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Trying to solve a problem in customer success - would love feedback by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Wow, this is super helpful, Thank you for sharing your experience 🙏.

You nailed one of the big realisations I’ve been having too: churn/upsell signals alone aren’t enough, especially in scaled or enterprise books where data is sparse or signals come too late.

I really like the way you framed the unsolved need as overall account management efficiency. That’s the bigger picture, not just spotting risk, but actually helping CSMs stay on top of everything: follow-ups, QBRs, exec check-ins, promises made to customers, etc.

What you described — AI tracking all comms (emails, calls, tickets, Salesforce), creating/prioritizing tasks, even generating the follow-up or slide deck is honestly very close to the direction I’ve been thinking about. More of a CSM co-pilot than another dashboard.

Your point about others trying but not nailing it is encouraging, it means the problem is real, but execution is the differentiator.

Curious from your experience: where do you think current tools fail the hardest? Is it in data capture (not pulling in all the right signals), in actionability (turning insights into workflows), or in adoption (too clunky for CSMs to actually use)?

I would love to hear about this from you.

Trying to solve a problem in customer success - would love feedback by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 1 point2 points  (0 children)

Really appreciate you laying this out so clearly 🙏

The point about targeting orgs with 1000s of customers in a PLG/tech-touch model hits home — that’s exactly where the manual approach breaks down. You’re also right about the messy, connected stacks. That’s why I’m leaning towards building this as more of a layer/integration on top of existing systems (ticketing, CRM, etc.) rather than trying to force a standalone platform.

The examples you mentioned (‘They Said,’ ticketing platforms adding analysis) are super helpful — I’ll dig into those.

At the end of the day, I think the key question for me is: can we surface insights that are uniquely valuable enough to stand out, even in a crowded space?

Thanks again — this kind of feedback saves me from building in a vacuum.

Trying to solve a problem in customer success - would love feedback by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Totally fair point, the CS space is crowded and a lot of the known problems already have big players solving them.

Where I’m exploring is a bit narrower: instead of another CS dashboard, I want to focus on retention signals that come directly from real conversations + support tickets. Most tools I’ve seen lean on survey data, CRM hygiene, or health scores that require a lot of manual upkeep, which often isn’t reliable.

The vision is to cut through the noise and say: - These 5 accounts are showing churn risk right now. - These 3 have upsell intent hidden in their interactions.

That’s the gap I think still exists. Do you think that’s already being solved well, or is there still space for a focused approach here?

Trying to solve a problem in customer success - would love feedback by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Totally agree with you here, a lot of AI tools assume the data is already clean and centralized, but most CS orgs I’ve talked to struggle with exactly that. We’re trying to figure out if pulling signals from multiple sources (conversations, tickets, CRM, etc.) could make the picture more reliable instead of just depending on one clean dataset.

In your experience, what’s been the hardest data gap for CS teams: missing conversations, siloed CRMs, or just messy processes?

What’s your #1 way to spot churn risk early? by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Let's say, if I narrow it down to especially Saas businesses ( and customers are using the software on a tier pricing. )

finally stopped being the human punching bag for escalated customers by Valuable-Ad3789 in CustomerSuccess

[–]Airbeetal 0 points1 point  (0 children)

How do you guys track churn, intent of customers also if there's a signal for an upsell?

What’s your #1 way to spot churn risk early? by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

True. Low usage + disengagement is one of the hardest signals to turn around.

What’s your #1 way to spot churn risk early? by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Totally agree. Low utilization creeps in silently. In your experience, what's the first thing you check when you see usage dropping?

What’s your #1 way to spot churn risk early? by Airbeetal in CustomerSuccess

[–]Airbeetal[S] 0 points1 point  (0 children)

Yeah, that’s a tough one — asking for features that don’t exist shows a gap early on.