


Social desirability bias is the tendency of respondents to give answers that appear socially acceptable, thereby overstating desirable behaviour such as sustainable consumption or financial provision and understating undesirable behaviour.
It explains why green electricity tariffs, supplementary insurance and premium products often perform better in surveys than later in the market. Survey research has known about the effect for decades.
Many offers from large consumer companies touch on values: climate protection, health, providing for the family, conscious consumption. This is exactly where the temptation is greatest to present oneself in a survey as one would like to be. This rarely happens on purpose. People often describe their self-image rather than their behaviour.
For a decision, this means: the more strongly an offer is linked to a socially positive attitude, the more likely a survey is to overestimate demand. A business case based on such answers plans with customers who do not exist in those numbers. Conversely, offers that people are reluctant to admit to, such as a budget package instead of the premium option, are underestimated.
The effect depends strongly on the survey mode. It is larger in face-to-face interviews than in anonymous online surveys, but it does not disappear there, because self-image works even without an interviewer present.
An energy supplier asks whether customers would pay five euros more per month for a green electricity tariff. 45 percent agree. In the behavioural test, visitors to a realistic tariff page see either the standard tariff or the green tariff with a surcharge, only one variant per person.
The measured sign-up intent for the green tariff is clearly below that for the standard tariff. The surcharge is therefore viable for a smaller part of the target group than the survey suggests. A follow-up question for the next test would be at what surcharge the difference becomes smaller.
Demand characteristics align answers with the presumed expectations of the researchers, social desirability bias with social norms. Acquiescence bias is a general response style of agreeing with statements regardless of their content. The attitude-behaviour gap describes the outcome, the gap between attitude and behaviour. Social desirability bias is one of its causes, alongside price, habit and effort.
In surveys, anonymous self-completion, indirect questioning techniques and neutral wording help. They reduce the effect but do not eliminate it. In a Painted Door Test there is no question on which someone could make a good impression. People see an offer with a price in their usual online environment and choose it or not. Horizon measures purchase intent or sign-up intent, without a panel, without incentives and without anything being sold.
Behaviour can also be socially shaped, for example when a brand promises status. In that case, however, it is part of the real market situation and not a measurement error. A behavioural test shows what is chosen, not why. Anyone who wants to understand which values lie behind a choice also needs qualitative research. And for offers that concern very sensitive areas of life, the design of the offer page and the choice of target group still need careful alignment.
White, Hardisty & Habib 2019: 65 percent say they want to buy purpose-driven brands, around 26 percent actually do. The underlying survey is not named in the article; the gap has several causes, social desirability bias being one of them. The Elusive Green Consumer, Harvard Business Review. Source
It reduces the effect, especially compared with face-to-face interviews. Because people also maintain a positive image towards themselves, some of it remains even in anonymous online surveys.
Offers with a moral or sensible component: sustainability, health, financial provision, education, fair trade. That is where the gap between answer and choice is typically largest.
There are scales that measure the tendency of individual respondents. A reliable correction factor for demand for a new offer does not follow from them, because the size of the bias varies by topic and target group.
Bring your decision question, and we will outline a possible test design.
You will speak with Daniel Putsche
Founder & CEO, 30 minutes
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