For Seed to Series B founders and growth leaders
Buyers must decide to act, buy from you, adopt the product and keep paying. Small losses at each decision multiply before new growth reaches retained revenue.
Customer decision research for B2B growth
Customer decision research is qualitative research that explains the four decisions behind B2B growth metrics: whether a buyer acts, buys from you, adopts the product, and renews. A funnel report tells you the size of each loss. It cannot tell you which customer decision produced it, or whether that decision is changeable. Those are two different questions, and only one of them is answered by more dashboard resolution.
Founder math
Enter the numbers you already report. The model carries a cohort of qualified opportunities through all four decisions and shows what reaches retained revenue.
The same pipeline produces very different results depending on where growth fails. Start from an example, or enter your own numbers below.
These scenarios are illustrative and fictional. They are not benchmarks.
Use a single, consistent cohort or measurement period for every input.
Every rate below must be measured over this same window. Changing it re-labels your inputs. It does not convert them.
Method does not change the size of the movement. It changes how much of the explanation you can trust, and therefore which decisions you can defend making from it.
| Decision | Now | Added retained customers | Added ARR |
|---|
This model follows a single new cohort, so it sizes retention against new growth only. That is why Renew ranks where it does above.
If churn is destroying revenue in your installed base, the effect is larger than anything shown above and a different model applies. Explore the Churn Decision Study
This directional scenario identifies where explanation may be valuable. It does not predict the result of research or guarantee improvement. In a multiplied chain, five points added at the weakest decision always moves more than five points added anywhere else. That part is arithmetic. The part worth investigating is why that decision is weak.
The four decisions
Each decision has a number your team already tracks, and an explanation your team is usually guessing at.
You know the no-decision rate. You do not know why urgency failed to become commitment.
Explains your no-decision rate
You know who converted. You do not know which situation made those buyers ready to switch.
Explains your win rate
You know who completed onboarding. You do not know whether meaningful work changed hands.
Explains your activation rate
You know when they cancelled. You do not know where the decision to leave began.
Explains your churn rate
Part 2 · Modeled movement
Part 1 named the decision carrying the most leverage. This models what a change there is worth, and how small that change would need to be before a study has paid for itself.
Percentage points added to win rate, currently 30%.
Method does not change the size of the movement. It changes how much of the explanation you can trust, and therefore which decisions you can defend making from it.
Studies start at $5,000. Most run $10,000 to $20,000.
Scoped by the question and the cohort, not by research method.
At the $5,000 floor it is 0.4 points. At $20,000 it is 1.4 points.
Two things this model does not do. It holds the other three decisions constant, and in practice they interact: qualifying harder to lift the decision rate usually reduces opportunity volume at the same time. And research explains a decision. It does not move a metric on its own. A change you make in response to it might. Pricing shown is a floor and a typical range, scoped per engagement. See how the three methods differ.
Qualification
A customer decision study becomes useful when all four of these are true. When one is missing, the honest answer is usually to wait.
Common questions
Qualitative research that explains the customer decision behind a growth metric rather than measuring the metric again. It covers four decisions: whether a buyer acts rather than keeping the status quo, buys from you or an alternative, adopts the product or keeps the old behavior, and renews or leaves. Each maps to a number most B2B teams already report.
The one where a commercially important number has an explanation your team is guessing at. The founder math on this page models where a five-point improvement moves the most, which is a useful starting point, though in a multiplied chain that is usually whichever rate is lowest. The arithmetic tells you where to look, not what is wrong.
Win/loss captures a reason code after a deal closes, and NPS captures a score. Both record an outcome. Customer decision research reconstructs the sequence that produced it, in the customer's own chronology, including the buyers who never reached a decision at all and are usually excluded from win/loss programs entirely.
When any one of four conditions is missing: the number is commercially important, the team lacks confidence in its explanation, the underlying behavior is potentially changeable, and recent buyers or customers can reconstruct what happened. If the behavior cannot change or nobody can recall the decision, the honest answer is to wait.
Customer decision review
We will identify the customer decision behind it, the evidence you already have and whether a focused study is the right next move.