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Q2-2025 Earnings Call
AI Summary
Earnings Call on Aug 13, 2025
Revenue Growth: Revenue rose 17% year-over-year to $71 million, coming in ahead of company expectations.
Profitability: Similarweb returned to positive operating profit and posted its seventh consecutive quarter of positive free cash flow.
AI Product Momentum: Gen AI data and solution revenues were about 8% of total revenue and are growing, with strong customer demand.
Guidance: Full-year 2025 revenue guidance was reiterated at $285–288 million, but full-year profit guidance was raised.
Customer Expansion: The customer base grew 18% year-over-year, with large customer adds at a three-year high.
Durable Contracts: 57% of ARR is now under multiyear contracts, up from 44% last year, reflecting more stable and recurring revenue.
AI Deal Pipeline: Management is optimistic that recent Gen AI and LLM data evaluations will convert into sizable, recurring deals in the second half.
Revenue increased 17% year-over-year to $71 million, driven by strong customer growth and expansion among big tech clients using Similarweb's data for Gen AI and LLM applications. The company also benefited from onetime fees related to customer evaluations, which are expected to convert into annual recurring revenue contracts in the second half of 2025.
AI-related products are becoming a significant part of Similarweb’s business. Gen AI data and solutions contributed 8% of Q2 revenue, and management reports strong demand and a robust pipeline. The company has signed large, multiyear data licensing deals – including with big tech clients to train LLMs – and expects similar deals to recur and expand as more customers validate the products' value.
The customer base grew 18% year-over-year to nearly 6,000 ARR customers. Large customer additions (over $100,000) rose by 13%, with the highest sequential growth in three years. Sales productivity improved, with a 50% year-over-year increase in the number of salespeople booking deals, attributed to investments in go-to-market resources.
A growing portion of revenue is locked into longer-term agreements: 57% of ARR is now under multiyear contracts versus 44% last year. This shift is seen as enhancing revenue durability and providing better visibility into future performance.
The company returned to positive operating profit, reporting a 3% operating margin for the quarter, and delivered its seventh consecutive quarter of positive free cash flow (5% margin). Management attributes this to disciplined execution and expects to sustain positive free cash flow going forward.
Full-year 2025 revenue guidance remains at $285–288 million (15% year-over-year growth at the midpoint), while profit guidance was raised. Q3 revenue is expected between $71.5 million and $72 million. Management cites a strong pipeline and improved sales execution as drivers of expected acceleration in the back half of the year.
Similarweb continues to expand its product offerings, including the launch of Ad Intelligence (leveraging the Admetricks acquisition), AI Agents, and enhanced App and Shopper Intelligence models. AI Agents are being integrated across solutions to boost customer ROI and engagement.
Greetings. Welcome to Similarweb's Second Quarter Fiscal 2025 Earnings Call. [Operator Instructions] Please note, this conference is being recorded.
I will now turn the conference over to Rami Myerson, Vice President, Investor Relations. Thank you. You may now begin.
Thank you, operator. Welcome, everyone, to our second quarter 2025 earnings conference call. Joining me today are our CEO and Co-Founder, Or Offer; and our CFO, Jason Schwartz. Yesterday, after market closed, we released our results for the second quarter and published a discussion of our results in a letter to shareholders as well as an investor presentation with a strategic overview of the business on our Investor Relations website at ir.similarweb.com.
Certain statements made on the call today constitute forward-looking statements, which reflect management's best judgment based on the currently available information. These statements involve risks and uncertainties that may cause actual results to differ from our expectations. Please refer to our earnings release and our most recent annual report filed on Form 20-F for more information on the risk factors that could cause actual results to differ from our forward-looking statements.
Additionally, certain non-GAAP financial measures will be discussed on the call today. Reconciliations to the most directly comparable GAAP financial measures are available in the earnings release and the earnings presentation.
We will begin with Or and Jason's highlights of the quarter, and then we will open up the call to questions from sell-side analysts.
With that, I'll turn the call over to Or. Or, please go ahead.
Thank you, Rami, and welcome, everyone, joining the call today. I'm extremely proud of the second quarter financial results that we reported yesterday. Revenue increased by 17% year-over-year to $71 million, ahead of our expectation. Our customer base grew 18% year-over-year to almost 6,000 ARR customers at quarter end. We reported a seventh quarter of positive free cash flow and returned to positive operating profit in the quarter. We are also reiterating guidance for 2025 revenues and raising our profit guidance for the year.
Customer interest in our Gen AI data and solution is amazing, and the revenues from our Gen AI data and new solution were approximately 8% of second quarter revenues and are growing. We are focused on 3 high-impact opportunities where Similarweb is uniquely positioned to lead. The first one is our Similarweb Gen AI Intelligence. In April, we launched AI traffic to show how much website traffic comes from Gen AI sources as well as the prompts and landing page driving traffic. In June, we expanded our product line with the AI brand visibility, giving companies daily insight into how often they are seated in AI chatbot platforms across key topics.
The second one is our AI Agents. We are rolling out AI Agents to help our customers maximize the value they can extract from our data in the shortest time. We're receiving great feedback from our customers and usage is growing by 60% month-over-month since launch.
And the third one is our generative AI and LLM data. We are supplying our unique and fresh digital data to companies that are building their own LLM and generative AI applications. Last year, in Q2, we signed a 7-figure ARR contract with one of our big tech customers to use our data to train and improve its LLM. This customer was already using 4 of our solutions across multiple business units and countries. After signing this contract, they become Similarweb first 8-figure ARR customer. In June this year, this customer renewed and expanded the contract for Gen AI application and LLM data with a multimillion dollar ARR and a multiyear upsell. Contracts like this one demonstrate the durability of those AI transactions as recurring revenue stream and provide me with the confidence in our ability to convert additional customers and expand our AI revenue streams.
We continue to invest in our technology and expand and enhance our data to deliver the most comprehensive view of the digital world. In Q2, we expanded our product offering to empower customers with deeper insights across the digital landscape.
We launched Similarweb Ad Intelligence, giving businesses a clearer and more complete view of the digital ad spend and paid marketing universe, leveraging the capabilities of Admetricks that we acquired in 2024. We also introduced additional models to our mobile app intelligence and Shopper Intelligence, providing our customers with more tools and data to succeed and win their markets online.
The investment in go-to-market that we started in the fourth quarter of 2024 is ramping as planned and we're starting to see additional results. One of the KPIs we track for sales force productivity is the number of salespeople booking deals, and I'm super happy that the number of salespeople booking deals increased by 50% year-over-year in the second quarter.
I'm also super proud, we continue to operate efficiently and return to profitability in the second quarter as well as reporting our seventh quarter of positive free cash flow. And as I like to say, we are just getting started.
Thank you to everyone on the call for your continued support. And with that, I will turn the call over to Jason.
Thanks, Or, and everyone joining us on the call today to discuss our second quarter results. I'll provide highlights of our financial performance, and then we'll open up the call to questions.
We generated $71 million of revenue in Q2, a 17% increase relative to Q2 2024. Our revenue growth was driven by the 18% growth in overall customers and big tech customers who licensed our digital data for developing their Gen AI applications and LLMs. Our second quarter results benefited from onetime fees for customers who completed their evaluations at the end of the quarter earlier than expected. We are optimistic that these evaluation contracts will convert into ARR contracts during the second half of 2025.
NRR for our overall customer base increased by 100 basis points year-over-year to 100%. Notably, our renewal rate in the second quarter was the highest in 3 years. NRR for the over $100,000 customers decreased by 100 basis points year-over-year to 108%. The NRR for the $100,000 customers reflects the significant upsells of a number of large contracts booked during 2024. These customer contracts are now included in the NRR baseline in 2025.
We are proud that 57% of our ARR is contracted under multiyear contracts, up from 44% last year. We believe this demonstrates the durability of our revenues and the importance of our data to our customers.
Our remaining performance obligations, or RPO, totaled $274 million at the end of Q2, up 26% year-over-year. We expect to recognize approximately 68% of total RPO as revenue over the next 12 months.
Our operational performance in the quarter was better than expected. We reported a non-GAAP operating profit of 3% in Q2 as a result of our continued disciplined execution. As a reminder, over the last 3 years, we have improved operating margins by 4,500 basis points from minus 42% in the second quarter of 2022. This performance and our unit economics provide us with confidence in our ability to achieve our profit and cash flow targets.
We generated $4 million of normalized free cash flow in the quarter, a 5% free cash flow margin and the seventh consecutive quarter of positive free cash flow. We plan to continue to generate positive free cash flow on a quarterly basis going forward.
For the full year 2025, we are maintaining our revenue guidance and expect total revenue in the range of $285 million to $288 million, representing 15% year-over-year growth at the midpoint of the range and expect our non-GAAP operating profit to be between $5 million and $7 million, an increase from our previous expectation. For Q3 2025, we expect total revenue in the range of $71.5 million to $72 million. Non-GAAP operating profit for the third quarter of 2025 is expected to be in the range of $1.5 million to $2 million.
We remain focused on delivering profitable growth over time as well as achieving our long-term profit and free cash flow targets.
And with that, Or and I are ready to answer your questions.
[Operator Instructions] The first question today comes from the line of Raimo Lenschow with Barclays.
Congrats from me. That was an amazing outcome. Can we talk about the large customer and how that potentially kind of played out for you and will play out in the future? I'm just trying to understand, is that -- was that a proof of concept that the customer had to kind of pay some money for, so you get the fees in. And then now when he goes into full contract, it comes through. So can you talk a little bit about the mechanics there, but also then like a little bit deeper into like what is he doing there? And then I had one follow-up for Jason.
Yes. Thank you for the question. Usually, when we engage with companies who want to train their LLM models, the process is that you deliver them onetime bulk of data that they can test and validate that the data is improving their model and make it more accurate. They pay onetime fee for this data for the testing. And after the testing and validating the data improve, we engage with them with long-term commitments, usually multiyears of ARR deals.
Okay. Perfect. So -- and that would be something that not just one of these customers can do. That's actually something that a lot of them will benefit, correct?
A lot of them can benefit and also there's multiple datasets that they can buy and use for multiple use case around improving the LLMs. So the opportunity is in both fronts, more customers buying once it's proved that it can improve their LLMs. And the second one that they can get more data to improve other areas of those motions.
Okay. Perfect. Yes, makes sense. And then, Jason, on the NRR, so it dipped down a little bit and you explained that 2024 cohort. NRR is obviously backwards looking. So it doesn't really helped us in that respect. But how do I have to think about that number kind of inflecting going forward again? Do I just have to work through that cohort and then it starts looking better? Is that kind of the right mechanics there?
And then maybe just one last word as well, Jason, on the customer adds this quarter or the customer growth -- new customer growth was really strong. Kind of what drove that?
Raimo, thanks so much. Yes, on the NRR, like we've been talking about, I think you're right, it has -- there was a great growth last year, and we're working through the cohort. Those large expansion deals from 2024 is having a lapping effect as we go into 2025.
But I think your second part is really the indication. When you look at the customer adds, the overall customer adds is up 18%. But if you look in the large customers, the customers that are over $100,000, it grew by 13%. And if you look at the absolute number, the absolute number went up on a sequential basis was up 22 additional customers. That's the highest sequential growth that we had in the last 3 years. So I think that's an indication that our land-and-expand strategy, bring them in at a modest growth -- modest start point ACV and then see them land, retain and expand and grow. And now you're seeing them crossing over that $100,000 number as well.
Our next questions come from the line of Arun Bhatia (sic) [ Arjun Bhatia ] with William Blair & Company.
It's Willow Miller on for Arjun Bhatia. Congrats on the quarter. So in your prepared remarks, you mentioned you're optimistic that the Gen AI and LLM-related data evaluations completed in the quarter have the potential to convert in the second half of the year. What do you think it will take for these AI data prospects to convert into paid customers?
And just the sales cycle, you engage, you get the data, they need to test, they need to validate. We feel very strong around that. We position as the #1 digital data company in the world right now and the #1 of web data, those LLMs do their learning and training on web data. So we feel very confident that we can build a very good pipeline and convert it down the road.
And Willow, I would just add that, as we mentioned in the letter, these deals, once they finish that evaluation are typically 7-digit contracts that are. And those things are not signed overnight. It has a process as well. But I think that the -- going back to -- I think Raimo asked the question that first customer from last year who had done their evaluation and then in Q2 last year, signed an ARR contract, and that was a 1-year contract. Now when they lapped into the second year, not only did they renew, but they renew upsold with a multimillion dollar upsell and also extended that for a multiyear commitment. So I think that's the path that you should be thinking about of these deals.
The next question is from the line of Patrick Walravens with Citizens.
Fantastic. This is Nick on for Pat. A few months ago, you introduced your 4 new Agentic AI products. And I know it's still early, but could you share what customer conversations around these products look like? Are we seeing general interest in them? And among the 4, which is seeing the most traction?
So definitely, the Gen AI has a lot of traction. I think it's the fastest-growing product we have currently in our product portfolio. And we're seeing a lot of demand for that and a very, very strong pipeline going forward. I think almost every -- one of our customers when we present them are trying and evaluating them -- that solution.
Our next questions are from the line of Adam Hotchkiss with Goldman Sachs.
This is Greyson Sklba on for Adam. I wanted to start on the guide. Just looking at the 3Q guide and then the 4Q implied numbers, a bit of acceleration implied in the 4Q number. So I'm curious on what is driving your confidence there and how the ramping productivity from some of those new resources factors into that guide. And then I just have a quick follow-up.
Greyson, it's Jason. Like we talked about in the letter -- in the shareholder letter, we have a good pipeline that we've been talking about for a couple of months now. I think now you're starting to see these conversion of these large transactions coming through. And we've got some visibility. But as Or said, we've got -- the sales team has got to close the business. But that's really what's going on to the back end of the year. This is what we've told you since early 2025. We said that we believe that the acceleration you would see happening in the back end of the year. And hopefully, that you're starting to see that stuff come through.
Great. And then I just wanted to -- sorry, go ahead.
No. Regarding the go-to-market productivity, we also see a nice improvement. We also shared that in the investor letter and we talked about it that we had a record high of salespeople closing deals. So you see that they start ramping up. And we're looking forward for them to closing more deals in Q3 and Q4.
Great. And then I just wanted to touch quickly on profitability, nice beat in the quarter. Obviously, a nice flow-through to the full year number there. I'm just curious on if there's anything to call out there or if that was just a function of some higher top line revenue than expected.
Yes. Obviously, the beat on the top line obviously flows through to the bottom line. That's for sure. But again, we -- our philosophy is to operate as a profitable growth company. And so that discipline that we've had for the last 3 years that showed -- that translated into a 4,500 basis point improvement over the last 3 years is something that we practice every single day. And so, you're seeing some of that disciplined execution come through as well.
The next question is from the line of Jason Helfstein with Oppenheimer.
Obviously, the numbers, particularly around the RPO and the billings definitely suggest a pickup in the business, and there are a number of things happening. So can you -- like is there a way to allocate the success? So you have the improved sales productivity from the changes you made last year. You've got new -- you've got the AI products coming online. You've got the new mobile products. I don't know if there's like upgrades and changes you made around some of the commerce tools, et cetera. So is there a way to just like unpack how much of, let's say, that 9-point acceleration in RPO is from like sales versus product? And I don't know how deep you want to go on the product side.
Jason, sure. Without going into product by product, I think that there are a couple of things that are driving this. When you look at the RPO, there are new and exciting products, and we're seeing that already in the Gen AI products. I think the last quarter, we called out the app product, and we have already at that point, well over 400 customers who have -- who are using that new product and enhanced App Intelligence that we have. I've been on the road and with our teams, and I sit here with the sales teams, and they say that the 2 things that in literally every conversation that people are asking about are the Gen AI suite and also the App Intelligence. And so that's something that is definitely driving pipeline and conversion.
On the flip side, when you took -- when you look at RPO, I think that it's important to also look at, not only is the overall revenue is growing, but when you look at the multiyear that is now up to 57% of our ARR, looking back just a year ago, it was only 44%. And I think that, that one gives -- also drives up the RPO overall, but secondly, gives us a lot of visibility and confidence into the durability of the revenues.
The next question is from the line of Luke Horton with Northland Securities.
Congrats on the quarter. Just wanted to talk about pricing on the data licensing side. So how are you thinking about pricing for these data licensing contracts? And you noted that this accounted for 8% of revenue mix in the quarter. So just curious how you think about this mix shift going forward.
So those are very big data deals also, not only by dollar, but also amount of data. So they start with usually 7 figures and deals. And there is a lot of room for expansion. And as I talked a little bit before, because it's -- there's many different datasets that can be used on training those LLMs from web data, app data, consumer behavior data, et cetera. So each dataset is priced differently.
Okay. Got it. And then as far as mix shift, how you see that going forward, which accounted for 8% in the quarter? Is it a little too early to tell?
So there is a strong pipeline for those offerings, but it's not only the data for LLM, it's also the Gen AI model that helps track brand visibility on chatbots and the traffic websites get from Gen AI. And of course, the AI Agents. So we have 3 different offering around AI that we're now bringing into the market. And it looks strong, and we're seeing great demand all across those 3 offerings.
Okay. Got it. Yes. And just kind of piggybacking off of that with you guys have launched several kind of AI Agents and products and enhancements throughout this year. Just wondering how much of the focus now is on continued new product development versus kind of selling with the current product suite and just kind of the focus between the 2.
Yes. So it's a combined strategy. Basically, you take each one of the product offering we have today and you add agents to it that the stickiness will go up, ROI that customer exceeding from those solutions will go up. So those agents are integrated inside of our solutions.
[Operator Instructions] The next question is from the line of Tyler Radke with Citi.
Or, could you talk a little bit more about the sort of licensing dynamics that you called out this quarter? How often do you see this? Is this a big part of the pipeline?
And I guess, for Jason, any way you can sort of quantify the revenue impact in the quarter? I think people are just trying to understand big picture. Obviously, this is a good revenue stream today, but is there a risk that this is sort of a onetime deal and sort of just your confidence level in being able to sustain that as a durable subscription?
Yes. Thank you for the question. So I don't think -- and all those engagements are not supposed to be a onetime deal. The process is that you pay one time to go into the evaluation of the data when you need Similarweb to shift your infrastructure, a big amount of data. So they pay onetime for that. Once the data is land on their servers, they try to start to evaluate. And once they're going through this process and see the uplift and the improvement in their models, then they come and engage for the long term. And basically, you see that we are engaging with those companies for a long time. As Jason said before, we already renewed one of those customers for multiyear engagement. So we are very confident that the pipeline we have going forward is, not only strong, but also have big opportunity upside on that.
And Jason, any quantification of how big that was?
How big was?
The sort of the transactional component of the onetime licensing.
Yes, it was a little over $1 million. So remember, one of the -- it was over $1 million, I should say. The -- remember the deals that we had last year, which had already gone through the evaluation and turned into ARR and we've talked about those in Q2 and Q3 and Q4 last year. Those are recurring revenues and are going through. One of the things that we called out earlier and talked about in the shareholder letter is that, the deal that we had signed in Q2 last year had also, not only renewed because it came up for renewal, it was an ARR deal last year. It now got up -- it came up for renewal in Q2. Not only did they renew, they upsold at a multimillion dollar ARR deal on top of what they already had in the baseline.
And secondly, extended that not only to be an ARR and just a 1-year term, but into a multiyear deal. And I think that, that is the -- gives us a little bit of confidence that these transactions are not just a one-shot deal. The opportunity that we have there is not only to train the LLMs, but on the ongoing, not only the pre but also the post and/or may be able to talk about that a little bit as well.
The next question is a follow-up from the line of Patrick Walravens with Citizens.
So, Jason and Or, as you look back over the last 3 quarters, I mean, you have a great -- it looks like you guys have a great move up in your stock now and 2 quarters ago you had a huge move down. Do you feel like there are any lessons that you've learned or things that you would have done differently in terms of smoothing out the experience for yourselves and for your investors?
Yes. I think one of our biggest lessons is to do a much better job on communication. I think our strategy and our commitment to show and deliver what we say is on track for the past 4.5 years that we're a public company. And I think that's just being much better on communication, we can contribute a lot for that going forward.
Jason, any thoughts from your end?
Yes. I think I agree with Or on that front. And as we look going forward, part of the additional color that we've given this quarter, hopefully, is appreciated and give some insight into how the continued growth is expected to be.
This now concludes our question-and-answer session. I'd like to turn the floor back over to Or Offer for closing comments.
And so thank you, everyone, for joining our call, especially our shareholders for their support. We look forward to speaking to you again over the coming days. Have a great week, everyone. Thank you.
Thank you. Ladies and gentlemen, thank you for your participation. This does conclude today's teleconference. Please disconnect your lines, and have a wonderful day.