Unwrap

Customer intelligence that surfaces feedback trends before you ask

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Screenshot of Unwrap, Customer intelligence that surfaces feedback trends before you ask

What is Unwrap?

Unwrap turns scattered customer feedback into proactively delivered insights, with AI auto-tagging, natural language querying, shared dashboards and automatic alerts for product, support and executive teams.

Unwrap is a customer intelligence platform built around a simple premise: teams do not need another dashboard, they need answers delivered before anyone thinks to ask. The product ingests feedback from a wide range of sources, uses AI to categorize and interpret it, and then proactively pushes the resulting trends to the people who can act on them. Rather than requiring an analyst to build queries and manually tag thousands of comments, Unwrap structures messy, unstructured customer input into something decision-ready. The workflow follows three stages. Connect pulls feedback in from many sources at once. Analyze converts that raw material into insights that arrive without manual prompting. Act is where product, support and leadership teams use the output to shape roadmaps and prioritization. Around that core sit several purpose-built tools: an Auto Tagger that categorizes all feedback, shared Dashboards that can be customized per team, an Assistant for querying feedback in natural language, Alerts that flag emerging issues automatically, and a Responder for replying to customers faster. The audience spans customer experience teams watching for early warning signs, product managers deciding what to build next, and executives who want confirmation that feedback is already being handled before it reaches them. Published case studies cover retail and consumer brands, travel and logistics companies, and software firms, including lululemon, DoorDash, Oura, Perplexity and GitHub Copilot. Reported outcomes range from catching trending issues before they grow to a 21 percent lift in spare parts revenue at Rad Power Bikes and a 25 percent productivity gain at GitHub Copilot. Unwrap positions itself against voice-of-customer suites and feedback analytics tools that lean on manual tagging or static reporting. Its differentiators are the proactive delivery model, organization-wide access to the same insight set, and enterprise security posture with SOC 2 Type II and GDPR compliance, SSO, activity monitoring and automatic PII redaction. Buyers comparing it with platforms like Enterpret will find the closest contest is over automation depth and how much setup the team must do before insights become useful.

How do you use Unwrap?

  1. 1Book a demo and scope your feedback sources
    Start on the homepage to request a demo. Come prepared with the channels where customer feedback already lives so the team can map them to Unwrap's connectors.
    Unwrap — Book a demo and scope your feedback sources
  2. 2Connect your feedback sources
    Link the feedback channels your customers actually use. Unwrap ingests from many sources at once, which is the foundation for everything downstream.
    Unwrap — Connect your feedback sources
  3. 3Review the auto-tagged feedback
    Once data flows in, check how Auto Tagger has categorized comments. Use it to explore and prioritize themes instead of reading raw submissions.
  4. 4Set up shared dashboards by team
    Build dashboards customized for each team so support, product and leadership all work from the same insight set rather than separate reports.
  5. 5Configure alerts for emerging issues
    Turn on alerts so new trends reach the right people automatically. This is the mechanism behind the proactive delivery model.
  6. 6Query feedback with the Assistant
    Use natural language questions in the Assistant to pull specific evidence, for example a spike in complaints about a feature, without writing queries.

Pros and cons

Pros

  • Proactive insight delivery removes the need to build queries or hunt through dashboards manuallyAI
  • Auto Tagger categorizes feedback at scale without the manual tagging work typical of older voice-of-customer toolsAI
  • Assistant lets anyone query feedback in plain language, which lowers the analytics barrier for non-analyst rolesAI
  • Strong enterprise security posture: SOC 2 Type II, GDPR, SSO, activity monitoring and automatic PII redactionAI
  • Published case studies with recognizable brands document concrete outcomes rather than generic claimsAI

Cons

  • Pricing is not published on the homepage, so budget planning requires a sales conversationAI
  • The value depends on connecting large volumes of feedback; smaller teams with thin data may see limited signalAI
  • Insight quality is only as good as the AI categorization, and the homepage offers no detail on accuracy benchmarks or manual override controlsAI
  • Some named features, including Responder and Alerts, are described briefly with no depth on setup effort or limitsAI
  • Heavy orientation toward consumer and software feedback channels may not suit every industryAI

How much does Unwrap cost?

Support

Unwrap describes personalized support from day one, framing onboarding as a partnership with expert guidance tailored to each business rather than a self-serve handoff.

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Features

Core tools include Auto Tagger for categorizing all feedback, team-customized Dashboards, an Assistant for natural language querying, Alerts that surface new insights automatically, and a Responder for faster customer replies. Feedback flows through three stages: connect sources, analyze into insights, then act on roadmaps and priorities.

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Frequently asked questions about Unwrap

  • How do you use Unwrap?
    The walkthrough on this page covers 6 steps: 1. Book a demo and scope your feedback sources 2. Connect your feedback sources 3. Review the auto-tagged feedback 4. Set up shared dashboards by team 5. Configure alerts for emerging issues 6. Query feedback with the Assistant.
  • What platforms does Unwrap support?
    Unwrap is available on Web App.
  • What are the limitations of Unwrap?
    Pricing is not published on the homepage, so budget planning requires a sales conversation. The value depends on connecting large volumes of feedback; smaller teams with thin data may see limited signal. Insight quality is only as good as the AI categorization, and the homepage offers no detail on accuracy benchmarks or manual override controls.

Status

StatusActive
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Added10/21/2026

Platforms

Web App

Pricing

Freemium