These attributes are statistical metrics computed for each Contact that describe the customer's behaviors based on the history of his/her visits and interactions with the locations.
These metrics synthesize the most relevant behaviors into simple-to-use attributes so that you don't have to process all the raw event data every time. In this way, attributes can be used to easily filter and identify target segments and audiences.
List of on-site visitation metrics
Here is the list of attributes available for each Contact Profile
| Attribute | Description |
| Total Visits |
the total number of days the customer has done a Visit since the First Seen date. Multiple visits on the same day are counted one once in this metric |
| Last Visit Date | date of the last Visit |
| Visited Locations |
the total number of locations visited by the customer since the First Seen date. |
| Last Visit Location | Location visited most recently |
| Most Visited Location | The location that the customer has visited more frequently |
| Visits to Favorite Location | Total number of visits to the most visited location |
| Avg. Visit Duration |
The average duration of all the Visits the customer has done in the last 6 months |
| Attraction Rate: |
This metric is a percentage measured as the number of days the customer has done a visit in the last 6 months divided by the number of days the customer has been seen (passerby or visit event) in the same period. |
| Avg. Monthly Visits | This metric measures the average number of visits in a 30 days period, evaluated as an average on the last 6 months. For example, if the customer has done 6 visits in the last 6 months, this metric would count an average of one visit every 30 days |
| Avg. Days Between Visits |
this metric measured the average number of days between adjacent visits in the last 6 months |
| Time of Day Preference |
This metric reports the time of the day the customer usually visits the store. If there is not enough data to identify a preference the metric value is null. Possible values are:
|
| Hour of Day Preference |
This metric reports the hour of the day the customer usually visits the store. The hour of the day is represented with a number from 0 to 23. |
| Day of Week Preference | This metric reports the day of the week the customer usually visits the store. If there is not enough data to identify a preference the metric value is null. |
| Frequency Buckets |
This metric reports how frequently on average the customer visits a location of the organization. Possible values are: Daily, Weekly, Bi-weekly, Monthly, Seasonal, Yearly, Occasional |
How can I use them?
The on-site behavioral attributes can be visualized for each customer on his Contact Profile page. They are also part of the Contact Profile attributes in the CSV export and on the API endpoints.
You can also use the behavioral attributes as filters in the Segment Builder.
When are they available?
The behavioral attributes are computed and refreshed daily. For this reason, it is possible that the metrics you see on the Contact Profiles page do not reflect the exact status of the customer interactions.
Please note that some of the metrics are computed considering a sliding observation window of 6 months (customizable on each account) of the customer interactions. If the last interaction is older than the observation window, the metrics might be zero or null.