Sprinklr's latest release introduces a range of exciting new capabilities aimed at empowering your business to create more meaningful customer experiences across all touchpoints. Here are the key features included in Sprinklr's latest release:

Benchmarking

Brand Addition| Enhanced Engagement Dashboard

We have updated the tooltip message in the Add Account Dialog to provide clearer instructions for the users. The new message explicitly guides users to press the enter button after entering comma-separated URLs.

Old Message: "Enter comma separated URLs to add your accounts."

New Message: "Enter comma separated URLs and press enter button to add your accounts."

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Focus on Usability:
This enhancement aims to reduce user confusion and improve the overall user experience by ensuring that the steps required to add accounts are clearly communicated. Users will now find it easier to complete the account addition process, minimizing errors and increasing efficiency.

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Text Crowding Score

Metric to Reflect how clearly is the mention of brand visible in the posts

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Calculate Text Crowding Score (Score out of 100):  

It computes the number of text features surrounding the brand name/hashtag/link. More the number of text features around it, more the "crowding" - which would reduce visibility hence should reduce the score. 

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Comoputation follows:

Initial Score Allotted to each post = 30

Adjustments to the initial score:

1.     Lengthy Text - >

a.     Case 1: If length of the post > 240 characters --- Deduct 5 points

b.     Case 2: If length of the post is </= 240 characters --- No change

2.     Excessive Tags -> If tags  > 5 --- Deduct 5 points

3.     Lack of line breaks ->

Assuming there should be at least 1 line break for every 240 characters

Deduct Max(0, [Post length/240]-m)

Where m is the number of line breaks

4.     Bulky words ->

If the Average word length of the post > 7 --- Deduct 5 points

Else --- No Change

So Inital score is calculated as:

30 – Length Text Adj – Excessive tags Adj – Line break Adj - Average word length

Finally this score is normalised to range it in 0-100.

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