Gupshup is a conversational engagement platform that allows businesses to create, deploy, and manage AI-driven chatbots and virtual agents across more than 30 messaging channels, including WhatsApp, SMS, RCS, Instagram, and voice. The platform provides tools for building conversational flows, automating customer interactions, and running marketing campaigns through messaging. Gupshup offers an AI agent builder that enables businesses to design agents capable of handling customer support, lead generation, commerce transactions, and marketing outreach without requiring deep technical expertise. It also provides APIs for developers to integrate messaging capabilities into existing applications. The platform is used across industries such as banking, retail, healthcare, and travel to automate customer journeys and improve engagement. Gupshup supports both no-code and low-code approaches, making it accessible to business users as well as developers. Its infrastructure handles billions of messages per month globally.
Target audience and deployment
- SMB
- Mid-market
- Enterprise
- Cloud
- API
AI Overview
Performance snapshot
Gupshup is a conversational messaging platform positioned primarily around WhatsApp, SMS, and chatbot automation for mid-market and enterprise users. Usability and functionality are consistently rated Strong, with broad appreciation for ease of use, API flexibility, and AI-powered chatbot capabilities. Support is a persistent weak point, with slow response times flagged across multiple years and platforms. Cost-effectiveness receives mixed signals, with pricing seen as high for SMEs.
Pros
- Highly regarded for ease of use; the platform is consistently described as intuitive and simple to navigate even for non-technical users.
- Strong API integration capabilities, enabling smooth connection with CRMs such as HubSpot and Zoho, as well as custom enterprise systems.
- AI-powered chatbot features and Bot Studio are highlighted as differentiating capabilities for automated customer engagement.
- Reliable message delivery with near-zero downtime reported across SMS and WhatsApp channels at high volumes.
- Dedicated Customer Success Managers are frequently praised as a significant compensating factor for broader support gaps.
Cons
- Support response times are slow and inconsistent; multiple reviewers report delays of days or weeks for non-emergency issues, with poor ticket ownership.
- Pricing is viewed as expensive relative to alternatives, particularly for SMEs and for billing-related queries.
- WhatsApp-specific features are perceived as underdeveloped compared to SMS capabilities, with fewer integrations on the WhatsApp channel.
- UI/UX has legacy characteristics; some reviewers note non-intuitive workflows, clunky journey management, and fragmented logins across modules.
- Reporting and analytics are limited; multiple reviewers request dashboard-style reports rather than CSV exports only.
Performance breakdown
Usability
StrongA large majority of reviewers across platforms describe the platform as easy to use, user-friendly, and simple to navigate. A minority note non-intuitive UX in specific modules such as WhatsApp campaign creation and journey management.
Functionality
StrongReviewers broadly praise multi-channel coverage (SMS, WhatsApp, chatbots), API flexibility, campaign management, and AI capabilities. Recurring enhancement requests center on richer WhatsApp-specific features, deeper reporting dashboards, and more integrations, but these are improvement wishes rather than functional failures.
Reliability & performance
StrongReviewers consistently cite reliable message delivery, near-zero downtime, and fast processing as strengths. Isolated mentions of occasional SMS delivery delays and minor glitches exist but are not recurring themes across the dataset.
Support
MixedSupport sentiment is sharply divided. Dedicated Customer Success Managers receive strong praise, but general after-sales support is frequently criticized for very slow response times, lack of ownership, and inefficient billing resolution — with one reviewer describing it as among the worst support experiences encountered. This pattern recurs across multiple years and platforms.
Cost-effectiveness
MixedSeveral reviewers cite low cost or good value as a positive, while others — particularly SME users — describe pricing as high relative to alternatives, with one reviewer noting sudden price increases without notice. Overall sentiment is split, yielding a mixed rating.
Best for
Gupshup is best suited for mid-market and enterprise marketing, CRM, and customer engagement teams in South Asia that need scalable WhatsApp and SMS campaign automation, API-driven integrations, and AI chatbot capabilities, and who have a dedicated account manager relationship to offset support limitations.
Users info
Reviewers are predominantly from mid-market (51–1000 employees) and enterprise (1000+ employees) organizations, with a smaller proportion from small businesses. Roles span marketing, CRM, product management, operations, and IT functions, with digital marketing managers, product managers, and CRM specialists most frequently represented. Industries include financial services, education, retail, automotive, consumer goods, IT services, and health and wellness. Top user industries include Information Technology and Services, Financial Services, Education Management, Retail, Automotive, Consumer Goods, Health, Wellness and Fitness. Typical user roles include Digital Marketing Manager, Product Manager, CRM Associate / Automation Specialist, Customer Experience Manager, IT Manager, Operations Lead. Typical company size bands include Mid-Market (51–1000 employees), Enterprise (1000+ employees), Small-Business (50 or fewer employees).
Review strength
After de-duplication — removing GetApp reviews that were syndicated from Capterra using matching review IDs and near-identical text — the dataset contains approximately 88 unique reviews drawn from three review platforms. The date range spans from late 2018 to mid-2026, with a meaningful share of reviews (roughly 30%) published before mid-2022 and therefore more than three years old; findings from older reviews should be interpreted with some caution, particularly for UI and support assessments. Review date range: 2018-12-08 - 2026-06-11.
Performance breakdown
Usability
StrongA large majority of reviewers across platforms describe the platform as easy to use, user-friendly, and simple to navigate. A minority note non-intuitive UX in specific modules such as WhatsApp campaign creation and journey management.
Functionality
StrongReviewers broadly praise multi-channel coverage (SMS, WhatsApp, chatbots), API flexibility, campaign management, and AI capabilities. Recurring enhancement requests center on richer WhatsApp-specific features, deeper reporting dashboards, and more integrations, but these are improvement wishes rather than functional failures.
Reliability & performance
StrongReviewers consistently cite reliable message delivery, near-zero downtime, and fast processing as strengths. Isolated mentions of occasional SMS delivery delays and minor glitches exist but are not recurring themes across the dataset.
Support
MixedSupport sentiment is sharply divided. Dedicated Customer Success Managers receive strong praise, but general after-sales support is frequently criticized for very slow response times, lack of ownership, and inefficient billing resolution — with one reviewer describing it as among the worst support experiences encountered. This pattern recurs across multiple years and platforms.
Cost-effectiveness
MixedSeveral reviewers cite low cost or good value as a positive, while others — particularly SME users — describe pricing as high relative to alternatives, with one reviewer noting sudden price increases without notice. Overall sentiment is split, yielding a mixed rating.
Review strength
After de-duplication — removing GetApp reviews that were syndicated from Capterra using matching review IDs and near-identical text — the dataset contains approximately 88 unique reviews drawn from three review platforms. The date range spans from late 2018 to mid-2026, with a meaningful share of reviews (roughly 30%) published before mid-2022 and therefore more than three years old; findings from older reviews should be interpreted with some caution, particularly for UI and support assessments. Review date range: 2018-12-08 - 2026-06-11.
Key features
Use cases
- Automate customer support across messaging channels
- Run conversational marketing campaigns
- Generate and qualify leads through chat
- Enable conversational commerce
- Build and deploy AI agents for business workflows
- Integrate messaging APIs into existing applications
Best for
- Customer support teams who need to automate high-volume query resolution across messaging channels
- Marketing managers who need to run interactive conversational campaigns on WhatsApp and SMS
- Developers who need to integrate multi-channel messaging APIs into business applications
- Enterprise businesses who need to deploy AI agents for customer engagement at scale
- Retail and e-commerce brands who need to enable end-to-end conversational commerce experiences
Integrations
Automation platforms
Zapier
Communication
WhatsApp, Slack
CRM & sales
Salesforce, HubSpot, Zoho CRM
AI models included
OpenAI
Analytics & BI
Google Analytics
E-commerce
Shopify
Customer support
Zendesk, Freshdesk
Other
Google Business Messages, RCS