AIM by Kochava

Sarah's on a mission to conquer the mobile gaming world, and lucky for her, Always-On Incremental Measurement (AIM) is a powerful ally. 🎯 Watch her story unfold as she tackles the wild world of mobile gaming with AIM, transforming from just another UA marketer into THE UA marketer: https://lnkd.in/gH_wT4NV #digitalmarketing #gaming #marketingstrategy

Join us at the Bay Area Kochava Growth Forum for expert growth strategies in 2025! 🗓️ When: February 19 | 11:30 AM PST 📍 Where: WeWork, 2 Embarcadero Center, 8th Floor What to expect: - CTV Attribution Strategies with real insights from Super Bowl LIX - Advanced MMM solutions to drive results - Apple Search Ads strategies to boost performance + brand safety 🎟️ Seats are limited—request your invite now: https://lnkd.in/gU3EgZ2a #digitalmarketing #adtech #martech

🚨🎙️TOMORROW @ 8AM PST: Incremental or Not? Discerning Incrementality on Apple Search Ads Get live expert insights on brand keywords, incrementality and more. Register now and bring your questions! 🔗 https://lnkd.in/gsBVWZhk

🔁 Catch the replay! Fresh off CES, our team explored what’s next for CTV and how it connects with mobile and digital out-of-home to work better together. Don’t miss these insights: https://lnkd.in/gp-RMMg9 #CTV #CES #MarketingStrategy

Grant Simmons, VP at Kochava Foundry, highlights how Google's Privacy Sandbox for Android follows Apple's lead in limiting user tracking 📱🔒 Data clean rooms offer a compliant solution. These secure environments allow advertisers to analyze data and gain insights without breaching privacy guidelines. #DataPrivacy #MobileAdvertising #MarTech

Are your Apple Search Ads truly incremental? Is spending on brand keywords worth it? Join our ASA and incrementality experts to uncover the answers. Learn how to measure the true incrementality of your ASA spend—and what to do next. Bring your questions! 📅 January 28 | 8 AM PST 🔗 Register now: https://lnkd.in/gsBVWZhk #ios #mobilemarketing #marketingstrategy #webinar

The gaming industry is changing faster than ever, bringing new challenges for marketers to tackle. In New Digital Age, Gary Danks, GM of AIM by Kochava, shares how advanced marketing analytics can help gaming brands grow smarter in 2025. 👉 Read the full article: https://lnkd.in/gQDgc57J #gaming #digitalmarketing #analytics #measurement

Advanced marketing analytics will transform the gaming industry in 2025 "Over-reliance on the traditional worldview of last-touch attribution does a disservice to the increasingly diverse media mix strategy of gaming studios." - Gary Danks, GM, AIM by Kochava Click the link in the comments to read everything Gary has to say about the impact marketing mix modelling will have on the mobile gaming industry in 2025.

Last-touch attribution is simple, but it doesn’t tell the whole story about what’s driving your results. That’s where marketing mix modeling comes in—it helps you see how all your channels work together. Curious how it works? Check out the blog! ⬇️ #attribution #measurement #adtech #marketing

MMM Myth#4 : It's difficult to trust its results New data modeling techniques can often be met with skepticism especially if the marketing team is used to something else, last-touch attribution for example. Change of mindset from relying purely on last-click to using holistic and unified measurement is key when starting with MMM. So, how do you overcome the trust barrier? The key is selecting an MMM provider that prioritizes model accuracy. Here’s what to look for: 1. KPI Forecasts: Accurate forecasts of main KPIs provide a tangible proof of concept. By comparing these forecasts with raw data, clients can directly assess the model’s precision. 2. Continuous real-time learning: While building the model starts with historical data, the true value lies in its ability to learn from ongoing activities, adapting and improving in real time. 3. Self-Evaluation: Robust MMM systems use a holdback window, making predictions based on past data without access to actual outcomes. This “blind” forecasting ensures unbiased predictions based purely on the model’s data understanding. 4. Self-Iteration: The system continuously refines itself, evaluating each model against actual results. It selects the model with the lowest error rate, ensuring the most accurate and up-to-date insights for clients. With these features, an MMM provider can help build trust and deliver reliable insights. I happen to know a tool that offers all of this! 😉 #marketingmeasurement #mmm #attribution