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Barry Gallagher07/09/2511 min read

The Hidden Potential of Transit Loyalty Programs for Marketers

How this guide was prepared. Last updated October 2026. It draws on Brandmovers' work on the Metrolink program cited below. It also draws on the American Public Transportation Association, King County Metro, the San Francisco County Transportation Authority and the California Consumer Privacy Act, each checked at its source.

A transit loyalty program rewards riders for travel behaviors a transit system wants, such as riding more often, traveling off-peak or connecting across modes, with points, free rides, fare credits or partner offers. For marketers, it is also a channel: a frequent, opt-in relationship with people on the move, where rewards can shape when and where they travel and shop.

Transit loyalty programs have usually been framed as an agency tool for ridership, crowding or fare modernization. That is still their core job, but they can also give brands a way to reach riders through rewards rather than advertising alone. This guide covers why transit loyalty matters now, the main program models, what marketers can gain and where the limits are, the data rules that apply, how to measure results and how to design a program that works for both the agency and its partners.

Key Takeaways

  • US transit ridership reached 7.66 billion trips in 2024, according to APTA.
  • A transit loyalty program rewards travel behaviors the system wants, and partner rewards let brands take part in that relationship.
  • Pilot results suggest incentives can move behavior: in BART's Perks pilot, about 10 percent of the morning rush-hour riders reached by the program shifted out of the busiest hour.
  • Design around one behavior per goal, keep rewards simple, and measure against riders who did not get the incentive.
  • Travel data can include precise geolocation, which California law treats as sensitive personal information.

 

Why do transit loyalty programs matter now?

Transit loyalty programs matter now because ridership is still rebounding from pandemic lows, and agencies want riders to return and, in some cases, to change when they travel.

The American Public Transportation Association reports that "Ridership reached 7.66 billion trips in 2024," which it describes as "the fifth consecutive year of ridership growth," and that ridership in the second quarter of 2025 was "7.3 percent higher" than a year earlier (APTA Passenger Transport, September 4, 2025). APTA describes 2024 as "a significant rebound from pandemic lows." Growth in total trips does not tell an agency whether riders are returning at the times and on the routes it needs, and a loyalty program can reward trial, repeat riding, off-peak trips and connections across modes.

What are the main transit loyalty program models?

Transit loyalty programs fall into three broad models: rider rewards for using the system, incentives that shift when people travel, and partner rewards that bring local businesses into the program.

Model

Main goal

Example

What a brand partner gets

Metric to track

Rider rewards

Repeat riding and app use

King County Metro Transit GO Rewards

Limited; redemption partners are transit and mobility operators

Active members; trips per member; redemptions

Demand-shifting incentives

Move trips out of crowded periods

BART Perks

Limited; mainly an agency tool

Share of trips in the peak versus incentivized periods

Partner and sponsored rewards

Local commerce and program funding

Metrolink SoCal Explorer Partners

Offers redeemed by riders near stations and destinations

Partner redemptions; visits; cost per redemption

Rider rewards. King County Metro's Transit GO Rewards gives riders points "When a rider completes a Transit GO Rewards campaign," redeemable for "transit fares or credit for any of the bike or scooter-share systems that operate in the Seattle area," including Lime, Veo and Bird. The program won APTA's "2023 Innovation Award," and King County Metro reported "More than 30,000 active participants" and "70 percent of active users redeeming their first reward within 24 hours of signing up" (King County Metro, August 17, 2023).

Demand-shifting incentives. BART Perks was "a six-month test program to explore new ways to reduce crowding on BART," run from August 2016 to February 2017. According to the San Francisco County Transportation Authority, "About 10 percent of the morning rush hour riders reached by the program did in fact shift their travel time out of the busiest hour of the morning"; of 2,600 participants who had traveled in the peak hour, an average of 250 shifted each weekday (SFCTA). The effect was modest, and because it was measured among riders who chose to join, it may be smaller across all riders.

Partner and sponsored rewards. Local businesses fund or provide rewards in exchange for exposure to riders. This is the model most relevant to marketers, and it is covered in the Metrolink example below.

Why should marketers pay attention to transit loyalty?

Transit loyalty gives marketers frequent, opt-in contact with riders as they decide where to go, and rewards they can act on, which gives partners a direct measure of response.

Frequency. Commuters may use the system daily, so a program can reach members often. Frequency is not attention, though: riders on the move have little time, so offers need to be simple and immediately useful.

Rewards over impressions. A partner offer that a rider redeems produces a measurable result, and a useful reward, such as a discount near a station or a fare credit, can feel more useful than an advertisement. Sponsored rewards can still annoy riders if they crowd out the transit value members joined for, so keep them relevant and limited.

The agency sets the terms. Transit programs are run by public agencies with their own advertising and data policies. Partners work within those policies rather than treating the program as open media inventory.

Metrolink, Southern California's regional passenger rail system, which the Brandmovers case study describes as connecting six counties, shows the partner model in practice. When it launched SoCal Explorer, Metrolink said members "earn one point for every mile they travel," that "Just for signing up, members will receive enough points for a round-trip ticket," and that "more than 30 local businesses are SoCal Explorer Partners, offering discounts and other incentives to program members in exchange for being promoted as a part of the program" (Metrolink). The program was built on BLOYL™, Brandmovers' enterprise loyalty platform, and brings together customer data from "paper tickets, mobile app, CRM software" and uses the Promotions Builder for "sweepstakes, hashtag challenges, and seasonal promotions." The case reports a 15% increase in average monthly transactions among members, a 60% active engagement rate among enrolled riders and a 25% increase over enrollment goals during the pandemic (disclosed by Brandmovers; Metrolink case study). The figures reflect the whole program, and no comparison group is reported. Neither the case study nor the press release reports partner redemptions or partner results, so the example shows how a partner network is set up rather than what partners gained.

What data does a transit loyalty program create, and what rules apply?

Transit loyalty data covers trip timing, routes and redemptions; where device data locates riders precisely, California's consumer privacy law treats it as sensitive personal information for covered businesses.

That data can help an agency and its partners understand when members travel and which offers they act on, which makes it well suited to local, behavior-based offers. It also needs care. The California Consumer Privacy Act defines "Precise geolocation" as data derived from a device and used to locate a consumer "within a geographic area that is equal to or less than the area of a circle with a radius of 1,850 feet," and lists "A consumer's precise geolocation" as sensitive personal information (Cal. Civ. Code 1798.140). The Act applies to for-profit businesses that meet its thresholds, so partners that receive rider data may be covered, while public agencies have their own rules. Other states may have their own privacy laws. Share aggregated or de-identified results with partners where possible, collect location only when a feature needs it, and say clearly how data is used. This is general information, not legal advice. The guide to first-party data from loyalty programs covers data collection more broadly.

How do you measure whether a transit loyalty program works?

Measure a transit loyalty program by its target behavior, such as trips per member or partner redemptions, comparing riders who got an incentive with similar riders who did not.

Members who join a program are often already frequent riders, so comparing members with non-members overstates the program's effect. Where possible, offer an incentive to a randomly chosen group of eligible riders and compare their travel with similar riders who did not receive it. The published BART Perks results describe shifts among riders who signed up, not a comparison with riders who did not, so treat them as a participant result rather than a measured program effect. For partners, track redemptions, visits and cost per redemption, keeping in mind that some redeeming riders would have visited anyway, and agree how results will be shared before launch.

How do you design a transit loyalty program that works for brands and agencies?

Start from one target behavior, segment riders, keep rewards easy to understand, bring in local partners whose offers riders value, and build measurement in from launch.

Start from the behavior. Decide what the program should change, such as more off-peak trips, more connections to bike-share or more visits to businesses near stations, before choosing rewards.

Segment riders. Daily commuters, occasional leisure riders, visitors, students and event-goers respond to different rewards. Some riders pay with paper tickets or cash, or do not use the app, so offer a way to earn and redeem without it, and check that reduced-fare riders can take part on equal terms. The guide to marketing to different types of transit riders covers the segments.

Keep the value obvious. Free rides, fare credits and simple partner discounts are easier to understand than abstract point ladders. Light game mechanics, such as challenges and streaks, can help; the guide to gamification in loyalty programs covers the options.

Recruit partners riders will use. Local businesses near stations and destinations give riders reasons to redeem and give partners measurable visits. Agree the terms in writing before launch: what the offer is and how long it runs, who funds the reward, what data the partner receives (aggregated results by default), how often results are reported, how creative is approved under the agency's advertising policy, and how either side can exit.

Plan for the long term. Treat the program as an ongoing part of the agency's customer relationship, not a seasonal promotion, budget for the fare value given away, and review rewards and partners as ridership patterns change.

Common mistakes in transit loyalty programs

The most common mistakes are rewarding every trip the same way, making the program hard to understand, and treating partner rewards as advertising space rather than value for riders.

Rewards with no target behavior. If every trip earns the same reward, the program pays for riding that would have happened anyway without changing anything.

Complexity. Riders use the program on the move. Rules that need explaining will be ignored.

Partners as ad space. Offers that riders do not value weaken both the program and the partner relationship. Choose partners for rider value first.

Frequently Asked Questions

  • A transit loyalty program rewards riders for behaviors a transit system wants, such as riding more often, traveling off-peak or connecting to bike-share and scooters, with points, free rides, fare credits or partner offers. King County Metro's Transit GO Rewards, for example, lets riders redeem points for transit fares or bike and scooter credits.
  • They offer frequent, opt-in contact with riders and rewards riders can act on, such as partner discounts near stations, which makes results measurable through redemptions and visits. Partners work within the agency's own advertising and data policies, and offers need to be useful to riders rather than advertising alone.
  • Pilot evidence suggests they can, in modest amounts. In BART's Perks pilot, about 10 percent of the morning rush-hour riders reached by the program shifted their travel out of the busiest hour. Measure effects by comparing riders who received an incentive with similar riders who did not, since members are often frequent riders already.
  • Trip and location data can be sensitive. California law treats precise geolocation, location within a radius of 1,850 feet, as sensitive personal information. Collect location only when a feature needs it, share aggregated results with partners where possible, and explain clearly how rider data is used.

Conclusion

Transit loyalty programs are an agency tool for ridership and crowding, and they can also be a channel for brands that want frequent, measurable contact with people on the move. BART Perks suggests incentives can shift travel in modest amounts, King County Metro shows riders will enroll and redeem quickly, and Metrolink's partner network shows how local businesses can take part. Design around one behavior at a time, keep rewards simple, protect rider data and measure against riders who did not get the incentive.

Planning a transit or mobility loyalty program? Brandmovers designs loyalty programs on BLOYL, including Metrolink's SoCal Explorer, with non-purchase earning, a promotions builder for sweepstakes and challenges, and real-time dashboards. Request a demo to talk through your ridership goals and partners with the Brandmovers team.

 

Sources

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Barry Gallagher
Barry Gallagher is a loyalty and digital marketing strategist at Brandmovers, where he leads content strategy across B2C and B2B loyalty programs. He writes on program design, engagement mechanics, and the data signals that separate high-performing loyalty programs from the rest.

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