Convert vs Databox 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
- Cloud integrations
- BI features (limited*)
Analyst
- All integrations
- BI features
- Datasets
- MCP server & API
Pro
- All integrations
- BI features
- MCP server & API
- Sharing & Notifications
- Datasets (limited*)
Growth
Popular- Datasets
- 15-min sync*
- Forecasting
- Sub-accounts
- Dedicated CSM
Custom
- White-labeling
- Advanced security
- Single sign-on (SSO)
- Account setup
- Priority support
Convert vs Databox FAQ
- Which one is cheaper?
- Databox is the cheaper option, starting at $64/mo vs $399/mo for Convert.
- Can I use either one for free?
- Databox 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 Databox goes with hybrid. 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). Databox: Databox sits in the mid-market of the BI/dashboard space — more accessible than Tableau or Looker, but priced above lightweight tools like Whatagraph or Klipfolio's entry tiers. They're going after marketing and ops teams who want pre-built integrations and speed-to-insight without a data engineering team.
Still deciding? See the best Convert alternatives or the best Databox alternatives, ranked with verified pricing.
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