Out-of-home advertising · Data science

Put every screen where the audience is. Then measure what it moved.

UUPMY selects OOH and DOOH locations by audience fit, verifies that campaigns ran as contracted, and measures store visits and sales lift with aggregated, region-level data — without tracking individuals.

$9.46BU.S. OOH ad revenue, 2025

36.3%Digital share of U.S. OOH

15+Years building OOH data systems

0Individual-level location tracking

Market figures: Out of Home Advertising Association of America (OAAA), reported March 2026.

Services

Four services across the life of a campaign.

Location and screen selection

Ranks OOH and DOOH locations by fit with the advertiser's target audience before a single dollar is committed.

Campaign verification

Confirms that ads ran where and when contracted, with monitoring reports from UUPMY's media-management system: location records, deployment logs, and electronic-tag and NFC check-in of installations.

Outcome measurement

Measures incremental store visits and sales lift using region-level counterfactuals and aggregated data, built for state privacy laws that restrict precise geolocation.

Budget allocation

Recommends how to divide a budget across networks and locations to maximize measured incremental outcomes.

Approach

Audience first, privacy by design.

PlanMatch building and screen features to community audiences and the advertiser's target customer.
VerifyCheck every installation and play log against the contracted schedule.
MeasureCompare exposed regions with matched control regions to isolate incremental visits.
OptimizeShift budget toward the networks and locations that produced measured lift.

Why aggregated data

California treats a consumer's precise geolocation as sensitive personal information (Cal. Civ. Code § 1798.140(ae)), and other states restrict its sale. UUPMY measures at the level of regions and buildings, so results hold up without device-level tracking.

Roadmap

Founded in California in October 2026.

2027 H1Adapt audience-to-location scoring and verification methods to U.S. data; privacy and data-security design; Plan and Verify modules v1.0; Technical Advisory Board formed.
2027 H2First pilot measurement programs with Southern California advertisers, agencies and DOOH networks; Measure and Optimize modules v1.0.
2028Commercial launch; first full-time engineers and data scientists; client dashboard; budget-allocation service.
2029Measurement subscription; second U.S. metropolitan market; independent data-security review; publication of methods and results.

Team

Li Lin

Chief Executive Officer and Chief Technology Officer

Technology Director at City-Media (Shanghai) since 2009, where he designed an elevator-advertising big-data precision-placement system linking building features, community audiences, campaign monitoring and post-campaign dealer-visit verification, deployed for FAW-Audi campaigns across six sales regions. Registrant of eight software copyrights in big-data and IoT systems; first author of two 2026 peer-reviewed conference papers on DOOH measurement and retail-media budget allocation; peer reviewer for IEEE Transactions on Intelligent Transportation Systems and other journals.

Nazar Doukhnevitch

Manager and Secretary

Administration and personnel.

Selected publications

Lin, L., Qu, M., Jiao, Y., & Yang, J. (2026). Measuring incremental store visits and allocating budgets for location-based digital out-of-home media under location data compliance constraints. AICSS 2026, Beijing.
Lin, L., Qu, M., Wang, Y., Yang, J., & Jiao, Y. (2026). A computational framework for metric calibration and budget reallocation of cross-platform retail media incremental effects. ICBTDS 2026, Nanjing.

Contact

Advertisers, agencies and DOOH networks interested in a pilot program are welcome to get in touch.

Company: UUPMY LLC
Address: 4848 Lakeview Avenue, Suite 201A
Yorba Linda, California 92886
Email: [email protected]