How much does Unwrap cost?

We price based on feedback volume. Check out our pricing page for more information.

How can I trust Unwrap with my data?

Your data is protected with enterprise-grade security and compliance, so you can trust it's kept safe and private. Trusted by the world's leading brands.

What tools does Unwrap integrate with?

You can sync your data from over 3K other tools where feedback is collected today. We've never encountered an integration we can't support.

What is the setup process for Unwrap?

Integration setup is a matter of a couple clicks. No engineering required, full setup within two weeks.

What kind of feedback can Unwrap analyze?

We connect to surveys, support tickets, calls, reviews, and more—transforming every conversation into actionable insights. There is no limit to feedback volume Unwrap can process.

How is Unwrap different from other platforms?

Most tools simply tag and sort your feedback, leaving you to create elaborate dashboards to understand your data. Unwrap goes much deeper—surfacing trends and issues automatically, to help you discern what really matters to your customers without the need to search for it.

Real-Time Alerts

Compare

See why the top CX, support and product teams use Unwrap

Detection

Keyword- or rule-based monitors have to be configured per known issue, so a theme nobody wrote a rule for goes unwatched

Detection runs across all your Unwrap Views where data is regularly ingested, and covers newly identified patterns as well as existing ones

Baseline

A fixed volume threshold has to be set per theme, and the right number for a high-volume theme is the wrong number for a small one

Each theme is compared against its own trailing averages and prior peak, not a company-wide volume bar

Speed

Manual review cycles mean the first report of an issue lands days after the first customer raised it

Average alerting time for anomalous trends is under 24 hours

Coverage

Alerts on ticket volume miss an issue that surfaced in reviews or on a call

Every connected channel is read under one taxonomy, so a theme is counted across every connected source rather than one channel at a time

Noise

Alerts that fire on normal fluctuation train people to ignore the channel

Alerts fire on a break from baseline, and candidates pass LLM quality gates for precision, coherence, urgency and duplicate detection, plus filters for spam and automated tickets. Sensitivity is adjustable

What is anomaly detection in customer feedback?

Anomaly detection in customer feedback means watching how often each theme appears and flagging when that rate departs from what is normal for that theme. It is a comparison against history, which separates a real change from a busy week.

A common alternative is threshold alerting: pick an issue, pick a number, get told when volume crosses it. That works for problems you already know about. It can’t tell you about a theme nobody has created a rule for.

How fast do you find out an issue is emerging?

Average alerting time for anomalous trends is under 24 hours.

Speed matters because the cost of an issue compounds while it is invisible. Working from publicly available app-store feedback, Unwrap identified a 3x year-over-year rise in reports of volume settings reverting to minimum unexpectedly. That is the shape of a problem worth catching early: sharply up against its own history, and specific enough to act on.

How do you catch a theme that has no tag yet?

The taxonomy can be generated from your feedback or built on the one you already use, and it stays current as new patterns appear, so a problem doesn’t need an existing category to be counted or watched.

Rule-based alerting has no answer here. A new failure mode arrives with words nobody anticipated, and no threshold exists because no tag exists. Unwrap creates the theme from the feedback, which is why alerts cover issues that did not exist last week.

Where do alerts arrive?

Alerts are delivered to Slack and email. Connected integrations pull new feedback each night, so a theme is re-checked on every sync.

Alongside real-time alerts, Unwrap sends executive-grade digests carrying 4 to 6 insights to your preferred channel, weekly on the Pro tier and monthly on Growth. In Unwrap’s GitHub Copilot case study, the team saw a 4.6x increase in surfaced insights on code completion accuracy, alongside an 82% reduction in time spent categorizing feedback.

How do you keep alerts worth reading?

Alerts fire on a break from a theme’s own baseline.

Routing does the rest. Dashboards and permissions are configured by team and role, and individual users can subscribe to the Groups they care about. Each alert lists the data sources that power it, and every insight in Unwrap traces back to the original verbatim feedback, and follow-up runs through close the loop. The drivers themselves live in support ticket analytics.

Why Unwrap

Because you don’t need another dashboard.

You need answers—before you even think to ask the question.

Proactive insights, zero manual work.

Stop tagging. Stop guessing. Unwrap surfaces customer feedback trends automatically—even the ones you didn’t anticipate.

Trustworthy AI, company wide.

Transparent and accurate insights shared across your entire organization, connecting everyone to the voice of the customer.

Personalized support, from day one.

We don’t just onboard you—we partner with you. Get expert guidance tailored to your business, every step of the way.

How It Works

From unstructured data to structured decisions.

Connect

Integrate feedback from thousands of sources, effortlessly.

Analyse

Messy feedback becomes proactively delivered insights.

Act

Use data to inform roadmaps, prioritize what matters, and make smarter decisions.

Case Studies

Customer-centric teams love Unwrap.

See how Unwrap's insights inspire innovation.

"When something happens, we need to know in a matter of hours, not days."

Adam Turaev

Co-founder and CEO of Praktika

"It’s kind of insane how virally this product spread within our company. People would share images internally of the alerts they were getting, or images of the dashboard—making those who saw them eager to get access."

Nate Giacalone

VP of Product, Growth at WHOOP

"It’s an understatement to say we’ve ‘saved time’ using Unwrap. Our quantitative visibility into customer feedback was nearly impossible before."

Hayley O.

Senior Manager of User Research at Zipcar

FAQs

Questions? Answers.

Average alerting time for anomalous trends is under 24 hours.

No. Detection runs across all your Unwrap Views where data is regularly ingested, and covers newly identified patterns of feedback as well as existing patterns that are significantly elevated, including themes that had no category before.

Real-time alerts and executive digests are delivered to Slack and email. Digests carry 4 to 6 insights to your preferred channel, weekly on the Pro tier and monthly on Growth.

Each theme is compared against its own baseline instead of a fixed threshold, so an alert reflects a change in that theme’s behavior.

By default, alerts go to everyone in your Unwrap organization. Dashboards and View-level permissions are scoped by team and role, individual users can subscribe to the Groups they care about, and additional distribution lists or specific Slack channels can be set up with your Unwrap representative.

Each alert lists the data sources that power it, and every insight in Unwrap traces back to the original verbatim feedback, so you can open the anecdotes behind it.

Real-time alerts when a theme breaks from its baseline.

See why the top CX, support and product teams use Unwrap

What is anomaly detection in customer feedback?

How fast do you find out an issue is emerging?

How do you catch a theme that has no tag yet?

Where do alerts arrive?

How do you keep alerts worth reading?

Because you don’t need another dashboard.

From unstructured data to structured decisions.

Customer-centric teams love Unwrap.

Questions? Answers.

How quickly does an alert fire?

Do we have to tell Unwrap which issues to watch?

Where do alerts get delivered?

How do you avoid alerting on normal fluctuation?

Can different teams get different alerts?

Can we see why an alert fired?

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