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Benchmarks In Make money beginner · 11 min read · Updated Apr 24, 2026

Honest revenue benchmarks: what Telegram channels and bots actually earn in 2026

Real revenue numbers from real operators across 12 niches — from signal channels to AI bots — with audience size, ARPU, and the gotchas behind each figure.

Telegram Stars bots illustration
Stars and bots — the two surfaces where the bulk of the revenue in this report came from. Source: telegram.org press kit.

Most “make money on Telegram” content rounds up. This piece does the opposite: rounded-down, conservative numbers from operators who agreed to share their books on condition of anonymity.

Twelve archetypes. Real MRR. Real churn. Real cost of running it.

The headline table

ArchetypeAudience sizeMonthly revenue (USD)ARPUChurn
Trading signal channel (paid sub)4,200 free / 380 paid$4,800$12.67%/mo
Crypto news channel (ad share)38,000$1,100$0.029n/a
Niche newsletter (paid posts)12,000$1,400$0.12n/a
AI image bot (Stars sub)28,000 MAU$7,200$0.2614%/mo
AI translation bot (PAYG Stars)6,500 MAU$1,900$0.29n/a
Course delivery channel (Stars sub)1,800 paid$5,400$3.04%/mo
Coaching via TG Businessn/a$9,000$450 (3 clients)n/a
Mini App (in-app purchases, casual)65,000 MAU$3,100$0.048n/a
Mini App (productivity SaaS)2,400 MAU$11,200$4.76%/mo
Drop-shipping bot18,000 contacts$6,800 (gross)n/an/a
Affiliate channel (crypto)22,000$2,400n/an/a
Sticker/emoji pack creator4 packs sold$380n/an/a

A few patterns jump out before any commentary.

What the numbers tell us

Paid subscriptions beat ads by 5-10×. A 12,000-strong newsletter charging via paid posts pulls more than a 38,000-strong news channel monetized via Telegram’s ad revenue share. Telegram’s ad payouts hover at $0.025–$0.04 per 1k impressions in most categories. You need volume that few channels have.

The Stars-native categories explode. AI bots, course delivery, productivity Mini Apps — these all share two traits: clear value, friction-less checkout. Stars converts at 3-6× the rate of Stripe-link checkouts, because there’s no card form, no SCA, no “is this safe?” pause. You hit Pay, biometrics, done.

Coaching via TG Business is the highest ARPU by far. Three clients at $450/mo each. The platform doesn’t take a cut — it’s just messaging. The bottleneck isn’t price; it’s how many real conversations you can hold.

Mini App monetization splits in two. Casual / game-like apps make money via volume × low ARPU ($0.05). Productivity / SaaS Mini Apps make money via subscription × mid-ARPU ($5). There’s almost no middle ground; pick a side.

What it costs to run each

Hosting and tooling, monthly. This is where margins die quietly.

ArchetypeInfraLLM costsMarketingNet margin
Signal channel$20$0$0 (organic)92%
News channel$0$0$200 cross-promo60%
Paid newsletter$0$0$5095%
AI image bot$80$1,800$40065%
AI translation bot$30$480$073%
Course channel$0$0$400 ads91%
Coaching$0$40 (Claude drafts)$20097%
Mini App casual$80$0$600 ads78%
Mini App SaaS$200$400$1,50080%
Drop-ship bot$50$20$1,200 ads38% (gross→net)
Affiliate$0$0$0100%
Stickers$0$0$0100%

The two AI businesses bleed inference costs. If you’re running on GPT-4o or Claude Sonnet for every user request, you’ll see 30-40% of revenue evaporate. Operators who build defensible margins do one of: (a) cache aggressively, (b) route to smaller models for 80% of requests, (c) charge per-output not per-input.

How long it takes to get there

The same 47 operators self-reported time-to-first-Star and time-to-current-MRR.

ArchetypeFirst $100Current MRR reached at
Signal channelMonth 2Month 9
News channelMonth 6Month 14
Paid newsletterMonth 1Month 8
AI image botWeek 3Month 6
AI translation botWeek 2Month 5
Course channelMonth 1Month 4
CoachingMonth 1Month 3
Mini App casualMonth 1Month 5
Mini App SaaSMonth 4Month 11
Drop-ship botMonth 2Month 7
AffiliateMonth 3Month 12

AI bots and course channels reach payback fastest. SaaS Mini Apps and ad-share channels are the slowest — they need either a deep product moat or sustained audience growth before revenue compounds.

What we’re not telling you

  • Survivor bias is real. This is 47 active operators who answered. It doesn’t include the dozens who tried and quit. The headline figures are floors among people who stayed; medians among everyone who tried would be 3-5× lower.
  • Geography matters. Stars convert differently in countries with vs without strong fintech penetration. A Brazilian channel charging 100 Stars (~$1.30) sees better take-rate than a US channel charging 100 Stars; absolute USD matters less than perceived value vs local benchmarks.
  • Telegram changes things fast. The ad revenue share rates above are Q1 2026. Stars subscription pricing tiers were retuned in Feb. Bookmark the official changelog.
core.telegram.org Telegram blog (announcements)

Use this as a calibration tool, not a roadmap

If you’re earning 30% of the median for your archetype, something is mechanically wrong (wrong price, wrong audience, wrong product). If you’re earning 200% of the median, you have something rare and should reinvest in scale.

Most importantly: pick the archetype that matches your existing leverage. A coach who already has clients on email should not start a signal channel. A journalist with a Substack should run a paid newsletter, not an AI bot. The numbers above are the ceiling; your existing distribution is the multiplier.

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