ePrivacy and GPDR Cookie Consent by Cookie Consent Skip to main content

Insights - what are they for and how do they work

Insights are a set of tiles with various analytics tiles.for segmented groups. Insights are built based on attributes and conditions (eg. most common location, device, count of customers that bought a product).

Insights are in:

 

insights-example.png

For each tile, you can see an expanded view of the tile that is slightly bigger than an original tile, also it may containwith additional data that will help you to understand the meaning of the tile. 

information.image-1601373982589.png

 

Each insight tile has a similar structure, it contains:

  • expand
    • Data
  • data source
    		•  Forfor thewhich chosen attribute. Itinformation is assignedcoming automaticallyfrom, as each attribute is calculated from a particular data source. 

    Name

  • name of the insight

    insights,
    		• Name given to an insight.
    Add
  • add to favorites buttonbutton,
    		• Itbutton, is
  • summary possiblewith toinformation add or remove from favorites, that will move insight to the top of the tab.
    • Expand button  Expand tile to see more insights (if available) and make insight bigger. 
    Insight result Attribute and conditionon for the insight to be set in the Administration tab.
    SummaryDisplay how many customers outattribute offrom segmentedinsight customersis weknown knowfor. this attribute. 

       

      insight-description.png
       It is important to knowcheck for how big part of your audience, attribute yourfrom insight is referring to is known for.known. It can happen that the attribute is known only for a small part of your audience (less than 1 % for example), in that case, your insight will not represent all your customers. Bigger the percentage is, the bigger part of your audience that insight represents.

       

      insight-description.png

      What I can learn from my insights and what I canto do with that knowledgeit

      With insights, you can quickly dive into analytics  of your segmented audience, as well as the whole customer's dataset. 

      Depending on your marketing objectives and strategy it can be data connected to your 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) and any other attribute that is available for your dataset.

      Simply define what data matters to you, setting this up lays within clicks away. 

      Knowing this will help you quickly understandUnderstand your customers' behaviour that matters to you across data sources better, which will improve your marketing strategies.

      You may learn about behaviour that will inspire you to build other segments for your perfect audience. 

      Most common use cases:

      • Checking data quality (eg. whether segment contains a lot of customers with known PII/ with permission to contact).
      • Checking best channel for activation (eg. channel with the highest engagement).
      • Measure campaign performance (eg. most common UTM source/medium/campaign that brings web visitors). 
      • Identify the most common devices/country/OS which are useful for targeting.

      Simply define with the Meiro team what data matters to you, setting it up lays within clicks away. 

       

      Back to top