End-to-end automation from data extraction to client-ready summaries and alerts.
The AI agent automatically pulls campaign data from the Meta Ads API and writes it to per-client Google Sheets. It then aggregates totals and generates a concise performance summary. When data updates, the agent sends a Telegram alert with highlights and a direct link to the updated report.
Per-client data loading, transformation, and notification.
Read the client register from Google Sheets.
Fetch campaign metrics from the Meta Ads API.
Split campaigns into individual, row-ready records.
Append each campaign row to the client's Google Sheet.
Calculate aggregated metrics and diagnostics.
Notify via Telegram with a summary, highlights, and report link.
Automates the end-to-end reporting workflow. Reduces manual steps and human error.
A simple 3-step flow that handles data from pull to alert.
The AI agent runs on a defined schedule (daily or weekly) to start the workflow.
It loads clients from Google Sheets, calls the Meta Ads Insights API for each account, and merges results with client context.
It appends per-campaign rows to each client's Google Sheet, computes totals and diagnostics, then sends a Telegram summary with a link to the updated report.
A realistic scenario showing task, time, and outcome.
Scenario: An agency manages 3 client accounts. At 9:00 AM daily, the AI agent pulls the latest Meta Ads performance, appends rows to each client’s Google Sheet, and computes a new executive summary. It then sends a Telegram message with total spend, impressions, clicks, CTR, and a link to each client’s report. Outcome: All client reports are up-to-date, and stakeholders receive a concise brief with concrete highlights each morning.
Roles that gain clarity from automated ad reporting.
Need consistent, client-ready reports and quick turnaround.
Require centralized visibility over campaigns across accounts.
Benefit from automated data pulls and standardized reporting formats.
Need up-to-date metrics to inform client conversations.
Prefer a scalable, auditable reporting process.
Appreciate structured data ready for deeper analysis.
Key tools the AI agent uses to automate reporting.
Reads the client register and appends per-campaign rows to each client sheet.
Fetches campaign-level metrics and returns structured data for reporting.
Sends a summarized alert with metrics, highlights, and report links.
Practical scenarios where this AI agent adds value.
Common concerns and setup questions answered.
The agent accesses the Meta Ads API for campaign performance and Google Sheets for client registers and per-client reports. It operates on a permissioned basis, with tokens stored securely and not embedded in nodes. Access is restricted to the necessary scopes, and audit logging is enabled to track data usage. You can rotate tokens and revoke access at any time. The agent only reads data required for reporting and writing to the designated sheets, ensuring a minimal data footprint.
Yes. Data is accessed through secure APIs with standard OAuth-like token handling. Credentials are stored in encrypted form and never exposed in logs. The Telegram notifications are sent to secured chats, and links to reports are protected by Google Sheet permissions. You can configure IP restrictions and token lifetimes to match your security policies.
Yes. The agent supports adding conversions, ROAS, or other metrics from the Meta Ads API. Thresholds for status diagnostics (CTR and CPC) can be adjusted in configuration. You can tune the report layout by modifying the data transforms and the fields written to sheets. Changes apply to all managed clients once deployed.
The run frequency is defined by you (daily or weekly). Each run processes all configured clients, retrieves the latest data, and updates the per-client sheets. Depending on the number of accounts, a run can complete within minutes to an hour. The Telegram summary is generated after the data is written to Google Sheets.
If there is no data for a given period, the AI agent skips that account for the run while continuing with others. It still sends a notification with a status update indicating no new data and highlights any accounts that require attention. This avoids false alarms and keeps clients informed about data availability.
Yes. The agent processes a client register with one row per client. For each row, it fetches account metrics, formats them, and appends to that client’s sheet. It maintains isolated contexts per client to prevent data mixing. This enables scalable, multi-client reporting without manual reconfiguration.
Setup involves connecting Google Sheets, providing a Meta Ads API access token, and configuring a Telegram bot. The agent uses token-based authentication and follows a modular design so you can replace or rotate credentials easily. Routine maintenance includes refreshing tokens and updating report templates as needed. Documentation and validation runs ensure connections stay healthy.
End-to-end automation from data extraction to client-ready summaries and alerts.
