
Ad reporting automation: how to pull Telegram Ads, Meta, and Google data into one dashboard
How founders and growth teams stop logging into three ad cabinets every morning and build a unified operational analytics layer.
If you run acquisition across Telegram Ads, Meta, and Google at the same time, jumping between tabs every morning to check spend is a massive time sink. In our team's work managing large Telegram channels and performance campaigns, manual reporting leads to stale numbers and human errors. This guide shows you how to set up an automated ETL pipeline (extract, transform, load) that pulls metrics from all three ad platforms into a single operational dashboard.
- A clean reporting architecture relies on four steps: data sources, an ETL pipeline, a database, and your dashboard.
- Meta and Google hook up easily via native APIs, whereas Telegram Ads often requires browser scripts or specialized platforms.
- Always convert Toncoin (TON) and fiat values into one base currency inside your database before running performance calculations.
- Automating your ad reporting eliminates manual data entry and updates your numbers on a reliable 1-to-4-hour schedule.
The Architecture of an Ad Reporting Pipeline
When we build reporting setups, we break the system down into four clean layers so nothing breaks when platforms update. Your Data Sources come first: the accounts where campaigns run (Telegram Ads, Meta Marketing API, and Google Ads API). Next comes the ETL layer (extract, transform, load)—a background tool or script, often built in n8n or Python, that pulls metrics automatically. You rarely need real-time data for ad costs, so syncing every 1 to 4 hours is standard practice. The transformed data then lands in a Data Warehouse like Google BigQuery or PostgreSQL, before feeding your Visualization Layer inside Looker Studio or Tableau.
- Data Sources: Your ad cabinets and native marketing APIs
- ETL Pipeline: Scheduled scripts that pull and clean incoming data
- Data Warehouse: Central storage like BigQuery or PostgreSQL
- Dashboard UI: Looker Studio or Tableau for business analytics
Connecting Meta, Google, and Telegram Ads
Connecting Meta and Google is straightforward because both offer mature APIs and ready-made connectors for Looker Studio, Supermetrics, or Airbyte. Telegram Ads requires a bit more work. Historically, Telegram's self-serve platform lacked open granular APIs for multi-account reporting, forcing teams to rely on manual CSV downloads or browser extensions. Dedicated automation tools like growity.ai and Adstat.pro help solve this by organizing ad data into clean, structured feeds you can stream into your data warehouse.
- Meta and Google offer robust official marketing APIs
- Telegram Ads historically required manual CSVs or extensions
- Specialized tools like growity.ai and Adstat.pro automate Telegram data
| Platform | Pricing Model | Average CTR Benchmark | Tooling Cost |
|---|---|---|---|
| Telegram Ads | CPM in Toncoin (TON) | 0.5% - 2.0% | Free to custom tools |
| Meta Ads | CPC / CPM / CPA auction | 0.9% - 1.5% | $39 - $500+/month for connectors |
| Google Ads | CPC / CPM auction | 4% - 6% (Search) | Bundled in multi-source connectors |
Platform Limits and Rules to Keep in Mind
Platform terms and regional advertising regulations update frequently, so keep your setups flexible. For instance, Telegram Ads enforces tight copy constraints: a maximum of 160 characters, one text block, and a single button link that must remain inside Telegram (pointing to public channels, posts, or bots). Once a Telegram ad is published, you cannot edit its targeting parameters—you must duplicate the creative to make changes. Meanwhile, Meta and Google rely heavily on automated creative review and impose strict API rate limits, meaning your ETL scripts need built-in retry logic.
- Telegram ads limit copy to 160 characters and one button link
- Destination URLs must stay strictly inside the Telegram ecosystem
- Live Telegram ad targeting cannot be modified; you must duplicate the ad
Typical Mistakes to Avoid in Multi-Channel Reporting
The single biggest mistake we see is ignoring currency differences. Telegram Ads bills in Toncoin (TON), Meta charges in fiat like USD or EUR, and Google Ads operates in your account's primary currency. If you sum raw values without converting them to a unified base currency inside your database, your acquisition math becomes useless. Another major oversight is relying solely on standard web UTM parameters for Telegram traffic, which hides user activity inside channels and bots.
- Mixing Toncoin and fiat values without database currency conversion
- Relying strictly on web UTM tags for messenger acquisition
- Depending on manual weekly CSV pulls that lead to outdated decisions
Step by step
List the core metrics you want across every channel (spend, impressions, clicks, conversions, CPA) and pick one single base currency for database math.
Use connectors like Supermetrics or Airbyte—or write custom API scripts—to pipe Meta Marketing and Google Ads metrics directly into your warehouse.
Automate Telegram ad ingestion using browser automation, custom scripts, or platforms like growity.ai and Adstat.pro.
Write SQL views inside BigQuery or PostgreSQL to clean field names, normalize schemas, and apply daily currency conversion rates.
Link Looker Studio or Tableau to your SQL views and set up automated daily reporting for your management team.
Common mistakes
Want to automate ad reporting across your channels and marketing campaigns? Let's discuss a custom analytics setup built for your tech stack.
Message on Telegram →FAQ
How do I pull Telegram Ads data into Looker Studio?
Since native self-serve API options for Telegram Ads have historically been limited, you can export daily data via browser automation or use specialized tools like growity.ai and Adstat.pro to pipe clean tables into BigQuery, which connects directly to Looker Studio.
What is the standard sync interval for ad reporting pipelines?
Ad networks usually delay cost and conversion processing by a few hours. In practice, setting up background syncs every 1 to 4 hours provides fresh operational numbers without exceeding API usage limits.
How do I handle different ad currencies like Toncoin and USD?
You normalize values during the ETL process inside your database. Fetch daily exchange rates for Toncoin (TON) and fiat currencies, then use SQL logic to convert all spend into a single base currency before loading it into your dashboard.
Can I edit targeting parameters on a live Telegram ad?
No, Telegram Ads does not allow editing targeting settings on a campaign after creation. You must duplicate the ad, adjust the targeting options on the copy, and submit it as a new campaign.
Sources
Blog articles are produced by Andrii Slobodian's editorial team with AI tools: research, drafting and fact-checking are automated; the editorial policy and practical conclusions are set by the author. AI never publishes directly — there is always a human editor between AI and publication. Spotted an error? Message us on Telegram.

An AI Analytics Agent: Automated Reports on Channels, Ads, and Sales
Learn how an AI analytics agent connects channels, ad accounts, and CRMs to automate reports and flag metric anomalies without manual data pulls.

AI for media buying: placement and analysis automation
Learn how AI automates ad placement selection and campaign analysis to scale your ad performance cleanly.

How to Use TGStat and Telemetr to Find Profitable Ad Placements and Spy on Competitors
Learn how to use TGStat and Telemetr to spot view-bots, analyze competitor campaigns, and find high-converting Telegram ad placements based on real practice.

An AI Marketing Agent: Running Creative Tests and Reports on Autopilot
Learn how an autonomous AI marketing agent handles creative A/B tests, data monitoring, and performance reporting without manual bottlenecks.
