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Server-Side Google Tag Manager setup for effective data collection and load reduction on the client side of the website.

Automatic reporting setup for daily monitoring of key indicators, reducing routine tasks, and providing immediate access to relevant data.

Customer segmentation based on Recency, Frequency and Monetary value of purchases to identify the most valuable customers and develop effective marketing strategies.

Analyzing the behavior and characteristics of different user groups (cohorts) to identify trends and improve the strategy for customer acquisition and retention.

Integrating data from various sources to create a unified analytics system that provides a comprehensive understanding of marketing efforts and supports data-driven decision-making.

Setting up and analyzing experiments to compare different design or content options to improve conversion rates and business income.

Studying the user flow to conversions to identify barriers and increase conversion rates.

Analyzing how different types of content (blogs, articles, videos) engage and attract new customers.

Evaluating the results of advertising campaigns across different channels (Google Ads, Facebook Ads, etc.) to optimize costs and increase ROI.

Sending data about conversions and audiences to advertising accounts to enhance targeting and optimize advertising campaigns.

Setting up automatic data transfer from required systems to Google BigQuery for centralized storage and analysis.