What does your support inbox actually cost?
Three numbers, side by side: what your team costs today, what the same volume costs on a per-resolution meter, and what it costs on a flat per-message plan starting at ₹2,999 a month.
Your team today
₹1,05,000
3 agents per month. Headcount cost only — no tooling.
On a per-resolution meter
₹2,65,959
3,000 resolutions at $0.99, plus 3 seats at $29 — Intercom’s published rates, converted at ₹87.
On Eteon
₹2,999
Starter plan — 20,000 messages at four per conversation. Flat, regardless of how many the AI handles.
Estimates, not a quote. The middle column uses Intercom’s published $0.99 per resolution and $29 per seat because those numbers are public and checkable — it is not a claim about what your Intercom invoice says. Eteon does not replace a support team outright, and any vendor telling you otherwise is selling something; what it changes is how many of the repetitive conversations reach a person at all.
About these numbers
Where do the comparison numbers come from?
The per-resolution column uses Intercom’s published $0.99 per Fin resolution and $29 per seat on Essential with annual billing, taken from their pricing page. Eteon’s figures come from our own plans. Nothing here is derived from a private quote.
Why does it assume four messages per conversation?
Because Eteon meters messages and most tools meter conversations, so a conversion is unavoidable. Four is deliberately on the high side: it pushes you into a larger Eteon plan, which makes our own number worse rather than better.
Is 60% automation realistic?
It is a conservative starting point, below what most vendors advertise. The right figure depends on how repetitive your inbox is — order status and policy questions automate almost entirely, while nuanced complaints should not. Change the input rather than trusting the default.
Does this mean I can fire my support team?
No, and we would rather say so than imply otherwise. What changes is how many repetitive conversations reach a person at all, which is usually the difference between a team that is drowning and one that is answering the messages that matter.