The most intelligent way to know when and how to monetize your user

Joined December 2022
238 Photos and videos
One chart that should change how you think about mobile sessions.
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One of the coolest vendors at #MAUVegas 2026” This month’s newsletter: 👉 Why the industry feels optimistic again 👉 The shift from manual optimization → adaptive systems 👉 Our 8-min Mic Drop 👉 AI & app growth insights And yes - people literally lay on the floor to test us!
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🔥 @mauvegas_ Wrapped - ContextSDK Edition ✈️ 18,963 km traveled 👣 100k steps 😴 0% sleep 🥐 60 breakfast guests 🍸 20 dinner guests 🎤 1 mic drop 🍬 200 chewing gums distributed 🤝 100s of amazing new people met Vegas was wild. Huge thanks to everyone 💜 #MAUVegas
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ContextSDK retweeted
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Crazy Shit I Saw At MAU Vegas 2026 the two COOLEST vendors I spoke with: ContextSDK - this project is so cool. install their SDK in your app, and you will be able to know if your user is sitting/standing/walking/on train/in bed. you can use this to serve conditionally shorter/longer onboarding, different pricing, or even to *time your push notifications* for when a user is actually on their phone. i tested it in person, saw it working accurately in real time. literally laid down on the floor and it worked perfectly. many potential use cases Day30 AI - do you optimize your paid ads for a start_trial conversion event? do you get shitty leads that *don’t* convert to paid because of that? well imagine you only sent the start_trial event IF your user does some in-app activity that makes them more likely to pay for example, imagine CalAI only sending Meta the start_trial event if the user doesn’t cancel tracks three meals in their first 24 hours. rather than sending Meta the start_trial event for users who cancel/never track. this is what Day30 does, you just give them access to your Mixpanel api but also, you don’t arbitrarily choose the in-app activity that triggers your event. i believe Day30 constantly monitors the behaviors that make someone more/less likely to convert and creates a probabilistic model tailored for your app. so you’re not *guessing* at what activity makes people likely to convert, you are by default optimizing for the *true* activity that makes people likely to convert ^ i’m not sponsored by these guys or anyone. i just love what they’re doing will share more random stuff from MAU
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Best MAU Vegas hack? Host breakfast on Day 1. Everyone signs up for endless side events - but early ones win. People show up fresh, focused & ready to connect (free coffee helps 😉) Huge thanks to @AddictmobileUA , @edge_226 & @Startiai 💜 Meet us Booth K8 ✌️ #MAUVegas
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What if your app knew whether users are sitting, walking or commuting right now? Would you still send the same push, show the same paywall or serve the same ad? Our CEO @Sierralog explains why timing changes everything. 📍 MAU Plaza 🗓 WED, May 20 ⏰ 3:45-3:55 PM #MAUVegas
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✨ #26 - April at ContextSDK There’s a shift: teams are moving from manual decisions → real-time systems. In this month’s newsletter: 👉 Apps that act on their own 👉 ~3.9x higher push open rates 👉 What we’re bringing to MAU Vegas 👉 New: influenced open tracking 👇
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Paywall conversion isn’t one decision - it’s five: user, offer, price, placement, moment. Everyone optimizes the first four. Almost no one the fifth. Same user same paywall, different moment → completely different outcome. Not more paywalls. Better moments.
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Just wrapped up a special project mission in NYC 🇺🇸🤫 Reinhard & Severin were on the ground making things happen! More to come soon 👀
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🇬🇧 Dieter, Zach & Melisa will be at @apppromotion London! 🇬🇧 Join our exclusive roundtable: From User Flows to User Moments 🗓 Thu, Apr 23 · 4:00-4:40 PM (London) We’ll explore how on-device contextual signals help apps adapt in real time. 💜
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We just shipped ContextSDK 5.15.0. And with it: influenced open tracking. Until now, push performance = clicks. But what about users who: 👀 see the notification 📱 open the app later We now track both: direct opens (clicks) influenced opens
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🏃 From startups to ultra runs - meet our newest team member! 10 years across Software Engineering & ML, with a love for building in fast-paced environments. When not working: Lukasz is traveling the world, pushing limits in ultra running or off on adventures with his family.
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🧠 Welcome Radu Rogojanu to ContextSDK! 20 years in ML - from medical imaging to fraud detection to generative AI. He builds not just models, but full data systems that actually work in production. Excited to have him on board 🚀
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