The Managed Service Advantage: Real ROI Case Studies

Managed Telegram Ads services deliver measurable ROI improvements: 35-45% higher CTR, 25-40% lower CPA, and 95%+ moderation approval rates versus 70-80% for DIY management. Real case studies show a crypto exchange achieving -60% CPA reduction, an eCommerce brand gaining +300% ROAS, and a SaaS company acquiring users at $3.20 per signup.

Table of Contents

1. 1. What Results Can You Realistically Expect From Managed Telegram Ads?
2. 2. Case Study #1: Crypto Exchange — From $12 CPA to $4.80
3. 3. Case Study #2: E-Commerce Brand — 3x ROAS in 6 Weeks
4. 4. Case Study #3: SaaS Product — 400 Trial Signups at $3.20 Each
5. 5. Case Study #4: Betting Platform — Passed Moderation in 24 Hours
6. 6. What Makes Managed Campaigns Outperform DIY?
7. 7. How Much Does the Managed Service Cost vs What It Returns?
8. 8. FAQ

1. What Results Can You Realistically Expect From Managed Telegram Ads?

Before diving into individual case studies, here is the baseline. These are the average improvements managed campaigns achieve compared to self-managed campaigns on the ADSLY platform, based on aggregated data from Q3 2025 through Q1 2026.

These are averages across all niches and budget levels. Individual results vary — high-risk niches like crypto and betting see larger improvements, while low-risk niches like news and education see smaller but still meaningful gains. The following case studies illustrate what these numbers look like in practice.

2. Case Study #1: Crypto Exchange — From $12 CPA to $4.80

The Advertiser

A mid-size crypto exchange operating in Southeast Asia and the Middle East, targeting new user registrations. Monthly ad budget: $15,000–$20,000. Primary cabinet: TON (no geo-targeting available, channel-based targeting only).

The Problem

Before switching to managed service, this advertiser was running campaigns themselves through the native Telegram Ads Manager. The results were frustrating:

• CPA of $12.00 per registration — well above their target of $6.00
• 52% moderation approval rate — nearly half of all campaigns were getting declined due to crypto-related compliance triggers
• CTR of 0.41% — generic ad copy was not resonating with the crypto audience
• 3–4 hours daily spent rewriting declined ads, adjusting CPM bids, and searching for channels manually

What the Managed Service Changed

1. Moderation-first creative strategy. The managed team rewrote all ad copy using pre-tested templates that avoid crypto-specific trigger phrases on TON cabinets. Approval rate jumped from 52% to 94% within the first week.
2. Channel intelligence. Instead of targeting broad crypto channels (high competition, inflated CPMs), the team identified 40+ niche channels in DeFi education, TON ecosystem news, and regional crypto communities. Average CPM dropped from $3.90 to $2.60.
3. Data-driven CPM optimization. Bid management adjusted CPMs every 2 hours based on real-time auction data, capturing cheaper inventory during off-peak hours (early morning and late evening in target regions).
4. Fast decline recovery. The 6% that still got declined were quickly recreated with alternative copy variations using AI text generation and bulk tools.

3. Case Study #2: E-Commerce Brand — 3x ROAS in 6 Weeks

The Advertiser

A European fashion brand selling direct-to-consumer through their Telegram Mini App and website. Monthly ad budget: $8,000–$12,000. Primary cabinet: Euro (geo-targeting available, human moderation).

The Problem

The brand had been running Telegram Ads for 4 months with a marketing intern managing campaigns. Results were underwhelming:

• ROAS of 1.1x — barely breaking even on ad spend
• 76% moderation approval rate — Euro cabinets with human moderators were rejecting ads for vague "compliance" reasons the team could not decipher
• No hourly optimization — campaigns ran 24/7 with flat CPM bids, wasting budget during low-conversion hours
• Targeting only 8 fashion channels — limited reach, high frequency, ad fatigue setting in

What the Managed Service Changed

1. Geo + channel layered targeting. The Euro cabinet allows geo-targeting, which the team combined with channel targeting. Instead of broad "fashion" channels, they identified 35 lifestyle, beauty, and shopping channels in Germany, France, and Italy where the brand had the strongest conversion rates.
2. Time-of-day bid optimization. Hourly analytics revealed that 68% of purchases happened between 10:00–14:00 and 19:00–22:00 local time. CPM bids were increased by 30% during these windows and reduced by 50% overnight, improving budget efficiency by 40%.
3. Creative rotation with AI text generation. Instead of 3 static ad variants, the team deployed 15 AI-generated variations per channel, rotating weekly. CTR increased from 0.58% to 0.92% as the system identified which copy angles resonated with each channel's audience.
4. Moderation compliance for Euro. Human moderators on Euro cabinets follow stricter guidelines. The managed team restructured all ad copy to avoid promotional language that triggers manual reviews, cutting review time from 8–12 hours to 2–4 hours and raising approval to 97%.

The most striking improvement was in budget efficiency. By concentrating spend on high-conversion hours and expanding to 35 channels (from 8), the brand reached 4x more unique users while spending only 25% more. The combination of smarter targeting and time-of-day bidding was responsible for roughly 60% of the ROAS improvement.

4. Case Study #3: SaaS Product — 400 Trial Signups at $3.20 Each

The Advertiser

A B2B SaaS company offering a project management tool, targeting freelancers and small teams in English-speaking markets. Monthly ad budget: $5,000. Primary cabinet: Stars (automated AI moderation, most lenient).

The Problem

The SaaS company was new to Telegram Ads and had no prior experience with the platform. Their first 30 days of DIY management produced disappointing results:

• CPA of $9.50 per trial signup — their target was $5.00 based on trial-to-paid conversion rates
• Only 12 active campaigns — they did not know how to scale beyond a handful of channels
• 83% approval rate — decent for Stars, but the 17% rejections were costing time and momentum
• Generic positioning — ad copy focused on features ("Kanban boards, Gantt charts, time tracking") rather than outcomes

What the Managed Service Changed

1. Outcome-focused creative. The managed team rewrote all ad copy to focus on pain points rather than features: "Stop losing tasks in chat. Track everything in one place." This simple shift increased CTR from 0.64% to 1.15%.
2. Stars cabinet optimization. Stars cabinets have the most lenient AI moderation but different auction dynamics than TON. The team optimized CPM bids specifically for Stars pricing, achieving an average CPM of $1.80 compared to the advertiser's original $2.90.
3. Massive channel expansion. Using the ADSLY channel database, the team identified 85 channels in productivity, freelancing, startup, and remote work niches. Campaign count went from 12 to 65 within 10 days.
4. Automation rules for budget efficiency. IF/THEN rules automatically paused campaigns with CTR below 0.5% after 5,000 views and increased budget on campaigns exceeding 1.5% CTR. This self-optimizing approach reallocated spend to winners continuously.

5. Case Study #4: Betting Platform — Passed Moderation in 24 Hours

The Advertiser

A licensed sports betting platform targeting CIS and Southeast Asian markets. Monthly ad budget: $25,000. Primary cabinet: TON (faster moderation for rapid iteration).

The Problem

Betting is one of the hardest niches on Telegram Ads. This advertiser had tried three different approaches over 2 months, all unsuccessfully:

• 38% moderation approval rate — nearly two-thirds of campaigns were declined, some after waiting hours in the review queue
• $18.40 effective CPA — when factoring in the cost of declined campaigns (ad creation time, missed market timing), actual cost per depositing user was astronomical
• Two freelancers hired and fired — neither had specific betting-niche experience on Telegram Ads
• Zero active campaigns at the point of switching — the team had effectively given up after a month of continuous rejections

What the Managed Service Changed

1. Betting-specific moderation playbook. The managed team applied a proprietary copy framework for betting that avoids direct references to odds, guaranteed winnings, and bonus claims — the three most common trigger phrases. Instead, ads focused on sports content and community engagement, funneling users to the platform organically.
2. Multi-cabinet strategy. Instead of relying solely on TON, the team split campaigns across TON (speed) and Stars (leniency). Stars cabinets accepted copy that TON rejected, providing a fallback that kept campaigns running while TON submissions were iterated.
3. First campaign approved within 24 hours. The managed team submitted 15 pre-optimized campaigns on day one. 14 were approved on the first submission — a 93% approval rate in a niche that typically sees 38%.
4. Continuous creative refresh. Betting ads fatigue faster than other niches. The team rotated creative weekly, using event-driven copy tied to major sports events (Premier League, NBA, cricket tournaments) to maintain relevance and CTR.

The betting case study is the most dramatic example of moderation expertise driving ROI. Without the ability to consistently pass moderation, no amount of creative optimization or bid management matters — you simply cannot run campaigns. The managed service's value proposition for betting was existential: the advertiser went from zero active campaigns to 3,260 monthly depositing users.

6. What Makes Managed Campaigns Outperform DIY?

Across all four case studies and the broader platform data, five factors consistently separate managed campaign performance from DIY:

Factor 1: Moderation Expertise

This is the single highest-impact factor. Managed campaigns achieve 95%+ approval rates versus 71% for self-managed campaigns. The 24-percentage-point gap means managed advertisers have roughly one-third more active campaigns at any given time, generating more data for optimization and more opportunities for conversions.

The impact is even larger in restricted niches. In crypto, the managed vs. DIY approval gap is 42 percentage points (94% vs. 52%). In betting, it is 53 percentage points (91% vs. 38%).

Factor 2: Channel Data and Targeting

Managed services operate across hundreds of advertiser accounts, giving them access to performance data on thousands of channels. This shared intelligence allows them to recommend channels with high relevance and low competition that individual advertisers would never discover on their own. The SaaS case study is a clear example: going from 12 to 65 campaigns by tapping into the platform's channel database drove the majority of volume growth.

Factor 3: Creative Optimization at Scale

AI-generated ad copy variations, tested across dozens of channels, produce insights that manual A/B testing cannot match in speed or scale. Managed campaigns typically run 10–20 creative variations per channel, while DIY advertisers run 2–3. More variations mean faster identification of winning messages and higher average CTR.

Factor 4: Daily Bid Management

Telegram Ads auction dynamics change throughout the day. Managed services use data-driven CPM optimization that adjusts bids every 1–2 hours based on real-time competition and conversion data. The e-commerce case study showed how time-of-day bidding alone improved budget efficiency by 40%. DIY advertisers typically set a CPM and check it once or twice daily — missing opportunities to capture cheaper inventory during off-peak hours.

Factor 5: AI Tools Working Together

Individual tools — data-driven CPM optimization, AI text generation, bulk operations, automation rules — each provide incremental improvements. But their compound effect is significant. When a declined ad is recreated with new copy, re-submitted, approved, and then optimized with data-driven bidding, all within hours, the speed advantage over manual management is substantial. Our data shows that professionally managed campaigns outperform manually managed campaigns by 31% in cost-per-join efficiency.

7. How Much Does the Managed Service Cost vs What It Returns?

The managed service pricing is straightforward: $500/month base fee plus 10% of ad spend. Here is what the ROI calculation looks like at different budget levels, using the average performance improvements from our platform data.

The math is straightforward: at any budget level above $3,000/month, the managed service pays for itself if it achieves even half of the average performance improvement. For restricted niches (crypto, betting), where moderation expertise has the highest impact, the break-even point is even lower — around $2,000/month.

When the Managed Service Does Not Pay For Itself

To be transparent: managed service is not the right fit for everyone.

8. Frequently Asked Questions

What ROI can I realistically expect from managed Telegram Ads?

Based on aggregated data from 300+ advertisers on the ADSLY platform, managed campaigns typically achieve 35–45% higher CTR, 25–40% lower CPA, and 95%+ moderation approval rates compared to self-managed campaigns. Actual results vary by niche, budget, and campaign maturity. Crypto and betting niches tend to see the largest improvements due to moderation complexity, while SaaS and eCommerce see more modest but consistent gains.

How long does it take to see results from a managed Telegram Ads service?

Most advertisers see measurable improvements within the first 2–3 weeks. The initial phase focuses on moderation optimization and channel testing. By week 4–6, the managed service has enough performance data to optimize CPM bids and creative rotation effectively. Full optimization typically stabilizes around week 8–10, after which improvements become incremental rather than dramatic.

Is managed Telegram Ads service worth it for small budgets under $3,000/month?

For budgets under $3,000/month in low-moderation niches (SaaS, eCommerce, education), a self-service platform with automation tools is usually more cost-effective. However, for small budgets in high-rejection niches (crypto, betting, pharma), the managed service can still pay for itself because moderation expertise alone prevents thousands in wasted ad spend from rejected campaigns.

What is the difference between managed service results and agency results?

Managed services that combine AI automation with human expertise typically deliver 15–25% better cost efficiency than traditional agencies. The advantage comes from 24/7 automated monitoring, AI-driven CPM optimization, and data from thousands of campaigns informing creative and targeting decisions. Traditional agencies rely more heavily on manual optimization during business hours, which limits reaction time to auction changes.

Can managed Telegram Ads help with moderation in restricted niches like crypto and betting?

Yes, moderation expertise is one of the strongest advantages of managed services in restricted niches. Self-managed crypto campaigns typically see 40–55% approval rates, while managed campaigns achieve 90–96% approval. For betting, the gap is even wider. Managed services maintain libraries of pre-approved copy patterns, know which claims trigger rejections per cabinet type, and use AI auto-recreate to recover declined campaigns with a 47% first-attempt success rate.