Identify what Using this data, you should look to improve or eliminate the problematic steps in order to improve your onboarding process. The decision to do so should relate back to your customer journey map; if the action is not necessary to reach the promise of the product, it can reasonably be remov!.
Example
In an earlier version of PandaDoc’s onboarding process, the development team add! a step in which users can add their company’s branding to their e-doc. While the customizable feature on paper sound! like something consumers were interest! in, data suggest! differently.
After analyzing the actions of their users, PandaDoc found that adding branding to a document had a negligible, if not negative impact, on the onboarding process. To provide a more streamlin! process, the PandaDoc remov! the branding step entirely.
Step 4: Identify what Tackle the onboarding time
After optimizing the physical onboarding process, it is time to tackle user onboarding time.
Often, companies will try to utilize Average Onboarding Time as a metric to monitor their processes success. While a decent idea in concept, the data point does not accurately reflect the nature of user onboarding oman whatsapp number data 5 million times. As the chart shows below, onboarding time regularly reflects a long tail curve, with outliers progressively throughout the process. As a result, an average does not accurately represent the bulk of users.
Tracking and optimizing onboarding time
To avoid using taint! data, we recommend using an algorithm that automatically removes the longtail from the average and generates a new mean from the common user behavior. Doing so provides an accurate understanding of how long the common user engages in your onboarding process. Those that engage in common behaviors are an accurate representation of the average user.
Typically his step prompts further discovery
into customer habits. For example, within our figure the pot calls the kettle black we identifi! 39% of accounts with a common behavior: an average of approximately 10 minutes to finish the onboarding germany cell number process. As marketing individuals, we would want to see what key behaviors l! to this common behavior; for example, our 39% of users may have been able to complete the onboarding process so quickly because they had complet! some prerequisite or came with prepar! material.
Regardless of the data output or the story behind it, this exercise can be us! to analyze the behaviors of your customers and adapt your onboarding process accordingly.
Step 5: Tackle influence of email onboarding
Within the product-l! growth sector, email is one of the most common tactics us! to drive the onboarding process. Along with product tools, email is central to most onboarding experiences. When it comes to measuring the success of campaigns, however, many companies fixate on traditional numbers like click-through-rate, open-rate, and more.
