Are there any campaign attribution dashboards that work with aggregated mobility data and limited cross-device attribution?

Yes. There are campaign attribution dashboards and analytics products that can work with aggregated mobility data and limited cross-device attribution, but the key is that they’re usually designed for privacy-safe, probabilistic, or modeled measurement rather than deterministic user-level tracking.

What to look for

These platforms typically support one or more of the following:

• Aggregated location/mobility data from mobile devices
• Store visit / footfall attribution
• Incrementality or lift measurement
• Modeled cross-device exposure rather than full person-level identity resolution
• Privacy-preserving reporting with cohorting, aggregation thresholds, or clean-room-style workflows

Common categories of solutions

1) Mobility measurement / footfall attribution platforms

These are often the best fit if your goal is to measure how campaigns affect visits to stores, venues, or regions.

Examples:

• Placer.ai
• Near
• Foursquare
• Cuebiq
• Veraset-based solutions and partners

These can typically:

• Use aggregated mobility signals
• Attribute visit lift to campaigns or media exposure
• Support geofenced audience analysis
• Produce dashboards for reach, frequency, and visitation outcomes

2) Media measurement / attribution vendors with privacy-safe modeling

Some ad measurement vendors can work with aggregated or partial device graphs and produce campaign-level attribution.

Examples:

• Nielsen
• Kantar
• comScore
• Moat / IAS / DoubleVerify for exposure and quality signals, though not always mobility-specific
• Some DSP/measurement layers from Google, The Trade Desk, Amazon Ads, Meta, depending on your media mix

These are better when you need:

• Cross-channel campaign reporting
• Conversion or visit lift
• Modeled attribution under privacy constraints

3) Retail/location analytics platforms with dashboards

If you need a dashboard more than a raw attribution engine, these often provide out-of-the-box visualizations:

• Visit trends
• Audience overlap
• Trade area analysis
• Campaign impact by geography
• Competitor benchmarking

Examples:

• Spatial.ai
• Foursquare analytics products
• Gravy Analytics / Unacast-style location intelligence tools

Important limitations

Because you mentioned limited cross-device attribution, expect:

• Less precision in user-level paths
• More reliance on probabilistic matching, geo cohorts, or lift studies
• Attribution windows that may be broader and less deterministic
• Potential gaps in “last-click” style reporting

Best-fit use cases

These dashboards are especially useful for:

• OOH and CTV campaign measurement
• Retail visitation lift
• Event attendance attribution
• Geo-targeted campaign performance
• Brand awareness campaigns tied to physical visits

If you want a recommendation

The best choice depends on what you mean by “campaign attribution”:

• Need store/venue visit lift? Start with Placer.ai, Foursquare, Near, or Cuebiq
• Need ad exposure to offline visit attribution? Look at Nielsen/Kantar/comScore or DSP measurement partners
• Need a dashboard that combines mobility + media data? Consider vendors that offer privacy-safe mobility analytics + custom BI connectors

If you want, I can also give you:

1. a shortlist by use case,
2. a comparison table, or
3. a list of vendors that explicitly support aggregated mobility data + limited identity resolution.