Daniel Schreiber
Analyst · Morgan Stanley. Please go ahead
Thanks, Tim. As is our practice we will now turn to questions most up voted by our shareholders on the SAY platform. And the first one is from the Paper Bag Investor, also by Darrin Q [ph]. And it is why has there been no or little insider buying, even as the market cap of Lemonade has dropped? I'll say that state the obvious that stocks have clearly taking a spectacular tumble in recent months. Lemonade has dropped about 50% year-to-date. And this is fairly typical of what's really happened across the tech growth and the sector. I'd like to believe for that reason that it says more about macro-economic trends and cycles of investor sentiment than about Lemonade specifically. But turning to the specifics of the question, I understand and often see the interest that people have in insider buying and selling. I have to say honestly for myself, I take little to no interest in it. I have not once -- as best I can recall, I have not once asked Lemonade's officers or Board members or even my partner Shai with whom I discuss everything, not once have we discussed whether or why he is buying or selling what they are buying or selling shares, literally not once. People buy and sell shares for many reasons. And I've never found this to be a helpful gauge of anybody's commitment or faith in Lemonade. In any event, since the question is asked not about the actions of the company for whom I'm authorized to speak, but of individuals who work here for whom I cannot, let me just answer and for myself, I have an incredibly high level of conviction in the long-term prospects of Lemonade and its shares. And indeed, the majority of our family's wealth isn't a single stock LMND. So I expect that to be true for many years to come. And I expect you would hear similar sentiments from all insiders. And I do hope that, that addresses the concern that underlines the question. The second question is a compound question by Charwak. And it reads as follows. What are some of the indicators that you track to analyze the AI engine efficacy? How do you tackle inflationary environments where premiums are charging today's currency and claims must be paid in tommorow's? And how do you guard against financial implications of rare events? Okay. So that's obviously several questions and let me work through them from last to first. So we got against rare events through reinsurance. That's been a massive way in which we've really avoided the worst surprises along the years and continue to. Beyond that as we launch new geographies and new products, that diversification actually is very protective as well. And rare events that hit homeowners in California don't usually hurt pet owners in California and don't hurt homeowners across the U.S., let alone in Europe. So being diversified geographically and product wise is a great protection against those rare events as well. So I think dampens the impact. And the second question was really about inflation, and that too was touched on earlier, but let me take the opportunity to add some color for the -- of the broad kind of an examples of the broad actions that we're taking. So for example, on homeowners, we are fighting for rate increases, we're fighting for base rate increases really across the USA, and we're doing that for home condo and renters, indeed for pet as well. And we expect to have new rates filed for that 90% plus of our book of business across those products, home condo, renters and pet before the quarter is out. In addition, for homeowners, we've implemented an automatic update to assessment of the costs that will be associated with the repair or rebuilding of each home. So that any inflation in the costs of construction or materials should be captured in correspondingly higher limits that the system will automatically assess. And by extension, automatically higher rates. And this will apply both to new policies and to existing policies when they renew. We expect to have that entirely operational before the end of this quarter as well. Finally, for car, we think we're in pretty good shape. Car definitely as a sector within the insurance industry has been terribly hurt, perhaps worse hit by inflation. But since we are new to this business, we don't have all the filings that need updating. In fact, all of our filings are very much current and were submitted with full awareness of these inflationary pressures. So we don't anticipate having to take further rate in car in the near-term, but we will keep our finger on the pulse very clearly. Finally, turning to the AI question. Well, in accordance with best practices, we will use multiple metrics for measuring machine learned models and predictions. For example, for binary decisions, such as classifiers, we typically use a methodology known as AUC, which stands for area under the curve, and we use the Gini score for ordering challenges like rank ordering risks. Now we use AI throughout our organization throughout our business, from marketing efficiency optimization to underwriting to fraud detection to claims handling, et cetera. So, in many areas of our business, the AI acts autonomously, but in several areas like fraud detection or underwriting declarations or claim rejections, the AI makes recommendations or flag things which humans then review and make a decision on. And in those instances, the human decisions establish a ground truth and that serves both as a benchmark for the AI efficacy, but also the training sets to make it continuously improve. I hope that fully answered that question. Another question comes again from the Paper Bag Investor. And it asks about whether Lemonade would release loss ratios on a byproduct basis in order to enable a better assessment of the AI impact on our underwriting? I think that's a fair question. And it's one that we do discuss from time to time and I saw Paper Bag, that you also posted a question about an Investor Day in which we would share more information about AI. And I see these as related questions. So I do expect we will hold an Analyst Day before too long with a view to sharing a lot more information, both about our AI and about our byproduct loss ratios and perhaps cohort loss ratios. But there is a real trade off. And that's something that we have to always bear in mind because information that helps our investors can also help our competitors which in turn hurts our investors. Lemonade is closely watched by the rest of the industry and while our detailed filings are public by law, a detailed results are not and that makes it harder for competitors to know which aspects of our business to copy. Because absent those results, it's harder for them to close that learning loop. And we do share selective numbers and insights when we think they are [indiscernible] here, to you, to our investors. We did that in the last quarter, for example. And in general, I'll say that we anticipated this tension between wanting to be more transparent, but also wanting to protect areas of our business where we think there is some exposure. We addressed this in our founder's letter. And let me perhaps just wrap up here by reading the relevant paragraph reads as follows. We are transparent except when we are not. We will explain why we zig or zag and be forthright about our past mistakes and future plans, except when revealing that information might hurt the business and its disclosure is not required by law. By disposition, we continue there. We are transparent and default to sharing more rather than less, but we know that transparency is subject to diminishing returns and at some point negative returns. We try to be guided by that. Okay. And the final question comes from Antonio P. And it asks for an update on the Metromile acquisition and integration? Antonio, are very happy to share that almost all of the preconditions to closing the Metromile deal have been met, and Metromile shareholders approved the deal with a 95% majority. What we need now really is approval from insurance regulators, specifically in Delaware where Metromile is domiciled, and then the transaction will close. Our estimates all along has been that we'll be able to do that in this quarter, in Q2. And I'm still hopeful that that will happen. It will not be a shock if it slips into early Q3, but our best estimate remains as it was Q2. And the proprietary work has really gone very, very well. The teams have gotten to know each other and we are -- have every reason really to believe that integration will be hugely successful and very, very speedy. And with that, let me hand the call over to the operator, so we can take some questions from our friends on the Street. Thank you.