Let’s think about the application store model

App Store? Google Play? Some of us had conflicts with them…

Even in June, this post would have been valid when the team of Basecamp clashed with Apple in connection with their new HEY Email application, however, now due to the “Fortnite conflict”, the topic has become even more relevant.

What’s the source of the problem?

In both cases, the debate derives from the payment within the application, however, there are significant differences:

-while in the case of Hey it is about an application that raises business productivity and monthly subscription

-in the case of Fortnite it is about free-to-play games with micro-transactions

The latter even goes further: relying on the Unreal Engine and Fortnite, it builds its own metaverse at a high pace with its own play store, cloud game platform, and payment system.

Their interests are common in terms of planning to change Apple’s in-app purchase system. No surprise happened: Apple and Google immediately banned the applications from their stores. We can be sure of the fact that both teams prepared for this.

Fight for a better user experience and a higher margin.

They intended to decrease the high fees radically (during the first year 30%, from the second 15%) and set their own solution instead.

Of course not in the case of every application will the owner companies pay if somebody subscribes to the service or pays for something. Most of the companies avoid this fee by the payment transactions that are not happening in the application but their OWN, dedicated web service.

That’s the same in the case of Netflix, Spotify, Microsoft 360, or the Amazon Store, that’s what the owners do. For sure it could have happened like this in the case of Hey and Fortnite apps but that is obviously a worse user experience and they would have lost a lot of income.

At this point, the interest of the companies inevitably differs.

Where did the App Store start?

To see the situation more clearly, it’s worth getting back to 12 years ago, right before the App Store was created. The software business was completely different then. I’d highlight four significant problems:

from the side of the developers: 1. Piracy; 2.spreading

from the side of the customers: 1. Finding and trust; 2.

From the perspective of a development company, probably the biggest challenge was piracy. There is no consensus on how much it took but it did a lot for sure. There was a point then when PC gaming almost entirely collapsed as it wasn’t worth it.

It wasn’t so much a smaller problem to get their products to the audience: so spreading and availability.

On the customer side, the problem was with trust. “I’ve found sites and apps but can I trust these? Won’t I get a virus if I download these?”

And then there was the case when I knew what I wanted and I found it on a random page but then comes the hesitation: ‘Shall I pay here? What if some kind of problem will arise?”

By this time Apple has got a nice experience on Itunes’ music distribution site and managed to solve a problem between music producers and consumers. Several problems came up but they managed to solve them and moved forward the spread of digital music.

The App Store ecosystem

Based on all these they established their App Store product, which is a sensitive ecosystem, in which all the builder stones are very significant:

-the IOS platform where the ratio of unlocked devices is low

-APIs are strictly closed, developers are locked out of the system

-Seriously pushed updates that don’t leave anybody behind

-the review team strictly limits what can get inside the system therefore harmful application rarely gets into the system

-the support team is also very helpful and effective, super open to give back your money

Apple set certain serious rules and built significant apparatus for these (even sometimes consisting of thousands) and several surveys show that their “trust index” from the customer side is very high.

How can this be measured?

Both sides have their own truth. Examining Apple’s side we need to say that Apple is a good owner and conductor of the app ecosystem. Of course, for some reasons, it insists on the current state:

-on the one hand, it is a very prospering business, therefore, they’re trying hard to get everything out of it

-trust would decline if certain components get to “outsider” hands

I think it is undisputed that these stores brought a lot of income for developers. They changed entire industries for instance Gaming.

From the side of the developers, it is obvious that 30% is a very significant part for the spreading, especially during the time of COVID-19.

What can be the solution?

At some point, I believe they should reduce the current percentage to some extent to help developers. I don’t think they would like to compete with Epic’s 15% (which already includes the 5% Unreal engine fee), but a little.

I cannot imagine a similar “several stores” model in the case of Apple as Android has and I’m not sure if customers would benefit from that.

The big question is where the current acts against anti-trust will lead.

What do you think?

You keep your softwares always up-to-date, right? Be informed about the IT & Remote work news and click on the link: https://email.rolloutit.net

Book a call or write to us

Or

Send email

By clicking on ‘Send message’, you authorize RolloutIT to utilize the provided information for contacting purposes. This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Gone are the days when bankers had to deal with a huge pile of paperwork, and customers at banks had to wait in long queues to get a transaction done. All thanks to technology, which has the potential to transform banking at an exponentially faster pace.
About 93% of online experiences start with a search engine. AI-powered search enhances user engagement by utilizing machine learning and natural language processing to provide more accurate, context-aware, and personalized results. Let’s explore how AI-driven search is reshaping personalization and user engagement, and why businesses that ignore it risk falling behind.
Have you noticed how online searches have become more conversational? Whether it’s through voice assistants or typing out detailed queries like “What’s the best pizza near me?” or “How do I fix a leaky tap?” The way people search is changing rapidly. This growing trend toward natural language queries highlights the need for businesses to rethink how they handle search functionality and adapt to this new era of AI-powered search.
DeepSeek has made waves in the AI industry by claiming to have trained a 671-billion-parameter model for just $6 million—a fraction of the budget typically required by industry leaders like OpenAI and Meta. To put this into perspective, Meta’s Llama 3 training required 30.8 million GPU hours, while DeepSeek achieved similar results with just 2.8 million hours. This raises an intriguing question: was this cost-saving feat driven by hardware innovations such as TPU clusters, or was it the result of sophisticated software optimizations?
New research from Epsilon shows that most people, about 80%, are more likely to buy something when brands make their shopping experience feel personal and special. This shows how important predictive analytics is for e-commerce businesses. Predicting customer needs using data is essential for staying ahead in the competitive world of e-commerce. Let’s explore how data analytics can help us predict shopping trends, make better decisions, and create personalized experiences that drive success. 
Did you know that 35% of what customers purchase on Amazon is directly influenced by its recommendation algorithms? That’s not just a number but a proof of how transformative machine learning (ML) has become in shaping modern e-commerce. In an industry where consumer preferences evolve faster than trends, personalized product recommendations are a key driver for driving sales and enhancing user satisfaction. Let’s dive into how machine learning optimizes product recommendations and why this technology is indispensable for e-commerce businesses.