Market Research · Marketing professionals

AI Agent for Ad Performance Across Meta Google Microsoft

Monitor cross-platform ad data, analyze KPIs with Groq Llama 3.3, and automatically email a comprehensive monthly report via Gmail.

How it works
1 Step
Ingest Data
2 Step
Analyze KPIs & Generate Insights
3 Step
Assemble & Email Report
The AI Agent reads ad data from three Google Sheets tabs (Meta, Google, Microsoft) and merges rows into a single dataset.

Overview

End-to-end automation across platforms.

The AI Agent ingests data from Meta, Google, and Microsoft ads, merges it into a single dataset, and computes key KPIs. It generates expert insights and benchmarks and builds an HTML report. It runs automatically on a schedule and emails the results to the team.


Capabilities

What AI Agent for Ad Performance Across Meta Google Microsoft does

Six concrete actions the AI Agent performs.

01

Ingests ad data from three Google Sheets tabs (Meta, Google, Microsoft) and merges into a single dataset.

02

Calculates KPI formulas (e.g., ROAS, CTR, CPA) using Groq Llama 3.3 to ensure consistency.

03

Generates expert insights and benchmarks based on historical data.

04

Builds a full HTML report with platform tables, charts, and benchmarks.

05

Emails the final report automatically via Gmail to assigned recipients.

06

Schedules recurring runs and handles errors with retries.

Why you should use AI Agent for Ad Performance Across Meta Google Microsoft

This AI Agent consolidates scattered ad data into one source, reduces manual handling, and standardizes KPI calculations. It turns raw exports into a consistent, decision-ready report that arrives on schedule.

Before
Manual data gathering from Meta, Google, and Microsoft takes hours each month.
Data exists in three separate sheets with inconsistent formats.
KPIs require manual calculation, increasing error risk.
Insights are scattered and hard to benchmark across platforms.
Monthly reporting is late, delaying optimization decisions.
After
Data is merged into a single dataset automatically.
KPIs are calculated consistently with Groq Llama 3.3.
Insights are aligned with benchmarks in a single report.
A formatted HTML email with charts is delivered on schedule.
Teams receive timely, decision-ready information.
Process

How it works

A simple, three-step flow anyone can follow.

Step 01

Ingest Data

The AI Agent reads ad data from three Google Sheets tabs (Meta, Google, Microsoft) and merges rows into a single dataset.

Step 02

Analyze KPIs & Generate Insights

Runs KPI calculations using Groq Llama 3.3 to produce expert insights and benchmarks.

Step 03

Assemble & Email Report

Constructs a full HTML email with platform tables, charts, benchmarks, and sends via Gmail to recipients.


Example

Example workflow

One realistic scenario showing setup and result.

Scenario: On the first day of every month, monthly ad exports for Meta, Google, and Microsoft are pasted into their respective Google Sheets tabs. The AI Agent ingests the data, calculates KPIs, and generates insights. It builds a polished HTML email with charts and benchmarks and emails it to the team.

Market Research Google SheetsGroq APIGmailHTML Email Builder AI Agent flow

Audience

Who can benefit

One supporting sentence.

✍️ Marketing managers

Need clear, monthly cross-channel performance summaries for decision-making.

💼 Campaign analysts

Want consistent KPI calculations and insights to inform optimizations.

🧠 Finance / Budget owners

Require centralized cost and ROAS reporting for budgets.

Digital advertising agencies

Want standardized client reports delivered automatically.

🎯 C-suite executives

Need high-level dashboards and benchmarks for decisions.

📋 Marketing operations

Need a repeatable process to ingest and consolidate ad data.

Integrations

One supporting sentence with short explanation.

Google Sheets

Reads data from three tabs (Google, Meta, Microsoft) and merges into a single dataset.

Groq API

Runs Groq Llama 3.3 to compute KPIs and generate insights.

Gmail

Sends the final HTML report to recipients.

HTML Email Builder

Assembles the HTML email with charts and benchmarks.

Applications

Best use cases

One supporting sentence with short explanation.

Monthly cross-platform ad performance reporting across Meta, Google, and Microsoft.
KPI-driven campaign optimization with unified data.
Automated executive-ready reporting with benchmarks.
Cross-channel ROI analysis feeding budget decisions.
Trend analysis over multiple months for proactive optimization.
Automated data validation and error detection before reporting.

FAQ

FAQ

One supporting sentence with short explanation.

The AI Agent runs on a schedule you configure, with monthly defaults. It fetches the latest exports from the three sheets, merges the data, computes KPIs with Groq Llama 3.3, and crafts an HTML report. If the run fails, it retries automatically and notifies designated recipients. You can pause or adjust the cadence at any time.

The AI Agent reads ad data from three Google Sheets tabs (Google, Meta, Microsoft). It expects comparable columns across tabs to merge correctly. If a source changes format, you can map fields in the setup to align with the merged dataset. New sources can be added with minimal configuration, preserving KPI consistency.

Yes. KPI formulas are defined in the analysis layer and powered by Groq Llama 3.3. You can adjust which metrics are calculated and the benchmarks used for comparisons. Custom KPIs can be introduced by updating the formulas, and the agent will recalculate on each run. The output report will reflect the updated metrics automatically.

Data is processed within your connected accounts with access strictly scoped to the configured sheets and Gmail. The system uses secure API communications and adheres to standard organizational security practices. Access controls can restrict who can view or modify the setup. No data leaves your environment unless you explicitly enable export options.

If a source changes, the AI Agent can accommodate by updating the field mappings and revalidating the merged dataset. The KPI calculations remain stable because they rely on the merged structure. You’ll be prompted to confirm mapping changes, and a test run can validate results before the next full run.

Yes. You can configure filters to exclude specific campaigns or platforms from ingestion and KPI calculations. The report will reflect the filtered data, ensuring only the relevant subset is analyzed and reported. This helps tailor outputs to stakeholders or experiments.

The agent includes a formatted HTML email with tables and charts by default. You can customize sections, add or remove charts, and adjust the layout through setup parameters. Changes apply to subsequent runs, keeping your communications aligned with your branding and needs.


AI Agent for Ad Performance Across Meta Google Microsoft

Monitor cross-platform ad data, analyze KPIs with Groq Llama 3.3, and automatically email a comprehensive monthly report via Gmail.

Use this template → Read the docs