's why to Arias' question, we don't see ourselves renting it out or licensing it to others. Our company is vertically integrated. And the AI is deeply integrated. And this isn't some external bolt-on that we could license out or that we would want to license out. It's the very essence of our company. And we expect it to remain that way. And finally, I want to address Dean's question about, blockchain and whether it poses a threat to Lemonade. Let me say that, both, Shai and I and others on our team take a keen interest in blockchain. We actually are both moderately invested in crypto with events towards gaps and particularly DeFi decentralized finance. These are powerful technologies and paradigms. And I do think there are some applications for these technologies in certain areas of insurance. For example, Nexus Mutual is doing some very interesting work on ensuring smart contracts. And so I do think decentralized finance and blockchains like Ethereum present opportunities for companies like Lemonade to build new products that ensure new realities and new classes of assets. But I don't for the moment see how they can provide an alternative or become a threat to the kind of products Lemonade offers today. Homeowners, life, pet, car insurance, these cannot be profoundly betted by crypto. And here's why. Decentralized finance, DeFi as it's known its power comes from the trustless nature of the blockchain. And when determining whether a major global event has occurred, Oracle as they are known provides a decent way to pump real-world events into smart contracts in a trustless way. So If I want to place a bet on a blockchain prediction market on the outcome of an election for example, there are platforms and protocols that will allow a smart contract to know if the event occurred and it does that in a trustless way and then it can settle the bet accordingly. The same would apply to ensuring against certain highly visible outcomes say, where there's some big concept took place on a given day or whether a landmark building was standing on a given day. But if the question at hand is whether my laptop was stolen at my local coffee shop, there really is no API for that information and asking the community to stay coin and vote with be terribly inefficient and I think probably produce very unfair outcomes anyway. Personal lines insurance is fundamentally about trust. And that's why at Lemonade, we've worked so hard to build a trusting and trustworthy company. It's really built into the fabric of our company, into the business model, into the game theory and behavioral economics upon which Lemonade is predicated. So trustless personal -- excuse me trustless personal lines insurance, at least using the current state-of-the-art of blockchain will not be an improvement on what we've already built. So while the world of DeFi opens up new opportunities, new products, new markets, I don't see yet how it can be leveraged to do a better job at what Lemonade does today. I will say though that if future developments change that assessment you can be sure that we will be at the cutting edge of developing and deploying them. And with that, let me turn the call back over to the operator, so we can now take some questions from our friends on The Street. Thank you.