The Customer Journeys Dashboard is designed to help you understand and optimize your customer acquisition processes. By providing detailed insights into touchpoints, conversion times, and spending across different channels, the dashboard empowers you to make data-driven decisions to improve customer journeys and maximize return on investment (ROI).
Overview
ø Touchpoints to purchase: This metric shows the average number of touchpoints a customer interacts with before making a purchase.
ø Days to convert: This metric indicates the average number of days it takes for a customer to convert from their first interaction to a purchase.
Days to convert: A visual representation of the percentage of orders converted within different time frames (e.g., 1 day, 2 days, 3-7 days, etc.).
New & Returning User Separation
With the "New & Returning" feature you are now able to separate and analyze the behavior of new customers versus returning customers. This user selection feature significantly impacts the entire dashboard, allowing businesses to tailor their strategies based on customer segments.
User Selection in Top Bar
The top bar now includes a user selection dropdown that allows filtering data for all users, new users, returning users, or both new and returning users.
IHC table
The table categorizes customer interactions into three phases: Initiator, Holder, and Closer, showing their contribution percentages and counts. (read more)
Initiator = First Touchpoint of a customer journey
Holder = Touchpoint in between First and Last Touchpoint
Closer = Last Touchpoint of a customer journey
☝️ Recommendation for IHC table: It is recommended to view the Initiator-Holder-Closer (IHC) table exclusively with the new user segment, as it serves as an acquisition tool. This focus ensures the insights are more relevant to acquiring new customers.
Conversion Paths
A detailed table listing different conversion paths customers take, including metrics like orders, revenue, conversion rate, customer acquisition cost (CAC), percentage of customers, and new customer rate. (read more)
FAQ
Longer periods to convert for Returning Users?
Longer periods to convert for Returning Users?
Returning users could have longer days to convert compared to new customers.
Example: In the case of a supplement company, a returning customer might start their journey through retention marketing efforts, such as an email highlighting a new protein powder. The customer clicks on the email but postpones the purchase as they still have enough stock. Eventually, they make the purchase during a promotional discount, illustrating a longer conversion period.
