We all want our apps to be “sticky” because acquiring new customers can be very expensive – according to Harvard Business Review it can be 5 to 25 percent more expensive than retaining existing customers. Embedding analytics in your app is an effective way to acquire stickiness, helping you to meet the evolving needs of users and delivering value in every use of the application.
Of course, analytics are an indispensable tool for product managers: a recent report from Hanover Research found that 82% of knowledge workers consider analytics to be very to extremely significant to their role and 77% said they would adopt a new analytics solution if it were embedded.
But how can you make sure your hard work and investment into analytics doesn’t go to waste on low user adoption? In this advertorial, we share three insider secrets to keep in mind when trying to increase product adoption and usage with data analytics.
1: Provide built-in data analytics
Granting users access to data alone isn’t enough to provide value that’s useful for day-to-day operations. Because of the sheer volume of data collected, it’s crucial to provide end users with the ability to make strategic data-driven decisions within their current application. According to a recent report, 83 percent of business users seek the chance to work and stay in a single application when a decision must be made.
We know that users have an unmet and growing need for deeper interaction with their data, and that the integration of analytics into their workflows will give them deeper and more contextualised insights. The easier you make it for users to access analytics, the more likely they are to continue to return to your application.
At Logi Analytics we see this improved user experience all the time. For example, when channel and learning readiness SaaS provider BlueVolt partnered with Logi Analytics to create a better customer experience with our embedded self-service and customizable analytics their customers were able to increase sales by 16% in 4-6 months. Gaven Singh, Vice President of BlueVolt, adds: “The ability to bring your own data and mix it with our platform data really sets us apart from our competition. No longer do our customers have to move their data to a third-party application for reporting; they can analyze their data and generate reports right in our application.”
2: Put the data in context
Embedding analytics is a great first step, but it’s also important to think deeply about the context in which users need analytics when doing so. When you design dashboards and data visualizations, you should always aim for a cohesive user experience – one that gives users both access to their data and the context they need to make data-driven decisions.
By providing data in context, you reduce the time to action and enrich the user workflow, increase interactivity, and boost productivity. It can also boost user understanding of data when analytics are provided in a context they are already more familiar with.
Embedded analytics gives users the full view of their data with a consistent look and feel, so users can contextualize insights and make a direct connection between your app and their business’s successes.
3: Deliver intuitive and customized self-service
Demand for analytics no longer comes from data analysts alone, every user in an organization has a need for data. From receptionists to senior leadership, and all the teams in between, everyone should be able to make data-driven decisions within your application. Each user persona has unique needs and skill levels however, so if you can provide customizable self-service capabilities that match users’ skillsets, user adoption will naturally increase.
Modern Business Intelligence (BI) with customized self-service helps increase reliance on an application and reduce requests for new visualizations as more users are able to leverage analytics. A bonus for developers is that deploying self-service frees up time and resources for more critical application needs because it decreases support tickets. If users already have the information they need in an intuitive format, they won’t feel overwhelmed or need assistance.
When development teams focus on enriching the user experience and driving business value to their end users through analytics, it’s only natural for user adoption to skyrocket.
Want to learn more about the key functionality of embedded analytics that supports user adoption? Watch our webinar, Insider Secrets to Boosting User Adoption. In it, Product Manager Seth Hutcheson and I discuss the value-adds of embedded analytics that will make your application a must-have for your end users.