Sprinklr Insights Features

Allows user flexibility into manipulating and digging deeper into the data that is provided through the tool.

Allows users to export reports from the product into an .xsl, .csv, or .pdf file.

Allows marketer to add, track, and measure a multitude of social media accounts.

Offers a white labeling service for agencies or resellers to customize platform branding.

Gathers and compares social data from competitors to help keep tabs on competition and benchmark progess in the social sphere.

Analyzes and illustrates follower information such as demographics, location, interests, etc.

Tracks how much engagement (views, likes, favorites, retweets, comments, etc.) each piece of content receives to highlight which types of content resonate best with the target audience.

Tracks and measures the success of paid advertising initiatives run on social media sites.

Ties social activity to business results such as leads, conversions, and sales.

Analyzes the performance of hashtags and identifies popular or trending hashtags.

Uses AI to accurately assess the sentiment of social media content based on keywords and phrases.

Monitors broadcast media such as television and radio news

Monitors print media such as newspapers and magazines

Monitors online media such as blogs, websites, and social media

Monitors media channels at the local level

Monitors media channels at the national level

Monitors international news coverage

Enables users to search media channels for specific keywords, brand mentions, or topics

Allows users to create custom feeds and/or receive real-time alerts for relevant media mentions

Allows users to build custom reports that can be shared with clients and stakeholders

Provides dashboards for quick visualizations of relevant media coverage and analytics

Measure campaigns, brands, and products for quantitative metrics such as conversation volume, when conversations are happening, and your brand's share of voice.

Identifies who is talking about your brand along with their influence over social communities.

Monitors social media channels for brand mentions and reports on the quality and quantity of conversations about a brand or product.

Provides features for monitoring multiple keywords, topics, or hashtags, with the ability to increase the number of terms being tracked.

Identifies and analyzes trends in topics, hashtags, or audiences to help brands anticipate changes in consumer attitudes.

Allows users to monitor conversations about competitors and measure performance against them.

Determines whether mentions of your brand are positive, negative or neutral.

Access custom reports and dashboards to measure social activity and engagement opportunities. Allows users to export data and graphs into various formats.

Self-monitors important metrics and sends notifications to users in-app or through email, text message or otherwise.

Provides advanced data filtering capabilities to help users drill down, sort, filter, aggregate, and group social listening data.

Compare and contrast products, brands, sentiment, etc.

Provides AI generated insights.

Quantifies digital consumer intelligence to analyze brand health.

Identification and analysis of brand or product trends.

Capability to track and measure brand results over time.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives