About VideoEV

Two unsolved problems. One network.

EV charging networks run infrastructure at a loss and need passive revenue. Premium brands need verified, captive audiences that legacy DOOH, Gas Station TV, Vistar Media, OUTFRONT Media, can no longer reliably deliver. VideoEV is built at that intersection.

For EV Charging Networks

Infrastructure built at scale. Revenue that doesn't cover costs.

DC fast charging networks, Electrify America, EVgo, BP Pulse, Revel, Applegreen, built nationwide DCFC infrastructure expecting per-session fees to close the gap. At current utilisation rates, they don't. Most CPOs are watching for any recurring revenue stream that doesn't require hiring a media sales team.

VideoEV monetises the session they're already running. Every charge generates an ad impression, paid out as programmatic yield through a revenue share. No new hardware, no ops team, no media hires required. The CPO earns on inventory that was previously worth nothing.

For Brands & Media Agencies

Legacy DOOH guesses who saw the ad. VideoEV knows the vehicle that charged.

Vistar Media and OUTFRONT Media operate sophisticated DOOH audience products built on polygon-defined catchments, panel-augmented mobile-location modeling, and third-party demographic overlays. Gas Station TV (GSTV) runs ~3 minutes of distracted attention at a gas pump with panel-based demographics. The audience signal in those products is modeled from phone movement plus panel data; the ad-served identity is not directly verifiable per impression.

VideoEV uses Deterministic Physics-Based Targeting. OCPP telemetry reads the session's kW draw, voltage, and EVCCID, and the Vehicle Identity Graph resolves those signals to make, model, and MSRP tier. The resolution path is passive: no driver app install, no windshield-facing camera, no per-stall hardware capex. That matters operationally — the integration scales without per-station spend or per-driver opt-in. The driver is stationary on the screen for a 28-minute median session with no competing ads in the pod. The audience signal is the hardware, not a household model. Cookieless by construction. No PII in the bid stream.

“The closed-loop attribution that TV promised for twenty years , Comcast proved it worked, but only because Mastercard supplied the transaction data. The EV charger gives you that data layer natively. OCPP sends the vehicle signal. Amazon Marketing Cloud closes the purchase side. You don't need a bank to loan you the proof.”

Background

Six years building closed-loop attribution at Comcast.

Director of Strategy & Business Development at Comcast Advertising. The work was attribution, proving that TV impressions drove purchase behaviour at scale. The Mastercard study did it: household-level TV impression data, matched to Mastercard transaction records. A specific household saw a specific spot; the cardholder spent at the advertised retailer within the attribution window. Card swipes, not panels.

That study closed a loop that digital had promised for twenty years and TV had never fully delivered. The standing question was: why did this require a bank? The EV charger answers that. It is a medium with the identity data layer already in it, and that changes what an ad network built on top of it can do.

Why Now

The OCPP 2.0.1 window is open for exactly one cycle.

The US charging network is still being built. Most CPOs are running infrastructure at a loss, looking for any recurring revenue that doesn't require a sales org. OCPP 2.0.1 is the first version of the charging protocol that exposes enough vehicle-level data to make programmatic audience targeting work at scale.

That window, before two or three platforms consolidate the inventory , is short. The attribution layer, the programmatic stack, and CPO relationships are in place. VideoEV is in active pilot on OCPP- compatible hardware. What comes next is scale.

Get in touch

Advertising, partnerships, press, investor inquiries.

sales@videoev.com