Daily Visits Counts Dataset
Get the brand visitation insights you need, when and where you need them.
What value can you gain from an understanding of foot traffic patterns? With these insights at your disposal, you deepen your knowledge of …
- Store-by-store trends
- How your visitation compares to your competitors
- Share within categories
Then, you can use that context to power better decision-making.
It’s all possible using Daily Visit Counts: delivering visitation data for individual locations belonging to over 3,000 brands across the United States.
And even more, you get full control and flexibility to build analytic insights using your own business intelligence (BI) tool, so you can tightly and seamlessly integrate visitation metrics into your business processes.
Benefits
Unlock deeper customer insights and better decision-making with the foot traffic data that matters most to your business. With Daily Visit Counts, you’ll uncover:
- Unlock deeper customer insights and better decision-making with the foot traffic data that matters most to your business. With Daily Visit Counts, you’ll uncover:
- Store-by-store trends.
- How your visitation stacks up to your competitors.
- Share within categories.
This dataset provides visit data for all brand locations, and enables you to derive even more value with the ability to:
- Build your own powerful applications using your in-house BI tools.
- Craft your own dashboard views to fulfill your business needs.
- All verticals, with ability to add new locations as add-on request.
Dataset Details & Features
The Daily Visit Counts dataset is delivered in four tables:
- Visit Count – The amount of visits seen per spatial_id.
- Category – A mapping of category_id to category description and type.
- Place – A mapping of place_ids to spatial_ids with various metadata about the place.
- Chain – A mapping of chain_id to chain_name and associated financial identifiers (ex: Stock Ticker).
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