Understand visitor behavior with loyalty data

Civic | Use loyalty metrics to evaluate the right businesses and measure the number of loyal customers

Understand visitor behavior with loyalty data

Civic | Use loyalty metrics to evaluate the right businesses and measure the number of loyal customers
In This Article

Loyalty metrics can be used to better understand visitor habits and preferences, evaluate the health of businesses, and help market the merits of specific neighborhoods. Analyze visit frequency to see how many times people visit a district, neighborhood, or specific public places such as parks, hubs, and tourist centers.

You’ll be able to answer these questions after reading this article:

  1. How can you use traffic metrics to compare locations’ visit frequency?
  2. How can you differentiate between loyal and casual visitors?
  3. How can you see how many unique visitors visited a location?

Get started with the following steps:

Step 1: Review Placer Traffic Metrics to compare visit frequency

Open the Property report page for your POIsPoints (Locations) of Interest. (add multiple locations by clicking on the plus icon and clicking Go) and choose your preferred time period. By comparing Visit FrequencyThe number of total visits by unique visitors. (Metrics), you can see that these 2 attractions in nearby markets have different metrics.

Learn about Foot traffic Metrics

Step 2: Review Loyalty data for specific POIs

a. From the Property report page, navigate to the Loyalty section in the left sidebar. 

b. Here, you can view the breakdown between loyal and casual visitors. You determine what a loyal visitor is by setting the minimum number of visits each visitor has to make in your chosen time period to your location to be considered loyal. For example, if you set your minimum number of visits to be 4, the visitors who have visited your location 4 or more times will be counted as loyal visitors. All other visitors will be counted as casual visitors. You can view the data with different filters and easily switch between the Loyal and Loyal vs. Casual visualizations by using the Hide Casual toggle.

c. In the second section, Visits Frequency, each bin in the chart shows the estimated number of unique visitors that visited a POI a certain number of times during your chosen time period.

Learn about Loyalty
Case Study

City boosts retailer impact fee by 30% using customer loyalty and traffic data

The Challenge

A first in its category retailer was opening in a western city, and was set to build a 50k square foot location. How could the city model the correct amount of new vs. returning customers, and the distance traveled by this retailer's customers to determine the correct impact fee?

The Outcome

Using Placer, the city analyzed multiple locations for the retailer in other markets, including new and stabilized stores, and determined that much of the customer traffic to this retailer came from within 5 miles of its store as part of weekly convenience shopping, and that loyalty was consistent over the years. With this data in hand, they adjusted their model and charged an impact fee that was 30% more than what would have been modeled originally.

Case Study

City boosts retailer impact fee by 30% using customer loyalty and traffic data

The Challenge

A first in its category retailer was opening in a western city, and was set to build a 50k square foot location. How could the city model the correct amount of new vs. returning customers, and the distance traveled by this retailer's customers to determine the correct impact fee?

The Outcome

Using Placer, the city analyzed multiple locations for the retailer in other markets, including new and stabilized stores, and determined that much of the customer traffic to this retailer came from within 5 miles of its store as part of weekly convenience shopping, and that loyalty was consistent over the years. With this data in hand, they adjusted their model and charged an impact fee that was 30% more than what would have been modeled originally.

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