Managing Telegram Ads at scale is a fundamentally different challenge from running a handful of campaigns. When you have 15, 35, or 50 ad cabinets, the native Telegram Ads Manager becomes the bottleneck — not the advertising itself. These four case studies show how real teams solved that problem with ADSLY, cutting operational time by 60%+ and improving campaign performance through automation, bulk operations, and hourly analytics.
Table of Contents
- 1. Case Study: Crypto Agency — 35 Cabinets, $45K/month
- 2. Case Study: iGaming Traffic Team — 15 Cabinets, $20K/month
- 3. Case Study: E-Commerce Brand — 8 Cabinets, $12K/month
- 4. Case Study: Financial Education — 5 Cabinets, $8K/month
- 5. Key Takeaways Across All Case Studies
- 6. Your Turn
- 7. FAQ
1. Case Study: Crypto Agency — 35 Cabinets, $45K/month Spend
The Challenge
A crypto-focused media buying agency managing 35 client cabinets with 3 media buyers. The native Telegram Ads Manager requires a separate login for each cabinet — meaning the team was spending 4+ hours daily just on routine operations: logging in and out, checking campaign statuses, adjusting bids, and monitoring budgets across all accounts. With no unified dashboard, overspend incidents were happening weekly because no one could monitor all 35 cabinets simultaneously.
The Solution
The agency switched to the ADSLY Agency plan and connected all 35 cabinets to a single dashboard. Each media buyer was assigned specific cabinets through team access controls. IF/THEN automation rules were set up to auto-pause campaigns when daily spend exceeded budget caps, and bulk CPM adjustments replaced the one-by-one bid changes that consumed hours.
Results
The agency scaled from 35 to 50 cabinets without adding headcount. Automation caught every potential overspend incident that manual monitoring had missed. The 22% CPM reduction came from bulk optimization — adjusting bids across all campaigns simultaneously based on performance data, rather than tweaking them individually.
2. Case Study: iGaming Traffic Team — 15 Cabinets, $20K/month
The Challenge
An iGaming traffic team running campaigns across 15 cabinets faced a unique problem: a 40%+ ad rejection rate. In high-risk verticals like iGaming, Telegram’s moderation system declines a significant portion of campaigns. Each declined campaign meant manual recreation — rewriting copy, re-submitting, waiting for review. With 40% of campaigns getting declined, one media buyer was spending their entire day just recreating rejected ads. It was a full-time job that produced zero incremental value.
The Solution
The team leveraged ADSLY’s moderation expertise in high-risk niches and AI text generation to craft compliant ad variations. When a campaign was declined, the team quickly recreated it with alternative copy that avoided the specific trigger phrases. Additionally, automation rules were configured for professional campaign management — automatically adjusting bids, pausing underperformers, and scaling winners based on IF/THEN conditions.
Results
The 73% decline recovery rate meant that nearly 3 out of 4 rejected campaigns were automatically recovered with new copy. Daily active campaigns nearly tripled (45 to 120) because the system was recovering campaigns faster than moderation could decline them. The CPA decrease of 28% was a direct result of having more active campaigns — more campaigns meant more data for optimization and better audience coverage.
3. Case Study: E-Commerce Brand — 8 Cabinets, $12K/month
The Challenge
A seasonal e-commerce brand needed to launch 200+ campaigns for major sales events (Black Friday, holiday sales, seasonal collections) and then pause everything once the event ended. Using the native Telegram Ads Manager, this process took 2 full days of manual work: creating each campaign individually, setting targeting, writing copy, submitting for moderation, then pausing them all one by one when the sale ended. With 8 cabinets across different regions, the repetition was staggering.
The Solution
ADSLY’s bulk campaign creation allowed the team to create campaign templates and duplicate them across all 8 cabinets with region-specific targeting in a single operation. Mass pause/resume functionality meant that all 200+ campaigns could be paused with one click when a sale ended, and reactivated just as quickly for the next event.
Results
The 40x ROI calculation: the ADSLY subscription cost approximately $125/month (Pro plan), while the alternative — hiring a virtual assistant to handle the manual campaign creation and management — would have cost $5,000+/month in labor. The time savings compounded during peak sales periods when the team needed to launch, adjust, and pause campaigns multiple times per week.
Beyond the raw time savings, the speed advantage had a direct revenue impact. During their winter holiday sale, the team was able to launch campaigns on the same day the sale went live — capturing the initial surge of buyer intent. Previously, by the time all campaigns were manually created and approved (2 days), the peak buying window had already passed.
4. Case Study: Financial Education — 5 Cabinets, $8K/month
The Challenge
A financial education company running courses and webinars needed granular analytics to optimize their ad spend. The native Telegram Ads Manager only shows daily aggregate data — you can see how a campaign performed yesterday, but not which hours were best. The team suspected that their audience (working professionals interested in investing) was most active in the evening, but had no way to confirm or act on this hypothesis. They were spending $8K/month with flat 24/7 bidding, essentially wasting budget during hours when their target audience was asleep or at work.
The Solution
ADSLY’s hourly analytics dashboard provided the granular performance data the team needed. Within the first two weeks, they identified that 70% of their conversions (course signups) happened between 6:00 PM and 9:00 PM local time. They restructured their bidding strategy to concentrate budget on these peak hours, reducing bids during dead hours and increasing them during the evening window.
Results
By concentrating 70% of their $8K monthly budget on the 6–9 PM window, the team achieved 35% higher CTR (their audience was actually online and engaged) and 18% lower CPM (less competition during evening hours compared to the broad daytime auction). The net effect: more course signups at a lower cost per acquisition, without increasing total spend.
5. Key Takeaways Across All Case Studies
Despite operating in different verticals with different budgets, all four case studies share common patterns:
| Pattern | Average Improvement | Primary Driver |
|---|---|---|
| Operational Time Saved | 60% average | Multi-cabinet dashboard, bulk operations |
| Lower CPM / Cost Efficiency | 15–25% | Bulk optimization, hourly analytics, data-driven CPM optimization |
| Campaign Recovery (High-Risk) | Significant recovery rate | Moderation expertise, AI text generation |
| Scalability | Scale without new hires | Automation rules, team access controls |
| Campaign Launch Speed | 10x faster | Templates, bulk creation, mass pause/resume |
The Compounding Effect
What these case studies demonstrate is that the value of a Telegram Ads management platform compounds across multiple dimensions. Time saved on operations gets reinvested in strategy. Automation prevents budget waste. Hourly analytics enables smarter bidding. And the ability to scale without adding headcount means the per-campaign cost of management decreases as you grow. An agency managing 50 cabinets on ADSLY has a fundamentally different cost structure than one managing 50 cabinets through native Telegram Ads Manager.
6. Your Turn
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7. Frequently Asked Questions
Are these real Telegram Ads results?
These case studies are based on aggregated platform data and represent typical outcomes for ADSLY users in each vertical. Specific numbers reflect real performance patterns observed across 159,000+ campaigns. Individual results vary based on niche, budget, creative quality, and campaign maturity. We present realistic scenarios rather than cherry-picked outliers.
Can I get similar Telegram Ads results for my business?
Results depend on your vertical, budget, and how many cabinets you manage. The patterns are consistent: multi-cabinet management saves 50–70% of operational time, automation rules prevent overspend, and bulk operations dramatically speed up campaign launches. Agencies managing 10+ cabinets and teams spending $10K+/month typically see the strongest improvements because they have the most manual work to automate.
How long until I see improvement with ADSLY?
Time savings are immediate — from day one, you can manage all cabinets from a single dashboard instead of logging in and out of native Telegram Ads Manager. Automation benefits (IF/THEN rules, auto-pause, decline recovery) kick in within the first week once you configure your rules. CPM optimization through hourly analytics typically shows measurable results within 2–3 weeks as you identify peak performance hours and adjust bidding accordingly.
Do I need the Agency plan to get these results?
Not necessarily. The Agency plan is designed for teams managing 10+ cabinets with multiple team members who need role-based access. If you manage fewer than 10 cabinets solo, the Pro plan includes all core features: multi-cabinet dashboard, automation rules, hourly analytics, and AI tools. The case studies from e-commerce (8 cabinets) and financial education (5 cabinets) were achievable on the Pro plan.
What if I have fewer cabinets than the case studies?
Even with a single cabinet, ADSLY provides value through hourly analytics (not available in native Telegram Ads), automation rules for auto-pause and budget control, AI text generation for ad copy, and bulk campaign creation. The ROI scales with the number of cabinets and campaigns — more cabinets mean more time saved — but the core benefits apply at any scale. Many users start with 1–3 cabinets and expand as they see results.
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