Sprig

Name: Sprig
Brand: Sprig
Rating: 4.4 (113 reviews)

The Modern Research Platform for UX Teams

Est 2018|Valuation $330M|Raised $87.7M|68 Ref Customers

LinkedIn 21K|Web traffic 229K|FTEs 75|HQ San Francisco, California, US

MarketsUser Research Session Replay & Heatmaps

01Competitive Landscape

Narrative analysis

Where Sprig tends to be selected: - Organizations that want to link observed user behavior (replays/heatmaps) directly to stated user feedback without managing multiple vendors. - Research or UX teams aiming for continuous in-product feedback with governance controls like recontact limits. Where competitors may be preferred: - Hotjar: for teams needing rapid web UX insights with predictable public pricing and a low-cost entry point. - FullStory: for organizations prioritizing replay-centric digital experience analytics rather than integrated research workflows. - Pendo: when the primary need is product analytics combined with in-app guidance and adoption features; Pendo focuses more on quantitative adoption insights. Customer evidence comparing tools: - Some reviewers compared Sprig favorably to other survey tools for targeting the right users at specific moments, but such curated comparisons should be validated by reading complete review distributions. Adoption / market presence indicators: - Third-party analyses suggest Sprig has presence on many websites based on built-technology estimates. These indicators are directional and do not fully capture mobile usage or depth of deployment.

	Sprig	Hotjar	FullStory
Starting Price	Not publicly listed (demo/quote). Free tier exists; usage-based quotas documented.	Free plan available; paid plans publish public rates.	Typically sales-led / quote-based (no public list in reviewed sources).
Primary Focus	In-product surveys, replays, and heatmaps tied to research workflows and qualitative synthesis.	Web UX optimization with heatmaps and replay focus, lower entry cost and public pricing.	Session replay and experience analytics at scale, often used by larger organizations for replay-centric analysis.
Key Strength	Integration of survey feedback with session replays and heatmaps; event-based targeting and AI-assisted summaries.	Low barrier to entry, transparent pricing, and a straightforward web setup.	Robust replay and experience analytics ecosystem for enterprise use cases.
Key Weakness	Analytics depth may be limited for advanced quantitative analysis; customization limits; pricing opacity.	Less focused on mobile app research; survey functionality may be less research-rigorous for complex studies.	Cost and operational complexity; not primarily focused on rigorous survey research workflows.

01Competitive Landscape

Narrative analysis

Where Sprig tends to be selected:

Organizations that want to link observed user behavior (replays/heatmaps) directly to stated user feedback without managing multiple vendors.
Research or UX teams aiming for continuous in-product feedback with governance controls like recontact limits.

Where competitors may be preferred:

Hotjar: for teams needing rapid web UX insights with predictable public pricing and a low-cost entry point.
FullStory: for organizations prioritizing replay-centric digital experience analytics rather than integrated research workflows.
Pendo: when the primary need is product analytics combined with in-app guidance and adoption features; Pendo focuses more on quantitative adoption insights.

Customer evidence comparing tools:

Some reviewers compared Sprig favorably to other survey tools for targeting the right users at specific moments, but such curated comparisons should be validated by reading complete review distributions.

Adoption / market presence indicators:

Third-party analyses suggest Sprig has presence on many websites based on built-technology estimates. These indicators are directional and do not fully capture mobile usage or depth of deployment.

	Sprig	Hotjar	FullStory
Starting Price	Not publicly listed (demo/quote). Free tier exists; usage-based quotas documented.	Free plan available; paid plans publish public rates.	Typically sales-led / quote-based (no public list in reviewed sources).
Primary Focus	In-product surveys, replays, and heatmaps tied to research workflows and qualitative synthesis.	Web UX optimization with heatmaps and replay focus, lower entry cost and public pricing.	Session replay and experience analytics at scale, often used by larger organizations for replay-centric analysis.
Key Strength	Integration of survey feedback with session replays and heatmaps; event-based targeting and AI-assisted summaries.	Low barrier to entry, transparent pricing, and a straightforward web setup.	Robust replay and experience analytics ecosystem for enterprise use cases.
Key Weakness	Analytics depth may be limited for advanced quantitative analysis; customization limits; pricing opacity.	Less focused on mobile app research; survey functionality may be less research-rigorous for complex studies.	Cost and operational complexity; not primarily focused on rigorous survey research workflows.