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.
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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
Instructions for importing conversions from Matomo to Google Ads.
Making UTM parameters for Google Ads campaign names human readable is manually challenging. If you configure a Google Ads script for this purpose, it will do the job reliably.
Making UTM parameters for Google Ads campaign names human readable is manually challenging. If you configure a Google Ads script for this purpose, it will do the job reliably.
For shop operators it is interesting where the user adds his products to the shopping cart. Does this happen on the search results page, in a category or in the classic product detail? With good Google Analytics 4 (GA4) data and BigQuery connectivity, this is easy to determine.