Digital Out-of-home (OOH) Data: Examples & Datasets to Buy
On This Page:
- Overview
- Datasets
- Attributes
- Guide
- FAQ
On This Page:
- Overview
- Datasets
- Attributes
- Guide
- FAQ
What is Digital Out-of-home (OOH) Data?
Digital Out-of-home (OOH) data captures metrics related to advertising in physical spaces using digital screens. This includes insights into audience movements, geolocation patterns, and ad engagement to ensure advertisements reach the right people at the right time.
This data combines elements like real-time bidding metrics for ad placements, location-based audience data for targeted messaging, and POI analysis for strategic advertising near high-traffic locations. Digital OOH datasets are often compatible with programmatic advertising platforms, enabling dynamic campaign adjustments.
What Are Examples of Digital Out-of-home (OOH) Data?
Digital OOH data plays a key role in refining advertising strategies and ensuring ROI. Key examples include:
- Foot Traffic Data: Movement patterns around specific OOH advertising points.
- Ad Placement Metrics: Insights into ad positioning and visibility across different formats.
- Real-Time Bidding Data: Metrics on competitive bidding for digital OOH ad placements.
- Location Data: Location and POI data identifying high-traffic areas for optimal ad placement.
- Audience Data: Demographics and behavioral insights of people near ad locations.
Best Digital Out-of-home (OOH) Databases & Datasets
The best digital OOH datasets provide actionable insights into audience movements, location intelligence, and advertising metrics. This curated list features datasets tailored for advertisers, selected for quality, accuracy, and trusted providers where you can buy digital OOH data.
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Main Attributes of Digital Out-of-home (OOH) Data
Digital OOH data might incluse attributes like:
- Geospatial Data: Location-based data such as latitude, longitude, and nearby landmarks to identify high-traffic areas.
- Device Data: Mobile device information linked to individuals within the vicinity of the advertisement.
- Weather Data: Local weather conditions that can influence the effectiveness of certain ads (e.g., sunscreen ads during sunny weather).
- Time of Day: Insights into the best times to display ads based on audience activity and traffic patterns.
- Ad Performance Metrics: Information on impressions, clicks, and conversions generated by digital OOH campaigns.
| Attribute | Type | Description | Action |
|---|---|---|---|
| String | The identifier (ID) of an area. | View 1 datasets | |
| String | The identifier (ID) of a location. | View 1 datasets | |
| String | Mobile Ad ID is a sequence of random symbols, given by the mobile device’s operating system. It’s shared with the servers of the apps that the user is using to track his customer journey and “remember” his or her choices. | View 1 datasets |
Why Is Digital Out-of-home (OOH) Data Important?
Digital OOH data empowers advertisers to optimize campaigns and achieve maximum ROI by targeting specific audiences at the right time and place.
How to Target Your Audience
Dayparting
Adjusting your advertising schedule to target specific times of the day ensures your campaigns reach audiences when they are most active or receptive. For instance, ads for coffee shops in the morning or dining deals during lunch hours maximize relevance and engagement. Dayparting enables advertisers to align their messaging with the natural rhythms of their audience, increasing the likelihood of interaction.
Geotargeting
Geotargeting uses location data to focus campaigns on specific areas, such as neighborhoods, city centers, or transit hubs. This localized approach allows advertisers to tailor messages to the unique preferences and needs of the target audience in that area. Whether promoting local events, nearby stores, or region-specific offers, geotargeting ensures that ads resonate with the people most likely to act on them.
POI Targeting
Point of Interest (POI) targeting places advertisements near high-traffic landmarks, such as malls, theaters, or sports arenas. By positioning ads in locations with high audience relevance, advertisers can capture attention and influence consumer behavior. For example, an ad for athletic shoes displayed near a sports complex or a new restaurant advertised near a busy shopping district maximizes the opportunity for engagement and conversions.
Frequently Asked Questions
Where Can I Buy Digital Out-of-home (OOH) Data?
You can explore our data marketplace to find a variety of Digital Out-of-home (OOH) Data tailored to different use cases. Our verified providers offer a range of solutions, and you can contact them directly to discuss your specific needs.
How is the Quality of Digital Out-of-home (OOH) Data Maintained?
The quality of Digital Out-of-home (OOH) Data is ensured through rigorous validation processes, such as cross-referencing with reliable sources, monitoring accuracy rates, and filtering out inconsistencies. High-quality datasets often report match rates, regular updates, and adherence to industry standards.
How Frequently is Digital Out-of-home (OOH) Data Updated?
The update frequency for Digital Out-of-home (OOH) Data varies by provider and dataset. Some datasets are refreshed daily or weekly, while others update less frequently. When evaluating options, ensure you select a dataset with a frequency that suits your specific use case.
Is Digital Out-of-home (OOH) Data Secure?
The security of Digital Out-of-home (OOH) Data is prioritized through compliance with industry standards, including encryption, anonymization, and secure delivery methods like SFTP and APIs. At Datarade, we enforce strict policies, requiring all our providers to adhere to regulations such as GDPR, CCPA, and other relevant data protection standards.
How is Digital Out-of-home (OOH) Data Delivered?
Digital Out-of-home (OOH) Data can be delivered in formats such as CSV, JSON, XML, or via APIs, enabling seamless integration into your systems. Delivery frequencies range from real-time updates to scheduled intervals (daily, weekly, monthly, or on-demand). Choose datasets that align with your preferred delivery method and system compatibility for Digital Out-of-home (OOH) Data.
How Much Does Digital Out-of-home (OOH) Data Cost?
The cost of Digital Out-of-home (OOH) Data depends on factors like the datasets size, scope, update frequency, and customization level. Pricing models may include one-off purchases, monthly or yearly subscriptions, or usage-based fees. Many providers offer free samples, allowing you to evaluate the suitability of Digital Out-of-home (OOH) Data for your needs.
