Automation of Facebook Ads reports
I created a fully functional AI agent on the Make.com platform that automates the reporting and strategic planning cycle for Facebook Ads. The system not only collects data but also acts as a "Junior Media Buyer," analyzing the effectiveness of creatives, comparing periods, and providing specific recommendations for scaling or optimizing campaigns.
Technological Architecture (Workflow)
The project is implemented as a seamless integration of several systems through Make.com:
- Facebook Ads API: Direct extraction of raw data on campaigns, ad sets, and individual ads (Spend, ROAS, CTR, CPC, CPM, Conversions).
- Data Processing: prompts for comparing the current week's metrics with the previous one (WoW analysis).
- GPT-4o API (Brain): The AI model processes the received data array, identifying anomalies and trends.
- Market Intelligence: A module for analyzing market trends and the competitive environment to contextualize results.
- Reporting Engine: Generation of the final report and sending it to the client (Email/Slack/Telegram).
Key functionalities of the agent:
1. Deep ad analytics: The AI identifies "champions" and "outsiders" among creatives, analyzing not only raw numbers but also the logic of audience interaction with the content.
2. Comparative analysis (WoW/MoM): Automatic detection of the reasons for the decline or growth in effectiveness compared to the previous period.
3. Competitive context: Analysis of how current metrics relate to market standards and competitor activity.
4. Strategic Advice block: Instead of saying "CTR has dropped," the agent writes: "I recommend updating the visuals in campaign X, as audience burnout is observed, and reallocating 15% of the budget to ad set Y with a higher ROAS."
Business value for the client:
- Zero Manual Work: The marketer or business owner does not spend time on manual report extraction.
- Data-Driven decisions: Recommendations are based on mathematical analysis rather than intuition.
- Speed of response: A weekly cycle allows for timely detection of negative trends and saving the advertising budget.
- Transparency: The client receives a clear, understandable report in plain language, rather than a complex Ads Manager table.
#Make.com #make #FacebookAds #reports #ChatGPT #Gmail #Automation #AI #reports #facebook_ads #ai #Automation
Technological Architecture (Workflow)
The project is implemented as a seamless integration of several systems through Make.com:
- Facebook Ads API: Direct extraction of raw data on campaigns, ad sets, and individual ads (Spend, ROAS, CTR, CPC, CPM, Conversions).
- Data Processing: prompts for comparing the current week's metrics with the previous one (WoW analysis).
- GPT-4o API (Brain): The AI model processes the received data array, identifying anomalies and trends.
- Market Intelligence: A module for analyzing market trends and the competitive environment to contextualize results.
- Reporting Engine: Generation of the final report and sending it to the client (Email/Slack/Telegram).
Key functionalities of the agent:
1. Deep ad analytics: The AI identifies "champions" and "outsiders" among creatives, analyzing not only raw numbers but also the logic of audience interaction with the content.
2. Comparative analysis (WoW/MoM): Automatic detection of the reasons for the decline or growth in effectiveness compared to the previous period.
3. Competitive context: Analysis of how current metrics relate to market standards and competitor activity.
4. Strategic Advice block: Instead of saying "CTR has dropped," the agent writes: "I recommend updating the visuals in campaign X, as audience burnout is observed, and reallocating 15% of the budget to ad set Y with a higher ROAS."
Business value for the client:
- Zero Manual Work: The marketer or business owner does not spend time on manual report extraction.
- Data-Driven decisions: Recommendations are based on mathematical analysis rather than intuition.
- Speed of response: A weekly cycle allows for timely detection of negative trends and saving the advertising budget.
- Transparency: The client receives a clear, understandable report in plain language, rather than a complex Ads Manager table.
#Make.com #make #FacebookAds #reports #ChatGPT #Gmail #Automation #AI #reports #facebook_ads #ai #Automation
Lutsk 
Available for hire
Offer work