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Questions about AI-powered support analysis features such as CX Score, performance dashboards, Topics Explorer, and automated suggestions
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Hi all — I'm doing some research on how teams measure AI resolution quality, and there's one thing I can't find anyone talking about.My understanding of the billing mechanic: a conversation counts as resolved either when the customer confirms it helped, or when they stop responding without asking for a human. The second case is the interesting one. Intercom does deduct the resolution if the customer reopens *that conversation* later, even across billing periods, which seems like a genuinely fair correction.But it only catches people who come back to the same thread. If someone reads Fin's answer, decides it didn't help, and emails support@ three days later — or calls, or starts a fresh chat — that's a new conversation. Nothing connects it to the original, and from what I can tell there's no way to see that pattern from inside Intercom, because Intercom can only see the Intercom channel.So my question: **has anyone here actually joined their email or phone support data against Fin's res
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AI is changing how customers discover and buy jewellery through personalized recommendations, virtual try-ons, and smart search. I noticed Ears Decor uses a modern online shopping experience for diamond and gemstone earrings. Do you think AI will become the standard for jewellery retailers? https://earsdecor.com
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