02 · Buy from us or from an alternative
A win rate counts outcomes. It cannot tell you which situation made a buyer ready to leave what they were using, or why the buyers who chose an alternative saw the same situation differently.
Definition
A Customer Switching Study is a customer research study that reconstructs why B2B buyers switched. It interviews both the buyers who chose you and the buyers who chose an alternative, following each decision from the struggling moment through the comparison to the moment something was hired and something was fired. It explains the win rate, which scores outcomes without naming what produced them.
Most teams can name who closed. Far fewer can name the circumstance that made those buyers ready to move, which is the only part that tells you how to find the next ones.
Economics
This counts only deals that reached a decision. Buyers who never decided are a different problem, handled by the No-Decision Diagnosis.
Qualified opportunities × decision rate × loss rate × average new-customer ARR
Over one consistent measurement period.
The share that reached a yes or a no rather than stalling.
Most of this was never winnable, and no study will change that. The number is not a target. It is the size of the pool the study draws its explanation from, and it is why a fraction of a point of win rate is worth more than it looks.
Break-even framing in percentage points of movement. Method does not change the size of that movement. It changes how much of the explanation you can trust, and therefore which decisions you can defend making from it. It is not a projected return, and pricing shown is a floor and a typical range, scoped per engagement. See how the three methods differ.
The design
This is the only one of the four decision studies with a losing branch worth interviewing. A buyer who chose a competitor made a real decision, reconstructed the same way, and the contrast between the two groups is where the finding lives.
What made the situation urgent enough to act on, which alternatives they weighed, and which proof resolved the anxiety that nearly stopped them.
The same reconstruction, ending somewhere else. Where the comparison turned, what the alternative appeared to do better, and whether the difference was real or legible.
A won-deal-only study explains your best case back to you. Running both cohorts through the same timeline is what separates the reasons you win from the reasons you happen to record.
What the study resolves
The interview follows the customer's chronological sequence rather than a questionnaire. See the switching interview field guide.
Business implications
Lead with the situation that makes the product the obvious choice, rather than the capabilities that describe it.
Learn which alternatives actually appear in the room, including the spreadsheet and the incumbent, and on what basis each one wins.
Qualify on the situations that predict readiness, and bring the proof that resolves anxiety at the point the comparison is made.
Interview evidence generates hypotheses about why deals turn. Check them against your own win/loss and pipeline data before rebuilding a message on them.
Engagement outline
Review win/loss data, recorded loss reasons and the competitive story the team currently tells.
Select recent won and lost deals in both directions, close enough to recall the decision accurately.
Follow the timeline from the struggling moment through the comparison to the moment something was hired and something was fired.
Deliver patterns, exceptions, the contrast between cohorts, and predictions to test in pipeline data.
Synthetic, AI-moderated and 1:1 expert execution options are compared on the methods page.
Fit
Best suited to Seed to Series B B2B SaaS companies in competitive categories experiencing:
If your qualified deals are stalling rather than going to a competitor, this is the wrong study. Start with the No-Decision Diagnosis instead.
Common questions
Because the record shows who closed, not the circumstance that made them ready to move. Without that, the sales motion cannot be pointed at the situations that predict readiness, so wins arrive when the right buyer happens to show up rather than because the company found them deliberately.
Yes, and a study that skips them explains your best case back to you. Buyers who chose an alternative made a real decision that can be reconstructed the same way. The contrast between the two groups is where the finding lives, because it separates the reasons you win from the reasons you happen to record.
Most win/loss programs survey the deal after it closes and capture a reason code. A switching study reconstructs the buyer's chronological sequence instead, from the struggling moment through the alternatives weighed to the anxieties resolved. The difference is between recording an outcome and recovering the decision that produced it.
Price is the most available answer at the end of a decision, which is why it dominates reason codes. It is sometimes the true cause. More often it stands in for a comparison that turned somewhere earlier, on perceived fit, risk or the buying experience. Reconstructing the sequence is what distinguishes the two.
Start with one decided deal
Bring your win rate, your recorded loss reasons and the account you still cannot explain losing.