Hey ,
Since late 2024, I’ve talked to a lot of mid-market SaaS companies about customer support.
Different companies. Different teams. Different markets.
Same problems.
The details change, but the pattern is almost always the same:
- They’re spending $150K to $250K per year on legacy support platforms that feel rigid, bloated, and increasingly hard to justify.
- They have AI resolution rates stuck somewhere between 25% and 35%.
- They have 3 to 7 tools duct-taped together just to run the basic support operation.
- They’re locked into 2-year contracts, sometimes longer, with software that was already past its prime when they signed.
And worst of all, the most valuable customer data in the business is sitting right there in front of them.
Unused.
Unstructured.
Invisible.
Customer Success and Support have all the churn risk, expansion, product feedback, onboarding friction, competitive intelligence, and customer sentiment a company could possibly want.
But it's buried in tickets, conversations, notes, Slack threads, CRM fields, call transcripts, and half-maintained spreadsheets.
Nobody knows how to structure it and nobody knows how to access it.
And almost nobody knows how to connect the dots well enough to answer the questions that actually matter.
- Why are customers churning?
- Which product gaps are costing us revenue?
- Which accounts are showing expansion intent?
- Which support issues are really onboarding issues?
- Which complaints are noise, and which ones point to something systemic?
Most companies technically have this data.
They just can’t use it.
So the team operates on intuition.
Customer Success has a “feeling” an account is at risk. Support has a “sense” that a problem is getting worse. Product gets feedback filtered through anecdote.Leadership sees dashboards that report activity, not causality.
Everyone is working hard...
But nobody has the system that turns raw customer signal into operational clarity.
That’s the disaster.
Not just that legacy support tools are expensive and that AI resolution rates are disappointing...
The real disaster is that, in 2026, most mid-market SaaS companies are sitting on a goldmine of customer intelligence, and they’re still running the business like that intelligence doesn’t exist.
And somehow, the new wave of support platforms has not fixed this.
In many cases, they’ve made it worse.
A lot of the “AI-native” support tools are just the same old model with a shinier interface.
❌ Same seat-based pricing.
❌ Same rigid workflows.
❌ Same disconnected data.
❌ Same platform lock-in.
Except now you also get charged extra for “AI.”
That’s not innovation.
That’s the old model with a new toll booth.
Support should not be a cost center trapped inside a ticketing system.
Customer Success should not be forced to guess what customers need when the evidence already exists.
Product should not have to rely on anecdotes when thousands of customer conversations are sitting there waiting to be structured.
And companies should not be paying hundreds of thousands of dollars per year for software that still leaves the most valuable customer signals buried.
The winners in this next phase of SaaS won’t be the companies with the most tools.
They’ll be the companies that can turn customer conversations into structured, usable, causal intelligence.
The ones that can see what is happening. Understand why it is happening. And act before it becomes churn, lost expansion, or a product miss.
That’s where support is going.
Not more seats...
Not more duct tape...
Not more AI fees bolted onto legacy pricing...
A system that resolves what it can, escalates what matters, and turns every customer interaction into intelligence the rest of the business can actually use.
That’s the bar now.
And most of the market is still nowhere close.
Until next time,