#104 RevOps Lab 2025 Recap: Growth Metrics, Community Insights & AI Strategy

[Music] Welcome to the Revope SLAB, a podcast exploring the art and science of revenue operations. To find more episodes and resources on scaling your revenue engine visit get weflow.com/webops. [Music] This episode is brought to you by Weflow, the Gung alternative at half the cost made for Salesforce. I mean, we get it. Gung is a super solid product, but it's really really expensive. That's why we build an affordable alternative for Salesforce users. Here's two simple reasons why you should go with Weflow over Gung. First, we don't lock you into a platform that oversells you. Instead, you pick and choose only the products that you really need with no strings attached. Second, Weflow was built to respect best practices in your Salesforce data schema, so you don't have all the issues that many customers have with Gung when it comes to reporting and flexibility. That's what 250 Revope SLAB companies like Blacklane, Coder, ID now, and many more love about Weflow. So, go to get weflow.com to start your free trial today. [Music] Hello and welcome to another episode of the Revope SLAB podcast. I'm here with Philip and we have no guests today. It's a special episode just for you and of here. Hey, Philip, how are you? Yeah, I'm really good. How are you? Yeah, I love it. You know, Cufors always just so chill. Nothing going on. Great weather. And yeah, it just feels really good. No, I mean, honestly, I think we had an amazing Q4. We had an amazing year overall, not just with the refs that podcast, but also with Weflow as a company. It's been so much fun. And what we thought we're going to do today is we'll share a bit of a review. What has happened the last 12 months for us? And yeah, and that's basically the topic for today. So some of you might have listened to the podcast, obviously we hope you enjoyed it. We've been on a journey of building ways to help Revope succeed. We think it's such an important role in every go-to-market organization. Obviously, we run the podcast. We build a product that is very much used by Revope's to automate sales for state-of-capture. Activity capture, conversation intelligence, pipeline intelligence, forecasting and analytics. Some of the core workflows for any sales and often also customer success teams. We create content on LinkedIn that we share that is hopefully very technical and value-at. And then we actually launched a community this year. We're going to do a quick sharing of some stats and give you insights in what we're planning for next year. So yeah, Philip, fill us in. What did we do on Revope's lab 2025 this year? Yeah, yeah, perfect. Of course, there's also Spotify wrapped for content creators. We went through this, had some fun stats. It's not like the full picture, but I think it gives you a good idea. But let's start with maybe the most important one. This year, we had 42 episodes, including this one. Pretty good. Pretty good. I think when we originally started, we said let's do like an episode a week. Obviously, there's like vacations and other stuff. So hard to get to like the 52, but 42, for just like basically a site project. It's pretty mind-blowing to me. Other than that, we're happy to say that we grew our audience by 189 percent year over year, which I'm sure is a stat that many of you trim about every night. When thinking about your revenue motion. So yeah, that's amazing. Thank you. Thank you for all the listeners. Thank you to all the new listeners also that joined Revope's lab this year. And in total, people spend 150 days listening to us, which is pretty insane. We listened to. Listen to one person. Hopefully, hopefully not. No, I don't think so. Because actually people listen to us across 73 different countries. US, UK, Germany, Brazil and Poland being the top five. That's cool. I also know that America, so Brazil. So I think that's a very nice, great to hear. Great to see. And yeah, the most listened to episode of this year was automating CRM data entry with AI, with Mallory. So give that a listen if you haven't too. And it was like the most like the most listened to episode. And I think for a really good reason, because it's a practical hands-on episode that, you know, it's like no fluff regarding AI, just like hands-on. How do you actually do it? People also list our videos. Actually, top 10 videos consumed on Spotify came from WebOps lab. I'm not sure about that. I take them with a grain of salt. But it's like, you know, it sounded cool. So I wanted to include it. And our most controversial and commented on episode was the one with how to become a VP with Andy Moat. From just a few weeks back, actually, just Andy sharing some paths on how to become a VP in revenue operations. And actually up until this episode, I didn't know that you can comment on Spotify episodes. But apparently you can. So, yeah, you know, when you listen to this episode, go into Spotify, add a comment, and tell us what you liked about WebOps lab this year the most. Oh, but you hated the most. We're going to read the comments. Hi, I'm going to read the comments. For sure. Yeah. And then just like some fun stats to close it off with. So who does our audience listen to the most? Music wise. Number one, non-surprising. Taylor Swift. Number two, bad bunny. Also not surprising. Also, I have to admit, get a little bit into bad bunny this year. The Morgan Wallen, I have no idea who that is. Drake and Justin Bieber. The last one, the last one for me, a bit surprising. Didn't expect Justin Bieber, but I'll take it. And the most listened to audiobook of our audience was the qualified sales leader, which I think is great. It's a great book. Definitely listened to it or just read it. So it was very happy. Very happy to see that. Yeah. Yeah. Actually, right here. Like also personally, my highlight of the year, having John McMayhem on the show, he's been on the board of Snowflake, MongoDB, actually written the qualified sales leader. Yes. And yeah, I really, really enjoyed that audience, that show, which I recorded in a car in southern France, sweating like hell and it was just very dark. So I think, John, if you listen to this, sorry about that again, that was a weird setup, but my kids were sleeping inside. And I was definitely out of air when we stopped recording, but a brilliant one on like, bot reporting and what the board expects from especially rough ups, so well worth listening. But that's sad, right? I mean, we had I think 38 guests, so to all the guests being here, a fantastic job. Thanks for joining. I very much appreciate all the learnings you shared with the audience. And that maybe is a good head over to a second project we worked on this year, which has been a rough upshad, our Slack community. We launched together with 50 rough ups leaders in September. Since September it's grown to 1,400 people being very active. There's essentially three main rules, no vendors allowed to ensure that there's no pitching. It's the safe space for asking questions and getting answers. Second, it's free forever. And third, there's like essentially city chapters where you can also meet in person. We already had first meet up. We're planning to do a lot more with that community next year, which has been really, really awesome. So thank you so much for joining. And if you're part of the community, right? Like, I know communities are always the same. Most people, you know, basically just look and don't engage. But if you see something where you have experience, please help. Please share your learnings because it goes a long way, right? And I think Sean Lane, who was also on the show talking about his book, always says like, "There's all these problems you're going through have been solved before." And that was really the key driver to start the community because we felt like there should be a safe space where you can just ask a question and get people who've solved the problem and then potentially also spend some time with you on a quick call to help you solve problems faster, which is obviously something I think we're all very interested in. So yeah, much planned for that community for 2026. Hey, Philip here. Are you enjoying this episode? Well, good news because Because you can find more free red ops and go to market resources on get meflow.com/redops. Access over 20 cheat sheets, reports and guides that will help you become a better revenue operator. Or join over 2000 subscribers who already get the latest resources right into the inboxes without a free newsletter. Just go to get meflow.com/redops. Yeah, I think the third pillar, obviously we flow itself and the product that we are building. I don't think, you know, sometimes we talk a little bit about it, but not like so explicitly all the time. But of course, all the learnings that we generate for ourselves here by doing this podcast by running the RevApps chat by talking to you on LinkedIn and also goes into our own product. So within Weflow itself, there are four different products, activity capture, conversation intelligence, pipeline intelligence and forecasting. We invested a lot into particularly, I think activity capture and conversation intelligence is fair to say, really building out AI capabilities there, building a lot more infrastructure to really run complicated AI queries against your entire sensitive data, like emails, meetings, transcripts, data that is within your CRM, building a secure architecture for this and also shipping this. So we had more than 50 releases this year on the product side shipped around 175 new features, but also improvements of which more than a third was very connected to AI, infused and you could say, so really trying to work towards full automations and making people who use Weflow a lot more efficient and effective with what they are doing, so giving them back more time and turning them into 10X sellers, which of course is something you often hear people claim and say in marketing statements. So working towards it, it's the mission and vision of Weflow and doing this in a way that is fully customizable and is built for big rev-up teams, but also the rev-up teams where you just like a lone warrior and you have to solve a lot of these problems yourself, also trying to cater to those people who are more constrained with the resources that they have internally. So yeah, I mean, it was great on podcast side, on the rev-up's chat side, but also really good for ourselves on Weflow and growing that business massively this year. But you were also very active on LinkedIn, I think. Yeah, I was very active on LinkedIn exactly, so you might have seen some of my posts, so I mean, just to share some stats, we post approximately three times a week. We've seen around 6.8 million impressions and 102,000 comments. Yeah, it's pretty crazy actually. That's insane. That's insane. That's insane. I mean, the most crazy thing is that I really don't like social media. At the same time, I think it's a great way of sharing thoughts and content. And yeah, I mean, it's been really fun. I met so many fantastic people. And I think to be honest, all this is only possible because we are running the podcast, we're training this community, we're doing LinkedIn, we're building the product. So we're really trying to constantly learn what are the key topics to build a better product, to build better content and fundamentally help everyone in Raffaub's to be more strategic, have more successful careers and also navigate this weird AI transformation that we are having. And this is maybe one of the things that we quickly want to talk about. So what's in plan for 2026? I think this year, if all it's seen is directive, we have to be AI native teams and AI first and everything. And at the same time, it's really about solving problems. When we build features, we think about how do we solve the problem of automatically updating fields after meeting? Or how do we automate the follow-up email? Or how do we automate activity capture? Or how do we automatically serve surface dealer risk in pipeline reviews? That's the fundamental problem we are solving. And then sometimes AI helps you to do that better. And I think the reality is in more and more use cases, you can apply it and it's fantastic. But you really need to start with a problem and it's not just AI. And so I think if you don't have good data structure, if you don't have good data quality, your AI strategy doesn't won't help you. And I think that's become very clear, I think this year. And so for next year, we have a lot planned. We obviously continue the podcast. We're continuing to do a bunch of things with the community. We'll continue to do our work on LinkedIn. I think we probably want to try out some web en masse if anyone is interested in giving masterclasses about certain topics. Please ping us, right? This should be really detailed, tactical, in-depth masterclass about topics that refus people care about. And then we've been growing, we flow as a team, essentially build the best revenue AI platform globally, become really like the big blocks, the strategic product items, but then also the nitty gritty improvements with a lot of attention to detail as you would expect from people that are excited about revenue operations and product. Yeah, Philip, anything to add from your site? No, I mean, I think for sure, just want to double down on this. If you have feedback, if you have comments, if there's something you want to share with us, if you're thinking about doing a webinar together with us, there's lots of opportunities to get in touch with us. Podcasts like @wefo.com, the Revaubs chats, of course. So we welcome that, we cherish that, we cherish the community. I think it's extremely valuable and I think we're firm believers in just sharing, sharing is caring. And to do this in a non-toxic way, similar to our social media, so you say you don't like social media, but I think it's like this toxic version of social media. That's exactly what we're trying to avoid. There's enough of that already on LinkedIn. So just producing helpful content and not like creating formal everywhere, I think it is the right approach that we believe in. So yeah, I think it's a great community. I'm very thankful for it. And I'm looking forward to the next year and continuing to build that out further. Yeah. Big thanks to all of you for listening. Big thanks for being part of the community. And if you want to get in touch, just ping us on LinkedIn or in Revaubs chat. Slack. For that, enjoy the Christmas season, happy new year and see you in 2025. Oh, 2026. Yeah. That's going to end in a few times. Yeah, I agree. All right. All right. Let's keep that in. Thank you. Bye. Thank you for listening to the Revaubs Lab podcast. If you enjoyed this episode and would like to support us, share it with a Revaubs friend or trap us five star rating right now. And if you have feedback, questions or guest ideas, just send a message to Janis or me on LinkedIn. Thank you and see you next time.