What is Axon Vibe?
Axon Vibe is a real-time commuter intelligence platform that lets retail brands, event promoters and agencies target anonymised audience segments derived from public transit usage in London and New York City.
How does Axon Vibe collect commuter data?
Preference data is collected from the Axon Vibe consumer app where users voluntarily declare interests, tags and demographics. Commute corridors are inferred from anonymised transit-app usage patterns across MTA, TfL, Deutsche Bahn and six partner operators, never from individual GPS tracking.
Which cities does Axon Vibe cover?
Axon Vibe currently covers London (TfL bus and tube networks) and New York City (MTA subway and bus), with European expansion via Deutsche Bahn and six additional transit operators in active rollout.
Who is Axon Vibe for?
Retail brands targeting footfall, event promoters filling venues, tourism boards driving visits, and media agencies running multi-client commuter campaigns.
Reach the right commuter at the right moment
Drive measurable footfall to your London and NYC stores. Reach 1.6M+ commuters in real time, filtered by interests, demographics, commute corridor, location radius, time, and weather.
3.4× incremental store visits vs. geo-fenced display
Who We Are
Built by the team behind Google Maps
Patented next-trip prediction technology, originally built for public-transport operators across 4 continents, now powering anonymised commuter intelligence for retail, events and agency clients in London and NYC.
Experience at the cutting edge
Our founders were leading developers behind Google Maps. The technology we built 30+ years ago is still used by Google today.
Making complexity simple
AI and machine learning to understand human behaviour through travel movements, translated into simple, actionable insights for marketers.
Right reward, right place, right time
Advanced technology + behaviour-driven insights = accurately mapped movement and behaviour. We turn commuter patterns into marketing gold.
The Problem
67% of location-based impressions are wasted
Traditional out-of-home and location marketing sprays messages at everyone passing by, regardless of whether they're interested, available, or even the right demographic.
The result? Massive budget waste, irrelevant impressions, and zero insight into who actually saw your message.
of impressions reach commuters who cannot act on them
higher cost per conversion vs. contextual targeting
average window when commuters are receptive to offers
• Billboard spray-and-pray
• No demographic filtering
• No time-of-day context
• Zero feedback loop
• Guesswork reporting
• Interest + demographic + behaviour filters
• Commute pattern intelligence
• Weather and time-of-day context
• Anonymised monthly snapshots
• Real audience counts, not estimates
How It Works
Three steps to your ideal audience
Build hyper-specific commuter segments in minutes, not weeks.
Define Your Audience
Choose from 10 interest categories with 96 granular tags. Add demographic filters, age, job level, industry. Select commute patterns that match your target customer.
Set Contextual Triggers
Drop up to 5 target locations with custom radius. Layer on day-of-week, time-of-day, and weather conditions. Every filter narrows to qualified commuters only.
Reach the Right Moment
Your campaign reaches matched commuters exactly when they are in transit and receptive. See real audience counts and campaign performance, all from anonymised, aggregated data.
The Data Engine
Serendipity moments build complete profiles
Our commuter app is embedded in daily bus and transit apps across the UK. While users check their next departure, they discover personalised events, restaurants, and experiences, and naturally build rich preference profiles.
Each interaction, a thumbs up, a bookmark, a tag vote, deepens their profile with interests, demographics, industry, job level, and location data. All completely opt-in.
Commuters check bus times
Serendipity: personalised moments appear
Users engage: like, save, vote on tags
Rich profiles build organically
100% opt-in. Users choose their interests, tags, age, industry, and job level. No dark patterns. No tracking without consent.
The Dashboard
Precision targeting at your fingertips
Filter, visualise, and activate audience segments with an intuitive desktop dashboard.
Define audience
Interests, demographics, location
Create event
Name, category, date & time
Published to app
Appears in commuters' feed
Event Publishing
Create events that reach the right commuters
Publish events directly from the targeting dashboard. Events are automatically matched to relevant audience segments and appear in the commuter app's "Your Moments" feed, reaching people who actually care.
Publish events directly from the targeting dashboard
Events appear in commuters' personalised feed
Automatic venue and location from your target zones
Category-based matching to relevant audience segments
Real-time audience count before you publish
Audience Intelligence
10 research-backed commute patterns
Derived from UK ONS, TfL, and Mobilityways data. Target commuters by when they move, how they live, and how they work.
When They Move
Midweek Peak
Tue–Thu, 8–10am & 5–7pm
The dominant hybrid pattern. Tuesday to Thursday is 25–30% busier than Monday or Friday.
Spread Rush
Mon–Fri, 11am–2pm & 6–9pm
Post-pandemic shift. The evening peak now exceeds the morning. Lunch economy thriving.
Early Bird
Mon–Fri, 5–7am
NHS, construction, shift workers moving before the main rush hour begins.
Night Owl
Thu–Sat, 9pm–2am
Night Tube users, hospitality workers, evening economy participants.
How They Live
Weekend Explorer
Sat–Sun, 10am–6pm
Leisure travel. Saturdays are now busier than Mondays on London rail.
School Run Parent
Mon–Fri term, 8–9am & 3–4pm
25% of morning peak car trips are school runs. Short radius, local routes.
Campus Commuter
Mon–Fri term, 8am–6pm
Students and university staff with seasonal gaps. Budget-conscious, tech-savvy.
How They Work
Full-Time Commuter
Mon–Fri, 8–10am & 5–7pm
Still 22% of UK workforce. Retail, healthcare, trades, public sector.
Part-Time / Flex
2–3 days/week, variable
Freelancers, gig workers. Average 1.6 days/week working from home.
Long-Distance
Mon–Thu, radius >30km
Inter-city rail commuters. Often senior roles. Station retail, premium services.
Targeting Dimensions
Every dimension you need
Combine interest, demographic, temporal, and contextual filters to build laser-precise audience segments.
Interests & Tags
10 categories, 96 granular tags. Music, arts, sports, food, wellness, film, family, outdoors, community, business.
Demographics
Age range (16–75), 6 seniority levels from Student to Executive, 20 LinkedIn-aligned industries.
Commute Patterns
10 research-backed presets. Target by when they move, how they live, and how they work.
Location Targeting
Up to 5 locations with custom radius (1–20km). Address search or drop pin on map.
Day & Time
Target by day of week and time of day. Morning, afternoon, evening, or night windows.
Weather Context
Layer weather conditions as targeting triggers. Clear, cloudy, rain, snow, or storm.
Use Cases
Built for every industry
See how leading brands use commuter intelligence to drive results.
Events & Conferences
Drive registrations for a healthcare tech conference
Target Management+ professionals interested in Business & Tech and Health & Wellness, commuting through Canary Wharf and London Bridge on midweek evenings. Reach 300+ qualified attendees per campaign.
Restaurants & Hospitality
Fill tables during off-peak hours
Target Food & Drink enthusiasts with Fine Dining and Brunch tags, within 2km of your restaurant, during the Spread Rush lunch window (11am–2pm). Weather trigger: activate rain-day specials.
Fitness & Wellness
Acquire members near new studio locations
Target Sports & Fitness and Wellness enthusiasts aged 22–45, within 3km of your new gym. Focus on Early Bird and Full-Time Commuter patterns for pre-work and post-work classes.
Retail, London Flagship & High-Street
Drive footfall to Oxford Street & Westfield on rainy Thursdays
Target Fashion, Beauty, and Lifestyle interest clusters within 1.5km of your Oxford Street, Westfield, or Spitalfields stores. Layer Full-Time Commuter + rainy-weather trigger to push lunchtime offers. Switch to Weekend Explorer for Saturday footfall.
Tourism & City Planning
Promote seasonal attractions to weekend visitors
Target Weekend Explorers and families interested in Travel & Outdoor and Family & Education within 5km of key attractions. Layer clear weather conditions for outdoor events.
Retail, NYC Subway Network
Reach MTA commuters near your SoHo or Williamsburg cluster
Activate offers for commuters passing through Midtown, SoHo, or Williamsburg with category-matched messaging near your store cluster. Layer payday cycle, weather, or competitor proximity to push the right promo at the right moment.
For Retail Marketing Leaders
Built for the CMO's KPI tree
From flagship stores in London's West End to multi-location chains across NYC's five boroughs, speak to the commuters who actually walk past your door.
Drive measurable footfall
Visit attribution via commute-corridor pass-through. See incremental store visits, not vanity impressions.
Convert near, not far
Radius targeting around every store, Oxford Street, Westfield, SoHo, Williamsburg. Not city-wide blast.
Time it to behaviour
Payday cycles, weather triggers, commute windows, and seasonal moments, Black Friday, Boxing Day, back-to-school.
Retail Playbooks, ready to deploy
For Agencies
Manage every retail client from one console
Built for media, experiential, and retail-specialist agencies running campaigns across multiple brands in London, NYC, and beyond.
Multi-client workspaces
Toggle between brands. Keep audiences, campaigns, and reports cleanly separated per client.
White-label reporting
Export branded PDFs and CSVs. Your logo, your colours, your story to the client.
Reseller pricing
Volume rates with margin built in. Transparent per-seat and per-client economics.
Shared audience templates
Build a winning segment once, deploy it across every retail client in your portfolio.
Brand A, UK Fashion Retailer
London · 2.1M reached this month
Brand B, NYC Beauty DTC
New York · 847K reached this month
Brand C, Coffee Chain
London + NYC · Pilot, 312K reached
The numbers speak for themselves
Based on UK + US commuter marketing benchmark studies and retail pilot data. London + NYC live
of location impressions reach the wrong audience
higher conversion with contextual targeting
average receptivity window per commute
granular interest tags for precise matching
incremental footfall lift in retail pilots
lower cost-per-visit vs. programmatic OOH
Trust & Privacy
Privacy by design, not by afterthought
We never expose individual user data. Every data point is anonymised, aggregated, and governed by strict thresholds.
Fully Anonymised
No PII. No individual user data exposed to partners. Ever.
Static Snapshots
Monthly aggregated data. No real-time tracking or live GPS.
GDPR Compliant
Full compliance with UK and EU data protection regulations.
Minimum Segments
Threshold enforcement prevents de-anonymisation of small groups.
User Controlled
Consumers control their data sharing preferences at all times.
Pricing
Audience-as-a-Service
Simple, predictable subscription pricing. No per-impression fees. No hidden costs.
Starter
For teams testing commuter targeting
- Up to 2 target locations
- 5 interest categories
- Basic commute patterns
- Monthly audience snapshots
Growth
For brands scaling audience campaigns
- Up to 5 target locations
- All 10 categories + 96 tags
- All commute patterns + weather
- Campaign management
- Priority support
Enterprise
For large retailers & multi-brand operators
- Unlimited locations
- Custom audience segments
- API access
- Dedicated account manager
- Custom reporting
Agency
For media & retail-specialist agencies
- Unlimited client workspaces
- White-label PDF & CSV exports
- Shared seats across team
- Reseller pricing & margin
- Dedicated CSM + onboarding
Our Partners
Powering contextual marketing in transit apps worldwide
Embedded in the daily transit apps used by millions of commuters across major cities.
MTA
New York
RATP
Paris
DB
Germany
SBB
Switzerland
GVB
Amsterdam
JR
Tokyo
Etihad Rail
UAE
TfL
London
TransLink
Brisbane
Mobicia
Multi-city
Global Presence
A global network, locally embedded
Offices across 5 continents, with deep partnerships in every major transit market.
Google Maps Heritage
Founded by the team that built Google Maps. 30+ years of geospatial innovation.
80+ Employees
Lucerne · London · New York · Hong Kong · Vietnam
Renowned Partners
MTA, RATP, DB, SBB, GVB, JR, Etihad Rail, TfL and more.
FAQ
Frequently asked questions
Ready to reach your perfect audience?
Book a 30-minute demo and see how Axon Vibe can transform your commuter marketing.
