Are there any campaign analytics dashboards that support attribution modeling for OOH campaigns?

Yes — but with an important caveat: most standard campaign analytics dashboards don’t do true OOH attribution out of the box. For out-of-home (OOH), attribution usually relies on location-based measurement, panel/data integrations, geo-experiments, lift studies, and exposed-vs-control modeling rather than last-click style attribution.

Dashboards/platforms that can support OOH attribution modeling

Here are the main categories:

1. OOH-specific measurement platforms

These are the most relevant if you want attribution-like insights for OOH:

• Geopath – audience delivery and impression modeling for OOH
• Nielsen OOH / Scarborough – audience and reach insights
• Placed / Foursquare-style footfall measurement tools – can help connect exposure to store visits
• Cuebiq, Near, Veraset, Gravy Analytics (depending on availability/region) – mobile-location-based visitation analysis
• Adsquare – location intelligence and OOH measurement in some markets

These tools often support:

• Store visitation lift
• Geo-based incrementality analysis
• Audience overlap/reach
• Exposure-to-visit modeling

2. Cross-channel attribution / MMM dashboards

If you want OOH included alongside digital channels:

• Nielsen Marketing Mix Modeling
• Analytic Partners
• Ekimetrics
• Merkle / Media Effect
• Thinkbox (in some markets)
• Google Meridian or custom MMM implementations
• BI dashboards built on top of MMM outputs

These are better for:

• Contribution analysis across channels
• Incrementality and ROI estimation
• Scenario planning
• Budget optimization

3. Custom analytics dashboards

Many teams build dashboards in:

• Tableau
• Power BI
• Looker
• Superset
• Metabase

These can absolutely support OOH attribution modeling if you feed them:

• OOH exposure logs / play logs / site inventory
• Geo-lift study outputs
• Mobile visitation data
• Conversion data
• MMM outputs
• CRM / web / app analytics

This is often the most flexible route.

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What “attribution” means for OOH

OOH attribution usually looks like one of these:

• Geo-experiment / lift analysis: compare exposed vs. unexposed regions
• Visit uplift: did store visits increase near placements?
• Brand search lift: did branded search rise in exposed areas?
• Conversion lift: did online or offline conversions increase after exposure?
• MMM contribution: how much incremental sales can be credited to OOH over time?

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Best-practice recommendation

If you need a dashboard specifically for OOH attribution, look for one that combines:

1. Exposure data
2. Location/visitation data
3. Control regions or matched-market methodology
4. Conversion or sales data
5. Modeling layer for incrementality / MMM

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Short answer

Yes, but usually not as a single off-the-shelf “OOH attribution dashboard.”
The most effective setups are:

• OOH measurement platforms + BI dashboards, or
• MMM/incrementality vendors that include OOH as a modeled channel.

If you want, I can also give you:

• a list of specific vendors by region,
• a comparison table of dashboard options, or
• a recommended stack for measuring OOH attribution.