Sprig Pricing (2026)

Fully custom pricing across both paid tiers, with enterprise scaling tied to response volume, active research features, deployment environments, and onboarding support — so you're essentially paying for research throughput and operational complexity. The free tier exists as a hook, but the real value metric is how many survey/study responses you're collecting and how many product surfaces you're instrumenting.

3 plans custom Free plan
Free
$0/mo
Starter
Contact Sales
Enterprise
Contact Sales
Verified Jul 25, 2026 Official pricing page
Screenshot of Sprig's pricing page showing its plans and prices
Their pricing page, captured Jul 25, 2026

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Free

$0/mo
  • Core survey capabilities
  • Limited responses
  • AI-assisted study design and synthesis

Starter

Contact Sales
  • Higher response limits
  • Concept and prototype testing
  • Voice and video responses
  • Expanded AI analysis

Enterprise

Contact Sales
  • 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

AI Pricing Analysis

Pricing Model

Fully custom pricing across both paid tiers, with enterprise scaling tied to response volume, active research features, deployment environments, and onboarding support — so you're essentially paying for research throughput and operational complexity. The free tier exists as a hook, but the real value metric is how many survey/study responses you're collecting and how many product surfaces you're instrumenting.

Tier Strategy

Free is for solo PMs or early-stage teams kicking the tires on in-product research; Starter is the opaque middle ground likely targeting growth-stage teams who need more responses or integrations but aren't ready for a full enterprise contract. The upgrade trigger from Starter to Enterprise is almost certainly hitting response caps or needing multi-environment deployments — the kind of scale that comes when research becomes a team sport across multiple product lines.

Competitive Positioning

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.

Growth Lever

Response volume is the core expansion driver — as teams run more studies across more surfaces, they hit limits that force an upgrade conversation. Locking multi-environment deployment and enterprise onboarding behind the top tier also means any team operating across staging, production, or multiple products will need to go Enterprise, making organizational growth a natural upsell trigger.

Sprig Pricing FAQ

How much does Sprig cost?
Pricing is custom — you'll need to talk to their sales team for a quote.
Is there a free plan?
Yes. The "Free" plan is free forever, not just a trial. You get core survey capabilities, limited responses, ai-assisted study design and synthesis. It's enough to evaluate the product before upgrading.
Can I try it before paying?
There's no trial per se, but the free plan lets you use the product indefinitely with some limits.
How does the pricing work?
Fully custom pricing across both paid tiers, with enterprise scaling tied to response volume, active research features, deployment environments, and onboarding support — so you're essentially paying for research throughput and operational complexity. The free tier exists as a hook, but the real value metric is how many survey/study responses you're collecting and how many product surfaces you're instrumenting.
Which plan makes sense for me?
Free is for solo PMs or early-stage teams kicking the tires on in-product research; Starter is the opaque middle ground likely targeting growth-stage teams who need more responses or integrations but aren't ready for a full enterprise contract. The upgrade trigger from Starter to Enterprise is almost certainly hitting response caps or needing multi-environment deployments — the kind of scale that comes when research becomes a team sport across multiple product lines.

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