A measurement plan for marketing a business
A survey-led guide to recall, advocacy, pricing, and creative decisions.
Begin with a decision
A marketing study is most useful when it is tied to a decision: whether to launch a new offer, which audience to reach, or whether a message is understood. Define the category, geography, and intended buyers before selecting metrics. A business selling to procurement teams needs a different sample from a direct-to-consumer brand selling to households. Distinguish current customers, former customers, and people who have never bought. Record the field dates and recruitment source so later waves can be compared on the same terms.
Measure unaided recall first
Unaided brand recall asks respondents to name brands they associate with a category before showing a list. Keep the question neutral and allow several responses without prompting. Report the share mentioning the brand and the sample size, and define how spelling variants and parent brands are coded. Aided awareness can follow, using a consistent list that includes plausible alternatives. The two measures answer different questions: recognition after a prompt is not the same as being brought to mind independently. Changes in question order or category wording can shift results.
Use NPS with context
Net promoter score, or NPS, summarizes responses to a recommendation question by subtracting the percentage of detractors from the percentage of promoters. It is easy to communicate, but the single number hides the distribution of scores and the reasons behind them. Report the full response distribution, question wording, sample, and timing alongside the score. A recent service failure or an overrepresentation of loyal customers can change it. NPS is not a substitute for observed retention or revenue, and small differences between waves may reflect sampling variability rather than a real change.
Explore price with Van Westendorp
The Van Westendorp price-sensitivity meter asks four price questions: when an offer is too inexpensive, a bargain, expensive but still worth considering, and too expensive. Plot the cumulative responses to explore a plausible price range, while checking that respondents understand the product and currency. The method describes stated perceptions; it does not directly predict purchases at a given price or account for competitors and distribution. Test the wording and handle inconsistent answers using a rule established before analysis. Follow up with behavioral experiments or transaction evidence before setting a final price.
Test concepts before the launch
Give participants a realistic description of each creative concept and randomize the order where possible. Ask what they believe the offer is, who it is for, and what they would do next before asking whether they like it. Measure comprehension and relevance separately from general appeal. If comparing concepts, keep the amount of information and presentation consistent so a longer explanation does not win simply by being easier to understand. A small qualitative pretest can find confusing language before a larger survey, but its feedback is not a population estimate.
Choose useful segments
Segments can include purchase role, category experience, business size, or need. Define them in advance and check their sample sizes before comparing results. A small subgroup may be useful for generating questions but too imprecise for a firm ranking. Weight a sample only when reliable population targets and a suitable design are available, and explain the resulting limitations. For B2B research, separate decision makers from influencers and users; for consumer research, distinguish household needs from an individual's role in the purchase.
Build a repeatable scorecard
A credible tracking scorecard contains the questions, response options, sample definition, field dates, recruitment source, exclusions, and calculation for each metric. Keep core questions stable and mark any changes that affect comparisons. Report uncertainty and follow up on surprises with interviews or a carefully designed experiment. A survey tells you what respondents report under particular conditions; it cannot prove that a campaign caused a change without an appropriate comparison. Use the evidence to prioritize the next decision and revisit the measure after the market has had time to respond.
Explore our panel methodology and planning calculator on the CyberSurvey Telemetry homepage.