Virtual training

How to Reduce Your Training’s Dropout Rates

Photo by the author
Jul 17, 2025 - 4 min read
How to Reduce Your Training's Dropout Rates

Key Takeaways

  • Traditional onboarding has a much higher dropout rate due to a lack of personalization and visibility into friction and quit points
  • Businesses can reduce churn and dropout rates by delivering interactive, hands-on training focused on each participant’s needs, goals, and expertise
  • Artificial intelligence and adaptive learning are both powerful and essential in delivering more engaging and successful training

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.

Why Users Abandon Onboarding

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:

  • Courses designed based on incorrect assumptions about the learner.
  • Poor content delivery.
  • Technical issues.
  • Content is too complex or overwhelming.
  • Lack of guidance from instructors.
  • Insufficiently-trained instructors.
  • Inadequate feedback.

Extrapolating based on the above, we can estimate that customers abandon your onboarding for one or more of the following reasons:

  • The process is either too complicated or takes too long to complete.
  • Onboarding does a poor job of explaining how your application works.
  • There are bugs, glitches, or bottlenecks in your onboarding experience.
  • The training isn’t relevant or aligned with the customer’s needs.
  • The content isn’t delivered in an engaging way.
  • Your customer success team is not sufficiently trained

Identifying the Cause of Your Training Dropouts

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:

  • It can help you identify quit points in your training by examining usage trends over time.
  • It provides instructors with early warning that a customer might be on the verge of dropping out.
  • It allows you to determine how and what to change in your training processes over time.
  • By combining training analytics with other business data, it allows you to demonstrate concrete ROI for your customer training.
Traditional Onboarding vs. Data-Driven Onboarding
Traditional OnboardingData-Driven Onboarding
Typically relies on one-size-fits-all contentTailors 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 dataTracks user behavior, engagement, and satisfaction data
Lacks a systematic means of identifying quit pointsCan readily identify friction and bottlenecks via behavioral data
Instructor intervention relies solely on intuitionAutomatically flags potential warning signs of a disengaged user
Often has difficulty with measuring success and demonstrating ROIComprehensive data related to success tracking and value

Five Steps to Reduce Churn Rate and Dropout Rate

1. Start With The Customer’s Needs

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.

2. Make it Interactive

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.

3. Utilize AI-Driven Personalization

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.

4. Draft a Customer Onboarding Playbook

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:

  • Critical touchpoints in the onboarding process, and how customer success should engage at each one.
  • The desired outcome of your customer training and milestones to measure progress towards that goal.
  • The entry point, exit point, and potential quit points.
  • How instructors/customer success staff should intervene if a customer appears ready to drop their training.
  • Details on different user segments and use cases, and how that impacts training.

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.

5. Make Sure You Have the Right Tools

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. 

Training for Retention

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.


FAQ

What are the most common reasons learners drop out of online training programs?

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.

How can analytics help predict and prevent high training dropout rates?

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.

What role do virtual training labs play in boosting course completion rates?

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.

How does personalization improve learner retention in SaaS onboarding?

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.

What are some proven strategies to increase student retention in eLearning?

Successful strategies to increase student retention include:

  • Dynamic, personalized content
  • Analytics-driven intervention
  • Instant learner feedback
  • Data-driven content optimization
  • Milestones for progress and success tracking