John Van Siclen
Analyst · RBC Capital Markets. Please go ahead
Thanks, Michael. And I'd like to start by thanking all of you for joining us today. Once again we are very pleased with the company's quarterly performance, which resulted in third quarter financial results that were better than both our top line and bottom line guidance. I'm especially pleased that ARR once again increased by 44% year-on-year to $534 million, with our new Dynatrace platform now making up 87% of total ARR, up from 61% from a year ago. Fuelled by the continued growth in ARR, our subscription plus services revenue what we see as the best measure of revenue growth on our P&L, increased by 36% year-over-year. As we look ahead, we remain optimistic about the business as our new Dynatrace platform continues to be adopted by a growing number of new enterprise cloud customers, and each quarter, we are proving our ability to expand rapidly within this growing customer base. Our optimism is reflected in the increased top line guidance that Kevin will detail in a few minutes. We're also proud that our solid growth is complemented by strong operating margins. We run an efficient business with gross margin at 84% and a non-GAAP operating margin of 26% for the third quarter. We continue to be cash flow positive on an operating basis while investing across the board in growth. As we've said before, we believe in running a balanced business, a powerful combination of growth and profitability at scale. We believe this balance, combined with our focus on investing aggressively in commercial expansion and continuous innovation provides Dynatrace with attractive durability over the long term. Now let me turn to four major advancements made in our fiscal Q3. New logo expansion; customer net expansion once they are on our new Dynatrace platform; continued progress moving Classic customers to Dynatrace; and finally, innovation highlights around platform expansion and differentiation. I'll take each of these in order, starting with business from new customers. This past quarter, we saw a sizeable uptick with new customers on the Dynatrace platform. 380 new customers joined the Dynatrace platform family in Q3, bringing our total Dynatrace platform customer account to 2208, nearly double from a year ago. Q3 was a strong conversion quarter for us with twice as many customers converting as we converted a year ago. And even with this strong conversion uptick, half of the customer growth added to our Dynatrace platform came from customers that are new logos to the franchise. Nearly every new customer win whether net new or converted is participated by the realization that their cloud program is disrupting their ability to keep up with the accelerating complexity of the ecosystem supporting their digital transformation. More and more run the business applications are being deployed into their enterprise cloud, while visibility and situational awareness are declining. To regain control and bridge the complexity gap, more and more enterprises are turning to Dynatrace. For example, a large U.S. bank recently became a Dynatrace customer after concluding that its current APM solution could not keep up with the dynamic nature and scale of its micros services-based environment. Prior to Dynatrace, the bank experience successive service disruptions in applications running in their AWS Cloud which negatively impacted the bank's business and put their brand loyalty at risk. Like most of our customers, the bank ran a trial Dynatrace to prove ease of use, scalability, and the value of our advanced automation. The bank was immediately impressed by the Davis AI engine at the core of our platform and its ability to automatically map the entire full stack topology of the hybrid cloud, and precisely identify problems and the root cause in real time right out of the box. At the conclusion of their trial, the bank became a seven figure ARR customer with plenty of room for expansion over time. I should also mention that shortly after starting with Dynatrace the bank began to use our digital business analytics module announced in October to understand and reverse its drop-in conversion rates for bringing new customers to the bank. This is a great example of the power of our all in one approach with intent to observe ability from user experience through infrastructure, putting business context to drive better digital business outcomes. As we said, once customers are on the new Dynatrace platform, we see rapid expansion, which is evidenced by the solid growth in our ARR that I referenced earlier. Once again in Q3, our net expansion rate exceeded 120%. This is the seventh straight quarter we've exceeded this mark. As we are still in the early innings of Dynatrace adoption, most of our expansion is driven by customers deploying our platform into new applications stacks. The automatic continuous discovery and instrumentation, the self-adjusting baselines, the automatic problem determination prioritized by business impact, all contribute to rapid rollout and the high value for low effort economics our customers enjoy. In addition, we are also beginning to see increased adoption of additional platform modules as customers recognize the power of our broader platform capabilities. Let me share an example of one of the many meaningful customer expansions during the quarter. A U.S. based SaaS company to standardize on the Dynatrace platform and within two quarters completely replace their previous gen 2 supplier who missed the market transition to the enterprise cloud. Earlier this year, the SaaS company was struggling to effectively manage their four different data centres with their previous solution, and foresaw even greater issues with their evolution to [Indiscernible] orchestrated cloud. After a successful trial last summer, the company decided to start by switching to Dynatrace in one of their data centers. Based on the rapid deployment of Dynatrace and success they achieved as a result of gaining real time answers and insights into performance degradations and anomalies, thanks to Davis. They decided to expand their Dynatrace footprint and make Dynatrace the company standard for both the remaining data center migrations as well as their upcoming move to a dynamic web scale cloud. This expansion came after only two quarters, from the initial land deal with Dynatrace. Turning it to our continued progress on the conversion front, which is the movement of our Classic APM customer base to the broader Dynatrace software intelligence platform, Classic ARR has now declined to $69 million, that's down $25 million from a quarter ago, and now represents only 13% of total company ARR. As we've discussed, we started this conversion program and then earned [Ph] seven quarters ago with approximately 200 million in ARR to convert. We've been successful in moving our Classic customer base to the new Dynatrace platform because virtually every company has new enterprise cloud initiatives. We're not simply upgrading from one product set to a new version. Our conversions typically involve a shift from legacy stacks, the new stack cloud environments. While it takes more time to find new stack buyers, yields are much more valuable customer in the strategic go-forward growth segment of their business, their enterprise cloud. As an example of a converting customer this past quarter, a large U.S. based airline converted from our Classic tooling to the Dynatrace software intelligence platform. As the airline transformed from legacy systems to a modern multi cloud architecture, they realized that the disparate monitoring tools, both commercial and open source that they had acquired over the years were costing them precious time, money and resource. This led to excessive manual configuration, the need to stitch together data from multiple sources, and operating more rooms to get the answers they needed. As part of an initiative to gain observability into their entire environment, including all airport terminal kiosks. The airline began a trial of the all-in-one Dynatrace software intelligence platform. Again, it was advanced automation and full stack observability at scale across a wide array of IaaS, tasks and container technologies they were the key factors in the successful displacement of competing tools. Our all-in-one platform provides the airline both the modern observability it requires and the real time precise answers required to address degradations in performance, in business impacting anomalies. After a successful trial, the airline converted from our Classic tooling to the new Dynatrace platform in the larger footprint led to an expanded seven figure ARR contract. We are excited to be well along the way with the conversion process and look forward to wrapping this up over the next few quarters. As I've said before, this is particularly exciting for us for two reasons; First, we've proven our ability to expand rapidly with customers once they are on the broader Dynatrace platform. And second, we believe the completion of this process will further improve the productivity of our sales organization as a conversion distraction ends and they focus 100% of their efforts on landing new customers and expanding them across more applications and modules. Let me finish by highlighting several of the innovations we announced recently, which we believe will further improve our ability to win new customers, expand with existing customers, and incent [ph] remaining Classic customers to convert to Dynatrace. In early December, we announced the extension of our software intelligence platform to support AWS hybrid clouds provide seamless support across all AWS public regions and outposts. Due to regulatory or data security requirements, many enterprise customers want flexibility with regard to where their observability data resides. With a flexible deployment model, Dynatrace offers a single platform built on cloud native architecture that seamlessly supports any configuration of AWS hybrid cloud environment, including both VMware Cloud on AWS Outposts and the AWS native variant of Outposts. Dynatrace AWS customers benefit from regular, automatic updates and automated administration of the Dynatrace platform while still meeting the strict governance, security and latency requirements of on-premises workloads. This reduces the complexity, costs and risk associated with alternative cloud observability approaches that do not support the flexible deployment modes of AWS and the other major IAS [ph] and pass providers. During Q3, we also announced Keptn, an open source pluggable control plane to advance the industry's movement toward autonomous clouds. Keptn is an outcome of the knowledge and expertise gained as Dynatrace adopted a NoOps environment itself internally. In talking with CIOs and CTOs of many of our enterprise customers, it's become clear that advanced levels of automation intelligence are required to bridge the growing gap between limited IT resources and the exponential increase in scale and complexity of dynamic enterprise clouds, and the growing cloud native workloads now being deployed. We purpose built our new Dynatrace platform with a powerful explainable AI engine at the core to identify anomalies and degradations with precise root cause to trigger automatic self-healing actions. But what’s been missing has been a simple repeatable way to harness this potential and leverage it for a true NoOps approach. Keptn provides the automation and orchestration of the processes and tools needed for continuous delivery and automated operations for cloud native environments. And we have a growing number of customers now engaged in leveraging Keptn and Dynatrace expertise to advance NoOps within their enterprise cloud environments. Finally, just two to three weeks ago, we announced that we’d been collaborating with Google, Microsoft and other industry leaders on the open telemetry project to shape the future of open standard base observability. Having been a leader in distributed transaction tracing at scale for years, Dynatrace is contributing knowhow and manpower in this area to the project, as OpenTelemetry gains momentum open tell data will serve as an additional data source that further extends the breadth of our cloud observed ability, which in turn feeds Davis our AI-engine providing our customers with richer insights and automatic actions, across a wider landscape as dynamic multi clouds continue to evolve in scale. We see this open-source standard as a benefit to the market and another potential accelerant to the adoption and expansion of Dynatrace. In summary, our innovation engine continues to differentiate our solutions and expand our market opportunity. Our Dynatrace customer base continues to increase as dynamic multi clouds and workloads expand and scale. New logos are being added, and existing customers are converting and expanding on the new platform, both at a healthy pace. And our execution across our key performance indicators remain strong. With that, let me turn the call over to Kevin Burns for a deeper review of our financials. Kevin?