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- Helpshift vs Sprinklr
Helpshift vs Sprinklr
Side-by-side comparison for 2026
| Feature | Helpshift | Sprinklr |
|---|---|---|
| Starting Price | From $150/mo | From $249/seat/mo |
| Best For | Mobile apps needing in-app customer support | Large enterprises and Fortune 100 companies needing comprehensive social media management with advanced governance, compliance, and multi-channel customer service capabilities |
| Standout Feature | Native in-app messaging SDK for mobile apps | Enterprise-grade AI platform trained on billions of data points with support for 30+ channels and advanced governance features for highly regulated industries |
| Free Plan | ✗ | ✗ |
| G2 Rating | 4.3/5 | 4.1/5 |
Helpshift and Sprinklr serve different aspects of customer engagement. Helpshift specializes in in-app customer support and mobile-first help desk solutions, while Sprinklr provides comprehensive customer experience management with strong social media and marketing capabilities.
The choice between these platforms depends on whether you need mobile-focused customer support or enterprise-wide customer experience management.
Feature Comparison
Helpshift excels in mobile customer support with in-app messaging, automated issue resolution, smart FAQs, and seamless escalation to human agents. It's designed specifically for mobile apps and games, offering features like screenshot annotation, device diagnostics, and user journey tracking.
Sprinklr provides a comprehensive customer experience platform covering social media management, content planning, advertising optimization, customer care, and advanced analytics. It includes AI-powered insights, workflow automation, and enterprise-grade security for complex organizational needs.
The platforms address different customer touchpoints: Helpshift focuses on in-app support experiences, while Sprinklr manages entire customer journeys across social, digital, and traditional channels.
Pricing Comparison
Helpshift uses custom pricing based on app usage, support volume, and feature requirements. This typically makes it cost-effective for mobile-focused businesses but pricing can vary significantly based on scale and needs.
Sprinklr's enterprise pricing starts at $249 per user per month with custom pricing for larger implementations. The premium pricing reflects its comprehensive feature set but can become expensive for organizations needing multiple seats.
While both platforms use custom pricing, Helpshift generally offers more affordable options for mobile-focused support, while Sprinklr's costs reflect its enterprise-grade comprehensive capabilities.
Helpshift
Pros
- ✓ Mobile-first
- ✓ Strong SDK
- ✓ In-app experience
Cons
- ✗ Issue-based pricing caps
- ✗ Mobile-focused
- ✗ Complex integration
Sprinklr
Pros
- ✓ Comprehensive enterprise-grade platform with advanced AI capabilities
- ✓ Supports 30+ social and messaging channels including WhatsApp, Telegram, Instagram, and Discord
- ✓ Robust governance features with approval workflows and audit trails
Cons
- ✗ Expensive per-seat pricing at $249/seat/month ($199 billed annually)
- ✗ Complex implementation that can take months to complete
- ✗ Steep learning curve requiring significant training and support
Verdict
Choose Helpshift if you need mobile-first customer support, in-app messaging, and cost-effective support automation. Choose Sprinklr if you require enterprise-scale customer experience management with advanced social media and analytics capabilities.
Choose Helpshift if: You have mobile apps or games, need in-app customer support, want automated issue resolution, prioritize mobile user experience, and need cost-effective support automation.
Choose Sprinklr if: You're an enterprise managing comprehensive customer experiences, need advanced social media management, require detailed analytics and reporting, and have budget for premium enterprise tools.
Alternative to consider: Converge offers multi-channel customer communication at $49/month flat rate, providing support capabilities across channels without mobile-specific limitations or enterprise complexity.
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