Blink SEO
4 months
Telecommunications
United States
Blink SEO is a digital marketing agency offering specialized SEO services to clients across various industries. They manage multiple campaigns and datasets per client and needed a unified analytics infrastructure. Their focus is on delivering actionable SEO insights by combining crawling, keyword, and backlink data through a centralized platform.
Unified SEO reporting and insights Automated daily data ingestion pipelines
Custom Looker dashboards for clients Scalable Google Cloud-based infrastructure
Data Engineer
Cloud Architect
BI Developer
Project Manager
Contractual hiring
Eliminating Data Gaps, Inefficient Reporting, and Weak Customer Understanding
Fragmented data across multiple clients and third-party tools like ScreamingFrog, DataForSEO
High manual effort in maintaining reports and handling campaign-level data at scale
No centralized warehouse for unified processing and client-level reporting
To build a scalable and efficient data foundation, we must first consolidate fragmented client and tool data into a unified schema. Automating extraction from APIs like ScreamingFrog and DataForSEO is key. Aligning dashboards to client-prioritized KPIs—such as keywords, SERP rankings, and backlinks—ensures relevance as the architecture scales with growth.
● How do we consolidate data from all clients and tools into a unified schema?
● How can we automate data extraction from ScreamingFrog and DataForSEO APIs?
● What dashboards and KPIs do clients care about the most (keywords, SERP, backlinks)?
● Can this architecture scale as the agency adds more clients and tools?
Modular, Scalable Infrastructure for SEO Data Pipelines
To support multi-client SEO operations at scale, we built modular ETL pipelines using Python-based Cloud Functions for efficient and automated data processing. For high-volume ingestion tasks, we deployed scalable virtual machines on Compute Engine to handle API-based data collection from tools like ScreamingFrog and DataForSEO.
All processed data is stored in BigQuery, creating a centralized warehouse that supports seamless querying and cross-client analysis.
On top of this foundation, we designed customized Looker Studio dashboards tailored to each client’s SEO KPIs—such as keyword rankings, backlink profiles, and SERP visibility—ensuring accessible, real-time insights that align with marketing goals and performance tracking.
Enabled consistent SEO performance tracking across all clients with automated, daily data updates.
Reduced manual reporting efforts through end-to-end pipeline automation, freeing up team resources.
Improved data reliability and consistency, leading to a 35% increase in report accuracy.
Delivered real-time, transparent insights that improved client satisfaction and trust by 20%.
increase in reporting efficiency across all clients
boost in data accuracy through automation
faster dashboard delivery using modular templates
rise in client satisfaction from real-time insights

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DataRopes.ai is a global technology partner which delivers end to end services like data engineering, data analysis, data science and AI & ML.
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150 E B St Lbby # 1810

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