
One of the most effective ways to reduce churn is with onboarding. Customers that understand how to use your software to its full potential are far more likely to remain subscribed and satisfied. Consequently, customers who don’t know how your software works may eventually become so frustrated that they cancel.
If people aren’t making it through your training, that’s a problem. A high dropout rate during onboarding is usually inversely related to customer retention. Let’s discuss what you can do about it.
Customer training follows many of the same basic principles as education. It follows, then, that we can gain some insight into why a customer might drop out from SaaS onboarding by examining the reasons students abandon e-learning. Because like it or not, many do, with some massive open online courses showing dropout rates as high as 95%.
The personal circumstances of students aside, some common reasons for high attrition in online courses included:
Extrapolating based on the above, we can estimate that customers abandon your onboarding for one or more of the following reasons:
So now you know the general reasons why people abandon customer training. But that doesn’t tell you why they’re abandoning yours. To find the answer, you’ll first need to transition from traditional onboarding to data-driven onboarding.
Training, after all, is a data-driven discipline. You’ll want to collect information about everything each customer does during onboarding. That means looking at what they click on, how long they spend on each stage of the training, and how they interact with your training environment.
This serves a few purposes:
| Traditional Onboarding vs. Data-Driven Onboarding | |
| Traditional Onboarding | Data-Driven Onboarding |
| Typically relies on one-size-fits-all content | Tailors training to user needs, background, expertise, and goals |
| Passive learning via slide decks, videos, etc. | Interactive, hands-on learning |
| Generally doesn’t collect user behavior data | Tracks user behavior, engagement, and satisfaction data |
| Lacks a systematic means of identifying quit points | Can readily identify friction and bottlenecks via behavioral data |
| Instructor intervention relies solely on intuition | Automatically flags potential warning signs of a disengaged user |
| Often has difficulty with measuring success and demonstrating ROI | Comprehensive data related to success tracking and value |
A lack of personalization will likely derail your onboarding before it even begins. Your training should not only reflect what the customer wants to achieve with your software, but also the unique operating environment in which they’ll use that software. Make sure to pay attention to the customer’s technical and industry acumen as well — you don’t want to waste their time walking them through things they already know.
There’s only so much one can learn by staring at words and pictures on a screen. Truly effective onboarding not only teaches practical skills, but gives the learner the opportunity to put those skills to the test. You can easily provide that with a custom virtual training lab.
As an added bonus, you can easily tailor that lab to reflect the customer’s ecosystem.
Artificial intelligence has fundamentally changed how training is both measured and delivered. By leveraging AI, organizations can analyze user behavior in real-time, actively shaping and adjusting the content each learner receives. This approach can simultaneously reduce dropout rates, enhance engagement, and lower completion time while also considerably enhancing the ability to demonstrate ROI.
A customer onboarding playbook is basically a means of standardizing the business processes surrounding your customer onboarding. Drafting one allows you to ensure that every customer receives the same basic training experience when being introduced to your software. Topics this playbook should cover include:
While you’re at it, if you don’t already have playbooks for sales, marketing, and subscription renewals, you may want to look into that.
Lastly, you should assess what you’re using to deliver customer onboarding.
Software with built-in adaptive learning functionality is now the gold standard for customer education. These platforms tailor training to each customer’s skills, experience, and needs. By monitoring a customer’s progress through your onboarding, they dynamically shape both how and when content is delivered.In some cases, they may also start things off with a virtual training assessment to support more effective personalization.
Onboarding is one of the most important stages in your sales cycle. An effective customer training program will not only improve retention, but also customer satisfaction.
Getting this right starts with understanding why users might abandon your training — then using analytics, strategy, and the right combination of tools to ensure they don’t.
Contact us or book a demo to learn more about how CloudShare can help you do just that.
Generally, learners drop out of online training programs due to issues with the content. This may mean it’s too complex, misaligned with their goals or experience level, or delivered in a format that’s not engaging. Other reasons include lack of feedback and technical issues.
Users will typically display a specific behavioral pattern when they’re at risk of abandoning their training. Using analytics can help organizations identify these patterns before they become irreversible, triggering early intervention and targeted support.
Virtual labs allow organizations to deliver more engaging hands-on training, allowing users to develop and apply practical skills while also reducing friction and improving motivation.
Personalized onboarding ensures that a learner never needs to ask why or how training content is relevant to them, as it’s tailored to their experience, needs, and role. The process overall is faster, more relevant, and less frustrating.
Successful strategies to increase student retention include: