What is Sprinklr Social?
Sprinklr Social’s platform empowers enterprise teams of all sizes to deliver a consistent brand experience across 35+ digital and social channels to drive engagement and revenue, with capabilities across publishing, engagement, listening, analytics, employee advocacy, influencer marketing and commerce.
Content planning and scheduling using an editorial calendar, with a digital asset manager and the ability to publish across channels at AI-recommended times with an omni-channel publisher
Engaging, platform-specific content can be generated instantly with Sprinklr AI+
Audience engagement across 35+ social and messaging channels using a unified inbox
AI-powered classification to analyze sentiment and intent of the inbound messages and engage with AI Smart Response, Smart Compose, and auto-responses
Performance analysis across owned, earned and paid media, integrating data from multiple sources into a unified report and get on-demand or routine access
More granular business insights with custom metrics and out-of-the-box dashboards
AI-powered, critical insights across brand health, campaign performance, and competitor benchmarking
To amplify reach employees can share branded content, leveraging user-generated content and engaging influencers
Enterprise-grade granular & customizable compliance and approval workflows for unique business needs
Sprinklr provides social media management for brands. Sprinklr Social’s self-serve plan is a comprehensive social media management solution, with a simplifed interface, built-in listening, OpenAI’s ChatGPT integration and features for better planning, publishing, engagement, and analytics.
Larger, distributed teams with needs across insights, marketing and customer service can leverage Sprinklr Social’s Enterprise offering for advanced customization, wider channel coverage, global governance and in-depth analytics with custom metrics.
Sprinklr Social also comes pre-packaged with Sprinklr AI, for specific nuanced tasks such as sentiment & intent analysis, obtaining insights from large unstructured data and recommending relevant actions for managing customer experience.
Categories & Use Cases
Videos
Technical Details
| Deployment Types | SaaS |
|---|---|
| Mobile Application | Apple iOS, Android, Windows Phone, Mobile Web |
| Supported Languages | 65 supported languages, including English, French, Italian, German, Russan, Spanish, Simple Chinese, Japanese, and Portugese |