⎯ TL;DR
  • Minimum 3 leads per month — and Pro tariff ($89) pays off. 4th is already plus. 10th = $211 pure profit.
  • Real clients do 100-500 leads/month → ROI 10-50× easily.
  • Formula is universal but differentiated by niche: media buying $30/lead, Web3 $60, B2B $150+.
  • Where it doesn't work: if you have no offer / no sales — the tool doesn't compensate. Tool is an amplifier, not source of truth.

ROI math in Telegram outreach is often overfitted — ad agency clients promise "x20 / x50 / x100". Reality is more conservative. But even conservative math is massively in the plus for most niches.

Let's break it down step by step.

01 · Basic formula

Break-even: 3 leads

# Simple arithmetic tariff_pro = 89 # USD/month avg_lead_value = 30 # conservative, media buying break_even_leads = tariff_pro / avg_lead_value # 89 / 30 = 2.97 → 3 leads # After the 3rd lead — profit margin profit_per_extra_lead = 30 # clean ~100% margin (tool already paid off)

This is the most conservative estimate. It assumes: (a) a lead only brings $30, (b) you have no costs besides the tariff, (c) conversion is what a typical beginner gets.

In reality — leads are worth more, costs exist (proxy + time), but experienced operator conversion is 3-5× higher. Math ultimately stays in the operator's favor.

02 · By niche

LTV differentiation

NicheAvg lead valueBreak-even leadsTypical client does
Media buying (CPA)$20-502-5 leads100-500/mo
Crypto / Web3 services$50-1501-2 leads50-200/mo
Infobiz (courses $200-1K)$80-3001 lead20-100/mo
SMM agency$300-1000< 1 lead5-40/mo
B2B SaaS sales$500-5000< 1 lead3-20/mo
E-com (DTC)$30-802-3 leads50-300/mo

Key observation: in B2B, a single lead recoups the tool multiple times. In media buying — 2-5 leads. But in media buying, volume is higher, and total ROI is comparable.

03 · Full economics

Honest calculation with all costs

The simple formula ignores ongoing costs. More accurately:

# Full stack for average client tariff_tgon = 89 # USD/month accounts_5x = 50 # 5 accounts × $10 (renew / replace) proxies = 75 # residential pool llm_api = 20 # if you use your own OpenAI # ───────── monthly_infra = 234 # total break_even_leads = 234 / 30 = 8 # in media buying break_even_leads = 234 / 80 = 3 # in Web3 break_even_leads = 234 / 300 < 1 # in SMM agency

Even with all costs included, math stays in operator's favor at any realistic volume.

04 · Worked example

Example: crypto media buying

Solo media buyer, coming from the "crypto trade signals" niche:

Looks negative at first glance. But this is one funnel. Experienced media buyers run 3-5 funnels in parallel. 3 × $56 = $168/month clean. 5 × $56 = $280.

Key point: the tool doesn't make your offer for you. If you have a weak funnel (LTV $10 instead of $45), math drops. Tool ROI is a multiplier on your offer, not the source of truth.

05 · When NOT to buy

Where the tool won't help

Honestly, when TG:ON won't pay off:

Tool is an amplifier. If your product/offer/sales are fine — TG:ON gives ×10 output. If not — the tool won't fix anything.

«If you can't sell — automation won't teach you. If you can — it'll amplify you.»
⎯ download

TG:ON for macOS · Windows · Linux

Desktop app, 160 MB. Runs locally, your keys stay yours. 3-day trial, no credit card.

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⎯ test it yourself

3 days · 3 leads.
See the real ROI.

3-day trial is enough to run 1-2 campaigns and see your actual conversion. If you pull 3 leads, the math works. If 0 — the problem is in the offer, not the tool.

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