Used by leading CX teams AT
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CUSTOMER INTELLIGENCE PLATFORM
Find what’s driving churn and repeat support
Continuously track recurring issues across tickets, calls, surveys, and reviews, ranked by support contacts, escalations, and churn risk
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The problem
Customers are warning you before they cancel. But the signals are buried and hard to prove.
Customer warnings are fragmented across sources
Churn warnings show up across tickets, calls, surveys and cancel reasons. Without a connected view, it’s hard to know what’s isolated, recurring, related or getting worse.
AI summaries and manual tags distort the real pattern
The same issue can show up as in 10 different ways. Add new releases, bugs and policy changes, and recurring issues quickly get split, missed or double-counted.
The most frequent issue doesn’t prove churn risk
The loudest complaint is not always the riskiest. We need evidence for repeat contacts, escalations, CSAT, and cancel reasons to prove what’s putting retention at risk.
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The Hidden cost
One issue, many different signals
Different words, across different channels
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AI summaries group by surface themes
One issue gets split, counted, and prioritized as separate problems
Enterpret structures it by context and impact
The same issue can show up as in 10 different ways. Add new releases, bugs and policy changes, and recurring issues quickly get split, missed or double-counted.
THE SOLUTION
Connect customer warnings to a live view of issues, evidence, and impact
Enterpret maintains a live view of customer issues, ranked by support impact, CSAT, and churn risk, so you know what to fix, escalate and monitor first
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How it works
From customer warnings to what to act on first
Connect feedback across every source
Unify tickets, calls, surveys, reviews, and cancel reasons into one view of churn and repeat support signals
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Prioritize issues by customer impact
See which issues are recurring, growing, and tied to CX impact, churn risk, and high-value users
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Drive action on what to fix, escalate or monitor
Route the right issues to CX, Product or Support, with the evidence needed to fix, escalate or monitor
Try Enterpret in one minute
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“With Enterpret connected to our customer feedback and subscription data, we can draw a direct line from customer problems to revenue at risk.
We can literally say: these users have written in more than five times this month, this is a likely churn risk, and that we might lose $500k a month from this.
We can see a direct line from customer problems to how much money is at risk.”
We can literally say: these users have written in more than five times this month, this is a likely churn risk, and that we might lose $500k a month from this.
We can see a direct line from customer problems to how much money is at risk.”
MIGUEL POU
CX AI OPERATIONS
“We surface product insights in days not weeks where our teams now have the necessary insights and feedback to prioritize their roadmaps.
Enterpret connects millions of our feedback records, helping align everyone around the top issues or requests and make it accessible to all our teams."
Enterpret connects millions of our feedback records, helping align everyone around the top issues or requests and make it accessible to all our teams."
JESSE WALKER
SENIOR PRODUCT LEAD
“We were able to focus on shipping high-value features instead of bug fixes and ‘keep-the-lights-on’ work. Instead, we leverage engineering resources to ship significantly awesome and valuable features"
ABISHEK VISWANATHAN
CHIEF PRODUCT OFFICER
Frequently Asked Questions
Enterpret helps CX teams analyze customer feedback across tickets, calls, surveys, reviews, and cancel reasons to identify the issues driving repeat contacts, escalations, CSAT drops, and churn risk. Instead of relying on manual tags or AI summaries, teams can see which customer issues are recurring, growing, and tied to business impact, then decide what to fix, escalate, or monitor first.
Customer intelligence software helps organizations collect, analyze, and operationalize omnichannel signals across support, sales, product, surveys, reviews, and market conversations.
Traditional customer intelligence platforms often focus on dashboards or AI summaries. Customer intelligence infrastructure goes further by continuously structuring customer signals into shared customer understanding connected to product context, customer segments, business outcomes, workflows, and AI systems over time.
This helps teams prioritize based on business impact instead of signal volume, operationalize customer understanding across workflows, and measure what actually changed after product and business decisions are made.
Enterpret acts as the infrastructure layer behind customer understanding, helping teams move from disconnected customer signals and one-off AI answers to a continuously evolving system of understanding and actionable insights that compounds over time.
AI tools like Claude or ChatGPT can quickly analyze customer signals and generate summaries, answers, and workflows. The challenge is that the underlying understanding often resets with every new prompt, workflow, or analysis.
A customer intelligence platform continuously structures customer signals into shared customer understanding connected to product context, customer segments, business outcomes, and operational workflows over time.
This allows teams and AI systems to:
- Prioritize based on business impact (churn, NPS, CSAT, etc.) instead of mention volume
- Maintain consistent understanding across workflows
- Operationalize customer understanding into actionable insights, tickets, alerts, prioritization, and AI workflows
- Measure whether launches and decisions actually improved retention, adoption, support burden, and revenue outcomes
Enterpret works alongside AI tools by providing the customer intelligence infrastructure that keeps customer understanding connected, measurable, and continuously evolving.
Enterpret connects support tickets, sales calls, surveys, reviews, social conversations, market research, community discussions, CRM data, and product usage signals into one continuously evolving omnichannel system of customer understanding.
Teams use Enterpret to:
- Prioritize product decisions based on customer and business impact
- Identify the issues driving churn, NPS, CSAT, poor adoption, and expansion risk
- Understand problems along the customer journey increasing support burden and ticket volume
- Surface sales objections, deal blockers, and product gaps from customer conversations
- Track changing customer expectations, competitor movement, and market trends
- Power AI workflows with shared customer understanding across systems and teams
- Connect customer signals to retention, adoption, expansion, and revenue outcomes
- Measure whether launches, fixes, and product decisions actually worked over time
Yes. Enterpret integrates with AI tools, collaboration systems, ticketing platforms, CRMs, and internal workflows through native integrations and MCP-compatible workflows.
Teams use Enterpret to:
- Power AI workflows with shared customer understanding
- Create tickets, alerts, and workflows directly from customer insights
- Operationalize prioritization across Jira and Linear
- Bring customer understanding into Slack, Claude, CRMs, and internal systems
- Keep customer, product, and business context connected across workflows
Many organizations can connect customer data to AI tools internally. The challenge is maintaining consistent customer understanding over time as products, customer behavior, workflows, and business priorities evolve.
Teams use Enterpret because it continuously structures customer understanding across workflows, systems, and AI interactions instead of relying on disconnected prompts, manually maintained taxonomies, or one-off analyses.
This allows organizations to operationalize customer understanding across prioritization, support operations, churn and sentiment analysis, and AI workflows without rebuilding the underlying understanding repeatedly.
Enterpret is used by product, customer experience, support, operations, and GTM teams at high-velocity product organizations.
Teams use Enterpret to:
- Prioritize product decisions
- Identify churn risk, expansion opportunities, and deal blockers
- Reduce support burden
- Operationalize customer intelligence
- Power AI workflows
- Connect customer understanding to measurable business outcomes
