No publishable AOV benchmark
Explore category insights and their sources below.
Passenger Transportation Services354 / 552
Madgicx Research & Labs
Regional Transport Services
Read fare systems before counting sales.
MADGICX / LABSINDUSTRY RESEARCH
Research only
Scope & method
Within Passenger Transportation Services
More in this industry. 5
Questions, answered.AOV, context & using this research7 answers
In this category
Can several regional journeys share one fare?
TfL's Hopper rule allows multiple eligible bus and tram journeys within its stated time window using the same card or device. A journey count therefore need not equal a count of separately charged fares. This is a London fare example, not a category sales benchmark.
Can a campaign estimate transport revenue by multiplying rides by a single fare?
TfL publishes daily and weekly bus-and-tram caps as well as individual pay-as-you-go fares. A capped customer's total need not equal an uncapped ride-by-ride calculation. Use the applicable fare product and paid amount when evaluating revenue from increased travel.
Does a pass purchase mean each later journey is another acquired sale?
TfL sells bus-and-tram passes for stated periods alongside pay-as-you-go travel. Distinguish the purchased pass from the journeys it supports when assessing a pass promotion. Subsequent use alone does not establish another payment or another newly acquired customer.
Why might a transport fare charge later need correction?
TfL explains that missed touch-in or touch-out, or use of different cards, can create maximum fares with potential refunds. Review corrected fare records before treating an anomalously high charge as higher customer value. The touch rules also differ for buses and trams.
Category research
Is an AOV benchmark available for this category?
No publishable AOV benchmark is available.
The exact category cohort does not support a publishable AOV aggregate. Parent and sibling benchmarks are not substituted.
Use this research
Can I download this industry research?
The exports section provides this edition in Markdown and JSON, along with a research index. This private draft is not licensed for public redistribution.
How should I cite a finding from this page?
When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.
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Connected industries.
Research scope
Small print.
Clear boundaries.
Evidence scope
Benchmark status reviewed 11 October 2026.
The exact category cohort does not support a publishable AOV aggregate.
Median and middle 50% of account-level average order values. Each account value is purchase ROAS multiplied by cost per purchase in USD. Successful classifications, including manual corrections, with positive finite spend, purchases, ROAS and cost per purchase. Accounts are counted once with equal weight. Quartiles use linear interpolation. Root cohorts include direct root classifications and their child categories; exact-child cohorts exclude parent and sibling categories. The source selects the highest-spend coverage row per account among snapshots dated within the preceding 30 days; the underlying reporting period is not supplied. This is a dated aggregate advertising-data snapshot, not business-wide AOV or a census. Parent and sibling benchmarks are never substituted.
Category scope
Individually authored category research. The brand directory is deferred for this private draft. Taxonomy membership does not establish benchmark coverage.
Exports & citation detailsMarkdown · JSON · Embed
When reuse is permitted, credit Madgicx Research & Labs and link to the exact source. Keep its snapshot date and scope. This private draft is not licensed for public redistribution.