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Understanding Review Reporting: Icons & Filters

Written by Julie Mobilosoft
Updated this week

Online customer reviews are at the heart of your e-reputation. On platforms like Google and Facebook, they directly influence how your brand is perceived.

The Review Reporting module provides a clear, centralized view of customer satisfaction. Use it to analyze performance, identify areas for improvement, and effectively manage your review strategy. With key indicators, custom filters, and intuitive navigation, you have all the tools needed to optimize your brand image and make data-driven decisions.

1. Understanding the Filters

The filters at the top of the module allow you to customize your reports according to your specific needs.

Tags

Filter data based on your custom categories.

⇒ Best for:

  • Analyzing specific groups of locations

  • Segmenting your performance.

Locations

Select one or multiple points of sale.

⇒ Best for:

  • Analyzing a specific store

  • Comparing several locations side-by-side.

All Channels

Filter reviews by platform (Google, Facebook, etc.).

⇒ Best for: Measuring performance per specific social channel.

Time Period

Define the analysis timeframe (e.g., month, week, custom dates).

⇒ Best for:

  • Tracking evolution over time

  • Comparing different periods.

2. Available Actions

🔄 Reset Filters:

Removes all applied filters and returns to the global overview.

🆗Apply (Validate):

Activates your selected filters and updates the reporting data in real-time.

💡Best Practices

For an effective analysis, keep these tips in mind:

✅ Refine your data: Use filters to avoid being overwhelmed by too much information.

✅ Identify trends: Always analyze by time period to spot patterns in customer feedback.

✅ Benchmarking: Compare your top-performing locations against those that need improvement.

✅ Explore insights: Experiment with different filter combinations to uncover hidden data.

Understanding the Review Reporting filters ensures a precise and relevant analysis of your performance.

Well-filtered data leads to smarter business decisions.

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