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Facebook Analytics & BigQuery Connector
LANCERLancer :
Ideal for quick, focused engagements
Team: ≤ 2 resources
Duration: ≤ 3 weeks
Indicative Budget: ≤ $3,000 USD*
Use Cases: MVPs, prototypes, simple websites, bug-fix sprints
Indicative Pricing: ~$15–$25/hr per resource*
Growth :
Best suited for growing products or structured builds
Team: 2–5 resources
Duration: Up to 4 months
Indicative Budget: Up to $30,000 USD*
Use Cases: Feature-rich web apps, integrations, custom dashboards
Indicative Pricing: ~$15–$35/hr per resource*
Enterprise :
Tailored for high-scale, complex or long-term initiatives
Team: 5+ resources
Duration: More than 4 months
Indicative Budget: Starts from $30,000+ USD*
Use Cases: End-to-end platforms, SaaS products, compliance-heavy systems
Indicative Pricing: ~$25–$50/hr depending on roles*
Technologies Involved:
FACEBOOK ADS
Area Of Work:
Customer Relationship Management
Project Description
The project is about creating a connector that syncs Facebook Analytics data directly into Google BigQuery for advanced reporting. It automated the ETL process, allowing marketing teams to run custom queries, generate insights, and optimize ad campaigns based on real-time metrics.
Scope Of Work
The client needed an automated integration tool that could extract data from Facebook Analytics and load it into BigQuery. They required scheduled syncs, data transformation capabilities, error handling, and support for large datasets. The solution also had to ensure data accuracy and maintain API compliance.
Our Solution
We delivered the following solution components:
- Built an API-based connector for Facebook Analytics and BigQuery
- Enabled automated scheduled syncs with custom frequency options
- Implemented transformation rules for clean, analysis-ready data
- Added error handling and monitoring for uninterrupted operation
- Ensured compatibility with latest Facebook and Google APIs