#104 RevOps Lab 2025 Recap: Growth Metrics, Community Insights & AI Strategy
December 22, 2025
·
19
min.
Key Takeaways
- 189% audience growth proves that niche, practitioner-focused content compounds. RevOps Lab grew its listener base by 189% year over year across 73 countries, with listeners spending a cumulative 150 days consuming the show — all from a self-described "side project" running roughly 42 episodes annually.
- The most-consumed content is hands-on AI application, not AI hype. The top episode of 2025 was "Automating CRM Data Entry with AI" with Mallory — specifically because it skipped the theory and focused on practical implementation, signaling what RevOps practitioners actually want from AI content.
- Community-building at speed is possible with the right constraints. RevOps Chat launched in September with 50 founding members and scaled to 1,400 in under four months — built on three hard rules: no vendors, free forever, and city-based chapters for in-person meetups.
- Data quality is the prerequisite that AI strategy keeps skipping. A core 2025 lesson from building Weflow's AI features: without clean data structure and quality, AI automation fails regardless of how sophisticated the tooling is — a reality that became "very clear this year" across customer deployments.
- Problem-first thinking should gate every AI feature decision. Weflow's product philosophy explicitly starts with the operational problem — auto-updating fields post-meeting, surfacing deal risk, automating follow-ups — and only then evaluates whether AI is the right mechanism, rather than reverse-engineering use cases from AI capabilities.
- Shipping velocity matters as much as strategy in a competitive AI market. Weflow shipped 175+ features and improvements in 2025, with over a third directly AI-related — a pace that reflects how quickly the revenue AI platform space is moving and how much ground teams need to cover to stay relevant.
Full Transcript
Janis Zech: Hello, and welcome to another episode of the RevOps Lab Podcast. I'm here with Philipp, and we have no guests today. It's a special episode just for you. End of year. Hey, Philipp. How are you?
Philipp Stelzer: Yeah. I'm pretty good. How are you?
Janis Zech: Yeah. I love it. You know, Q4 is always just so chill. Nothing going on. Great weather. And yeah, I just feel really good. No, I mean, honestly, I think we had an amazing Q4. We had an amazing year overall, not just with RevOps Lab 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 of what has happened in the last twelve months for us. 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 RevOps 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 RevOps to automate Salesforce data capture, activity capture, conversation intelligence, pipeline intelligence, forecasting analytics, so 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 tactical and value add. We actually launched a community this year. We're going to do a few quick sharing some stats and just, you know, like, give you an insights and what we're planning for next year. So, yeah, Philipp, you know, fill us in. Like, what did we do on RevOps Lab twenty twenty five this year?
Philipp Stelzer: Yeah. Yeah. Perfect. So, of course, there's also Spotify Wrapped for content creators. We went through this. Has some, like, some fun stats. It's not like the full picture, but I think it gives you a good idea. But let's start with the maybe the most important one. This year, we had forty two episodes, including this one. So 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 fifty two, but forty two for just, like, basically a side project feels pretty mind blowing to me. Other than that, we're happy to say that we grew our audience by one hundred eighty nine percent year over year, which I'm sure is a stat that many of you dream 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 RevOps Lab this year. And in total, people spent one hundred and fifty days listening to us, which is pretty insane.
Janis Zech: Yeah. We listened to — it was actually one person. Hopefully hopefully not.
Philipp Stelzer: No. I don't think so. Because, actually, people listen to us across seventy three different countries, US, UK, Germany, Brazil, and Poland being the top five. That's cool. Like, also, Latin America, so with Brazil. So I think that's 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. It was, like, the most liked, 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 viewed our videos. Actually, top ten videos consumed on Spotify came from RevOps Lab. I'm not sure about that stat. I take it with a grain of salt, but, 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 Mohet 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 RevOps Lab this year the most or what you hated the most. We're gonna read the comments.
Janis Zech: And I'm excited about that. The comments. I'm gonna read the comments for sure.
Philipp Stelzer: 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, not surprising, Taylor Swift. Number two, Bad Bunny, also not surprising. Also, I have to admit, got a little bit into Bad Bunny this year. Morgan Wallen, I have no idea who that is, Drake, and Justin Bieber. 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 listen to it or just read it.
Janis Zech: Yeah. I was very happy to see that. Yeah. It's actually a great year. Like, also, personally, highlight of the year having John McMahon 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 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, you know, sorry about that again. That was a weird setup. But my kids were sleeping inside and, you know, I was definitely, you know, out of air when we stopped the recording. But a brilliant one on, like, board reporting and, you know, what the board expects from RevOps. Well worth listening. But that said, we had, I think, thirty eight guests. So to all the guests being here, fantastic job. Thanks for joining. I very much appreciate all the learnings you shared with the audience. That maybe is a good handover to a second project we worked on this year, which has been RevOps Chat, our Slack community. We launched together with fifty RevOps leaders in September. Since September, it's grown to fourteen hundred people. Being very active, there's essentially three main rules: no vendors allowed to ensure that there's no pitching. It's a safe space for asking questions and getting answers. Second, it's free forever. And third is, like, essentially, city chapters where you can also meet in person. We already had the first meetup. We're planning to do a lot more with that community next year, which has been really awesome. Thank you so much for joining. If you're part of the community, I know the community is always the same. Most people basically lurk 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? I think Sean Lane, who was also on the show talking about his book, always says like this, 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 are all very interested in. Yeah, much planned for that community for twenty twenty six.
Janis Zech: I think the third pillar, obviously, Weflow itself — the product that we are building. I don't think — I mean, 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, running the RevOps Chat, by talking to you on LinkedIn, 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, like, particularly, I think, capture and conversation intelligence. It's 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, like, a secure architecture for this, and also shipping this. So we had more than fifty releases this year on the product side, shipped around a hundred seventy five new features, but also improvements, of which more than a third was, you know, very connected to AI — AI infused, you could say. So really trying to, you know, work towards, like, 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 ten x sellers, which, of course, like, is something you often hear, you know, people claim and say in marketing statements. You know? But we're working towards it. It's the mission and vision of Weflow and, you know, doing this in a way that is fully customizable and is built for, you know, like, big RevOps teams, but also the RevOps teams where you're 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, like, more constrained with the resources that they have internally. So, yeah, I mean, it was great on podcast side, on the RevOps Chat side, but also really good for ourselves on Weflow and growing that business massively this year.
Philipp Stelzer: Yeah. Yeah. But you were also very active on LinkedIn, I think.
Janis Zech: 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 six point eight million impressions and one hundred and two thousand comments. Yeah, it's pretty crazy actually. It's pretty crazy and 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, I mean, it's 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 creating this community, we're doing LinkedIn, we're building the product. 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 RevOps to be more strategic, have, you know, more successful careers, and also navigate this, you know, weird AI transformation that we are having. And this is maybe one of the things that we quickly wanna talk about. Right? Like, so what's in plan for twenty twenty six? I think this year, like, you've all seen this directive. Oh, we have to be AI native teams and, you know, AI first and everything. And at the same time, like, you know, it's really about solving problems. Right? Like, when we build features, we think about, okay, how do we solve the problem of automatically updating fields after a meeting? Or how do we automate the follow-up email? Or how do we automate activity capture? Or how do we automatically surface deal risk in pipeline reviews? That's the fundamental problem we're 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. If you don't have good data structure, if you don't have good data quality, your AI strategy won't help you. I think that's become very clear this year. For next year, we have a lot planned. We're obviously continuing 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 webinars. If anyone is interested in giving master classes about certain topics please ping us. This should be really detailed tactical in-depth master classes about topics that RevOps people care about. Then, yeah, we've been growing Weflow as a team to essentially build the best revenue AI platform globally, become really — do 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. Philipp, anything to add from your side?
Philipp Stelzer: No. I mean, I think, for sure, like, just wanna double down on this. Like, if you have feedback, if you have comments, if there's something you wanna share with us, if you're thinking about, like, doing a webinar together with us. Right? So there's lots of opportunities to get in touch with us. Podcast, like, at Weflow dot com, the RevOps Chat, of course. So we welcome that, and we cherish that. We cherish the community. I think it's extremely valuable, and I think we're firm believers in, you know, just sharing. Sharing is caring. And, you know, to do this, like, in a nontoxic way, similar to, like, our social media. Right?
Janis Zech: So you say you don't like social media, but, like, I think it's this toxic version of social media. That's true.
Philipp Stelzer: That's exactly what we are trying to avoid. There's enough of that already on LinkedIn. So just producing, you know, helpful content and not, like, creating FOMO everywhere, I think, 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.
Janis Zech: Yeah. Big thanks to all of you for listening. Big thanks for being part of the community. And if you wanna get in touch, just ping us on LinkedIn or in RevOps Chat Slack. With that, enjoy the Christmas season. Happy New Year, and see you in twenty twenty five. Oh, twenty twenty six.
Philipp Stelzer: Yeah. That's gonna happen a few times.
Janis Zech: Yeah. I agree. Alright. Alright. Let's keep that in. Thank you. Alright. Bye.
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