The Operating System for Vehicle Media.

The first self-serve Vehicle Media Network — brands buy impressions by vehicle segment, CPOs earn passive yield on every charging session.

248k
Monthly unique vehicles
30 min
Avg session length
$65k+
Avg vehicle MSRP
$18–$34
CPM
3
Ad surfaces

The Medium

EV charging is a 30-minute media window with no competition

While the vehicle charges, the driver has nothing to do and nowhere to go. VideoEV is the ad inventory that runs during those 30 minutes — one screen, one session, one advertiser at a time.

01

Captive, distraction-free

Drivers are stationary and screen-ready for 15–45 minutes. No scroll-past, no tab-away. The content is the context.

02

Income-skewed by the vehicle itself

EV ownership correlates tightly with high income. The vehicle is the qualifying signal — no cookie required.

03

Real-world intent data

Where someone charges — airport, luxury retailer, hotel — reveals more about them than a browser history ever could.

04

A compounding audience

EV adoption is accelerating. Early EV owners are disproportionately influential buyers across every luxury category.

Traditional OOH
Gas Station TV
VideoEV (VMN)
Dwell Time
< 10 Sec
4 Mins
20–40 Mins
Data Source
Estimated
Basic
OCPP Identity Resolution
Measurement
None
Foot traffic
Amazon Purchase Data
Yield Model
Static
Low Margin
Programmatic High-CPM

Session Anatomy

Every session begins and ends at the screen

Drivers must authenticate, pay, and confirm to start — then return to unplug and close. These required steps bookend every 30-minute window with guaranteed, high-attention impressions no other format can replicate.

~2 min26 min avg~2 min

Captive · Start

Session start

  1. 1Authenticate
  2. 2Select charge level
  3. 3Confirm & pay
  4. 4Charge starts

Media Window

One advertiser.
Full screen.
No competition.

Video and brand content plays continuously as the vehicle charges — personalized to the driver by make, location, and behavioral signals.

Captive · End

Session end

  1. 1Stop session
  2. 2Unplug vehicle
  3. 3Confirm completion
  4. 4Receipt sent
6+
Mandatory screen interactions per session
Guaranteed captive impression windows
26 min
Uninterrupted content window on average
0
Skip rate — the screen completes the transaction

The Audience

They spent $65k to get here. They're not going anywhere for 30 minutes.

The average EV driver has a household income above $150k and just made a $65k purchase decision. The vehicle is the qualification signal. The charging session is the window.

Session-resolved vehicle identity
Make, model, year — OCPP-matched, not self-reported
MSRP-derived income proxy
No credit data — inferred from purchase price
Live charging telemetry
Session frequency, station type, duration
Station environment
Airport, hotel, retail, residential
Household modelling
Family size, property signals
Vehicle audience snapshot248,000 monthly vehicles
Tesla
Premium
Tech early adopter · High income
$43k–$110k
Porsche
Ultra-luxury
Performance buyer · Net worth $3M+
$80k–$330k
BMW
Premium
Executive · Dual income household
$50k–$120k
Rivian
Adventure
Outdoor · Active lifestyle · High HHI
$70k–$100k
Lucid
Ultra-luxury
Ultra HNW · Luxury goods buyer
$70k–$250k
Volvo
Aspirational
Safety-conscious · Family income $150k+
$55k–$80k
+ 44 more vehicle makes trackedSession-resolved ✓

How It Works

From brief to attribution in three steps

01

Build your audience

Use the VideoEV Audience Builder to target by vehicle make and model, MSRP tier, charging behaviour, station type, and location. Session-resolved identity — OCPP identifiers matched to vehicle profiles through our Vehicle Identity Graph.

248k session-resolved vehicle profiles
02

Serve across three screens

Creative runs simultaneously on the kiosk (16:9, seen at 2m), the driver's mobile app (in-app native), and in-car display tablets. Each format is served within the active charging session.

Kiosk · Mobile · In-car
03

Measure real outcomes

Track post-charge app installs, web visits, store footfall, and matched purchase signals — all in the real-time reporting dashboard.

Real-time attribution

Data Products

Three layers that turn a charging session into addressable media

Each product works standalone. Combined, they form a closed-loop data stack — from identity resolution through clean-room matching to real-time audience intelligence — built entirely on OCPP charging signals.

Hybrid Identity Resolution84% confidence
OCPP Session
RFID hash · EVCCID
deterministic
Geofence Ping
Mobile Ad ID
probabilistic
800V Profile
Charge curve
deterministic
Clean Room
LiveRamp
+ Experian
VideoEV Unified Profile
2024 Porsche Taycan
trim unconfirmed
Confidence84%
Est. HHI$180k+
Deterministic
Probabilistic
No PII leaves clean room
01

Vehicle Identity Graph

The identity layer.

Persistent, privacy-safe vehicle profiles built from OCPP 2.0.1 charging session data. Resolves hardware-level session identifiers to vehicle make, model, year, battery capacity, and charge behaviour — no cookies, no device IDs.

OCPP 2.0.1 session resolution — deterministic, hardware-derived
Make · Model · Year · MSRP tier · Battery spec
Dwell time, charge frequency, home vs. away pattern
Location cluster modelling from multi-session history
Clean Room MatchingSecure environment
Brand Data In
CRM list
CDP segment
Pixel audience
Match
Isolated
Outputs
Matched reach8,240
Overlap %34%
Suppression list
Activates via:AWS S3SnowflakeAMC
02

Data Clean Room

Secure first-party matching.

Brands bring CRM and CDP data. VideoEV provides the Vehicle Identity Graph as the identity spine. Matching runs in an isolated environment — raw records never leave. Outputs include matched reach estimates, overlap analysis, suppression lists, and lookalike seeds.

CRM / CDP onboarding — raw data stays inside the room
Matched reach · audience overlap · suppression lists
Lookalike seed generation from matched segments
Direct activation via AWS S3, Snowflake, and Amazon MC
Vehicle Intelligence FeedLive
Make / Model / Year2024 Porsche Taycan 4S
Battery capacity93.4 kWh
Charge frequency4.2× / month
Avg dwell time28 min
Home vs. away32% home
Updated every session248k vehicles tracked
03

Vehicle Intelligence

Real-time EV audience signals.

Live and historical insights on EV drivers at the exact moment of charge. Powers contextual creative decisions and granular audience segmentation — updated every session, not every quarter.

Make / model / year · battery capacity · charge frequency
Dwell time · station type · home vs. away charge behaviour
Location pattern clustering by station category
Session-frequency segmentation: light / regular / power user
Available as a full data stack or individual modules
Activate through our managed service or integrate directly via API. Clean room access available for enterprise data partnerships.
Explore live dashboard

Work with VideoEV

One network. Three ways in.

01
Brands & Agencies

Reach EV drivers that buy

Build targeted campaigns against session-resolved vehicle data. Set your CPM, choose your surfaces, and track every outcome in real time. Minimum buys start at $5k.

  • Session-resolved audience targeting
  • Creative across kiosk, mobile & in-car
  • Real-time attribution dashboard
  • Brand safety — 100% contextual

We respond within one business day

02
Charge Point Operators

Turn infrastructure into income

Add VideoEV screens to your stations. We handle the ad operations — revenue share deposits monthly, no upfront investment required.

  • White-label kiosk & app UI
  • Revenue share model — zero upfront
  • Works with existing OCPP hardware
  • Full ad operations handled for you

Currently expanding with US networks

03
Retailers & Venues

Drive affluent shoppers in-store

EV drivers spend 30% more on discretionary categories than the average consumer. Place ads at nearby chargers and measure foot traffic back to your location.

  • Geo-targeted by store proximity
  • Audience: $150k+ household income
  • Foot-traffic attribution included
  • Curb-to-counter measurement

We respond within one business day