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.

Convert Databox
Starts at $399/mo $64/mo
Number of plans 3 5
Free plan
Free trial
Pricing model usage-based hybrid

Enterprise

Custom
  • 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)

Pro

$599/mo
  • 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)

Growth

Popular
$399/mo
  • A/B Testing, Split URL Testing
  • Advanced Targeting & Goals
  • Behavioral Targeting
  • SRM Check
  • QA Wizard
  • Collaborators
  • Email and In-App Live Chat Support

Free

$0/mo
  • Cloud integrations
  • BI features (limited*)

Analyst

$64/mo
  • All integrations
  • BI features
  • Datasets
  • MCP server & API

Pro

$159/mo
  • All integrations
  • BI features
  • MCP server & API
  • Sharing & Notifications
  • Datasets (limited*)

Growth

Popular
$399/mo
  • Datasets
  • 15-min sync*
  • Forecasting
  • Sub-accounts
  • Dedicated CSM

Custom

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: At $399-599/mo before custom Enterprise pricing, Convert sits in the premium tier of the CRO/experimentation space — well above lightweight tools but positioned as a privacy-focused alternative to Optimizely and VWO for teams that care about data ownership. It's clearly not chasing budget-conscious buyers; the lack of a free plan reinforces that. Databox: Databox sits mid-market — pricier than bare-bones dashboard tools but cheaper than enterprise BI platforms like Domo or Looker. They're clearly chasing marketing agencies and SMBs who want plug-and-play reporting without hiring a data analyst or paying enterprise BI prices.

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