Eppo by Datadog

Day 2 at LDX3 and another standing-room-only crowd for Eppo! Lukas Goetz-Weiss had attendees locked in on his demo of Eppo by Datadog. We're helping get engineering teams from around the world set up with scaleable feature flags and an experimentation platform that's ready to democratize across their orgs.

This is the line to get in to Aaron Silverman's "From 0 to 10,000 Experiments" talk at LDX3 by LeadDev. This is the max-capacity crowd inside. Still hitting the streets tirelessly to get more teams adopting feature flags and experiments at full scale! Drop by the Eppo by Datadog booth to learn more 😎

Eppo is now a part of Datadog 👏🏻 I came on board to help scale Eppo's growth and set the stage for this kind of outcome, and it’s been incredible to see all our momentum turn into this major milestone. A huge congratulations to our Eppo team, we did it! I have to hand it to our leadership team at Eppo, Chetan Sharma, Hang Le, Eric Metelka, Youssef Francis, John Knudsen, Lucy Xu, Cameron Huang, on driving this acquisition forward. It was so great working on this together. And a shout out to my amazing marketing team on the incredible work they've done. Ryan Lucht will be joining Datadog to ensure our mission continues. As for Katie Petriella (SEO Specialist), CJ T. (Sr. PMM), Jake Reidland (Inbound SDR/RevOps), Vishal Agarwala 🌴 (Senior Webflow Developer), and Ryan Cala (Senior Brand Designer) if my network has opportunities for them to explore, they have my strongest recommendation! This acquisition says a lot about the experimentation space that I've worked in for my last 3 companies. It's an exciting step forward in ensuring experimentation and feature management aren't just a 'nice-to-have', they're a 'need-to-have' essential in your tech stack. Innovation started with Eppo. Datadog is making sure it doesn't stop. As for me, I'm excited to support Eppo x Datadog through this transition! That being said, I'm a startup marketer at heart, so I've accepted a new position with a startup I'll announce in the coming days (stay tuned)...

Major news: Eppo is now part of Datadog! This acquisition will drive learning velocity for all Eppo customers, equipping them to expand experimentation across their organizations. With visibility into how any design, product, or technology change impacts the customer experience, teams will be able to connect engineering work to business outcomes—breaking down silos and enabling a culture of velocity and accountability. Eppo customers will continue to receive the same experience, support, and services. Users will still log in to Eppo, now branded as Eppo by Datadog. We’ll be building a new vision for experiment-centric product development that combines Datadog’s expertise in observability with Eppo’s expertise in experimentation. We’ll be working closely with the Datadog teams building Product Analytics, Real User Monitoring, and Data Observability. Read more from Eppo Founder and CEO Chetan Sharma in this announcement: https://xmrrwallet.com/cmx.plnkd.in/edqBXNMq

🚨 We’re going live in 1 hour! Join us for a conversation with Iulian Vasilisca, Head of Product Experimentation at Delivery Hero, as he shares what it actually takes to run a world-class testing program across global marketplaces. https://xmrrwallet.com/cmx.plnkd.in/daJdJQKJ  We’ll cover: 🧱 How his team structures and scales experimentation 🌍 What they’ve learned from testing across complex, multi-sided platforms 🛠️ Tips you can apply whether you're running 1 test or 100 Stick around after for a live demo with Eppo’s Bertil Hatt.

What does experimentation look like at one of the world’s largest delivery apps? Tomorrow, we’re sitting down with Iulian Vasilisca, Head of Product Experimentation at Delivery Hero, to hear how his team tackles testing at global scale. We’ll dig into: 🌍 How they scale their program across brands and geos 🪤 Common traps they avoid in multi-sided testing 🔍 Real lessons learned from running experiments in the wild Join us for a rare peek inside one of the most advanced testing orgs out there. https://xmrrwallet.com/cmx.plnkd.in/daJdJQKJ 

Curious how Delivery Hero manages to experiment at scale across millions of riders and tens of millions of users? So are we. So we’re interviewing Iulian Vasilisca, Head of Product Experimentation at Delivery Hero to see how he does it. We’ll cover: 🚲 How to balance experiments between riders and users, without interference 📱 Why marketplaces need to be extra thoughtful about their A/B testing 💜 His experiences with Eppo as he scales Delivery Hero’s experimentation program Save your spot here: https://xmrrwallet.com/cmx.plnkd.in/daJdJQKJ  Any questions for Iulian? Post them below and we’ll ask them on the call.

If you’ve ever run an A/B test on a high-traffic marketplace and gotten… weird results, you’re not alone. Contamination, interference, and cross-seller effects can all mess with your data. Join us on April 30 for a live webinar with Iulian Vasilisca Head of Product Experimentation at Delivery Hero to learn how his team overcame these issues to get cleaner insights and ship changes with more confidence. Register now: https://xmrrwallet.com/cmx.plnkd.in/daJdJQKJ 

How do you run a world-class experimentation program across 70+ countries and millions of riders and users? We’re interviewing Head of Product Experimentation at Delivery Hero Iulian Vasilisca to find out. He’ll take us through: ✔️ How Delivery Hero experiments at scale with millions of riders and tens of millions of users ✔️ Best practices for marketplace experimentation when A/B testing falls short ✔️ Key experimentation learnings he’s picked up over the years Sign up here: https://xmrrwallet.com/cmx.plnkd.in/daJdJQKJ  If you have any questions for Iulian, leave them here and we’ll ask them on the webinar.

Does it matter what geolift package to use to measure incrementality in marketing test? In the past months Demetri Pananos Ph.D and I have been hard at work tuning our statistics engine for estimating incrementality with Eppo. Now that we have a good number of experiments completed, we figured it would be fun to see how our model compares against the most popular open source packages on actual data. The plot below highlights four such examples. Conclusion: it certainly does matter, and we feel pretty good about what we've put together 😃