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== Key Features of Advanced Web Analytics == 1. '''Unsampled Reporting''': Full data set analysis without sampling for more accurate and reliable reports[2]. 2. '''Data-driven Attribution''': Custom attribution models to understand which marketing channels are most effective[2]. 3. '''Advanced Segmentation''': Creation of complex user segments based on various criteria like demographics, behavior, and purchase history[2]. 4. '''Custom Models''': Development of custom models for deeper and more complex data analysis[2]. 5. '''Predictive Analytics''': Use of historical data to predict future trends and customer behaviors[1]. 6. '''Cross-platform and Cross-device Measurement''': Tracking complex user journeys across different platforms and devices[1]. 7. '''Enhanced Data Visualization''': AI-powered tools can create engaging and easy-to-understand data visuals[6].
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