The Dynamic Pricing SDK is now free.

Getting Initial Traction – The Free Dynamic Pricing SDK for Mobile Apps

Brendon Boshell
By: Brendon Boshell
April 5, 2017

When I first started Sweet Pricing last year, I thought that getting initial traction would be easy. I had spoken to many hundreds of app developers and there was a clear market need for a dynamic pricing SDK. It seemed all I needed to do was build that tool, work through my database of 55,000 app developers and get them live.

But, as with any new product, app developers had some concerns. Few app developers are willing to be the first to try a new solution, particularly when it requires some implementation effort on their side. It was, and still is, my job to address those concerns.

Read more
App Store Now Shows App Developer’s Replies to User Reviews

App Store Now Shows App Developer’s Replies to User Reviews

Brendon Boshell
By: Brendon Boshell
April 3, 2017

App developers can now reply to user reviews on the Apple App Store. By leveraging replies, app developers can improve user experience and indirectly encourage users to update their negative reviews.

Reviews are important. They are one of few trust signals, helping users decide whether to download or buy a mobile app from the App Store. This is why reviews have been critical to an app developer’s app store optimization strategy.

Read more
Pricing As a Service for In-App Purchases

Pricing as a Service: How Mobile Apps Can Optimize In-App Purchases

Brendon Boshell
By: Brendon Boshell
March 23, 2017

Most mobile apps today use static pricing. Prices are hardcoded into a mobile app and rarely change. But with freemium mobile apps taking a data-driven approach to improve monetization metrics, app developers are looking at ‘pricing as a service’ solutions like Sweet Pricing to increase revenue and engage price-sensitive users.

Traditional consumer businesses, including many store-based retailers, have previously thought of pricing as more of an art than a science. The lack of data has made it difficult to understand consumer purchasing behavior and even more difficult to create actionable insights in terms of pricing.

Read more
App rot is the problem of app developers abandoning their mobile apps on the App Store.

App Rot: Apple Is Removing Old Apps From the App Store

Brendon Boshell
By: Brendon Boshell
March 15, 2017

App rot is a big problem on the App Store. With recent changes to the Review Guidelines, Apple is tackling app rot by removing outdated and unsupported mobile apps from the App Store.

App developers have published more than 2 million mobile apps since the App Store first launched in 2008. Starting from a few thousand mobile apps in the early days, the App Store quickly ballooned to millions of mobile apps as developers took advantage of the App Store Gold Rush.

Read more
Android Instant Apps gives access to mobile apps without installation.

Could Android Instant Apps Replace the Mobile Web?

Brendon Boshell
By: Brendon Boshell
March 10, 2017

Android Instant Apps close the gap between mobile apps and the mobile web. Google announced Instant Apps at I/O 2016 as a way to access content and features within mobile apps without installation. But this new technology threatens the future of the mobile web itself.

Mobile apps and the mobile web have offered totally different user experiences up to now. Content in the form of web pages has been easy to access on the mobile web. But content within mobile apps has been difficult to deliver from Google Search and other websites.

Read more
Calculation of ARPDAU depends on the timezone.

Is It Time to Stop Using ARPDAU to Measure Mobile App Revenue?

Brendon Boshell
By: Brendon Boshell
March 1, 2017

Average Revenue Per Daily Active User (ARPDAU) is an industry-standard metric that tracks a mobile game’s monetization performance. It tells a mobile app developer or marketer how well a freemium mobile game converts its players into cash.

On the face of it, it looks like a simple metric to interpret. The calculation is simple. An app developer simply totals the revenue between 00:00 and 23:59 and divides it by the number of unique users in that same time period.

Read more