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Description

Gain practical insights for your direct-to-consumer brand with a personalized, comprehensive overview that requires no engineering expertise. With just a single click, you can integrate all your marketing data and analyze it directly within the application. Real-time detection of insightful trends and anomalies becomes effortless, eliminating the need for tedious spreadsheets filled with numerous tabs. Centralize your marketing data sources seamlessly, as we support all major connectors utilized by D2C brands. You won’t have to worry about maintaining a data pipeline or setting up a data warehouse; we take care of that for you. Instantly compute and analyze key performance indicators with ease. Our pre-defined dashboards allow you to visualize crucial metrics such as Customer Acquisition Cost, Lifetime Value, and Retention Cohorts, which are essential for monitoring and enhancing your store's performance. Furthermore, you have the freedom to customize these charts to fit your unique metrics and definitions, as all visualizations are constructed using SQL, enabling your team or ours to tailor them as needed. The flexibility and user-friendliness of our platform empower you to make informed decisions faster than ever before.

Description

Identify the key issues that impact online sales, site abandonment, or user satisfaction. Webeyez analyzes real user data in real time to assist sales and marketing teams in identifying technical issues that could impact online revenue. Get automatic alerts. You will be notified immediately if something isn't working and how much it is costing you to minimize revenue loss. Webeyez created a site score to help e-commerce and product managers understand the technical status of their webshops without any technical knowledge. Webeyez uses Artificial Intelligence to generate a high-level score for their site. This score provides a snapshot of the major technical issues that impact sales. The score is calculated by adding together goal success rates, goal durations, critical paths, page loads times, server and network times, and other factors. Our algorithm detects anomalies and alerts for drops in score and identifies the root cause.