Something was costing us deals. We just couldn’t see it.
By the time a product gap shows up in your closed-lost report, it’s already been sitting in your CS calls, support tickets, and call transcripts for months, if not years.
Aleoop is the customer intelligence platform for product teams that connects what customers ask for across sales calls, CS conversations, Slack, and CRM to the dollar value of acting on each signal. It’s a proprietary model trained on your product feedback patterns. Discover what’s blocking deals, prioritize by pipeline impact, and validate that what you shipped moved the needle.
Build the products your customers need, right now.
By the time a product gap shows up in your closed-lost report, it’s already been sitting in your CS calls, support tickets, and call transcripts for months, if not years.
Every rep believes their deal-blocker is the most important one. You can’t see whether it’s a one-off or a pattern showing up again and again across dozens of deals.
Six months later, you still can’t tell which customers actually got value from it, or whether it solved their problem at all.
Aleoop isn’t another voice-of-customer platform where feedback just piles up. It’s the layer that reads what’s already in your stack and tells you what signals are worth focusing on.
Works with Slack, Jira, Linear, HubSpot, Salesforce, Gong, Grain, Granola, Sybil, Intercom, and more.
Aleoop reads every customer conversation across your stack, classifies the signals, attaches a dollar amount from your CRM, and ranks what your product team should build next.
Proprietary models trained to identify B2B product feedback reads every call, ticket, CRM note and Slack thread, classifying signals a general-purpose LLM won’t catch.
Aleoop attaches a dollar amount from your CRM to each product gap, then ranks it by frequency and customer type, not by who spoke loudest in your last meeting.
After you ship, Aleoop keeps tracking the same signals to confirm the gap closed and the pipeline moved, so you know it actually worked.
From the first integration to closing the loop, this is what your team actually sees inside Aleoop.
Aleoop connects to the tools your team already uses: Slack, HubSpot, Grain, Intercom, and more. Setup takes minutes. No engineering lift and no data project.
The moment you connect, Aleoop starts listening. Its own ML models surface recurring themes across every deal, automatically. Each one is ranked by the revenue sitting behind it.
Click into any signal and you see exactly which deals it’s affecting, the real quotes from real conversations, and the reasoning behind why it matters. New sources are appended continuously, so the picture gets sharper every week.
Your team reviews and approves signals, tracking effort size, team ownership, and strategic priority all in one place. No more scattered feedback across Slack threads and spreadsheets.
Every deal shows exactly which signals are blocking it, color coded by status: raised, in progress, resolved. At a glance, you know where the risk is and what’s moving.
Drill into any deal and see the tagged signals alongside the full CRM notes, everything in one place, so your team walks into every conversation knowing exactly what’s in the way.
Aleoop sends a weekly signal digest: top blockers, real quotes, and exactly what your team should do next. Intelligence is delivered, not buried in a dashboard.
When you ship, Aleoop closes the loop, proving the impact back to your team, your CEO, and your board. The hard part was never building, but knowing what to build.
Customer churn reasons, new deal blockers, and misalignment on recently shipped products are all sitting in your Slack threads, CRM notes, support tickets, and call transcripts right now.
Sample signals shown for illustration. Both deal-makers and blockers are surfaced. Replace with live data from your connected stack.
Enterprise-grade security is your #1 blocker: $1.5M across 15 active deals, and it’s accelerating every month. It’s the one to prioritize this sprint.
Turning customer signals into revenue-backed roadmaps, instead of guessing what to build next.
Inventory Ally
A ChatGPT or Claude prompt can answer a one-off question, but nothing persists, nothing connects, and no report comes out of the box, so every answer is a fresh guess that changes each time you ask. Aleoop is built on structured data, so your top trends stay stack-ranked by revenue and hold up over two years, not regenerated on the fly.
Aleoop analyzes every GTM interaction, then ranks product gaps by business impact. You get a prioritized list tied to your CRM records, so you know which gaps are blocking the most active and upcoming deals. It’s sorted by dollar amount, not by who complained loudest.
Aleoop’s machine learning models classify every customer mention across renewals data, calls, and support tickets. It ties each gap to expansion or churn risk, with a dollar amount from your CRM. You’ll see exactly which product gap is most actively threatening your renewal bookings right now.
Aleoop groups signals by customer segment, vertical, geography, and deal size. You can see whether the same friction point hits enterprise accounts hardest, stays isolated to mid-market, or is only an SMB issue. Cut the data by quarter, month, or any range to see whether a pattern is accelerating or resolving. No manual spreadsheet required.
Connect your CRM to Aleoop, and it links every product request from a deal directly to its pipeline value. For your largest account, you’ll see what they asked for, what you’ve shipped, and what’s still sitting in the backlog with a dollar weight attached. Perfect for QBR prep and the push to quarter close.
Aleoop’s models scan sales and CS calls, support tickets, and Slack threads for onboarding friction signals. It surfaces where customers consistently stall, which stage generates the most support load, and which friction points are tied to the highest churn risk in your current pipeline.
Aleoop monitors sales calls and CS conversations for unprompted mentions of your new releases. It classifies sentiment and frequency, ties each mention to deal stage and customer tier, and shows whether a feature is being adopted, driving deals, or quietly going unnoticed.
Aleoop ranks every open gap by the dollar value of the deals it appears in. As a signal recurs (showing up in 1 deal, then 10, then 50) and the dollars lost add up, you’ll know (and we’ll tell you) when a fix can’t wait another quarter, and your team has no real choice but to prioritize it.
Aleoop lets you drill into any single account and see every product blocker, request, and recommendation tied to it, each one weighted by the pipeline it affects. You get the full picture for one customer: what they’ve asked for, what’s still open, and what it’s worth if you fix it.
Every deal-blocker, churn risk, and feature request, priced and stack-ranked by the customer intelligence platform for product teams, so your team ships what moves revenue while competitors are still guessing.
Book a demoYour gut got you this far. Let Aleoop take you further.