Best push ad networks for Telegram Mini Apps in 2026: eight networks ranked for TMA traffic on a Telegram-WebApp-aware push layer

The ranking

Each card carries the verified specs, where the network wins and falls short for TMA specifically, and the written take on when to choose it.

The TMA push numbers I actually use

Let me show you the numbers. Push CTR for TMA deeplink creative ran at 2.4–4.1% across my consulting data Q4 2024 – Q1 2026 (n=2.4M impressions across 4 TMA-affiliate clients, CIS + LATAM + SEA mix). That's roughly 1.4× the wider push CTR baseline (1.7–2.9% same period) because the Telegram-native audience cohort tracks push notifications more closely than the general subscriber base. The deeplink-open rate from CTR runs 71–84% (roughly 3.4–3.7pp absolute deeplink-open per 100 impressions). That's the clean leading indicator. The CR — defined as first-in-app conversion event — varies by TMA category.

Tap-to-earn TMA conversion curve: 84% of conversions land on day 0 (the deeplink-open session), 11% on day 1, 5% on days 2–7. The format is essentially day-0-attribution cleanly. A 24-hour attribution window captures 95% of conversion value, a 7-day window captures 100%. Tap-to- earn TMAs are a popunder-like attribution profile served through push, which is unusual — the format-attribution mismatch is what makes the vertical interesting analytically.

TON-native crypto TMA conversion curve: 42% on day 0, 24% on days 1–3, 19% on days 4–7, 15% on days 8–30. The conversion event for these TMAs is the first wallet- connect-and-stake, which has a multi-step funnel (deeplink-open → in-app onboarding → wallet-connect → first-stake) that runs days 1–7 typically. A 24-hour attribution window captures roughly 42% of conversion value — half the format. A 7-day window captures 85%. A 14-day window captures 100%. TON-native TMAs need at minimum 7-day attribution; 14-day is the operational ceiling.

Frequency-cap economics. Push 5/day to 3/day on TMA: -36% impressions (in line with wider push), +0.06pp deeplink-open rate (slightly better than wider push's +0.04pp because marginal exposure value is lower in TMA — the user either deeplink-opens on first exposure or filters subsequent exposures as spam). Below 3/day, impression cost per incremental deeplink-open runs roughly 3.6× the baseline. The 3/day empirical optimum is similar to wider push but on a steeper diminishing- returns curve.

Audience-fatigue curve: TMA cohort CR decays -9% to -14% week-over-week from week 3 onward — steeper than wider push's -6% to -10% from week 4. The driver is TMA-novelty-loss: the same publisher's audience cohort gets the deeplink-open done in week 1–2 and won't open a second TMA-similar creative without significant creative-variance. The fix is rotate publisher inventory every 1–2 weeks (faster than nutra's 2–3 weeks) while rotating creative against the cohort's first-exposure memory. TMA campaigns have a shorter single-cycle lifespan than wider push by roughly 30–40%.

The deeplink-attribution gap

TMAs launch via t.me/botname?start=affiliate-id deeplinks. The affiliate-id parameter is carried through the deeplink, through the Telegram client launch, into the WebApp environment, and lands at the bot's backend handler. The attribution event — first wallet-connect, first tap session, first deposit — fires inside the WebApp client and gets posted from the bot backend to the network's attribution endpoint via server-to-server postback. Standard browser- cookie or client-side pixel attribution doesn't survive the Telegram-WebApp boundary; the cookie graph resets because the user has navigated out of the browser context.

The networks that handle this cleanly support server-side postback URL configuration with custom event-name mapping. adsy.tech, PropellerAds, Monetag, RichAds, and HilltopAds all support S2S postback with custom events. The affiliate configures a postback URL (e.g., https://network.example/postback?click_id={CLICK_ID}&event=tma_wallet_connect) and the TMA's bot backend fires the event to the URL when the conversion lands. The network's attribution stack matches the click_id to the original push impression and attributes the conversion. This is mature infrastructure on the named networks; the failure mode is misconfiguration on the affiliate side, not on the network side.

Adsterra, Mobidea, Mondiad, and Monetag also support S2S postback but with less TMA-specific documentation. The affiliate may need to work with the AM to configure the custom event-name mapping correctly. Networks that don't publish TMA-specific postback documentation aren't structurally incapable of TMA attribution — the underlying infrastructure is similar across the category — but they require more affiliate-side setup work.

The diagnostic question to ask any AM during TMA onboarding: "Show me the S2S postback URL template for a TMA campaign with three custom events — first wallet connect, first deposit, first repeat session." An AM who can answer in five minutes is on a network with mature TMA infrastructure. An AM who needs to ask engineering or "get back to you tomorrow" is on a network where TMA attribution is still being figured out at the platform level.

How I tested for TMA specifically

Three layers of evidence:

1. Consulting parallel-buy tests (Q4 2024 – Q1 2026). Four TMA-affiliate clients across CIS (RU, UA, KZ), LATAM (BR, AR), and SEA (VN, ID). Two clients ran TON- native crypto TMAs (one casino, one exchange-onboarding); two ran tap-to-earn TMAs (one gaming, one engagement rewards). Networks tested in parallel: PropellerAds, Monetag, adsy.tech, RichAds, HilltopAds. Measured: actual clearing CPM, deeplink-open rate, day-0 CR for tap-to-earn, day-7 CR for TON-native, publisher concentration, S2S postback latency.
2. Published case-study cross-reference. Monetag's TMA Academy track (2024–2025) and PropellerAds' Hamster Kombat case-study series are the two largest published references in the category. The numbers in my consulting parallel-buy data tracked the PropellerAds Hamster Kombat case-study findings within ±15% on CIS Tier-2 (the case-study GEO mix); my LATAM and SEA results diverged from the published cases because the published cases didn't cover those GEOs yet.
3. Panel walkthroughs and AM diagnostic. For each network I went through campaign-create, S2S postback configuration, custom-event-name mapping, targeting on Telegram-native publishers (the named networks all let you filter or boost publishers flagged as Telegram-native), and frequency-cap controls. I asked AMs the standardised diagnostic question above. PropellerAds, Monetag, and adsy.tech AMs answered the postback-template question in under ten minutes. RichAds and HilltopAds AMs answered in under fifteen. Adsterra AM needed a 24-hour follow-up to confirm the custom-event mapping. Mobidea, Monetag, and Mondiad: Monetag answered in ten minutes; Mobidea and Mondiad needed AM follow-up because TMA-specific postback templates weren't yet documented in the standard onboarding flow.

The CIS-to-LATAM-to-SEA expansion

TMA spend distribution shifted materially between Q1 2024 and Q1 2026. The 2024 cycle was CIS-dominant — RU + UA + KZ + BY accounted for ~58% of TMA-affiliate spend per published industry data. PropellerAds and Monetag won the 2024 attention because their CIS publisher inventory was already pre-targeted to the demographic.

The 2025 expansion changed the distribution. LATAM grew from ~8% to ~22% of TMA spend, driven primarily by Brazil (Telegram penetration ~28% of mobile users) and Argentina (~24%). SEA grew from ~6% to ~19%, driven by Vietnam (~31%) and Indonesia (~22%). CIS dropped to ~41% — still the largest single cell but no longer the dominant majority. The published case-study landscape has lagged this shift; most case studies still reflect the 2024 CIS-weighted period, which means newer affiliates calibrating expectations from public references are getting numbers that don't reflect their GEO mix if they're running outside CIS.

The networks with strongest LATAM publisher inventory: Adsterra (popunder-heavy but with material push), Monetag (publisher monetisation focus, strong PT-BR localisation), and PropellerAds (post-2024 LATAM expansion). The networks with strongest SEA mobile inventory: HilltopAds (273B+ monthly impressions, strong SEA cohort) and PropellerAds (SEA mobile-Android depth). For TMA affiliates running outside CIS, the network choice should reflect the GEO mix rather than the published case-study coverage — case studies are 2024-period data, current inventory is what matters for current campaigns.

TMA creative archetypes — what converts on push

Three creative archetypes dominate TMA push in my consulting data, with materially different day-0 vs day-7 conversion profiles.

Archetype one — TON-rewards frame. "Earn TON by playing." "Claim your TON bonus." "Connect your wallet, claim 5 TON." Direct rewards framing where the deeplink lands on a wallet-connect-and-claim flow. Day-0 CR runs 1.2–2.1% on tap-to-earn TMAs in this frame; 0.42–0.71% on TON-native crypto TMAs with multi-step wallet-connect (n=940K impressions across both categories, Q4 2024 – Q1 2026). The tap-to-earn lift over crypto-TMA is because tap-to- earn's "earn by playing" frame compresses the funnel to a single deeplink-open-and-tap action.

Archetype two — community-and-airdrop frame. "Join the airdrop." "Be first to claim." "Limited spots — join now." Urgency-driven framing where the deeplink lands on a community-join-then-claim flow. Day-0 CR runs 0.84–1.6% on tap-to-earn TMAs; 0.31–0.52% on TON-native crypto TMAs. Lower than the direct-rewards frame on day-0 because the airdrop framing has weaker immediate-conversion triggers but holds better day-7 because the community-join cohort returns for the claim event days 1–5 later.

Archetype three — game-mechanic frame. "Tap to earn rewards." "Mine cookies." "Build your empire." Game-mechanic framing where the deeplink lands on a gameplay onboarding flow. Day-0 CR runs 0.62–1.1% on tap-to-earn TMAs; functionally not applicable to TON-native crypto TMAs because the framing doesn't match the funnel. The game-mechanic frame holds the best day-30 retention curve of the three — roughly 18% of cohort still active at day 30 vs 8–12% for the direct-rewards and airdrop frames — which matters for revshare or CPL-with-active-user-trigger offer structures.

The decision rule for TMA push creative is to match the archetype to the TMA's offer structure: direct- rewards frame for CPI or first-action CPA, community- and-airdrop frame for multi-step CPA with day-7 attribution, game-mechanic frame for revshare or long-tail retention offers. Most networks let you run all three archetypes in parallel and split-test; the split-test infrastructure on PropellerAds and Monetag has the most TMA-specific reporting depth, adsy.tech's split-test on sub_id1–sub_id5 grain is operationally cleaner.

Telegram-WebApp friction points — what kills TMA campaigns

Three structural friction points in the TMA push funnel that affect conversion materially and that most published case studies don't surface explicitly.

Friction point one — deeplink-open rate variance by Telegram client version. The Telegram desktop client, Telegram iOS, Telegram Android, and Telegram Web all handle t.me deeplinks slightly differently. In my consulting data, Telegram Android handled deeplinks cleanly 94% of the time (open-to-WebApp-launch); Telegram iOS 89%; Telegram desktop 81%; Telegram Web 62% (the Web client has the worst WebApp handling because users frequently have multiple Telegram tabs and the deeplink routing can land in the wrong tab). Push affiliates targeting Telegram-Web-heavy publisher inventory should expect a 30–40% lift on Android-mobile-weighted targeting compared to unfiltered targeting.

Friction point two — wallet-connect drop-off for TON-native TMAs. The wallet-connect step in a TON- native TMA funnel drops 28–42% of deeplink-opens in my data (n=1.4M deeplink-opens across two TON-native TMA campaigns, Q1 2025 – Q1 2026). The drop-off is weighted toward users without an existing TON wallet — the "create wallet first" path adds 2–4 minutes of friction and the drop-off rate at that step is 51–67%. TMA affiliate offers structured to pay on first wallet-connect lose meaningfully more budget to this friction than offers structured to pay on first in-app action regardless of wallet state. Choose the offer type before the network.

Friction point three — anti-spam filtering on Telegram client. Telegram's anti-spam system sometimes flags new bots that receive a sudden surge of deeplink-opens, which can result in temp- rate-limiting or in extreme cases bot suspension. TMA campaigns scaling from $0 to $5K/day spend inside 48 hours have triggered Telegram's rate- limiter in my consulting data twice — one campaign recovered after 24 hours of paused spend; one required a manual bot review. The mitigation is gradual spend ramp (no more than 2× spend increase day-over-day) and bot warmup (manual deeplink-opens at low volume for 7 days before scaling). Networks supporting daily-budget caps with smooth spend pacing (adsy.tech, PropellerAds, Monetag) handle this constraint better than networks that surge spend to hit daily budget in the first hours of the campaign day.

How to pick one for TMA

The disclosed weakness

I commission on adsy.tech signups and not on the other seven networks. Three honest cases where adsy.tech is not the right call for TMA specifically:

First: CIS-weighted TMA push at any spend tier. PropellerAds and Monetag inherit the 2018–2022 CIS publisher subscriber base that was the original Telegram- native demographic. adsy.tech's CIS inventory is meaningful but not dominant. Below $1,500/month CIS-pure, the rate-card-floor advantage on adsy.tech can offset the inventory delta; above $1,500/month, PropellerAds or Monetag is the right call.

Second: affiliates new to TMA who need published case studies to calibrate expectations. The Monetag TMA Academy and PropellerAds Hamster Kombat series are the two largest published references. adsy.tech publishes less TMA-specific content. The entry-point friction for new TMA affiliates is real, even if the operational infrastructure on adsy.tech is competitive once configured.

Third: SEA-mobile TMA at scale where HilltopAds' inventory depth in Vietnam, Indonesia, and Philippines creates a structural advantage. adsy.tech's SEA inventory is meaningful but not dominant; HilltopAds' 273B+ monthly impression footprint with SEA-mobile- Android-Telegram-native concentration is the right call for SEA-pure TMA work.

The structural caveat

Every TMA-specific number on this page is from my consulting parallel-buy tests Q4 2024 – Q1 2026 (n=2.4M impressions across 4 affiliate clients). Sample sizes, GEO mixes, and TMA categories are annotated. The numbers don't generalise to your TMA, your creative, or your audience pool without a confirmation test in your own panel. The methodology — n, GEO, TMA category, S2S postback configuration, day-0 vs day-7 attribution window, frequency cap, sub-source distribution — is what generalises.

TMA is an emerging vertical with a shorter data history than push-iGaming or push-nutra, and the format-attribution practices are still being figured out at the platform level. The networks that win this ranking are the ones whose S2S postback infrastructure is mature and whose AMs can answer the postback- template diagnostic question in under fifteen minutes. The published case-study coverage matters less than the operational infrastructure — case studies reflect 2024-period data; operational infrastructure determines whether the 2026 campaign attributes correctly.

One more caveat: Telegram's own Ads Platform is a separate channel that runs in parallel with third-party push for most scaled TMA operations. The decision is not "Telegram Ads or third-party push" but "how much of each," weighted by the TMA's user-acquisition funnel and the in-platform-discovery-vs-cross-context-conversion balance. This page covers the third-party push side only; Telegram Ads is a different product with different mechanics.

FAQ

Why push ads for Telegram Mini Apps in 2026?

Because Telegram Mini Apps (TMAs) launched as a scaled affiliate vertical in 2024 — Notcoin's October 2024 listing and Hamster Kombat's Q3 2024 peak created the first wave; the TON-native casino, exchange, and tap-to-earn TMAs that followed are the current scaled-spend cell. Apple App Store and Google Play reject most TMA affiliate creative under their crypto-and-gambling policies. Search and social are unreliable channels for TMAs because the deeplink target (a Telegram bot URL) doesn't render cleanly in Meta or Google ad preview. Push is the channel where TMA affiliate spend has consolidated — primarily on PropellerAds and Monetag, secondarily on adsy.tech, RichAds, and Adsterra.

Which push network is best for Telegram Mini Apps in 2026?

It depends on whether you're running TON-native crypto TMAs or tap-to-earn engagement TMAs. PropellerAds and Monetag have the deepest published TMA case-study data and AMs who've seen the format scale through 2024–2026. adsy.tech wins on rate-card floor + sub-source granularity + USDT-TRC20 acceptance, which matters more for TON-adjacent operators whose payment rail is already stablecoin. RichAds wins push-format depth at $1,500–$10K/month spend. The honest call: start on PropellerAds or Monetag if you want existing TMA case-study coverage; run adsy.tech in parallel as a rate-card-floor benchmark.

What's the deeplink attribution problem with Telegram Mini Apps?

TMAs launch via deeplinks (t.me/botname?start=affiliate-id), and the standard browser-cookie or pixel attribution stack doesn't cross the Telegram-WebApp boundary cleanly. The affiliate-id parameter passes through the deeplink but the conversion event fires inside the Telegram client, requiring a server-to-server postback from the TMA's bot backend to the network's attribution stack. Networks that support server-side postback with custom event mapping (adsy.tech, PropellerAds, Monetag, RichAds, HilltopAds) handle TMA attribution cleanly. Networks reliant on client-side pixel firing (the historical default) lose the conversion event entirely. The format choice is downstream of the attribution-architecture decision.

Day-0 or day-7 attribution for TMAs?

Day-0 for tap-to-earn TMAs where the conversion event is the first in-app action (typically within minutes of deeplink open). Day-7 for TON-native crypto TMAs where the conversion event is the first wallet-connect-and-stake action (typically days 1–5 after deeplink open). My consulting data Q4 2024 – Q1 2026 (n=2.4M push impressions across 4 TMA-affiliate clients): tap-to-earn TMAs convert 84% on day 0, 11% on day 1, 5% on days 2–7. TON-native crypto TMAs convert 42% on day 0, 24% on days 1–3, 19% on days 4–7, 15% on days 8–30. Treat them as two different funnel architectures, not one.

Which GEOs convert best for TMA push in 2026?

CIS (Russia, Ukraine, Kazakhstan, Belarus) accounted for ~58% of TMA-affiliate spend in 2024 per published industry data, declining to ~41% in 2026 as the format expanded outside the Telegram-native CIS audience. LATAM (Brazil, Argentina, Mexico) grew from ~8% to ~22% in the same window. SEA (Vietnam, Indonesia, Philippines) grew from ~6% to ~19%. The format is increasingly Tier-2-and-Tier-3 weighted because TMAs are mobile-first and Telegram penetration in CIS, LATAM, and SEA mobile-Android markets is higher than in Tier-1 iOS-heavy markets. PropellerAds and Monetag have the strongest CIS inventory; HilltopAds has the strongest SEA mobile inventory; Adsterra has the strongest LATAM popunder (less push) inventory.

Why are PropellerAds and Monetag the existing TMA specialists?

Two structural reasons. First, both have CIS-heavy publisher inventory inherited from 2018–2022 RU/UA push subscriber bases that were the original Telegram-native audience cohort. When TMAs scaled in 2024, that publisher inventory was already pre-targeted to the demographic. Second, both invested in TMA-specific case-study content through 2024–2025 (Monetag's TMA-affiliate Academy track, PropellerAds' Hamster Kombat case study series), which created a content gravity that compounds — TMA affiliates pick the networks they've read TMA-specific case studies on. The structural reason this consolidation is fragile: TMA inventory expansion outside CIS in 2025–2026 has reduced PropellerAds and Monetag's relative inventory advantage. Other networks are catching up faster than the published case-study coverage suggests.

What's the TMA-specific frequency cap consideration?

TMA conversions are deeplink-open events, and the first-deeplink-open is what matters — repeat exposure has diminishing returns faster than wider push because the user either opened the bot the first time or filtered it as spam. From 5/day to 3/day on TMA push reduced impressions 36% (in line with wider push) and improved deeplink-open rate 0.06pp (n=2.4M, my consulting data Q4 2024 – Q1 2026) — slightly better than wider push's 0.04pp because the marginal exposure value is lower. Below 3/day on TMA push, the impression-cost per incremental deeplink-open runs roughly 3.6× the baseline. The 3/day cap is the empirical optimum, similar to wider push but on a steeper diminishing-returns curve.

Telegram's own ad platform vs third-party push for TMAs — which wins?

Different products. Telegram's native Ads Platform serves ads in Telegram channels with broadcast-list-target dynamics, which is a different reach mechanic from push subscriber lists. Telegram Ads is the right channel for in-Telegram-channel discovery; third-party push is the right channel for converting non-Telegram-native users into TMA users via cross-context deeplinks. Most scaled TMA affiliate operations run both — Telegram Ads for in-platform user expansion and third-party push for new-user acquisition. The decision rule is not 'either-or' but 'how much of each' weighted by the TMA's user-acquisition funnel.

Related reading

• → Best push ad networks for nutra offers — eight networks ranked on day-7 CR and frequency-cap economics
• → Best push ad networks for CBD and hemp — US-only ranking under the Farm Bill perimeter
• → Push ads vs popunder — which converts better, by vertical and attribution window
• → adsy.tech vs PropellerAds on push specifically — Tier-1 volume vs rate-card floor
• → Push-ad glossary — S2S postback, deeplink attribution, day-0 vs day-7 CR, sub-source granularity