Luca Ferrari
Analyst · BNP Paribas
Thanks. So regarding the 3%, it came in a little bit higher than we expected. The close, but a little bit higher than we expected. The largest contributors as we included in our disclosures where WeTransfer and Tractive and then Remini and Splice were the negative contributors. Obviously, as we added -- recently added AOL, Eventbrite and Vimeo, which in aggregate, grew in the low-single-digit, that also affected the overall growth rate of the company. So that's the short explanation for the 3%. Obviously, the blended growth rate will depend each time on the composition of our portfolio at that point in time, the performance of individual businesses a year prior, sometimes some business may be doing well, but had an especially good quarter a year prior. It will depend on the sequencing of monetization improvements, which can also influence blended organic growth rate substantially. Anyway, that's at 3%. And then taking a step back, I think this is a good opportunity to reiterate -- we talk about this in our prospectus, but I'd like to reiterate on how we look at organic revenue growth. So our goal, and I mentioned it a few minutes ago, is to maximize shareholder value, the success of this company 10 years out, and that translates into trying to compound revenue and operating income, earnings per share on a per share basis, including revenue and operating income as quickly as we can. And we are pretty much neutral when it comes to the underlying characteristics. We're happy to do it at any particular organic growth rate. We're happy to do it at any particular margin structure within reason. And we believe that's the mathematically sound way of approaching creating shareholder value. So sometimes, as we approach our M&A activities with that objective in mind, we find that the best return opportunity is in a slow-growing business, such as AOL, an acquisition we're actually extremely happy with, like I said, growing low single digit. We think actually a much better business than people realize. And even sometimes shrinking businesses, if the IRR is what it needs to be, we're happy to pick those up. But equally, if we find that great returns are promised with fast-growing businesses, you mentioned not you specifically, but one of your peers mentioned Airtable a moment ago, and I mentioned Tractive and komoot as other examples of fast-growing businesses we have acquired somewhat recently. We're happy to get those done as well. So organic revenue growth will just be an output of our capital deployment activities, and it could be higher or lower, and it's not something we particularly focus on or -- and certainly not something we optimize for. Regarding AI, we haven't seen, say, any noticeable disruption in any of our businesses really because of AI. I think at least none of the significant ones. I think you could make an argument -- I'm not entirely convinced, but I think you could make an argument that Remini's decline could be connected to progress in AI. Frankly, we see that Remini's existing users and customers continue to behave exactly as before. We haven't noticed any change in behavior. It's just that acquiring new users and customers was particularly challenging for that business in recent quarters. And we believe it's mostly due to saturation in the market. Ultimately, this is a market that was born only a few years ago. Automatic generation of image and video content and a lot of progress has been made by us and others. There's -- it's more difficult now to come up with novel ideas and a lot of Remini's growth was driven by, let's say, viral spikes where with major innovations, and we were able to attract new users and drops here and there. An unusual pattern, by the way, I would say Remini is the only one business in our portfolio where customer acquisition was spiky. All of our other businesses of any significance are perhaps much more boring, but also much more predictable in that the acquisition comes from word of mouth and it's quite steady over time. And so I think mostly it's saturation, but I think it's a reasonable argument that one could make that because it's now more commoditized, the generation of of content, especially image, but also video content through AI, competition has intensified. And therefore, while this has not apparently impacted the behavior of our existing users and customers has made it more difficult or expensive to attract new users and customers. So that's the only area of our business where I think potentially AI has had a negative impact. Other than that, we haven't seen anything whatsoever. In terms of upside, I'm probably not seeing anything shocking here, but we are seeing massive opportunity in terms of operational efficiency. We mentioned our recent release, internal release of a tool called Alt-Spooner like alternative Spooner. It's a pretty wonderful technology, in my view, that enables people to be super human in their productivity. I'll give you an example. Quite recently, I was in a Slack channel with one of our general managers, she leads Evernote specifically. And this channel is meant to be a place where we provide feedback on how the product could be improved. And this person posted by asking Alt-Spooner because you talked to Alt-Spooner as if it were a colleague on any company channel. She asked her Alt-Spooner to investigate a bug she had noticed and check with our internal technologies, there was one called [ Moros ] that enables tracking customer support tickets for product insights. So she asked her Alt-Spooner to look for this bug if it had been reported by other customers. And so if we could conclude it's a prevalent bug or just something extremely rare that she encountered. And then assuming that the answer was this has been reported by others, she asked her Alt-Spooner to investigate the root cause in the code, program a fix and then reach out to Evernote's tech leader asking that he review and hopefully approve the pull request so that the bug can be fixed and pushed to production. And I witnessed this. This was the first time I saw Alt-Spooner in full force. And in a matter of probably, I don't know, 5 minutes or something like that, 5 or 10 minutes. All of these tasks have been completed. And the only reason why the bug was fixed the day after is because the technology leader was not checking Slack at that particular point in time, which maybe we can improve on that, too. But it is mind-blowing because this is a process in the past would have taken optimistically a week and probably a few tens of person hours and was completed in maybe, I don't know, like half an hour by Spooners, real humans. So that's an example where our operations have really picked up in efficiency, thanks to AI. There are many more, but this hopefully makes the case. And then in terms of, let's say, the more visible ways AI can be helpful. Of course, you can serve customers better through AI. Most of our product work -- yes, I would say most is probably accurate to say. Certainly, a big part of our product work across our portfolio over the past maybe 6 months or so has been focused on AI-related or even AI-centric functionality. I thinking at Brightcove, we introduced auto translations, audio track dubbing, live captions in 50-plus languages. It's all basically done with AI. This was a transformative feature for our enterprise customers. We introduced Content Multiplier, which enables content organizations, media companies to take their high-quality content and produce all sorts of alternative formats, shorter versions, highlights they can post. It's just a few clicks. It makes them a lot leaner, faster, more successful. We introduced recommendations so that once -- if you're a media company using Brightcove once a user of yours, your audience has completed watching one of your videos, then you can enable recommendations YouTube a little bit, and these are now very smart, and we saw improvements in viewership for our customers ranging between 20% and 40%, which obviously is a game changer for a media company. Again, just to stay on Brightcove, I'd rather go a little bit deeper on 1 or 2 businesses than provide you a quickly and shallow touch point on all. But we introduced in the back end, so basically the part of the product that the administrators and actual users on the customer side of things use to then reach their audience, their viewership. We introduced all sorts of agent functionality. You can now use an agent to perform previously menial and cumbersome tasks such as reordering videos and organizing things finding videos. We have created a much more advanced layer for developers so that you don't necessarily have to go through the pretty good API that we had in place, but you can use an MCP to basically skip that and let your AI agents operate with Brightcove effectively. The list is long. But generally speaking, what I just described for Brightcove would apply with the due adjustments to probably 80% of our businesses. So it's exciting. I will say it's still unclear. I don't think this is a thing. I think this is almost any company thing, exactly to what extent these AI-enabled features translate into incremental revenue. We're seeing -- certainly, we're seeing uplift here and there, but I wouldn't say we've seen massive uplift where all of a sudden a customer who is paying, say, $100 is willing to pay $200, -- maybe they're willing to pay $110, which is good, but not transformative. Now the good news is that none of our our strategy is in no way predicated on that being the case, but we'll keep an eye on it, and we'll let you know if things change.