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.
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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.
The GPT-Feedcreator is a tool based on a Google Sheet with Apps Script that enables communication with OpenAI's ChatGPT. It automates the optimization and enrichment of product data.