SuperFeel detects the slow emotional drift that precedes every lost customer — weeks before it shows up in NPS, tickets, or a cancellation email.
Every churned customer had a moment — weeks or months before they left — when their emotional relationship with your product shifted. A missed SLA. A price increase. A support ticket that took too long. You never saw it.
Your NPS survey fires once a quarter. Your support ticket is already closed. Your CRM shows green. But the customer has already decided to leave. They just haven't told you yet.
Every API call is blind to history. It can't tell you a customer's emotional state has been declining for four months, because it has never seen any previous interaction.
Every signal — ticket, call, email, survey — enriches a customer-level emotion profile that compounds over their entire lifecycle. The intelligence grows with every interaction.
"Okay lah, we'll see how" scores as neutral. Japanese keigo indirectness reads as polite agreement. Indian Hinglish deflection looks like enthusiasm. Foundational models miss all of it.
Fine-tuned on Manglish, Singlish, Bahasa Indonesia, Japanese keigo, Korean business speech, and Indian Hinglish. The first emotion model built specifically for how Asia Pacific businesses actually communicate.
You get a classification. You have to build the pipeline to do something with it. That's another sprint, another integration, another thing to maintain.
When a churn signal crosses a threshold, SuperFeel acts. Slack alert to the account owner. Suppression of the upsell email. Calendar block for a check-in call. Insight converted to intervention.
Across Asia Pacific, business communication runs on face-saving, hierarchy, indirectness, and code-switching. SuperFeel is the only emotion model trained on all of it — from Manglish to keigo to Hinglish to ANZ understatement.
Languages: Manglish · Singlish · Bahasa Indonesia · Filipino English · 4 years of B2B SaaS interaction data
Each ingest call adds to a persistent emotion timeline. The response you get on day 90 is smarter than the one you got on day 1 — because it's informed by everything in between.
A 6/10 frustration score from your anchor enterprise account is not the same as a 6/10 from a freemium user. SuperFeel knows the difference and prioritises accordingly — regardless of which APAC currency your ARR is in.
The response tells you not just that sentiment dropped — but when it dropped, what triggered it, and how long the pattern has persisted. That's what makes intervention possible.
Configure thresholds and let SuperFeel handle the routing. CSM Slack alert, upsell suppression, CRM note — no polling required, no custom pipeline to build.
{
"customer_id": "acme-corp-001",
"arr": 2100000,
"renewal_days": 47,
// What foundational models give you
"emotion_now": {
"primary": "frustration",
"score": 0.74
},
// What only SuperFeel gives you
"emotion_arc": {
"trend": "declining",
"delta_30d": -0.31,
"inflection_cause": "support_sla_breach",
"days_in_decline": 58
},
"churn_probability": 0.72,
"revenue_at_risk": 2100000,
// Actions already fired
"triggers_fired": [
"webhook:csm-slack-alert",
"suppress:upsell-campaign",
"crm:flag-at-risk"
]
}
The SaaS era charged per login. SuperFeel charges per churn risk caught — aligning our success directly with yours. No seat creep. No shelfware.
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