Align revenue allocation with actual demand
Inform transport decisions with accurate, real-world data across the country.
Used by the world's leading companies
Unlocking fair revenue allocation with motiontag
Traditional fare allocation methods have reached their limits: field staff is hard to find, costs are exploding, and the data lacks precision. motiontag enables a new, proven approach—already trusted for Austria’s Klimaticket and for the distribution of Switzerland’s Generalabonnement by Alliance SwissPass. Our smartphone-based solution captures mobility behaviour objectively and continuously, compatible with planning, billing and revenue models.
Objective & automated
No manual surveys, no memory bias. Travel behaviour is captured directly on users’ smartphones—accurately, passively, and without user effort.
Fair by actual demand
Revenue is allocated based on real usage: per line, per operator, per kilometre. This ensures a fair, transparent and data-driven distribution across providers.
Scalable & cost-efficient
No fieldwork, no waiting. motiontag runs continuously and operates at a fraction of the cost of traditional surveys.
Integrated & future-proof
The system fits into existing ticket apps and data flows—offering machine-readable exports that support not only revenue sharing but also planning and tariff strategies.
Built on experience. Designed for fairness.
With more than 10 years of experience and proven deployments at scale in Austria and Switzerland, we deliver reliable, secure and privacy-compliant solutions for data-driven revenue sharing. Our system is trusted to support fair and robust allocation—based on real-world usage and built with full respect for data governance.
Validated data. Statistically sound.
Used by leading institutions in Austria & Switzerland, our method delivers statistically robust and unbiased results.
GDPR-compliant & secure by design
We are fully privacy-compliant and encrypted, with a system built with gov standards and user trust in mind.
Under the hood: How our solution powers fare allocation
From app-based tracking to transport mode detection and seamless data access—our modular system is built to deliver everything needed for accurate, scalable revenue allocation. motiontag supports both standalone and embedded deployments, while offering the technical precision and reliability trusted in national-level distribution models.
High-precision public transport detection
Accurately identify public transport usage—including lines, stops and operators—based on real-world travel behaviour. Essential input for demand-driven, operator-level revenue allocation.
App or SDK integration
Stay on top of your survey, study or project with a dashboard that offers real-time control, clear metrics, and secure access to all data.
Automated exports & API access
Access machine-readable outputs like passenger-kilometres (pkm) or custom operator reports—automatically, securely, and in formats ready for integration.
A new standard for revenue allocation
We move beyond manual counting and costly survey-based methods by delivering continuous, objective mobility data—more accurate, affordable, and ready for fair, demand-based revenue sharing across operators and regions.
90%
lower cost compared to traditional fare allocation methods
+ 97%
accuracy in detecting 12+ transport modes, including public transport lines and operators
From movement to measurement: Enabling fair, data-driven revenue allocation
Our technology marks a shift in how revenue sharing is done—moving from estimations and manual surveys to continuous, objective data collection. motiontag provides a proven alternative already in use across Switzerland and Austria, delivering demand-based KPIs that support fair and transparent allocation across operators.
Smartphone tracking—with or without beacons
Use GPS-based smartphone tracking on its own, or combine it with Bluetooth Low Energy beacons to improve precision in challenging environments like underground stations or dense urban areas.
Objective usage measurement
Capture verified user movement via smartphones—across modes, lines and operators—without survey-based reporting or recall bias.
Smartphone-powered KPIs
Generate operator-level metrics like passenger-kilometres (pkm), line loads or modal shares—ready for integration into your revenue model
Success stories
Client achievements
Learn how our solutions empower our partners to successfully reach their goals
Alliance SwissPass
How Alliance SwissPass is digitizing revenue distribution in public transport with motiontag
KlimaTicket
We assisted the Austrian nationwide flat-rate public transit ticket “Klimaticket,” when they required a robust fare allocation scheme to distribute revenues.
BVG
App-based tracking in the fahrinfo App: A scalable building block for the mobility transition in Berlin
Yougov
Understanding mobility patterns is a cornerstone of creating sustainable, efficient transportation systems.
Klimataler
How Klima-Taler app provides mobility insights while rewarding green transportation
Alliance SwissPass
How Alliance SwissPass is digitizing revenue distribution in public transport with motiontag
KlimaTicket
We assisted the Austrian nationwide flat-rate public transit ticket “Klimaticket,” when they required a robust fare allocation scheme to distribute revenues.
BVG
App-based tracking in the fahrinfo App: A scalable building block for the mobility transition in Berlin
Yougov
Understanding mobility patterns is a cornerstone of creating sustainable, efficient transportation systems.
Klimataler
How Klima-Taler app provides mobility insights while rewarding green transportation
motiontag's technology is a strong foundation for long-term market research
For several years, motiontag has been a reliable technology partner for infas across multiple large-scale projects, including national transportation surveys such as the Austrian National Mobility Study and fare allocation, e.g., KlimaTicket. The technology is exceptionally reliable at scale and has proven to be a strong foundation for long-term market research.
Head of Mobility and Regional Research
High-quality measurement of real-world behavior is fundamental for credible research.
Using MotionTag has been critical for accurately and granularly registering travel behavior across transport modes. This approach substantially reduces error and bias compared to self-reported measures, enabling us to observe actual behavioral change rather than stated intentions. Combined with a randomized controlled framework, this strategy has allowed us to estimate the causal effects of several transport policies (such as road pricing and subsidies) and to identify how individuals adjust mobility decisions across all transport modes in response to economic incentives.
Senior Research Economist
motiontag's tech allows us to focus on the new survey elements: time use and expenditures.
Over the years, the traditional way of collecting data through paper-and-pencil surveys has become less productive in terms of data quality and response rates. It is difficult to choose between the two main passive alternatives, GSM and GPS data, because access, costs, and data volumes vary widely. Here, the abilities and quality of motiontag’s proven technology make the choice often easy.
Emeritierter Professor
motiontag's data forms the basis for the allocation of Klima-Talers
By integrating MotionTag's mobility detection into the Klima-Taler.com platform, climate-friendly journeys can be automatically measured and evaluated. More than 50 participating municipalities receive reliable data on CO₂ savings and the use of sustainable forms of mobility. The data shows how mobility behavior is changing for the better in everyday life.
CEO & Co-Founder
motiontag's tech allowed us to capture individual mobility trajectories linked to key characteristics
In our research on gender mobility in Curitiba’s favelas, motiontag’s smartphone-based tracking enabled us to collect detailed route, modal choice, and travel time data directly within these communities. Unlike traditional Origin–Destination surveys - often aggregated into large spatial zones - or large-scale mobile phone big data, which typically lack socio-demographic detail, this approach allowed us to capture individual mobility trajectories linked to key characteristics such as household composition, gender, income, and race. This combination provided unprecedented insight into gender-based mobility inequalities and supports the development of more inclusive urban mobility policies.
Associate researcher in Urban Management
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Catch up on the latest in mobility, transportation and sustainability
Why representativeness is the silent engine of the mobility transition
The data revolution is here, but data without representativeness is a liability. As public transport authorities and ministries across the DACH region shift toward evidence-based planning, the methodology behind the data is becoming as important as the data itself.
by Martin Velkovski
Precision instead of guesswork: the digital revolution in revenue allocation at Alliance SwissPass
Discover how Alliance SwissPass and motiontag are revolutionizing revenue allocation through automated mobility data, replacing manual travel diaries. Learn more about the results of the 2024 pilot project, which is setting new standards for precision and fairness across Swiss public transport.
by Julia Smereka
How BVG and motiontag demonstrate that digital data collection in public transport is ready for the next step
Reliable mobility data is the basis for traffic planning and revenue sharing. Learn about the profound impact the NuVe project is having on the efficiency and fairness of public transport management.
by Tamara S