Insights what are they for and how do they work
Insights are a set of tiles with various analytics for segmented groups. Insights are built based on attributes and conditions (e.g., most common location, device, count of customers that bought a product).
Insights are in:
- Data tab/ Insights tab for the whole customers' database,
- Segment Detail/ Insights tab for segmented customers.
Insight tile structure
Each insight tile has a similar structure. It contains:
- the data source
forfrom which information is comingfrom, - name of the
insights,insights - add to the favorites
button,button - expand
button,button - Summary with information on for how many customers attribute from insight is known for. It is essential to check for how big part of your audience, attribute from insight is known. The attribute may be known only for a small piece of your audience (less than 1 %, for example). In that case, your insight will not represent all your customers. The bigger the percentage is, the more significant part of your audience that insight means.
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Insights can be connected to, e.g.:
- revenue (average spending, max-min spending),
- customer engagement (highly engaged customers across the channels or within a particular channel),
- customer behaviour (most common URLs clicked, common locations, devices),
- any other attribute that is available for your dataset.
analytics
With insights, you can quickly dive into the analytics of your segmented audience, as well as the whole customer's dataset.
Insights can be connected to, e.g.:
- revenue (average spending, max-min spending),
- customer engagement (highly engaged customers across the channels or within a particular channel),
- customer behaviour (most common URLs clicked, common locations, devices),
- any other attribute that is available for your dataset.
Understand your customers' behaviourbehavior that matters to you across data sources better, which will improve your marketing strategies. You may learn about behaviourbehavior that will inspire you to build other segments for your perfect audience.
Use Cases
Most common use cases:
- Checking data quality (e.g., whether the segment contains a lot of customers with known PII/ with permission to contact).
- Checking the best channel for activation (e.g., the channel with the highest engagement).
- Measure campaign performance (e.g., most common UTM source/medium/campaign that brings web visitors).
- Identify the most common devices/country/OS which help target.
Define with the Meiro team what data matters to you. Setting it up lays within clicksa click away.