Industries · SaaS

In SaaS, the churn signal arrives too late.

By the time the renewal is at risk, the decision happened months ago. We interview the buyers, the users, and the ones already leaving, then keep a live model of why people pick you, expand, and go.

What it costs to guess
The expensive decisions are the unresearched ones.

Three places saas teams routinely spend real money on an assumption.

Category noise

Positioning that sounds like everyone else

Ten vendors, one value prop. Nobody has tested which version buyers actually repeat back.

We test positioning with your ICP before you commit to it
Expansion

Upsell built on usage data alone

Usage tells you who could expand. It does not tell you what would make them want to.

We interview expansion candidates about what would justify more spend
Renewal

Churn post-mortems, months late

The exit interview happens after the money is gone, if it happens at all.

We interview at-risk cohorts while there is still time to act
Across the customer lifecycle
Every stage has a question worth answering.

The same loop, applied to the saas lifecycle. Each answer updates the model, so the next stage starts smarter.

AwarenessDo they know what we do?
The question

"Can a buyer describe our category and our place in it without our help?"

What we run

Brand health and category comprehension tracking against the alternatives they name.

ConsiderationWhat is the real alternative?
The question

"Are we compared to a competitor, a spreadsheet, or doing nothing?"

What we run

Competitive framing and buyer research on the full alternative set, including inertia.

EvaluationWhich message closes?
The question

"Which value prop moves an evaluator to a trial or a pilot?"

What we run

Message and concept testing with in-market buyers, with the winning language ready to ship.

ConversionWhat justifies the spend?
The question

"What business case do they build internally, and where does it fall apart?"

What we run

Purchase-criteria and pricing research, including the packaging that clears procurement.

RetentionWho is at risk right now?
The question

"Which accounts look fine on paper and have already checked out?"

What we run

Churn analysis on recent leavers and at-risk cohorts, with the early signals that precede an exit.

AdvocacyWho expands and why?
The question

"What makes an account grow, and can we do that on purpose?"

What we run

Expansion and advocacy research with your growing accounts, in their words.

What you end up with
A saas customer model no competitor can buy.

Every study above feeds one model. After a few waves it is the most complete view of your market anyone has, and it is yours.

Messaging housev31
Category positioningv18
Buyer personas and committeev24
Competitive framingv22
Brand healthw12
Verbatim library2.4k
It compounds: each study sharpens the personas, which sharpen the competitive work, which sharpens the messaging. Nothing gets thrown away.

This is the part worth your attention. A study answers one question and expires. A model answers the next question too, and the one after that, and it gets more accurate every time your team uses it.

Ask it anything, in SlackQuery it as digital twinsBrief new hires with itWire it into your stackEvery claim traceable to a verbatim

Version numbers shown are illustrative.

What it sounds like
Real buyer language, not a summary of it.
"We did not churn over the product. We churned because nobody could tell us what we were getting for the renewal."
VP Ops, mid-market SaaS · illustrative
"Your competitor's demo was worse. Their business case was better."
Director of Product · illustrative

Quotes are illustrative until your first wave completes.

Other markets
FintechCybersecurityAIConsumerRetailFood and beverage

See your market, in your buyers' words.

Bring one question your team has been arguing about. We will field it to real buyers in your category and show you the readout, plus the model it updates.