The client is an independent media agency headquartered in New York, delivering media planning and buying services in the advertising and marketing industry. They provide strategic, data-driven solutions that empower brands to achieve measurable outcomes and navigate the evolving communication landscape.
The client required a faster, more scalable solution to simplify monitoring and decision-making processes. Their goals were to:
- Develop an attention monitoring system by ingesting data from Google Alerts, Wikipedia, and Facebook Graph API.
- Build a node-based or low-code solution for faster implementation and easier maintenance.
- Create a platform that empowers business owners to design and manage their workflows.
Cybage supported the client with end-to-end workflow automation, managing the entire process from requirements gathering to deployment and monitoring.
- We implemented the required modernization using n8n, an open-source workflow automation platform, to orchestrate data movement across email systems, Google platforms, and web scraping.
- Our team deployed the n8n server on Google Cloud, ensuring scalability and long-term monitoring.
- We conducted source analysis to determine the optimal use of native n8n nodes versus custom API workflows, reducing complexity.
- Our experts also built customized web scraping workflows to ingest structured and unstructured data from public sources such as Wikipedia.
- We automated the timely delivery of key insights and performance data from Google at defined intervals, providing actionable analytics.
The modernized solution empowered the client to achieve their business objectives with improved agility, scalability, and customer satisfaction.
- Unified automation layer integrated signals across search, social, web, and insights tools, eliminating manual processes.
- Low-code extensibility accelerated APIs and data providers using reusable templates and nodes, improving time-to-market.
- Reduced operational costs by replacing custom-built applications and dedicated servers with a cloud-hosted, usage-based n8n deployment model.
- Automated anomaly detection and real-time alerts improved visibility into data issues, and campaign signals, impacting brand attention.
- Self-service workflow authoring reduced engineering dependency, and accelerated delivery timelines, allowing users to manage own workflows.
