Metrics and Dimensions in Location Insights

Updated 

Location Insights – Drill down options

Drill down is a feature that lets the user analyze more specific data points in a widget. It gives the user an in-depth view of a selected metric in one click, keeping the original widget accessible at all times.

Location Insights – Dimensions

Dimension

Description

Business Location

Gives the distribution of data based on the location. This is the name of the business location the user enters in the Sprinklr platform.

Word Cloud for Attribute Insight

Drill down to view the top attribute insight phrases predicted by the AI Model.

Word Cloud for Subject Insight

Drill down to view the top subject insight phrases predicted by the AI Model.

Brand Name (Business Locations)

Brand Name refers to the user-provided/Sprinklr-identified brand of business location for which the review has been pulled into Sprinklr.

Location Insights – Sentiment

Phrase or insight level sentiment predicted by the Sprinklr Location Insights Model. Every insight phrase predicted by the Sprinklr LI model has a separate sentiment attached to it. The sentiment can be Positive, Negative, or Neutral.

Subject Category

Represents 'what' is being talked about in the customer provided reviews.

Attribute Category

Represents 'how' their subject categories are being talked about.

Country (Business Locations)

Displays country names associated with business locations.

City (Business Locations)

Displays city names associated with business locations.

Zip Code (Business Locations)

Displays zip codes associated with business locations.

Other generic dimensions

Dimension

Description

Domain

Shows the distribution of mentions across different domains from which the data is being sourced.

Show Conversation Stream

Drill down on any widget to view the review messages/mention.

Show Trend

Drill down on any metric to view how the same has trended over time.

Sentiment

Shows the distribution of sentiment on the message level.

Created Time

The time and date at which the message was created on the native website.

Source

Shows the distribution of mentions across different listening sources from which the data is being sourced, e.g. Reviews, Forums, Blogs, Twitter, Facebook, etc.​

Location Insights – Metrics

Below is the list of standard metrics available for different analysis & calculation. The metrics can be used in the widgets and cannot be used as a drill down option.

Metric

Description

Experience Score

All insights powered by Locations Insights are scored based on the sentiment attached to it. The scores are calculated as follows -

  • Positive insight = 100

  • Neutral insight = 50

  • Negative insight = 0

Formula for Experience Score: 100*(Number of Positive Insights) + 50*(Number of Neutral Insights) + 0*(Number of Negative Insights)/ (Total Insights)

For example, for this message –

"I love the food, but it seems a bit pricey. However, will definitely recommend the place"

Experience Score of the message = (100*2+0*1)/3 = 67

Insights

The number of insights the AI Model has predicted in a message.

Positive Location Insights Count

The number of positive insights predicted by AI Model in a message.

Negative Location Insights Count

The number of negative insights predicted by AI Model in a message.

Neutral Location Insights Count

The number of neutral insights predicted by AI Model in a message.​

Star Rating

The star rating left by a user for review on any review page.

Mentions

The actual review left by the user on native domain.

Location-based information through custom fields

Users can also drill-down on specific widgets to view distribution by other meta location information which the user enters. Custom Fields vary from customer to customer, as different customers have different use cases. For example, if a brand wants to see where their outlets are present, so a custom field can be added which maps every business location added to the platform where it is located like airport, mall, streets, etc.