PlaceIQ Movement
Develop smarter marketing strategies and drive real-world consumer actions by using Precisely PlaceIQ proprietary visitation data to analyze consumer movement, on your own terms.
Get granular visitation data with Firehose Visits
What are your most pressing needs for visitation data?
Whether for enrichment appends and analytics or activation and measurement, you need by enabling daily delivery of visits data for places across the United States. And with the ability to tune visits by precision and volume, you have the control you need to tackle your unique use cases.
Firehose Visits is the available, delivering ID-level visitation data for all brands within the full PlaceIQ Movement – spanning retail, dining, auto, travel, financial services, and more.
Benefits
Observe
Observe trends and behaviors of shoppers who visit your locations – and your competitors’
Inform
Find geographical areas with high potential for expansion based on customer loyalty
Analyze
Predict quarterly sales by analyzing store foot traffic patterns and share-of-visit reports
Your way
Customize to fit your needs and resources – regardless of granularity and complexity
Time-stamped visitation for full PlaceIQ Movement taxonomy
Individual brand location where the visit took place
Designated market area, zip code, state, and time zone where the visit occurred
Metadata about the place visited
Conduct powerful analysis with aggregated visit datasets
PlaceIQ Movement provides two aggregated datasets that enable trending, profiling, and trade area analysis: Daily Visit Counts and Place Intelligence Metrics.
Daily Visit Counts
Easily ingest visit metrics with the daily visit counts for all brand locations within an entire vertical category.
Place Intelligence Metrics
Build on Daily Visit Counts with this dataset featuring cross-shopping insights, consumer attributes, and trade area details, in addition to trending analysis.
These datasets provide an efficient way for you to directly ingest metrics into your own business intelligence systems. Delivery volumes are significantly easier to manage than Firehose Visits, enabling premium analytic intelligence without processing granular data.
Datasets can also easily be integrated into your own systems to build dashboards and mesh visitation metrics within your business processes.
With complete control and flexibility within your own toolset, you’re able to build views of visitation intelligence to meet your needs.
Understand customers and prospects with Consumer Attributes
Better understanding fuels better results. With our Consumer Attributes dataset, you gain access to PlaceIQ Movement’s demographic, socioeconomic, and geographic attributes by consumer, including:
- demographic attributes
- socioeconomic attributes
- mobile device type
- 90 days of brand visitation
Pre-defined visitation metrics make it easy to connect visitation behaviors and understand who these customers might be.
Consumer Attributes customers can use these datasets to connect to other PlaceIQ Movement datasets or utilize the data for audience profiling and audience activation on third-party data management platforms (DMPs) and demand-side platforms (DSPs).
Boost intelligence with turn-key analytic dashboards
Join major brands that use our location dashboards to understand consumer movement, monitor competitors, and measure market performance.
Backed by PlaceIQ Movement’s Daily Visit Counts and Place Intelligence Metrics datasets, you can easily uncover valuable insights about your brand (and your competitors) through packaged foot traffic analytics.
Dashboard views include visitation trends by day and hour, consumer demographic profiles, cross-shopping behaviors, trade area analysis, and more.
Use cases include:
Audience Intelligence:
Elevate your marketing and business strategies by understanding your audience’s movement story
Competitive Intelligence:
Edge out competitors with a deep analysis of your share-of-visit performance – by DMA or audience type
Market Intelligence:
Stay ahead of market shifts by analyzing industry-specific gains and losses when it comes to store visitation patterns