Multi-Platform Ads Reporting Automation

FeaturedCase Study

Google Ads, Meta Ads, LinkedIn Ads, and Bing/Microsoft Ads reporting automation into Google Sheets with platform-specific handling and validation.

Performance Marketing TeamClient engagement - Selected workSolo

System architecture

Architecture / Flow

The practical path from source data to reliable reporting output.

Platform pulls

Google Ads, Meta, LinkedIn, and Microsoft/Bing data are collected through Apps Script and ad script workflows.

Shared sheet model

Date windows, conversions, URLs, and platform-specific fields are normalized into shared reporting outputs.

Rerun controls

Controlled windows and duplicate handling prevent reruns from corrupting historical rows.

Validation checks

Platform totals, dates, conversions, and Sheet row counts are checked after each run.

Reporting output

Sheets become the shared reporting layer for campaign performance, audience insights, and recurring updates.

Safeguards built in

Date-window controlDuplicate preventionConversion checksURL normalizationRow count validationRun logs

Why this mattered

Before

Manual exports
Inconsistent date ranges
Duplicate reruns
Slow reporting

After

Reusable platform scripts
Normalized Sheets output
Rerun-safe refreshes
Validated campaign reporting

Project Overview

Built multi-platform ads reporting automation for a Sheets-heavy marketing workflow. Platform-specific scripts handled Google Ads, Meta Ads, conversion logic, URL handling, and cross-platform reporting needs while keeping reruns and date windows controlled.

Key Challenges

Each ad platform used different date handling, conversion definitions, and account structures
Manual platform exports created slow and inconsistent reporting workflows
Reruns had to avoid duplicate rows and mismatched date windows
Sheet-based reporting still needed validation against platform totals

Results & Impact

Built platform-specific reporting scripts for a shared Sheets workflow
Added conversion and URL logic around ad reporting outputs
Created a reusable proof pattern for ads-to-Sheets automation
Defined validation checks around totals, dates, conversions, and reruns

Technology Stack

Google Apps ScriptGoogle Ads ScriptJavaScriptGoogle SheetsMeta AdsLinkedIn AdsBing AdsConversion Logic

Project Details

Industry:Marketing Reporting Automation

Duration:Client engagement

Team Size:Solo

Completed:Selected work

Have a similar data workflow?

If your reporting process depends on APIs, spreadsheets, ad platforms, or asynchronous exports, I can help turn it into a reliable pipeline with validation, monitoring, and clean outputs.