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ARPU benchmarks by industry 2026: median vs top-quintile

ARPU benchmarks by industry for 2026: median and top-quintile monthly ARPU levels and growth rates across nine B2C categories, with the method.

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ARPU benchmarks by industry 2026: median vs top-quintile

ARPU benchmarks by industry in 2026 show two things at once: absolute revenue per user varies by more than 8x between categories, and inside every category the top quintile is compounding ARPU 2.7 to 3.8 times faster than the median. Below are both numbers — levels and growth — for nine large B2C industries, plus the method, the sample size and the limits of what a benchmark can tell you.

If you need the definition first, start with our guide to ARPU definition and formula. This piece assumes you already measure ARPU and want to place your own number against your category.

What are the ARPU benchmarks by industry in 2026?

Median monthly ARPU in 2026 runs from about $4 in prepaid telecom to about $35 in postpaid telecom. Growth is where operators separate: median ARPU growth sits between 1.9% and 5.1% over the trailing twelve months, while top-quintile growth runs from 6.7% to 14.2% in the same categories.

Median and top-quintile monthly ARPU levels and ARPU growth rates by industry, TTM to Q2 2026
IndustrynRegionMedian ARPU / moTop-quintile ARPU / moMedian growthTop-quintile growthSpread
Streaming18US / EU$9.40$14.80+3.4%+9.8%2.9x
Telecom (postpaid)24US / EU$34.60$48.20+1.9%+6.7%3.5x
Telecom (prepaid)21LATAM / SEA$4.10$7.30+2.1%+7.9%3.8x
Fintech19US / EU$6.80$13.10+4.2%+11.3%2.7x
Travel12Global$11.20$19.60+2.8%+7.5%2.7x
Marketplaces16Global$7.50$15.40+3.7%+10.1%2.7x
Gaming (live services)14Global$5.20$12.90+5.1%+14.2%2.8x
Media / publishing13US / EU$8.10$13.70+2.2%+8.4%3.8x
Retail / subscription commerce10US / EU$12.60$22.40+3.0%+10.2%3.4x

Source: Markin 2026 B2C ARPU benchmark set, 147 operators, TTM to Q2 2026. Levels are monthly ARPU in USD at period-average rates for the region shown; growth is trailing twelve months. Spread is top-quintile growth divided by median growth.

What is the average ARPU by industry?

Average monthly ARPU in 2026 is roughly $34.60 in postpaid telecom, $12.60 in subscription retail, $11.20 in travel, $9.40 in streaming, $8.10 in media, $7.50 in marketplaces, $6.80 in fintech, $5.20 in live service gaming and $4.10 in prepaid telecom. Those are medians for the regions listed, not global averages.

What is a good ARPU growth rate in 2026?

A good ARPU growth rate is one that beats your category median with a causal read behind it. In practice that means above roughly 3% trailing twelve months in most B2C categories, above 5% in gaming and fintech, and — the part that matters — a positive treated-versus-holdout delta rather than growth that comes from mix or price increases alone.

Why is the gap between median and top-quintile ARPU so wide?

Because the spread is an operating-model gap, not a market gap. Absolute growth rates differ by industry, but the top-quintile-to-median ratio stays inside a narrow 2.7x to 3.8x band across nine unrelated categories. Sector tailwinds would not produce that consistency; a shared difference in how decisions are made would.

Three readings of the table

The spread is stable, so the cause is internal. If streaming and prepaid telecom — different geographies, price points and churn dynamics — land on the same ratio, the differentiator is common to both: how many per-customer decisions get made and measured per week.

Gaming and marketplaces lead on absolute growth. Both have short monetization cycles and dense per-user telemetry, so a leader can run more experiments per customer per quarter and read them faster.

Telecom and media show the widest spreads. Their medians remain campaign-driven while the top quintile has moved to continuous per-user decisioning. The operational gap in these categories is larger than the technological one — the data usually already exists.

How are these ARPU benchmarks calculated?

The set covers 147 B2C operators with at least one million active customers and 24 months of ARPU history. ARPU is recognized monthly revenue attributable to end users, net of refunds and taxes, divided by average active users in the period. Operators are ranked on trailing-twelve-month growth; the top quintile is the fastest 20%, the median the 50th percentile.

  1. Denominator Paying users for subscription businesses, logged-in active users for consumption businesses. Never registered accounts.
  2. Window TTM to Q2 2026, compared against the same twelve months a year earlier. No annualized quarters.
  3. Exclusions The bottom quartile by customer count, and any operator acquiring below cost at scale, where the ARPU signal is dominated by dilution.
  4. Currency Converted at period-average rates, so a strong-dollar year does not read as an ARPU decline.

Where the numbers come from, row by row

Disclosure quality is not uniform, so we label it. Streaming and postpaid telecom levels are anchored to ARPU that operators publish themselves; other rows are partly or wholly derived from revenue and active-user disclosures plus Markin’s own observed workspace data.

Disclosure basis for each industry row
IndustryBasis of the level column
StreamingMostly disclosed ARPU
Telecom (postpaid)Mostly disclosed ARPU
Telecom (prepaid)Part disclosed, part derived
FintechPart disclosed, part derived
TravelPart disclosed, part derived
MarketplacesPart disclosed, part derived
Gaming (live services)Derived from observed data
Media / publishingPart disclosed, part derived
Retail / subscription commerceDerived from observed data

Public anchors you can check yourself: Netflix investor relations, Spotify investor relations, T-Mobile investor relations, Verizon investor relations, Vodafone investor relations.

What would change these conclusions

  1. A collapsing spread If the top-quintile-to-median ratio compressed below 2x while absolute growth held, the operating-model explanation would weaken and pricing power would be the better story.
  2. Divergent ratios by category If ratios split by industry rather than clustering, sector structure would dominate and cross-industry benchmarking would stop being useful.
  3. Mix, not incrementality If top-quintile growth turned out to be plan-mix migration with flat holdout deltas, the number would be real but not repeatable. This is the failure mode we test for first in any new workspace.

How do you compare your own ARPU against these benchmarks?

Normalize before you compare: same net-revenue numerator, same active-user denominator, same twelve-month window, same currency treatment. Then read your growth rate against your category median and top quintile. Finally, read your program against a preserved holdout, because a peer benchmark cannot prove that your growth was caused by anything you did.

Normalization checklist

  1. Numerator Recognized end-user revenue net of refunds and taxes. Strip professional services, hardware and one-off fees, or your number is ARPA, not ARPU.
  2. Denominator Average active users over the period, not end-of-period, and not registered accounts.
  3. Mix control Report ARPU growth split by plan tier and tenure cohort. A base shifting upmarket shows ARPU growth without any behavior change.
  4. Causal read Compare treated versus holdout for the same period. If the holdout is closing the gap, you are measuring mix, not incrementality.

A worked example

A streaming operator has 4.0M average active paying users and $432M of net end-user revenue over twelve months. ARPU is 432 / (4.0 × 12) = $9.00 per month, against a $9.40 category median — mid-pack on level. Prior year was $8.64, so growth is +4.2%, above the +3.4% median but well under the +9.8% top quintile.

Now the causal read. Treated ARPU grew 4.2%; the 10% holdout grew 3.6%. The incremental delta is 0.6 points, roughly $2.6M of annualized revenue. That is the real output of the ARPU program — not the 4.2% headline. Top-quintile operators in this set typically show 3 to 5 points of holdout delta, which is where the $9.40-to-$14.80 level gap comes from over several years.

How do you move from median to top-quintile ARPU growth?

Four changes account for most of the gap we observe: a preserved holdout, per-customer scoring on every ARPU lever weekly, ranking by expected incremental margin, and a decision cadence above one change per active customer per month. Answer the four questions below honestly and the weakest one is your constraint.

  1. Is there a preserved holdout at the base level? 5 to 15 percent of the eligible base receiving no ARPU-program interventions is the minimum for a causal read. Campaign-level control groups do not substitute.
  2. Is every eligible customer scored weekly on every lever? Plan mix, cross-sell, retention, reactivation and pricing each need a per-customer propensity and uplift score, refreshed weekly.
  3. Are actions ranked by incremental margin? Not response rate, not predicted revenue. Expected incremental margin net of intervention cost, including the discount you did not need to give.
  4. Do you ship more than one decision per active customer per month? Top-quintile operators are near one decisioning change per active customer per month. The median is closer to one per quarter.

The mechanism behind the widening spread is covered in why B2C ARPU spreads keep widening, and the five levers themselves in how to increase ARPU. For category-specific reads, see telecom, streaming, fintech and retail.

Conclusion

ARPU benchmarks by industry in 2026 are useful for two things: sizing what business you are in, and measuring how far you sit from the best operators in it. The levels vary 8x across categories; the spread between median and top quintile stays in a tight 2.7x to 3.8x band. That stability is the finding.

So the benchmark to chase is not a competitor’s ARPU. It is your own holdout delta, quarter after quarter, produced by a decision cadence no manual team can maintain.


Markin runs that loop on your own customer base 24/7. To see where your ARPU sits against this set and which actions are available to you, explore Revenue discovery or Growth optimization.

Frequently asked

Questions readers ask about this.

What is the average ARPU by industry in 2026?
Median monthly ARPU in 2026 is roughly $34.60 in postpaid telecom, $12.60 in subscription retail, $11.20 in travel, $9.40 in streaming, $8.10 in media, $7.50 in marketplaces, $6.80 in fintech, $5.20 in live-service gaming and $4.10 in prepaid telecom. These are regional medians, not global averages.
What is a good ARPU growth rate?
A good ARPU growth rate beats your category median and survives a causal read. In most B2C categories that means above roughly 3% trailing twelve months, above 5% in gaming and fintech, and a positive treated-versus-holdout delta rather than growth produced by plan mix or price increases alone.
What is an ARPU benchmark by industry?
An ARPU benchmark by industry compares average revenue per user across operators in the same vertical. Absolute levels vary widely by geography and business model, so the most decision-useful benchmark is the ratio between median and top-quintile ARPU growth within a category.
Which industries have the widest ARPU spread in 2026?
Telecom (prepaid) and media/publishing show the widest spreads, with top-quintile growth roughly 3.8x the median. Telecom (postpaid) and retail/subscription commerce are close behind. The consistency of the spread across unrelated categories is the most important signal.
How do you compare your ARPU against industry benchmarks?
Normalize first: recognized net end-user revenue as the numerator, average active users as the denominator, the same twelve-month window and period-average currency rates. Then compare your trailing-twelve-month growth to your category median and top quintile, and read your own program against a preserved holdout, because peer benchmarks cannot prove incrementality.
How are the ARPU benchmark numbers calculated?
The set covers 147 B2C operators with at least one million active customers and 24 months of ARPU history, measured trailing twelve months to Q2 2026. ARPU is recognized monthly end-user revenue net of refunds and taxes divided by average active users. The top quintile is the fastest-growing 20%; the median is the 50th percentile. The bottom quartile by customer count and operators acquiring below cost at scale are excluded.
What is the fastest way to move from median to top-quintile ARPU growth?
Install a preserved holdout, score every eligible customer on the five ARPU levers weekly (plan mix, cross-sell, retention, reactivation, pricing), rank actions by expected incremental margin rather than response rate, and ship more than one decision per active customer per month.

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