Price your brand on evidence, not last year's study. not a quarterly guess. not a gut feeling. not last year's study.

Price Tracker fields the same pricing questionnaire to the same audience definition every month and reports price ceiling, maximum willingness to pay, value for money and brand price health together. Pricing teams use the direction of those metrics to judge when an increase will hold and when it will cost volume.

Flickly runs the fielding, the cleaning and the reporting in one place, so a wave moves from live responses to a written summary without a separate analysis cycle. Saved target groups and question roles mean each new wave requires selection rather than setup, and every export carries the same definitions.

A price tracking study repeats one pricing questionnaire on a fixed cadence with a consistent audience definition, which keeps every round comparable. The output is a set of trend lines for price sensitivity rather than a single reading captured at one moment in time.

A one-off survey describes a single moment, so any movement in price sensitivity stays invisible until another study is commissioned. A tracking study holds the questionnaire and the audience constant, which makes change itself the measurement and adds to the baseline with every wave.

A monthly cadence suits most categories, because it registers competitor promotions and cost pass-through while keeping sample costs predictable. Categories with longer purchase cycles are commonly tracked quarterly, with an extra wave fielded around any planned price change.

Buyers are shown a range of price points and asked where the product becomes too expensive to consider, and the ceiling sits at the point where refusal starts to accelerate. Reading that point month against month reveals whether the category is growing more tolerant of higher prices or less.

Maximum willingness to pay is the highest amount a defined audience will accept for a product before demand falls away. Tracked across waves it becomes the headroom figure a pricing team works against, because a rising line signals room to move and a flat line signals the opposite.

Both belong in one wave, because brand questions on purchase, pack size and packaging carry the same reporting roles as the pricing questions. Running them together shows whether a shift in willingness to pay follows a change in how the brand is perceived or a change in the market around it.

An existing study can be imported, given question roles and published as the first wave of a tracker, and historical rounds can be added by CSV. That approach means the first report arrives with comparison already in place instead of starting from a single empty baseline.