Use caseResearch a pricing change
Before existing customers pay more, or pay differently, hear how each segment reads the change against what it pays today: who accepts it, who trades down, who starts looking elsewhere, and which reasons they would accept.
A price change lands on people who already have a reference point, the amount they pay now, so the study starts with them and with that number.
Upload the accounts the change touches, split the way finance models them, such as long-tenure customers, heavy users or a legacy plan, and Pulse invites each group separately so their answers stay apart from the start.
Each customer says what they would do at the new price, from paying it without comment to downgrading or leaving, and then says why. The reason shows whether the objection is to the amount, the timing or the way the decision was made.
Fieldwork needs no calls on anyone's calendar, and results are ready minutes after the last interview, so the segment-by-segment read reaches the pricing committee while the decision is still open and the size or timing of the change can move.
The world's most ambitious teams research with Pulse.
GrowwFinance models the revenue a new price brings in; the rollout team needs the same model for the customers who pay it, segment by segment, before anyone is told.
Set side by side, the segments show where downgrades and cancellations would cluster, which lets the team phase the change, hold it back for one group or pair it with extra help where exposure is highest.
Customers say what they believe they get for the money, which reasons for an increase they would accept, such as added features or rising costs, and which would read to them as the company taking more for the same.
Where the change sets a price customers have never seen, a short Gabor-Granger ladder asks whether they would still buy at each of a few points; where it only raises an existing price, the ladder is skipped.
Existing customers judge a price change against what they pay now, and that reference point makes researching a change different from pricing a new product. Stated responses such as accepting, downgrading or leaving can be estimated by segment, and they are best used to compare options, because stated intentions overstate real behavior. Interviews show how customers judge value and fairness: the size of an increase matters, and so do the reason given for it and the notice customers get. Since some segments are more sensitive than others, the output usually recommends how to phase or tailor the change and how to support customers who might otherwise leave. For the numbers, the Gabor-Granger technique asks respondents whether they would buy at one price, then at higher or lower prices, and the share who would buy at each point traces a demand curve and a revenue-maximizing price.
Finance forecasts the revenue, product marketing writes the explanation and support prepares for the calls. Working from the same transcripts and recordings, the three plan the rollout around one set of customer answers.
A price rise lands hardest on customers with the least room: a sole proprietor on a legacy plan, a charity on a fixed grant. Their answers, grouped and quoted, show the team how the change would feel to them before anyone is told.
Where resellers carry the price to customers, they will field the first complaint. The brief can add those resellers to the study alongside end customers, so the rollout plan covers what resellers will be asked and how they mean to answer.