Firehose Visits Dataset
Better understand real-world behaviors with the ability to enrich your first-party data with real-world attributes. Then, build audience profiles around these attributes and activate digital campaigns for each audience segment.
Get the details you need for decision-making with ID-level data spanning retail, dining, auto, travel, financial services, and more.
With Firehose Visits, you gain access to visitation data for all brands within the Precisely PlaceIQ full taxonomy. That gives you the ability to:
- Get stronger insights fueled by a better understanding of your customers’ real-world behaviors – especially when you enrich your first-party data with attributes from this visitation data.
- Achieve your top marketing objectives with audience activation, using the insights received to construct tailored audience segments that help you succeed.
Benefits
Better understanding of your customers produces better results – and you get it all with Firehose Visits. With this dataset, you:
- Gain stronger insights into your customers’ real-world behaviors, especially when you enrich your first-party data with attributes from this visitation data.
- Achieve your top marketing objectives with audience activation – using the insights received to construct tailored audience segments that help you succeed.
Dataset Details & Features
Firehose Visits delivers visitation data for all brands within Precisely PlaceIQ’s full taxonomy, spanning retail, dining, auto, travel, financial services, and more. Highlights of what you’ll find include:
- Time-stamped visitation for Precisely PlaceIQ’s full taxonomy.
- Individual brand location where the visit took place.
- Designated market area (DMA), zip code, state, and time zone where the visit occurred.
- Metadata about the place visited.
Firehose Visits is delivered in six tables
- Visit – Visitation records to individual spatial_ids with various scores and metadata.
- 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).
- Category – A mapping of category_id to category description and type.
- DMA (Designated Market Area) – A mapping of dma_codes to dma_names.
- Source – A mapping of PlaceIQ Movement_source_keys to types of movement data (i.e. Foreground, Background, Mixed).
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