What is a cross-visitation index?

Cross-visitation indexes are a crucial metric in out-of-home measurement, indicating how many visitors go to a specific location after being exposed to an out-of-home campaign. This data-driven analysis helps businesses assess the effectiveness of their advertising efforts, optimize marketing strategies, and allocate budgets efficiently. By understanding visitor behavior, companies can create more engaging and targeted campaigns, ultimately driving increased store visits and maximizing the impact of their out-of-home marketing initiatives.

How is cross-visitation used?

• Understanding Customer Behavior: Cross-visitation indexes provide businesses with a deep understanding of how consumers move between different locations after exposure to out-of-home campaigns. For instance, a retail chain might use these indexes to analyze how many customers visit their stores after seeing a billboard ad in specific locations.
• Optimizing Advertising Strategies: By analyzing cross-visitation data, businesses can optimize their advertising strategies. For instance, a restaurant chain running out-of-home campaigns near office complexes might use these indexes to determine which locations drive more customers during lunch hours. This insight helps in refining their ad placements for maximum impact.
• Targeted Marketing Campaigns: Understanding cross-visitation patterns allows businesses to create highly targeted marketing campaigns. An electronics store, for example, can analyze indexes to identify areas where customers frequently visit after attending tech-related events or expos. This information helps in tailoring promotions and product offerings for specific customer segments.
• Event Sponsorship Effectiveness: Companies sponsoring events can assess the impact of their sponsorship by tracking cross-visitation indexes. For instance, a sports equipment brand sponsoring a marathon can analyze how many participants visited their stores or online platforms after the event. This data helps in evaluating the ROI of the sponsorship and making informed decisions for future collaborations.
• Enhancing Customer Experience: Cross-visitation data aids in enhancing the overall customer experience. For example, a theme park analyzing visitor movement patterns after a promotional campaign can optimize ride queue management or food service locations based on the gathered insights. This optimization leads to a smoother and more enjoyable experience for visitors.
• Maximizing ROI: Ultimately, businesses can maximize their return on investment (ROI) by leveraging cross-visitation indexes. Understanding which out-of-home campaigns drive the most foot traffic allows companies to allocate their marketing budget effectively. For instance, a clothing retailer can focus their resources on campaigns that consistently lead to store visits, ensuring a higher ROI on their advertising spend.

In summary, cross-visitation indexes empower businesses to make data-driven decisions, optimize marketing efforts, enhance customer experiences, and ultimately maximize the impact of their out-of-home campaigns. By analyzing real-world customer behavior, companies can refine their strategies, improve engagement, and drive tangible results, all while ensuring a higher return on their marketing investments.

Analyze cross-visitation with Spotzi

Wondering where your visitors go after leaving your location? With cross-visitation, you can visualize and analyze this. This unique solution allows you to assess the effectiveness of billboards on store visits. To set up a cross-visitation dashboard, follow these steps:

Before creating a cross-visitation dashboard, add the following types of locations:

• The location you want to profile (the area where the billboard is located).
• The subsequent locations you want to measure (in this case, the coffee chain's outlets near the billboard).

Ensure these locations are loaded as polygons to enhance the quality of your cross-visitation analysis. Learn why this is important.

To create a cross-visitation dashboard, select the billboard's location and the period you want to analyze.

Select the dataset with subsequent locations and click REQUEST VISITOR PROFILE to create your cross-visitation dashboard. You'll receive an email when your dashboard is ready for use.