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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All comparisonsARPU 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 method first, start with our ARPU calculation guide. This piece assumes you already measure ARPU and want to place your own number against your category.
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.
| Industry | n | Region | Median ARPU / mo | Top-quintile ARPU / mo | Median growth | Top-quintile growth | Spread |
|---|---|---|---|---|---|---|---|
| Streaming | 18 | US / EU | $9.40 | $14.80 | +3.4% | +9.8% | 2.9x |
| Telecom (postpaid) | 24 | US / EU | $34.60 | $48.20 | +1.9% | +6.7% | 3.5x |
| Telecom (prepaid) | 21 | LATAM / SEA | $4.10 | $7.30 | +2.1% | +7.9% | 3.8x |
| Fintech | 19 | US / EU | $6.80 | $13.10 | +4.2% | +11.3% | 2.7x |
| Travel | 12 | Global | $11.20 | $19.60 | +2.8% | +7.5% | 2.7x |
| Marketplaces | 16 | Global | $7.50 | $15.40 | +3.7% | +10.1% | 2.7x |
| Gaming (live services) | 14 | Global | $5.20 | $12.90 | +5.1% | +14.2% | 2.8x |
| Media / publishing | 13 | US / EU | $8.10 | $13.70 | +2.2% | +8.4% | 3.8x |
| Retail / subscription commerce | 10 | US / 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.
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.
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.
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.
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.
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.
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.
| Industry | Basis of the level column |
|---|---|
| Streaming | Mostly disclosed ARPU |
| Telecom (postpaid) | Mostly disclosed ARPU |
| Telecom (prepaid) | Part disclosed, part derived |
| Fintech | Part disclosed, part derived |
| Travel | Part disclosed, part derived |
| Marketplaces | Part disclosed, part derived |
| Gaming (live services) | Derived from observed data |
| Media / publishing | Part disclosed, part derived |
| Retail / subscription commerce | Derived 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.
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.
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.
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.
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.
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.
