VoC is the foundation,
Customer Intelligence is what you build on top
Most CX teams spend weeks extracting meaning from feedback. Feedier does it automatically, surfacing the right insights, at the right time, in the right format for every stakeholder. One intelligence layer, built on top of everything you already collect.
Trusted by 50+Â CXÂ teams
From months of analysis to minutes of insight
Most organizations sit on months of unread feedback. Feedier closes the gap between data collection and business decision, automatically.
From noise to signal, automatically
Feedier's AI reads every text feedback, maps it to a structured topic taxonomy, and tracks sentiment evolution over time. No manual coding. No analyst bottleneck. RX France went from a Manila-based team of data analysts to a single person managing 13,000 verbatims per year — reporting directly to the COMEX.
"What Feedier allowed me to do is genuinely trust the data to steer service quality — not just look at it."
Reports that write themselves
Feedier generates structured, audience-ready reports on a defined schedule — by segment, by channel, by touchpoint. A major European airport went from manual reporting to 42 automated reports, saving 90% of the time previously spent on action plans.
"Before Feedier, I had scores. Now I have explanations — and something to act on."
One intelligence layer above all your feedback
Feedier sits above your entire VoC stack (surveys, reviews, CRM, support tickets, third-party tools) and turns fragmented signals into a single, unified analysis. Contradictions get flagged. Patterns get surfaced. You stop managing data and start managing performance.
Your customer intelligence, accessible to any AI agent
AI agents are becoming the new interface for business intelligence. Feedier is built for that world. Through native MCP support, any AI agent in your organization can query your customer intelligence layer directly, pulling live insights, themes, and sentiment data into workflows, copilots, or internal tools. We believe every company will work this way. Feedier is ready today.
What Customer Intelligence runs on
Topic taxonomy updated continuously, not just at setup
Sentiment tracked over time, not just captured
Cross-source contradictions flagged automatically
Every insight linked to a source, a segment, a date
Structured output for operational teams
Executive-ready synthesis, generated automatically
Agent-accessible via native MCP
Full auditability from insight to raw verbatim
What CX teams using Feedier have to say
"What Feedier allowed me to do is connect my quantitative and qualitative data with business data, and walk into show director meetings with concrete explanations — not just scores. When NPS drops and I know exactly why and for whom, the show director has a real argument to renegotiate with their vendor and adjust strategy for the next edition. That's actual value."
Ly Dinh
Customer Research & Insights Manager
"We're saving probably 100 hours a month of effort across the organization."
Adam Catlow
Head of Analysis and Insight
"Now we measure satisfaction continuously (15k responses in Q1) and we're actually breaking new ground on parking experience measurement. Nobody else is doing that."
Franck Borras
Manager of Mobility Solutions, Research, and Projects
What changes for your team
From tagging to deciding
Your analyst used to spend Mondays on verbatims. Now they spend them on decisions.
From quarterly decks to weekly synthesis
Your COMEX gets a structured intelligence report every week — without anyone building it.
From last quarter to last day
Your CX report stops covering what happened three months ago. It covers what shifted since yesterday.
From five tools to one layer
Your feedback stops living in silos. It feeds a single intelligence layer, automatically.
From CX team inbox to the right desk
Your insights stop at the CX team. With Feedier, they route to whoever can act on them.
From "what happened" to "what to do next"
Your VoC data finally answers the question that matters in every leadership meeting.
Questions we get before teams start
Voice of Customer covers the data layer — how feedback gets into Feedier, how it's structured, enriched, and governed. Customer Intelligence covers what the AI does with that data: analysis, insights, reports, and automated workflows. The two work together — better input data produces better intelligence.
Yes. Feedier's team and workspace structure lets you control which teams see which sources. A logistics team can access delivery-related feedback without seeing unrelated programs. Admins have full visibility. Viewers see only what they're granted access to.
You map your operational attributes - transaction IDs, delivery dates, product categories, regional codes — to your feedback records at import time. Once mapped, every feedback item carries that context into the analysis layer. No custom development required for standard cases.
No. Feedier doesn't replace your existing collection tools, it centralizes their output. You keep running surveys or collecting reviews where you already do. Feedier pulls it all in and structures it for analysis.
Yes. Feedier imports from Google Reviews, Trustpilot, Apple App Store, and any platform that exports CSV. You can also push data via API. Multiple imports can feed the same source structure, so you keep consistency across origins.
Your customer feedback deserves better than a quarterly report.
Feedier centralizes, analyzes, and turns every customer signal into a decision — in hours, not quarters.
No ripping out your existing tools.
