Problem Statement

The client, a digital marketing agency, required an automated system to store, process, and generate SEO reports for their clients. They needed to integrate data from several SEO sources, including Google Analytics (GA4), Google Search Console, Screaming Frog, AWR, and Ahrefs, into a centralized data warehouse. The goal was to provide a range of reports, including technical audits, competitive audits, content evaluations, and monthly client reports.

Approach & Solution

To address the client's needs, DataRopes.ai developed an automated data pipeline and reporting system, integrating multiple SEO data sources for comprehensive analysis and reporting.

We processed data from six different SEO sources (Google Analytics, Google Search Console, Screaming Frog, AWR, Ahrefs, and Google Business Profile), consolidating it into a BigQuery data warehouse.
Compute Engine and Cloud Scheduler were used to automate daily data extraction, processing over 100,000 data points per day, ensuring timely and accurate reporting.
We built an interface using Google Sheets linked to BigQuery, allowing team members to interact with the data by adding, updating, and deleting records efficiently.
Custom Python ETL scripts were deployed on VM instances, automating the capture and processing of data, while reports were generated in Looker Studio and shared through spreadsheets and ClickUp.

Results & Outcomes

By automating the audit and reporting process, the client saw a 35% reduction in time spent on manual reporting and 20% cost savings in data processing operations. The enhanced insights from automated SEO reports led to better client retention and growth. This scalable solution allowed the client to handle increasing data volumes as they acquired more clients, ensuring long-term business growth.