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.

Structure of insight tile

Each insight tile has a similar structure. It contains:

the data source from which information is coming
name of the insights
add to the favorites button
expand button (take the user to the results of the insights which are presented in the form of a bar chart).
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.

Analytics with insight

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 behavior (most common URLs clicked, common locations, devices),
any other attribute that is available for your dataset.

Understand your customers' behavior that matters to you across data sources better, which will improve your marketing strategies. You may learn about behavior that will inspire you to build other segments for your perfect audience.

You can compare the value of insights for a segmented audience with that of the global audience by accessing the expanded version of the segment insights, in order to gain a deeper understanding of the analytics.

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 a click away.