The correlation between mobile app crashes and increasing churn rates (or declining user retention) has long been suspected. In the report, titled Crash and Churn, Apteligent set out to understand the impact of per user crash rate on churn, using both approaches to the definition of churn. Whereas an app's crash rate is the total number of crashes divided by number of app loads, the analysis employed a per user crash rate to allow us to consider the segments of the population experiencing that issue.
The report contains many key takeaways for digital marketers, product managers, and mobile development teams:
Crashes can increase churn by as much as 534 percent
This represents a six-times increase from your "average" churn rate. The report found a more accurate depiction of crash and churn relation when viewed through Android devices over IOS. IOS displays a lower churn rate compared to Android, but, due to the platform design, users cannot send a crash report until the next time a user opens the app. And, in some cases, the user could use the app, the app crashes and that user may never go back to that app again so, that crash won't be counted as a churn cause.
Crashes have a significant impact on next day app opens by as much as 8x the normal rate
The report calculates how likely a user would be to return the day following a crash taking into consideration that 1.8 percent of users don't return to an app the next day even after a crash-free experience. As the per user crash rate approaches 100 percent, the churn rate increases to almost 15 percent. Again, IOS limitations led us to believe that Android had more accurate data.
Less engaged users, or users with lower app opens per day, tend to churn at higher rates based on crashes
The fewer apps a user engages with, the more sensitive they are to crashes, increasing their churn rate. The report notes that as crashes per day increase, we see a steady stream of churning users, especially those that load an app ten times or fewer per day. Perhaps one of the most interesting behaviors discovered was that the inverse of this is true as well. The more a user uses an app, the more resilient they become with crashes.
The impact of crashes on churn also varies by app store category
Shopping and finance apps, the most revenue-critical, were particularly vulnerable to crashes causing increased churn rates, while games and travel were much more resilient. While the data proves the aforementioned to be true, we cannot prove why users of games and travel are more forgiving of app crashes. We can only speculate that games and travel apps crashing may not be be enough to sway users away from addictive games or travel necessities, regardless of frustration with the experience.
For app owners, the report underscores the immediate return on investment that comes with applying the right resources to app performance. There are immediate and medium term revenue losses associated with churning app users and customers. In addition, the cost of acquiring new users is much higher than those associated with retaining existing users.
In 2017, the organizations who win on mobile will be those that select vendors applying proven data science techniques to big data collection. Data, without insights, is noise.
Andrew Levy is Co-Founder and Chief Strategy Officer of Apteligent.
The Latest
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
The mobile app industry continues to grow in size, complexity, and competition. Also not slowing down? Consumer expectations are rising exponentially along with the use of mobile apps. To meet these expectations, mobile teams need to take a comprehensive, holistic approach to their app experience ...
Users have become digital hoarders, saving everything they handle, including outdated reports, duplicate files and irrelevant documents that make it difficult to find critical information, slowing down systems and productivity. In digital terms, they have simply shoved the mess off their desks and into the virtual storage bins ...
Today we could be witnessing the dawn of a new age in software development, transformed by Artificial Intelligence (AI). But is AI a gateway or a precipice? Is AI in software development transformative, just the latest helpful tool, or a bunch of hype? To help with this assessment, DEVOPSdigest invited experts across the industry to comment on how AI can support the SDLC. In this epic multi-part series to be posted over the next several weeks, DEVOPSdigest will explore the advantages and disadvantages; the current state of maturity and adoption; and how AI will impact the processes, the developers, and the future of software development ...
Half of all employees are using Shadow AI (i.e. non-company issued AI tools), according to a new report by Software AG ...
On their digital transformation journey, companies are migrating more workloads to the cloud, which can incur higher costs during the process due to the higher volume of cloud resources needed ... Here are four critical components of a cloud governance framework that can help keep cloud costs under control ...
Operational resilience is an organization's ability to predict, respond to, and prevent unplanned work to drive reliable customer experiences and protect revenue. This doesn't just apply to downtime; it also covers service degradation due to latency or other factors. But make no mistake — when things go sideways, the bottom line and the customer are impacted ...
