If you’re new to the SplitMetrics blog, check out this post to equip yourself with insights into App Store Optimization (ASO), deep understanding of mobile A/B testing and the most efficient hacks to empowering your Apple Search Ads.
Improve your ASO with the World's Most Ultimatest App Store Optimization Guide!
The SearchAdsHQ team is excited to announce that our platform for Apple Search Ads optimization and management has been supercharged with custom columns.
We’ve seen multiple cases where Apple Search Ads managers needed metrics beyond those already included in the SearchAdsHQ platform. Or they needed to calculate vital metrics in a manner that differs from ours. Custom columns have been designed to fix all those issues.
In this article, we are going to explore the specifics of creating an Apple Search Ads account structure based on keywords semantics. This is one of the approaches we suggest using, along with the value-based structure.
This is a guest post by Ilia Kukharev, Head of ASO at AppFollow. Ilia won ASO Personality of the Year at ASO Conference 2019 in New York.
In today’s world, 4 years can almost feel like a lifetime, especially in the realm of technology. App store optimization is no different, and here at AppFollow, we’ve seen a lot of changes since 2015. It would take an entire book to get through every single one so let’s hit the most important highlights.
We know a few mobile publishers who started working with Apple Search Ads but then gave up on it, since they didn’t manage to achieve the desired ROI and CPA. In this post, we will explore the most common mistakes in managing Apple Search Ads that undermine the effectiveness of ad campaigns. You will also find actionable tips on how to avoid fails and make the most of this promising channel.
SplitMetrics is excited to announce that our A/B testing platform has switched from the classic approach to the sequential one. From now on, you can test and discover the winning variations of your assets while having an opportunity to:
- Spend less time on an experiment;
- Reduce traffic expenses;
- Bring down the number of required conversions;
- Cut the minimal required conversion difference between variations;
- Decrease false results.
Non-Trivial Insights and App Store Optimization Tips to Help You Boost Your App Downloads.
With mobile riding the waves, mobile apps are often the first to introduce the latest technologies. But what about platforms where mobile apps are placed? App stores are rapidly evolving as well. For the success of your app, you need to keep abreast of all Google Play and Apple’s App Store innovations, test new concepts and adapt to changes. To make your life a little bit easier, we have drawn together updates, insights and tips for app store optimization that are worthy of your attention right now and will remain relevant in early 2020.
Many clients turn to us with the same question: can we do anything more to optimize keywords and other metadata on the App Store and Google Play? They are already pretty good, but the sky is the limit, right?
However, the truth is that you cannot optimize app store product page metadata again and again, and expect a big boost in organic downloads.
Picking the right keywords to bid on is definitely not enough for Apple Search Ads success. It also lies in the way you organize them into campaigns and groups.
Keywords grouping can be done in many ways, for example, based on keywords semantics or on the value brought by the searchers who use these keywords.
This is a guest post written by Thomas Petit, remote freelancer on app marketing and mobile growth and regular speaker at mobile conferences.
In this post, I will showcase some of the latest trends in mobile app marketing and user acquisition (UA), taking a guess at what the near future may look like and what changes mobile marketing teams should anticipate to stay ahead of the curve.
The trends are grouped around 3 topics:
- Evolution of App Acquisition Channels.
- User Acquisition Is Dead.
- The Upcoming Attribution Limitations.
When it comes to A/B tests, anyone has a natural desire to get trustworthy results without spending a heap of money on traffic. Alas, it’s not always possible with classic A/B testing which requires enormous sample sizes at times.
Is there a better way? Sure, there is!
Sequential A/B testing might become a robust alternative. Such experiments don’t only optimize necessary traffic volumes but also reduce the likelihood of mistakes. If you feel like exploring how it works in our platform, read on SplitMetrics sequential A/B testing principles.
Nor, let’s take a closer look at this method theoretically and learn how it differs from the classic A/B testing flow.
ASO Starter Pack: App Store Optimization, Mobile A/B Testing and Apple Search Ads
Apple App Store Guidelines: objectionable content, metadata, privacy and minimum functionality
The Ultimate Guide to App Keyword Optimization: Research, Tactics, Tools and Tips
Ultimate Guide to App Advertising: Tools, Insights and Tips to Empower Mobile Marketing
World’s Most Ultimatest App Store Optimization Checklist
App Conversion Rate: 10 Ways Marketers Use App Store Page Analytics To Increase It
New Apple Search Ads Course
Learn to manage Apple Search Ads campaigns, discover keywords and optimize important performance metrics