Besides having access to advanced store locator functions such as multi-faceted filters, template customization, CSV import/export, etc. users of Pro Map Store Locator also have the ability to view and analyze, valuable a website data, known as analytics, of their store locator page.
What is Analytic Data and what is it used for?
Analytics are automatically recorded data that can provide you with information on how and where customers are interacting with your map. For example, the data can be used to answer many behavior-related questions such as:
Which stores are my visitors searching for most often?
What is the most clicked phone, email, or website link?
Where are my customers searching from?
What Filters are used and clicked on?
By using this data you determine and identify patterns in how your visitors to your website are behaving. Moreover, using this knowledge you can optimize your website further so as to get more desirable results from visitors. In addition, you can even plan for a customized marketing strategy that is specifically modeled using analytic data, and this will make the marketing strategy yield more results.
Using the Built in Data Export Feature you can easily share with your other marketing software and build powerful actions to automate sales and store activities.
How to View Analytics on Your Store Locator
To be able to view the store locator analytics, please follow the below steps:
Go to “RP-Promap App” on your Shopify store and , navigate to the “Analytics” menu option view the store locator analytics
Analytics Feature of RP-Promap Store Locator
Extensive Heatmap of Active Stores and Customer Locations
The information collected is displayed on a chart that shows analytic data recorded per day. In addition, you can even review the data for a particular month or range of months by using the drop-down menu.
The details below display the following information:
Most viewed stores
Most used filters
Store Engagement
This feature in Store Locator gathers information from website visitors. such as what they have searched for, the number of searches made per day, and what stores are clicked by visitors to your website.
