Digital Loop
Data Warehouse and SEO

Marketing Data Warehouse with real-time SEO insights

Task

The client found decision-relevant data spread across different sources, making it difficult to measure marketing success using a single metric and delaying corporate strategy evaluation.

  • Strategy

    We developed a Marketing Data Warehouse and SEO real-time notification solution.

  • Client

    A client in Marketing & SEO who relies on data-based decisions.

  • Keywords

    Marketing Data Warehouse, SEO, Real-time Insights, Data Centralization, Tech SEO

MarTech-team

Realization of the project

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We developed a Marketing Data Warehouse and SEO real-time notification solution. This involved centralizing data from various web applications into an all-in-one platform, creating interactive and mostly auto-updating dashboards, and providing real-time notifications via email or Slack for critical Tech-SEO issues.

Data Centralization:

The data is brought together in the Marketing Data Warehouse. We connected the data pipelines of the various web applications and pulled the data into an all-in-one platform to centralize the datasets.

Insightful Dashboards:

With the help of interactive dashboards and customized reports for different operational or strategic goals, the customer can now get an up-to-date overview at any time and adjust the operational strategy accordingly. Most of the reports are updated automatically.

SEO Monitoring:

Additionally, we use our solution to monitor the web environment for critical Tech-SEO issues. Here, stakeholders receive real-time notifications via email or via communication tools such as Slack.

Long-term utilization

The solution works elegantly through a single connector to the data visualization tool and remains flexible as we can always add more datasets as needed.

0
SEO & UX MODULES
0 +
DASHBOARDS & REPORTS
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HRS PER YEAR SAVED*

Technical scope

Overview of the data sources, storage, and tools used to collect, analyze, and monitor technical and user-related metrics.
SEO Data Sources

Data from tools like Google Search Console, PageSpeed, Core Web Vitals, WebPageTest, Sistrix, Ryte, etc., to monitor and optimize search engine performance.

User Behavior Data

Web analytics data capturing how users interact with the site, helping to identify trends, drop-offs, and engagement patterns.

User Satisfaction Data

Survey-based insights that measure user satisfaction and inform improvements in user experience and product offerings.

Internal Data

Key Performance Indicators (KPIs) and internal metrics used to track business goals and operational performance.

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Data Storage & Management

Databases like MongoDB, Google BigQuery, and MySQL are used to store, organize, and query large-scale datasets efficiently.

Based on the estimate that the customer's teams need to pull data themselves and update the report on a monthly basis. -> 2.5 hours per month * 12 months * at least 4 teams = 120 hours
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