# Customer Metrics

## Use Cases of Customer Metrics

1. Get holistic user data i.e., user counts and user behavior.
2. Understand your user demographics, identify user needs and develop data-driven customer profiles.
3. Learn how users react to your chatbot sequences and create better chatbot sequences for a greater user experience.

{% hint style="info" %}
All the metrics are visualized from data recorded within the selected timeframe, except the [Incoming Message Count Metric](/myalice-guide-arabic/data-lab-and-analytics/analytics-and-metrics/customer-metrics.md#incoming-message-count). You can edit the time range from the top right corner of your dashboard.
{% endhint %}

## Categories of Customer Metrics 

Based on these three use cases, we can divide customer metrics into three categories.

{% content-ref url="/pages/-MhizZja-DVeedA5RLK-" %}
[General Metrics](/myalice-guide-arabic/data-lab-and-analytics/analytics-and-metrics/customer-metrics/general-metrics.md)
{% endcontent-ref %}

{% content-ref url="/pages/-Mhize1LjON--HpwfuAO" %}
[User Demographics Metrics](/myalice-guide-arabic/data-lab-and-analytics/analytics-and-metrics/customer-metrics/user-demographics.md)
{% endcontent-ref %}

{% content-ref url="/pages/-Mhizf1nu1h1FTDJialB" %}
[Chatbot Efficiency Metrics](/myalice-guide-arabic/data-lab-and-analytics/analytics-and-metrics/customer-metrics/chatbot-efficiency.md)
{% endcontent-ref %}


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