Reply Sentiment Analysis
Reply sentiment analysis labels each inbound reply as positive, negative or neutral, sometimes with an out-of-office label too. Some tools use an AI classifier; others, including Outsolvi, use keyword rules. Positive indicates interest, negative a rejection or unsubscribe, and neutral covers scheduling, questions and the like.
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A busy outbound inbox mixes "yes, let's talk" with "take me off your list" and a pile of auto-replies. Sentiment labels sort them so the interested people get answered first.
Two ways to do it
Keyword rules. The tool looks for phrases. "Unsubscribe" or "not interested" means negative, "out of the office until" means out of office, "let's set up a call" means positive. Rules are predictable and cheap, and you can see why a reply got its label. They miss sarcasm, mixed replies and anything phrased in a way the rules didn't expect.
AI classifiers. A language model reads the reply and picks a label. It handles nuance better, but it can be confidently wrong, and it's harder to see why it chose what it did.
Either way, the tool has to see the reply first, which usually means reading your mailbox or watching the thread in your mail app.
What the labels are for
- Positive: interest, a yes to a next step, a request for more information. Answer these first.
- Negative: a no, an objection, or a request to stop. Stop the follow-ups and respect it.
- Neutral: a question, a scheduling detail, a referral to someone else.
- Out of office: an auto-reply. Not a no, just not now.
How Outsolvi does it
Outsolvi uses keyword rules, not an AI model. Each reply gets one of four labels: Positive, Negative, Neutral or Out of office. The label shows on the tracked email's page in the web app and in the follow-up queue. A reply stops any follow-ups still due to that address, and a reply asking to unsubscribe takes the address out of every sequence.
Outsolvi sees replies through a connected mailbox (Gmail, Microsoft with read access, or IMAP), through the Gmail extension when you open the thread, or through the desktop add-in for classic Outlook while Outlook is running.
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Start Free TrialFrequently asked questions
How accurate is sentiment classification?+
It depends on the tool, and few publish a figure you can check. Keyword rules are predictable but miss sarcasm and mixed replies; AI classifiers handle nuance but can be confidently wrong. Read the replies that matter yourself.
Does Outsolvi use AI to label replies?+
No. Outsolvi labels replies with keyword rules: Positive, Negative, Neutral or Out of office. There isn't a setting to turn labelling off.
What does Outsolvi keep from a reply?+
Outsolvi labels replies with keyword rules, not a model, and keeps a short excerpt of the latest reply next to the label. If you connect your mailbox, its synced mail, sent mail included, is stored too, encrypted.
Put this concept into practice
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Outsolvi tracks Outlook and Gmail, grades every open as a person or a machine, and flags hot leads, from $7/user/mo billed yearly. 14-day free trial, no credit card.
Start 14-Day Free TrialNate built Outsolvi after watching every email-tracking tool he had ever used lie to him about opens. Outsolvi grades every open as a person or a machine, in Outlook and Gmail, so the number on the dashboard is one a rep can actually act on.
We update these pages when the underlying mechanics change. new mailbox-provider rules, new tracker behavior, new measurement gaps. The dates above are real revisions, not auto-touches.