Editorial Policy

Purpose

This Editorial Policy describes the principles governing the creation, review, and publication of editorial content produced by CAS.AI. It is intended to promote transparency regarding our editorial standards and does not create any contractual rights or obligations for readers, customers, or third parties.

CAS.AI, as a growth operator, puts together the people who actually spend their days inside mobile ad mediation, not by outsiders just writing about it. Everything we publish comes straight from the same place as our product: real waterfall data, real fill-rate headaches, real revenue choices.

We share what we figure out so developers and publishers can stop guessing and start making smarter calls about monetization.

What Kind of Content Does CAS.AI Produce?

Running a mobile app business means juggling ad networks, chasing eCPM, hunting down fill rate drops, and trying to keep up with a platform landscape that seems to shift every few months. And all of that is before you even get to building the product itself.

So we write content you can actually use, not just skim and forget. Every guide, comparison, and article is built to help you:

• Understand mediation, bidding, and monetization mechanics through technically valid content.
• Solve real problems like fill rate, latency, or waterfall setup with practical, step-by-step help.
• Boost your ad revenue using strategies grounded in real performance data, not just theory.
• Pick the right tools and networks using honest, benchmarked comparisons.

In other words:

• Precise. We write the same way we build our products: no nonsense, no hand-waving. If we reference a number, it is based on real data and measurable benchmarks, not guesswork.
• Efficient. You have a business to run, not time to waste on marketing speak. We get straight to the point and respect your time.
• Actionable. Every piece is something you can put to work right away. Maybe it is a setup you can launch, a comparison you can use to make a call, or a number you can check your own results against.

Our Editorial Process

The people who actually run CAS.AI’s mediation platform shape our content. We do not hand it off to outsiders with no skin in the game. Whether it is a blog post, a comparison, or a guide, every piece goes through the same process:

1. Topic selection. We keep an eye on what is really changing in mobile ad tech, like platform policy changes, new bidding standards, or network performance trends. We focus on the topics that will actually move the needle for publishers’ revenue and decisions.
2. Expert input. We take the topic straight to the people with hands-on experience, like CAS.AI’s founders Oleg and Zoriana or the product and engineering team. That way, every piece is rooted in how mediation works in the real world, not just on paper.
3. Data gathering. We dig up the numbers, whether it is performance benchmarks, platform data, or data from CAS.AI’s own mediation network.
4. Drafting. Our writers take the data and input from our experts and turn it into a clear, structured article you can read in one go and put to use right after.
5. Expert review. Before anything goes live, the expert who helped shape the piece checks it for accuracy and gets credit as a reviewer or co-author.
6. Final edit. We give everything one last look for structure, language, and facts to make sure it is right before we hit publish.

Meet Our Experts

We want you to know exactly whose experience is behind our content. Every relevant article credits the internal experts involved.

Oleg Shlyamovich CEO & Co-Founder, CAS.AI

The CEO and Co-Founder of CAS.AI, a leading mobile ad mediation and game publishing platform powering over 5,000 apps worldwide with more than 1 billion monthly ad impressions. Bringing nearly a decade of technical ad tech expertise, he has scaled the platform to 5 billion+ total downloads by combining hybrid bidding, advanced ROAS optimization, and data-centric user acquisition.

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Zoriana Omelchuk Head of Marketing, CAS.AI

The Head of Marketing at CAS.AI, bringing 12 years of mobile marketing expertise to lead user acquisition, ASO, and performance strategy across a 200+ game portfolio. She manages a $1M+/month UA budget across major networks such as Meta, Google, TikTok, and ASA, combining scalable creative A/B testing, SKAN attribution, and ROAS optimization to treat UA and monetization as a unified growth system.

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This Editorial Policy is provided for transparency purposes only. It does not constitute legal, financial, advertising, or technical advice. Readers should make independent decisions based on their own circumstances.