Xponent’s enhanced filtering capability supports deep journey exploration against a number of dimensions. These capabilities allow you to drill down by custom date ranges, channels, journey steps, and journeys to gain insights into specific patterns in behavior and usage rather than be hidden by noise. It can also highlight journey steps used in multiple journeys to help visualize the non-linear paths taken by your customers.
By default, the Journey Discovery Analytics Dashboard will display data from the last full quarter of the year. All of the filters can be combined to drill down to a very specific set of behavior. The filter affects all of the visualizations and the Dynamic Cards on the page.
The Week filter selects seven days from the starting date you have clicked. E.g., Clicking on the 11th of May 2020 would select the seven days of data from Monday 11th May 00:00:00 AM through Sunday 17th May Sunday to 11:59:59pm Saturday inclusive. Each day starts and ends at midnight UTC.
The example below shows a click anywhere in the month of June 2020 and will select from the 1st to the 30th of June 2020.
The Quarter filter is split up into four calendar quarters:
Q1: January, February, and March
Q2: April, May, and June
Q3: July, August, and September
Q4: October, November, and December
The default setting is for the last full quarter of the current year. For example, in September 2020, the selection will default to Q2 (April, May, and June) as that is the last complete quarter.
The Year filter allows you to select a whole year, including the current year, all the way back to 1970.
The Custom date range filter allows you to input specific months, dates, and years. If the input dates are not valid, then the “Apply” filter button will not be activated, and the date range text will remain as “Select Date Range”.
All date-related information is stored and calculated in UTC.
Filter by Channel
The Channel filter allows you to select profiles that have had an interaction in the selected channel. This will be combined with the other filters and will impact the Activities Over Time, Most Popular Channels, Channel Behavior Flow, and Interactions card on the Journey Discovery Analytics Dashboard and potentially the Total Profiles card as you are essentially filtering out interactions within a channel, and Profiles tied to an interaction.
By default, all channels are selected, and you can remove channel(s) as needed.
Filter by Journey Steps
The Journey Step filter allows you to select profiles that have had one or more journey steps. The Journey Steps filter allows you to remove noise from the right and left Sankeyson the Journey Discovery Analytics Dashboard and focus in on key sets of journey steps. By default, all journey steps that have been created within the Hub would be included in the filter drop-down and selected. You have the ability to search for specific journey steps to deselect as needed, and you can select journey steps that have no data recorded against it if so desired. Search functionality will only allow you to search within the drop-down list.
The Journey filter acts as a highlight to understand which journey steps are in which created journey map and highlight those in the Sankey. The information is pulled from your created Journey Maps, and it is possible to select a blank journey within the drop-down. Each journey will be represented by a color within the Sankey. There will be five distinct colors (green, purple, orange, teal, and red) to distinguish between journeys one to five. The sixth journey and above will repeat those same colors.
If there are journey steps in multiple journeys, then the step node will display the various color separations on the node itself; however, hovering over the step node within the Sankey will pull up a tooltip as an indication of which journey(s) this step is in as shown below.
The Rule for Filter Combination
Journey Discovery Analytics Dashboard follows the inclusion over exclusion rule when it comes to counting the Profiles. This means removing a journey step from the filter will not necessarily remove that profile if they have taken an interaction in a selected channel and vice versa. As an example:
Person A did an interaction in the Web Channel
Then Person A performed a journey step ABC
Client filters out Web channel but keeps Journey Step ABC in the Sankey view
Effectively removing Person A from the Web Channel
But Person A will still be included in the Profile card because the client is including Journey Step ABC in the filter setting
The filter criteria sequence will be prioritized as follows:
All Customers and Segments
Once the Time frame is chosen, all the related segments will be available accordingly.
Similarly, when either All Customers or specific segments is selected, the related channels will be available accordingly.
To fully remove a profile:
Remove all journey steps that the profile has taken
Remove all channels on which they have interacted
Choose a time period in which they have no journey step or interaction recorded
Visualizations that will be impacted when using filters