Convert vs Sprig Pricing (2026)
How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.
Growth
Popular- A/B Testing, Split URL Testing
- Advanced Targeting & Goals
- Behavioral Targeting
- SRM Check
- QA Wizard
- Collaborators
- Email and In-App Live Chat Support
- MCP Server
- Convert Heatmaps
- Convert Signals®
- Versioning Roll-Out
Pro
- Multivariate Testing, Multi-Page Testing
- Guided Onboarding
- Full Stack & Feature Flags
- Sequential Testing
- Change History
- Raw Test Data Export
- Phone Support
- Single Sign-On (SSO)
- MCP Server
- Convert Heatmaps
- Convert Signals®
- Multi-Arm Bandit (Auto-Allocate)
- Remove Data from Report
- Versioning Roll-Out
- Custom Pop-ups
Enterprise
- Unlimited Projects Per Account
- Bring Your Own ID (BYOID)
- Data Segregation (Additional costs apply)
- Redlining Contracts
- Request for Information & Proposals
- Custom Payments & Terms
- Enterprise Service Level Agreement (SLA)
- MCP Server
- Convert Heatmaps
- Convert Signals®
- Multi-Arm Bandit (Auto-Allocate)
- Remove Data from Report
- Versioning Roll-Out
- Custom Pop-ups
Free
- Core survey capabilities
- Limited responses
- AI-assisted study design and synthesis
Starter
- Higher response limits
- Concept and prototype testing
- Voice and video responses
- Expanded AI analysis
Enterprise
- Design, Field, and Synthesize Agents
- Adaptive survey architecture
- Omnichannel participant reach (link, email, web, and mobile)
- AI-powered study design and analysis
- Organizational governance and access controls
- Enterprise security and compliance
Convert vs Sprig FAQ
- Which one is cheaper?
- One or both use custom pricing, so it depends on your specific needs.
- Can I use either one for free?
- Sprig has a free plan. Convert doesn't — though they do offer a free trial.
- How do they charge?
- Different approach here. Convert uses usage-based pricing, while Sprig goes with custom. That changes the math depending on your team size and usage.
- Which one is a better deal?
- Depends on what you need. Convert: Convert sits in the mid-to-premium range for experimentation tools — cheaper than Optimizely or Adobe Target, but not trying to compete on price with entry-level tools like VWO's lower tiers. They're clearly targeting data-savvy, privacy-conscious teams (the TIST tree-planting angle reinforces a values-driven buyer profile). Sprig: Sprig is positioning as a premium player in the continuous product discovery space, competing with tools like Pendo, Hotjar, and UserTesting — but with a tighter focus on in-context micro-surveys and AI-powered analysis. Hiding Starter pricing signals they're not trying to win on cost; they're selling on research quality and product integration depth, likely targeting mid-market and above.
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