Sprinklr is the definitive, AI-native platform for Unified Customer Experience Management (Unified-CXM), empowering brands to deliver extraordinary experiences at scale, across every customer touchpoint. 

By combining human intelligence with the enhancements and insights of artificial intelligence, Sprinklr helps brands earn trust and loyalty through personalized, seamless, and efficient customer interactions. Sprinklr’s unified platform provides powerful solutions for every customer-facing team - spanning social media management, marketing, advertising, customer feedback, and omnichannel contact center management; enabling enterprises to unify data, break down silos, and act on real-time insights.

Sprinklr was founded in 2009 by Ragy Thomas and is headquartered in New York City (NYSE: CXM). The company is currently led by President & CEO Rory Read, with a global workforce spanning offices across more than 20 countries. (Visit our story for more details)

Unified Customer Experience Management (Unified-CXM) is Sprinklr's approach to consolidating dozens of point solutions into one platform. It connects every customer-facing function, including marketing, service, research, and sales, on a common data model so teams share context instead of working in silos.

Sprinklr's vision is to redefine the world's ability to make every customer experience extraordinary. Its mission is to empower companies to deliver next-generation, unified engagement journeys that reimagine customer experience. 

Sprinklr pursues this through its AI-native Unified Customer Experience Management (Unified-CXM) platform, a single architecture spanning four product suites (Sprinklr Service, Sprinklr Social, Sprinklr Marketing, and Sprinklr Insights) built on a common data foundation. Rather than bolting AI onto separate tools, Sprinklr embeds AI throughout the platform via Sprinklr AI, including Sprinklr AI Agents, Sprinklr Copilot, and AI+ Studio, built on 15+ years of proprietary customer experience data. 

That depth shows up as over 100 customer experience-focused AI capabilities working across the platform, not a handful of add-on features. And it operates at enterprise scale: Sprinklr generates over 8 billion AI predictions every day, captures over 450 million conversations daily, and processes more than 9 trillion tokens every month through its in-house LLMs. That same engine powers 160+ million brand messages and handles 200+ million contact-centre interactions every month, so the intelligence is proven in live, high-volume customer moments rather than in isolated pilots. 

Crucially, this understanding is broad as well as deep. Sprinklr's AI is tuned to the realities of 70+ industries and dozens of business functions, and it works across 150+ languages, so global enterprises get context that reflects how their customers actually talk, wherever and however they engage. The result is a platform where every team that touches the customer works from the same unified context, powered by AI at every step. 

Today, 1,600+ enterprises and 59% of the Fortune 100; rely on Sprinklr to help them deliver consistent, trusted customer experiences worldwide.

Yes. Sprinklr trades on the New York Stock Exchange under the ticker symbol CXM. In FY2026, the company reported revenue of $857.2 million, up 8% year over year, with generative-AI Service SKU ARR growing 50% YoY.

Yes. Sprinklr has native iOS and Android apps that connect directly to the Sprinklr platform, syncing in real time. From mobile you can manage social accounts, publish and engage with content, handle approvals and workflows, respond to customer care tickets, view listening and reporting dashboards, and receive push notifications. Available on the App Store and Google Play.

Sprinklr is headquartered in New York City with employees around the world. Its global research and development hub is in India, with offices in Bengaluru and Gurgaon. Additional offices include Austin, London, Paris, Hamburg, Sao Paulo, Tokyo, and Dubai. The India presence is a substantial share of Sprinklr's global engineering and product footprint.

Yes. Sprinklr has made several acquisitions over the years to expand its platform across social, advertising, customer care, communities, analytics, influencer marketing, and AI-powered intelligence. Here’s the acquisition timeline based on publicly available Sprinklr newsroom / investor press release sources:

• May 2026 - ViralMoment 
  Sprinklr acquired the assets of ViralMoment, an AI-powered social video intelligence and analytics solution, to strengthen multimodal customer intelligence across video, images, audio, and text. [sprinklr.com]
• December 2019 - Nanigans’ social advertising business 
  Sprinklr acquired Nanigans’ social advertising business, including data management, predictive analytics, optimisation, campaign management, and granular real-time reporting for Facebook, Instagram, and Twitter advertising. [sprinklr.com]
• November 2016 - Little Bird 
  Sprinklr acquired Little Bird, a Portland-based influencer identification and marketing platform that helps brands analyse social connections, discover topic-relevant influencers, build communities, and identify early trends. [sprinklr.com]
• April 2016 - Postano 
  Sprinklr acquired Postano, a social visualisation platform that helped brands bring social content and the voice of the customer into offline experiences through large-scale digital displays at events, stores, stadiums, and other physical spaces. [investors.sprinklr.com]
• November 2015 - Booshaka 
  Sprinklr acquired Booshaka, an audience segmentation and management platform that helped marketers connect customer data across social, web, mobile, ecommerce, and CRM systems to create more targeted and personalised social advertising campaigns. [sprinklr.com]
• June 2015 - NewBrand / newBrandAnalytics 
  Sprinklr acquired NewBrand, a location-specific text analytics software company, to add deeper customer insights, industry context, and predictive analytics from unstructured social and customer engagement data. [sprinklr.com]
• April 2015 - Scup 
  Sprinklr entered into an agreement to acquire Scup, a leading Brazilian social media monitoring, customer care, and analytics technology provider, to expand its social media management footprint in South America. [sprinklr.com]
• April 2015 - Get Satisfaction 
  Sprinklr acquired Get Satisfaction, an online customer community platform, to extend its Experience Cloud into multi-channel customer care and help brands manage customer experiences across social networks, websites, blogs, and communities. [investors.sprinklr.com]
• February 2015 - Pluck 
  Sprinklr acquired Pluck, an Austin-based integrated social community platform, to help brands make their websites more social through community applications such as ratings, reviews, social log-ins, and branded community experiences. [prweb.com]
• September 2014 - BRANDERATI 
  Sprinklr acquired BRANDERATI, an advocacy and influencer marketing platform, to bring customer advocacy and influencer activation into its paid, owned, and earned social media stack. [sprinklr.com]
• August 2014 - TBG Digital 
  Sprinklr acquired TBG Digital, a paid social advertising company, to create a converged media solution that helped brands plan, execute, measure, and optimise paid, owned, and earned social activity together. [sprinklr.com]
• February 2014 - Dachis Group 
  Sprinklr acquired Dachis Group, an Austin-based social and brand analytics company, adding brand analytics, content optimisation, employee advocacy, and social business consulting capabilities to its enterprise social platform. [sprinklr.com]

Sprinklr is pronounced "sprinkler" (spri-ng-kluhr). The name is a stylized spelling of the everyday word, chosen by founder Ragy Thomas back in 2009. It fits what the platform does: sprinkling brand messages, engagement, and insights across many channels at once.

Sprinklr is organized into four AI-powered product suites:  

• Sprinklr Service (contact center as a service platform),  
• Sprinklr Social (social media management platform),  
• Sprinklr Insights (consumer intelligence platform), and  
• Sprinklr Marketing (campaign planning and content marketing platform).  

All four share the same platform, data layer, and AI engine. 

Sprinklr Service is a cloud-native, AI-powered Contact Center as a Service (CCaaS) platform that unifies 30+ digital, social, and voice channels. It includes omnichannel routing, AI agent assist, self-service bots, quality management, workforce optimization, and real-time supervisor dashboards, all in a single workspace.

Sprinklr Social is the enterprise social media management platform for publishing, engagement, listening, analytics, and governance across 30+ channels. It supports multi-brand, multi-region operations with AI-powered content optimization, approval workflows, and crisis management automation.

Sprinklr Insights is a consumer intelligence platform that provides real-time social listening, brand monitoring, competitive benchmarking, product insights, visual insights, and media monitoring. It analyzes millions of conversations daily using AI-powered sentiment analysis across 100+ languages.

Sprinklr Marketing is an end-to-end solution for planning, creating, executing, and analyzing global marketing campaigns. It includes campaign planning, content marketing, social advertising across 8+ ad channels, and AI-driven content optimization, all from a centralized dashboard.

Sprinklr Social is most often compared with Sprout Social, Hootsuite, Khoros, Emplifi, Dash Hudson, and Agorapulse. Those tools focus mainly on publishing and engagement across different categories of teams. Sprinklr Social is purpose-built for enterprise scale, multi-brand governance, and AI-driven workflows across 30+ channels, on the same platform as Service, Insights, and Marketing.

Sprinklr Service is commonly evaluated against NICE CXone, Genesys Cloud CX, Five9, Talkdesk, Zendesk, Salesforce Service Cloud, and LivePerson. The key difference is that Sprinklr Service is a true digital-first CCaaS built on the same unified codebase as Sprinklr's social, marketing, and insights suites, with native AI agents and 30+ channels in a single agent workspace.

Sprinklr Insights is typically compared with Brandwatch, Talkwalker, Meltwater, NetBase Quid, Synthesio, and YouScan. Most of these are standalone listening tools. Sprinklr Insights goes further by tying listening signals directly into service tickets, marketing campaigns, and social engagement in real time, powered by 1,250+ proprietary AI models.

Sprinklr Marketing is compared with Adobe Experience Cloud (Marketo, AEM, AJO), Salesforce Marketing Cloud, HubSpot Marketing Hub, Percolate (now part of Seismic), Contentful, and Hootsuite Amplify. Sprinklr Marketing's advantage is unifying campaign planning, content production, paid social, and organic publishing in one workflow, with AI-driven content optimization built in.

Yes. Sprinklr offers modular purchasing, so enterprises can start with a single suite - Sprinklr Service, Sprinklr Social, Sprinklr Marketing, or Sprinklr Insights and expand over time as needs grow.

Importantly, even a single suite runs on the full Unified-CXM platform foundation: the shared data model, platform capabilities (Integrations, Sandbox, APIs, Active Data Retention, enterprise-grade security), and Sprinklr's AI layer are available from day one. This means there is no re-platforming when expanding - adding a second suite immediately unlocks cross-module data connectivity and unified AI context, because everything was built on one platform from the start.

Sprinklr natively supports 30+ social, messaging, voice, and digital channels, including Facebook, Instagram, X (Twitter), LinkedIn, TikTok, YouTube, WhatsApp, LINE, WeChat, Google Business Profile, Reddit, Threads, Snapchat, email, live chat, SMS, and voice. Custom channels can be added depending on the complexity of implementation.

The Sprinklr Platform is the shared foundation across all four suites. It includes AI+ Studio, Sprinklr Sandbox, Presentations, Display, Active Data Retention, governance controls, role-based permissions, SSO, an API framework, and integrations, providing enterprise-grade infrastructure for every customer-facing function.

Sprinklr Advocacy is part of Sprinklr Social. It's an employee advocacy platform where brands curate a library of pre-approved content that employees can share on their personal social networks with pre-set captions and scheduling on desktop or mobile. It amplifies brand reach, improves engagement, and supports recruiting and lead generation while keeping content on-brand and compliant.

Sprinklr operates a global Unified Partners program covering system integrators, consulting firms, technology providers, and agencies. Named SI and consulting partners include Accenture, Deloitte, NTT DATA, and Wipro, alongside cloud and platform partners like AWS, Microsoft, Google, Salesforce, Adobe, Oracle, and ServiceNow, plus channel and integration partners like Twilio, Zendesk, and Marketo.

Yes. Many global creative, media, and social agencies use Sprinklr on behalf of their brand clients through the Sprinklr Unified Partners program. Sprinklr supports multi-brand, multi-workspace agency setups with governance, approval workflows, and reporting tailored to agency-of-record deployments.

Sprinklr AI is the platform's purpose-built AI layer, drawing on over a decade of AI expertise to infuse every workflow, action, decision, and interaction with intelligence built specifically for customer experience management. Rather than applying generic, one-size-fits-all AI, Sprinklr matches the best model to each task, using industry-specific models built natively in 150+ languages and trained on 100M+ CX data points, spanning NLP, NLU, computer vision, speech recognition, and text-to-speech. 

It combines Sprinklr's own proprietary, domain-specific models with best-in-class third-party models (OpenAI, Google, Anthropic, and others), and powers three core experiences: AI Agents for autonomous customer and employee engagement, always-on Copilots that get work done through natural conversation, and AI+ Studio, which gives teams full transparency and control to manage models, providers, prompts, and pipelines. All of it runs with enterprise-grade privacy, auto-masking of PII, zero third-party data retention, and OECD-based responsible-AI governance. 

Sprinklr leverages 1,250+ industry-specific AI models spanning 150+ languages across the globe. These models process petabytes of unstructured text, audio, video, images, and time-series data with 90%+ accuracy to deliver sentiment analysis, intent detection, ticket routing, content recommendations, and more.

Sprinklr Copilot is a conversational AI assistant embedded across the platform. It lets users interact with dashboards through natural language queries, provides real-time anomaly alerts, and offers proactive recommendations. Specialized versions include Agent Copilot (for service agents), Marketing Copilot, and Customer Feedback Copilot.

Sprinklr AI Agents are autonomous tools that understand Sprinklr's data models and can handle customer interactions across voice, chat, email, and social channels while maintaining context. They include self-training capabilities, enterprise-grade safety guardrails, and the Spring '26 Autonomous Evaluation framework for transparent, auditable agent behavior.

Yes. Through AI+ Studio, enterprises can integrate any LLM, including OpenAI, Azure OpenAI, Google Vertex AI, Anthropic Claude, Amazon Bedrock, xAI, and even in-house models. This open-platform approach lets organizations choose the best-fit model for every task while maintaining centralized governance.

Sprinklr follows OECD-based Responsible AI (RAI) principles prioritizing fairness, transparency, and accountability. Built-in safeguards include PII masking, input and output guardrails, approval workflows, knowledge-base grounding, usage logging, feedback tracking, and monitoring dashboards, so enterprises can audit decisions and explain outputs.

AI+ Studio is Sprinklr's prompt engineering and AI workflow orchestration layer. It gives enterprises full control over prompt configuration, model selection, output customization, and GenAI governance. Teams can scale AI workflows across countries, languages, brands, and dimensions with centralized management.

Brands are increasingly discovered through ChatGPT, Gemini, Perplexity, and Claude, not just Google. Sprinklr helps brands monitor how they appear in LLM answers, track sentiment in AI-generated responses, and feed structured brand data, FAQs, and case studies into the channels LLMs crawl. Sprinklr LLM Insights helps marketing teams understand share of voice in AI conversations.

Yes. Sprinklr's Insights (LLM Insights) and Social suites give brands the data layer needed for AEO and GEO. That includes tracking brand mentions across AI engines, identifying which content gets cited by LLMs, and surfacing gaps where competitors are getting referenced more often. Combined with structured data, FAQ schema, and high-authority content, this helps brands rank in AI answers.

Yes, for a growing share of interactions. Sprinklr's AI Agents resolve common queries across voice, chat, social, and messaging using grounding from your knowledge base, your tone of voice, and your product data. For sensitive or complex cases, they hand off to a human agent with the full conversation context preserved, so customers never have to repeat themselves.

Marketing teams use two tightly integrated suites on the Unified-CXM platform:

• Sprinklr Marketing covers Content Marketing and Campaign Planning, Social Advertising, Unified Analytics, and Ad Comment Moderation - enabling teams to plan campaigns, produce and optimize content, run paid social at scale, moderate ad engagement, and measure performance across every channel from one view.
• Sprinklr Social covers Social Publishing and Engagement, Social Marketing for Distributed Teams (governed publishing across regions, brands, and franchises), and Employee Advocacy.

AI is embedded across the workflow: AI-assisted content production helps reduce content costs, AI-driven insights optimize campaigns and ad spend, and because Marketing and Social share a data model with Service and Insights, marketers act on real customer signals - service issues, social sentiment, emerging trends - rather than operating in a channel silo.

Sprinklr Service is an AI-native, omnichannel contact center (CCaaS) suite delivering a Unified Agent Desktop across voice, chat, email, social, and messaging - one workspace, every channel, full customer context. 

The suite spans the full-service lifecycle: 

• Reach customers anywhere: Inbound and Outbound Contact Center, Social Customer Service, Live Chat Support, Sprinklr VoiceConnect (telephony), Community Software 
• Automate and deflect: Sprinklr AI Agents for autonomous self-service, Conversational IVR, Guided Workflows, Knowledge Base Platform 
• Empower agents: Agent Copilot for real-time AI assistance, Omnichannel Routing to get every inquiry to the right agent or AI agent 
• Manage and optimize operations: Supervisor Console, Quality Management, Workforce Management, Conversational Analytics, Omnichannel Surveys, Reporting and Analytics, and a real-time Service Command Center 

The results enterprises report: faster response times, improved first-contact resolution, and significantly lower operational costs through channel and tooling consolidation.

Sprinklr Insights provides real-time social listening, sentiment analysis, competitive benchmarking, visual intelligence, media monitoring, and product and location insights. Research teams use it to monitor 850+ topics simultaneously, identify emerging trends, and deliver actionable reports to stakeholders across the organization.

Yes. Sprinklr is purpose-built for global scale, supporting multiple brands, regions, languages, and teams on one platform with centralized governance. Enterprises can manage 100+ social accounts, enforce brand guidelines per market, and maintain consistent customer experiences across diverse geographies.

Sprinklr provides configurable solutions tailored to industry verticals including financial services, healthcare, technology, retail and CPG, telecom, automotive, and government. These include pre-configured compliance workflows, industry-specific AI models, and vertical benchmarking dashboards.

Sprinklr detects threats to brand reputation in real time using AI-powered anomaly detection and sentiment monitoring. When a crisis is identified, automated workflows pause scheduled publishing, route alerts to designated teams, and activate response protocols, so enterprises can mitigate risk in minutes, not hours.

Yes, and this is Sprinklr's core differentiator. Because all four suites share one data model, a sentiment signal in Social can be cross-referenced with ticket volume in Service, campaign performance in Marketing, and competitive data in Insights, with no integrations or data stitching. No point solution or loosely integrated suite can replicate this.

LLM Insights, part of Sprinklr Insights, is Sprinklr's AI-native Answer Engine Optimization (AEO) product. It helps brands measure and optimize how they appear in answers generated by large language models - an increasingly important channel as customers turn to AI assistants for research and recommendations. Alongside Social Listening, Competitive Insights and Benchmarking, Product Insights, Location Insights, Visual Insights, and Sprinklr Surveys, it gives enterprises a complete view of brand perception across both human and AI-mediated channels.

Global brands often struggle with fragmented teams, inconsistent messaging, and disconnected tools across regions. Sprinklr Social provides a unified environment for publishing, engagement, listening, analytics, and governance across 30+ social channels, enabling brands to manage multiple markets, business units, agencies, and languages from a single platform. Teams can enforce approval workflows, brand guidelines, and compliance requirements while still giving local teams the flexibility to create market-relevant content. This helps enterprises operate as one brand globally while scaling efficiently across regions.

Sprinklr takes a privacy-by-design approach to GDPR compliance. As a cloud service provider, Sprinklr generally acts as a data processor on behalf of its customers, who act as data controllers and determine the purposes and means of processing personal data within Sprinklr’s platform. Sprinklr supports customers in meeting their GDPR obligations through contractual commitments, technical and organisational safeguards, privacy governance, and platform capabilities designed to protect personal data.  

Key elements of Sprinklr’s GDPR programme include: 

• Comprehensive Data Processing Agreement (DPA): Sprinklr offers a DPA that incorporates the GDPR Article 28 requirements, clarifies the controller/processor relationship, and includes appropriate mechanisms for international data transfers, including the EU Standard Contractual Clauses and UK transfer provisions where applicable. 
• Dedicated Privacy Governance: Sprinklr maintains a dedicated privacy team and works with an external Data Protection Officer. The privacy programme supports product development, general governance, audits, contractual compliance, regulatory assessments, customer requests, and incident management.  
• Privacy by Design and Default: Privacy considerations are embedded throughout the product lifecycle from ideation phase, as part of Sprinklr’s new product introduction process. Sprinklr’s privacy principles include data minimisation, purpose limitation, transparency, security, accountability, retention management, and respect for individual’s privacy rights.  
• Security Controls: Sprinklr implements technical and organisational measures designed to protect personal data as set out in its Enterprise Security Addendum, including encryption, access controls, secure development practices, monitoring, vulnerability management, and incident response processes.  
• Support for Data Subject Rights: Sprinklr provides capabilities and processes to assist customers with responding to data subject requests, including access, rectification, deletion, consent withdrawal, and other privacy rights, where applicable.  
• Transparency and Accountability: Sprinklr publishes information regarding subprocessors, maintains privacy notices, and other customer-facing documentation on its Trust Portal, and continuously monitors evolving privacy laws to support ongoing compliance.  

Importantly, GDPR compliance is a shared responsibility. While Sprinklr provides the platform, security controls, contractual protections, and processor commitments, customers remain responsible for determining the lawful basis for processing, configuring their use of the platform appropriately, and meeting their obligations as data controllers.

Sprinklr Privacy Cloud is a suite of privacy management capabilities within the Sprinklr platform that helps customers manage privacy-related requests and operationalise compliance with certain obligations relating to individual rights under data protection laws such as the GDPR. It is designed to support customers in responding to data subject rights requests, including access, correction, deletion and consent-related requests.  

Privacy Cloud includes workflow-driven tools that help customers: 

• Deal with data subject access requests (DSARs) and provide individuals with information about their personal data.  
• Correct or update personal data where appropriate.  
• Delete personal data in support of right to erasure requests.  
• Manage consent withdrawal and objections to processing.   
• Track and manage privacy requests through configurable privacy workflows.  

As a service provider and processor, Sprinklr provides these tools to help customers meet their privacy obligations. Customers remain responsible for determining the lawful basis for processing, assessing and validating requests, and meeting their obligations as data controllers under applicable privacy laws.  

In short: Privacy Cloud helps customers operationalise privacy compliance within Sprinklr by providing tools to manage privacy rights requests and associated workflows in a scalable and auditable manner

Yes. Sprinklr supports customers in responding to data subject rights requests through a combination of contractual commitments, operational processes and platform capabilities, including Privacy Cloud. These capabilities are designed to help customers manage requests relating to access, rectification, deletion and consent management in accordance with applicable privacy laws, including the GDPR.  

When Sprinklr acts as a processor, Sprinklr processes personal data only on the documented instructions of its customers, who act as data controllers. In this role, Sprinklr assists customers with fulfilling data subject rights requests and provides tools and workflows to help customers identify, access, correct or delete personal data held within the platform. The customer remains responsible for validating requests and determining how they should be handled under applicable law.  

When Sprinklr acts as a controller, such as for its own employee, applicant, marketing, business contact or website visitor data, Sprinklr maintains internal policies and procedures to receive, assess and respond to data subject rights requests in accordance with applicable privacy laws. Sprinklr's privacy programme is supported by a dedicated privacy team and an externally appointed Data Protection Officer

Sprinklr provides a comprehensive role-based access control (RBAC) framework that enables customers to manage user access based on business need and the principle of least privilege. Customers can define roles and permissions to control which users can view, access, modify, export or administer data and platform functionality.  Key capabilities include: 

• Role-based permissions that allow customers to restrict access to specific platform features, modules and administrative functions.  
• Granular access controls that help customers determine which users can view and manage customer data within the platform.  
• Segregation of duties through configurable user roles and permission sets, enabling customers to align access with organisational responsibilities.  
• Governance controls that allow customers to manage permissions across business units, teams and functions.  
• Integration with broader security controls, including authentication, monitoring and audit capabilities, to help customers protect personal data and other sensitive information 

As a processor, Sprinklr provides the tools and security controls that enable role-based access management. Customers remain responsible for configuring user permissions appropriately and determining which users should have access to personal data and platform features based on their own security and compliance requirements.  Sprinklr's role-based access controls enable customers to implement least-privilege access, restrict access to data and functionality based on user roles, and support governance and compliance requirements through granular permission management.

Sprinklr recognises that personal data should not be retained for longer than necessary to fulfil the purpose for which it was collected. Data retention is a core element of Sprinklr’s privacy programme and privacy-by-design approach.  

For customer data processed by Sprinklr as a processor, customers control the retention of their data and determine how long it should be retained within the platform either through Active Data Retention, data retention policy configurations or manual deletion of data. Sprinklr provides capabilities that support customer-defined retention practices and data lifecycle management. Upon termination of services, Sprinklr’s Data Processing Addendum includes provisions governing the return or deletion of customer data where possible, in accordance with contractual requirements and applicable law.  

For personal data that Sprinklr processes as a controller, Sprinklr applies retention periods based on the purpose of the processing, legal requirements and business needs. Sprinklr's internal privacy programme requires personal data to be retained only for as long as necessary and then securely deleted or anonymised where appropriate.  

In support of these principles, Sprinklr: 

• Maintains data retention practices designed to prevent personal data from being kept longer than necessary.  
• Supports automated data lifecycle management, including deletion and archival capabilities where configured by customers.  
• Assists customers with data deletion requests through its privacy and data subject rights capabilities.  
• Applies appropriate security controls to protect data throughout its lifecycle.  

Sprinklr's approach to data retention is based on purpose limitation and data minimisation principles. Customers determine retention requirements for customer data processed in the platform, while Sprinklr maintains internal retention policies and processes for data it processes as a controller.

Sprinklr offers capabilities that can help customers protect personal data within the platform, including PII masking, governance controls and field-level encryption for certain types of data. These controls are designed to reduce exposure to sensitive information where possible and support customers' privacy and compliance requirements.  

For AI-enabled workflows, whether personal data is masked depends on the specific product, feature, data type and customer configuration. Sprinklr does not make a blanket commitment that all personal data is automatically masked across all AI use cases. Instead, customers can leverage available privacy and governance controls to manage access to personal data and reduce the visibility of sensitive information where supported.  

Sprinklr provides PII masking, encryption and governance capabilities in certain workflows and for certain data, that can help protect personal data used within AI-enabled workflows. The availability and application of these controls depends on the specific Sprinklr product, feature set and customer configuration, and customers remain responsible for determining how personal data should be managed within their use of the platform.

Sprinklr operates a global privacy programme designed to support compliance with evolving privacy laws around the world, including India's Digital Personal Data Protection Act (DPDP Act) and other regional privacy frameworks across APAC. Sprinklr takes a principles-based approach to privacy, enabling it to address common regulatory requirements relating to transparency, security, accountability, data subject rights and lawful processing.  

As a service provider, Sprinklr generally acts as a data processor on behalf of its customers and processes personal data in accordance with customers' documented instructions and applicable contractual commitments. Sprinklr's Data Processing Addendum (DPA) defines the respective responsibilities of Sprinklr and its customers and includes commitments relating to data protection, security, subprocessors and international data transfers.  

Key elements of Sprinklr's privacy programme include: 

• A dedicated privacy team and externally appointed Data Protection Officer.  
• Privacy-by-design and privacy-by-default principles incorporated into product development and business processes.  
• Technical and organisational security measures designed to protect customer data, including access controls, encryption and incident response processes 
• Support for data subject rights requests through operational processes and Privacy Cloud capabilities.  
• Ongoing monitoring of developments in global privacy laws to support compliance across jurisdictions, including GDPR, CCPA/CPRA, LGPD, DPDP Act and other emerging privacy frameworks.  

Because privacy requirements vary between jurisdictions, customers remain responsible for determining the legal basis for their processing activities, configuring the platform appropriately, and meeting their obligations as data controllers under applicable local laws, including the DPDP Act and other APAC regulations. Sprinklr provides the contractual, technical and organisational measures intended to support customers in meeting those obligations.  

Sprinklr maintains a global privacy programme that is designed to support compliance with major privacy laws worldwide, including India's DPDP Act and other APAC data protection regulations, through privacy governance, security controls, contractual protections and privacy management capabilities.

Sprinklr integrates with leading CRM platforms including Salesforce, Microsoft Dynamics 365, and SAP. These integrations enable bidirectional data sync, unified customer profiles, and seamless handoffs between marketing, sales, and service workflows. (View all integrations)

Yes. Sprinklr offers a dedicated Unified CX Connector for Salesforce Service Cloud (available on AppExchange) that connects 30+ voice, social, and messaging channels directly into Service Cloud. It includes AI agent assist, smart summaries, and real-time insights, and is trusted by enterprises.

Yes. Sprinklr integrates with multiple Adobe products including Adobe Experience Platform, Adobe Experience Manager, Adobe Analytics, Adobe Marketo Engage, and Adobe Express. The Spring '26 roadmap includes Adobe CJA and Assets bidirectional connectors.

Sprinklr's integration ecosystem includes 30+ enterprise connectors spanning analytics (Google Analytics, Amplitude, AppsFlyer), productivity (Slack, Microsoft Teams, Jira), DAM (Aprimo, BoxNet, Getty Images), marketing automation (Marketo, HubSpot), and data platforms (Amazon Bedrock, Anthropic, Treasure Data, Domo).

Yes. Sprinklr provides comprehensive RESTful APIs with webhooks for custom integrations. The platform is moving to standardized industry-grade API v3 with a revamped developer portal and low-code and no-code capabilities planned for the 26.7 release.

Yes. Sprinklr AI+ Studio supports integrations with OpenAI, Azure OpenAI, Google Vertex AI, Anthropic Claude, Amazon Bedrock, Adobe Firefly, and xAI, as well as bring-your-own-model (BYOM) capabilities for enterprises with proprietary LLMs.

Sprinklr is trusted by the world's most iconic brands including Samsung, LG, Prada, Infosys, Ford, Acer, IKEA, Deutsche Telekom, Santander, Allstate and 59% of the Fortune 100. These enterprises rely on Sprinklr for mission-critical customer engagement at global scale.

Highlights include Microsoft managing 40M+ inbound messages across 1,800 social accounts with 30% faster response times, Moen achieving 18x faster response times, Shell managing 100+ social accounts from one platform, Santander UK reaching 100M+ people with 1.5M+ engagements, and a healthcare company reducing content production costs by 40%. (View Customer Stories)

Yes. Sprinklr's FedRAMP authorization and GSA Schedule contracts enable U.S. federal agencies to procure and deploy the platform. Sprinklr has been trusted by government organizations for citizen engagement, social listening, and public affairs management.

Sprinklr Service holds an 8 out of 10 rating on TrustRadius with 59 reviews, and has been awarded the TrustRadius Top Rated badge for five consecutive years (2022 to 2026) across customer service and social media management categories.

Yes. Sprinklr has established migration playbooks for common competitive takeout scenarios, including migrations from Sprout Social, Khoros, LivePerson, Medallia, Hootsuite, and other point solutions. Dedicated migration support ensures a smooth transition with minimal disruption.

Yes. Sprinklr's professional services team handles historical data migration including social profiles, conversation history, case data, knowledge base content, and configuration settings. Data is mapped to Sprinklr's unified data model to ensure continuity and compliance.

Sprinklr provides end-to-end migration support including current-state assessment, data mapping, phased migration planning, parallel-run periods, user training, and post-migration validation. Enterprise customers also receive dedicated migration project managers.

Sprinklr manages API migrations systematically. For example, upgrading from legacy to new API modes for LinkedIn, transitioning to Dual API Mode, and supporting Salesforce BYOC and voice SCV connectors. API v3 standardization is underway for industry-grade consistency.

Sprinklr designs migration plans for zero or minimal downtime. Phased execution, parallel-run strategies, and cross-region disaster recovery capabilities ensure that production services remain uninterrupted during the migration process.

This is a common misconception on Reddit and review sites. While Sprinklr is built for enterprise scale, mid-market brands and high-growth companies also use it, especially when they need to consolidate point tools, manage multiple brands or regions, or unify social, service, and marketing on one data layer. The fit is less about company size and more about complexity.

No. Social media management is just one suite. Sprinklr is a Unified-CXM platform that also includes contact center (Sprinklr Service), consumer intelligence & social listening (Sprinklr Insights), and marketing campaign management (Sprinklr Marketing), all on a single codebase. Calling it 'just a social tool' misses the unified architecture that is the actual reason enterprises pick it.

Sprinklr is a deep platform, so the learning curve depends on what you are doing. For everyday publishing, engagement, and listening, most users get productive in days. Admin-level configuration and cross-suite workflows take longer, and that is why Sprinklr provides onboarding, certification programs, in-app guidance, and Customer Success Managers for enterprise accounts.

No. Listening on Sprinklr goes beyond keyword tracking. It uses 1,250+ AI models for sentiment, intent, emotion, topic, and visual detection, including brand logo recognition in images and videos. It also blends in news, blogs, review sites, and forums, not just social networks, giving a much fuller picture than keyword-only tools.

No. Sprinklr supports 150+ languages with native AI models for sentiment and intent, covering markets across the Americas, Europe, the Middle East, Africa, and APAC. Insights and Service workflows can be configured per market while still rolling up to a global dashboard. 

No. Publishing on Sprinklr includes a unified editorial calendar, AI-powered send-time optimization, multi-level approval workflows, compliance checks, asset libraries, dark posts, paid amplification, and dynamic localization for global brands. It supports both lightweight publishing and complex multi-region, multi-brand publishing programs.

No. Scheduling supports recurring posts, queue-based publishing, optimal send-time recommendations, time-zone aware rollouts, and approval-gated scheduling. Crisis controls can also pause scheduled posts platform-wide in real time.

No. Sprinklr ships with out-of-the-box dashboards for engagement, reach, sentiment, CSAT, NPS, agent productivity, and campaign ROI, plus a drag-and-drop dashboard builder. Reports can be scheduled, exported as XLS, CSV, or PDF, and shared with stakeholders automatically.

No, Sprinklr complements them. It integrates bidirectionally with Salesforce, Microsoft Dynamics 365, SAP, Marketo, HubSpot, and others. Sprinklr owns the customer-facing engagement layer, while CRMs own the system of record, the two working together for a unified customer view.