The Black Friday digital swarm is approaching. Are you prepared? Sure your infrastructure is ready to scale, you've issued a production code freeze, and you're actively monitoring your applications with Application Performance Management (APM), but many organizations are overlooking one major component that can have a direct impact on Black Friday revenue: the mobile app.
Appbusters are the New Doorbusters
Mobile commerce is at an all-time high. In 2014, one in three online purchases came from a smartphone or tablet on Black Friday and at one point, mobile traffic surpassed 50% of all Internet traffic . From Black Friday to Cyber Monday, 70% of all traffic to Walmart.com was from mobile devices. This growth in mobile purchases is set to continue this year with an increasing number brands offering exclusive deals on mobile apps and in-store digital experiences.
Despite the increasing importance of providing a great user experience for mobile apps, there are few companies who have mastered the mobile space. In fact, only 48% of organizations are using a mobile app analytics solution to understand user pain points and behavior. Without understanding how your users are interacting with your mobile app, it's impossible to put yourself in the shoes of your customers and answer key questions like:
■ Where and when is the app used?
■ What are my users doing with our app?
■ Who is using our app?
■ Is our mobile app successful?
But even if you have insight into user behavior, that alone isn't enough. Without a view into app crashes and performance, you won't understand why your users are behaving in certain ways. Take the following scenario as an example: it's Black Friday and you discover that 20% of your users are dropping off your mobile app at checkout. If you only have a view into user behavior, you won't know if users dropping off because the app is crashing on a specific device type or OS, if it's a certain carrier or network performance issue, if the transaction was taking too long to complete or if the users just decided to not to complete the checkout process.
A mobile app analytics solution that provides you with insight into performance, crash, and usage analytics while providing end-to-end transaction visibility when combined with APM can give you the comprehensive view you need to effectively eliminate your mobile app blind spots.
Derek Stevens is Sr. Product Marketing Manager at CA Technologies.
The Latest
In Part 1 of this two-part series, I defined multi-CDN and explored how and why this approach is used by streaming services, e-commerce platforms, gaming companies and global enterprises for fast and reliable content delivery ... Now, in Part 2 of the series, I'll explore one of the biggest challenges of multi-CDN: observability.
CDNs consist of geographically distributed data centers with servers that cache and serve content close to end users to reduce latency and improve load times. Each data center is strategically placed so that digital signals can rapidly travel from one "point of presence" to the next, getting the digital signal to the viewer as fast as possible ... Multi-CDN refers to the strategy of utilizing multiple CDNs to deliver digital content across the internet ...
We surveyed IT professionals on their attitudes and practices regarding using Generative AI with databases. We asked how they are layering the technology in with their systems, where it's working the best for them, and what their concerns are ...
40% of generative AI (GenAI) solutions will be multimodal (text, image, audio and video) by 2027, up from 1% in 2023, according to Gartner ...
Today's digital business landscape evolves rapidly ... Among the areas primed for innovation, the long-standing ticket-based IT support model stands out as particularly outdated. Emerging as a game-changer, the concept of the "ticketless enterprise" promises to shift IT management from a reactive stance to a proactive approach ...
In MEAN TIME TO INSIGHT Episode 10, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Generative AI ...
By 2026, 30% of enterprises will automate more than half of their network activities, an increase from under 10% in mid-2023, according to Gartner ...
A recent report by Enterprise Management Associates (EMA) reveals that nearly 95% of organizations use a combination of do-it-yourself (DIY) and vendor solutions for network automation, yet only 28% believe they have successfully implemented their automation strategy. Why is this mixed approach so popular if many engineers feel that their overall program is not successful? ...
As AI improves and strengthens various product innovations and technology functions, it's also influencing and infiltrating the observability space ... Observability helps translate technical stability into customer satisfaction and business success and AI amplifies this by driving continuous improvement at scale ...
Technical debt is a pressing issue for many organizations, stifling innovation and leading to costly inefficiencies ... Despite these challenges, 90% of IT leaders are planning to boost their spending on emerging technologies like AI in 2025 ... As budget season approaches, it's important for IT leaders to address technical debt to ensure that their 2025 budgets are allocated effectively and support successful technology adoption ...
