Learn how to leverage your data to optimize digital marketing strategies. From integrating powerful tools like BigQuery to optimizing product feeds and precisely tracking your campaigns – we provide practical guides and tips to implement data-driven decisions efficiently.
Accurate measurement of user behavior on websites is essential for effectively optimizing content. In particular, reading behavior provides insight into whether content is actually being consumed. But how can one reliably capture “real reading” on the web? Google Tag Manager (GTM) offers powerful tools for this.
Automated GA4 Monitoring with BigQuery In the dynamic world of e-commerce, it is
Matomo Looker Studio Reporting with BigQuery Are you
Of course, one knows the number of contacts through
Better data, better decisions: Data enrichment in Server-Side Tag Manager
Ultimate Guide to UTM Parameter Tracking – incl. Template
N-Gram analysis is a method in natural language processing (NLP) used to examine texts and data by analyzing sequences of consecutive elements. In digital marketing, N-Gram analysis can be employed to optimize search terms for Google Ads, identifying patterns and relationships in search queries. This leads to improved ad relevance and more effective data analysis. To conduct an N-Gram analysis for Google Ads, data collection and processing are required, with Google BigQuery serving as a helpful tool.
Automatically label new products in Google Merchant Center
Data Studio Report: Analyzing Products in Merchant Center with BigQuery