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AI OOH Impact Survey
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1.
What best describes your organization?
(Required.)
Media Owner
OOH Specialist
Agency
Advertiser/Brand/Marketer
Adtech / Martech Platform
Other (please specify)
2.
Which of the following best describes your current job level?
Owner/Executive/C-Level
Senior Management
Director level (Business Director, Sales Director, Account Director etc)
Mid level (Account Manager, Investment Manager etc)
Entry level (Assistant, Account Executive, Sales Executive etc)
3.
To what extent does your organization currently rely on Artificial Intelligence (AI) for audience targeting, site selection, and campaign planning/optimization in OOH media?
0 - Not at all (No current use)
1 - Limited (Small-scale testing or in a single department)
2 - Moderate (Used regularly for specific tasks, e.g., audience segmentation)
3 - Significant (Integrated into core workflow and decision-making for most campaigns)
4 - Essential (Mission-critical; primary driver of current optimizations/workflows etc)
4.
In the next 12 months, which area of OOH media activation and management do you believe AI will have the greatest impact on increasing operational efficiency?
A. Programmatic DOOH (pDOOH) Buying/Bidding optimization
B. Real-time Dynamic Content/Triggers (e.g., weather, time, event-based creative swaps)
C. Proof-of-Posting/Verification and Compliance
D. Inventory/Supply Chain Management
E. Measurement and Attribution (linking OOH to digital outcomes)
5.
How soon do you expect Generative AI (e.g., image/video tools) to significantly reduce the time and cost of OOH campaign creative production and iteration (including copy, imagery, and dynamic creative assets)?
A. It is already happening today
B. Within the next 6 months
C. 7-12 months
D. 1-2 years
E. Longer than 2 years / Never significantly
6.
What is the single biggest impediment to the wider adoption and scaling of AI technologies within your organization's OOH operations today?
A. Lack of necessary, high-quality data (e.g., audience, location, or outcome data)
B. High cost or complexity of integration with legacy systems
C. Lack of internal talent/expertise to manage and deploy AI tools
D. Legal, Privacy, or Ethical concerns (e.g., data use, algorithmic bias)
E. Lack of clear ROI or proven case studies
7.
Over the next 3 years, how do you expect your organization's financial investment in Artificial Intelligence technologies specifically for OOH to change?
A. Significantly Decrease (by >25%)
B. Slightly Decrease (by 1-25%)
C. Stay the Same
D. Slightly Increase (by 1-25%)
E. Significantly Increase (by >25%)