Market research has long treated consumer and B2B respondents very differently when it comes to incentives. In many cases, that makes sense. B2B audiences can be more specialized, harder to identify and harder to reach, and their participation may depend on very specific experience, expertise or decision-making responsibility.
But I think there is a bigger question hiding underneath that distinction: are we compensating people for their time, or are we compensating them based on how difficult they are for us to access?
The people we classify as B2B respondents are still consumers in their personal lives, and the people we classify as consumers may also hold professional roles where they influence purchases, manage budgets, specify products or make business decisions. That does not mean the same individuals are regularly participating in both types of research, nor am I suggesting they are. The point is that consumer and B2B are research categories. They describe the context in which we are asking someone to participate, not two fundamentally different kinds of people. Yet the value we assign to their time can look very different depending on which side of that line they happen to be on.
In B2B research, we are generally comfortable with the idea that meaningful participation requires meaningful compensation. If we are asking a contractor, engineer, plant manager, IT decision-maker, healthcare professional or executive to spend 15 minutes answering our questions, there is usually a fairly direct conversation about what level of incentive is appropriate. If we move into an hour-long interview, the expectation increases accordingly. We recognize that we are asking someone to step away from their work, share knowledge and experience, and give us access to a perspective that may be relatively difficult to find.
Scarcity absolutely matters here, and so does expertise. If I need a very specific type of professional with a very specific set of responsibilities and experiences, there may simply not be that many people who can answer my questions. I may also be asking that person to draw on years of professional knowledge. It makes perfect sense that those factors would influence what we are willing to pay for participation.
But then we move into consumer research and our thinking about compensation can change dramatically. A participant may still be asked for 15 or 20 minutes of their time. We may still expect them to read carefully, recall past behaviors, evaluate concepts, compare products, explain their preferences and work their way through a fairly demanding questionnaire. Yet the incentive might be a few dollars, points, a sweepstakes entry or another relatively modest reward.
Illustrative. Same length, same cognitive effort, very different price.
The obvious explanation is that consumer respondents are generally easier to find. There are more of them, the recruitment universe is larger and the economics of obtaining consumer sample are different from those involved in finding a specialized professional audience. I understand all of that, and I am not arguing that a nationally representative consumer and a highly specialized technical decision-maker should automatically receive the same incentive for a survey of the same length.
What I am questioning is what those differences tell us about the way we think about respondent value.
If we say a B2B participant deserves a higher incentive because their time is valuable, then we have to acknowledge that time itself is probably not what we are primarily valuing. If it were, 20 minutes would have some reasonably consistent value regardless of the subject matter. Instead, we are assigning value to a combination of time, expertise, scarcity, accessibility and, presumably, how badly we need that particular person's perspective.
There is nothing inherently wrong with that. In fact, from a sample marketplace perspective, it makes perfect sense. But I think it is worth being more precise about what we are doing, because saying we are "compensating respondents for their time" does not fully describe the system we have built.
In many cases, we are compensating people according to how difficult they are for us to replace.
Illustrative proportions, not measured weights.
That is a somewhat different proposition.
And I think it becomes especially interesting when we put it alongside all of the conversations our industry is having about respondent experience and data quality. We talk constantly about declining engagement, survey fatigue, speeding, straight-lining, drop-off and the difficulty of getting people to participate thoughtfully in research. We invest in fraud prevention and quality controls because we need confidence that there is a real person on the other side of the survey who is paying attention and giving us considered answers.
At the same time, particularly in consumer research, we can be remarkably focused on how little we can pay for that participation.
Those two things feel connected to me.
To be clear, I do not believe increasing incentives magically produces better data. Someone can take a generous incentive and still provide terrible responses. And no incentive is going to rescue a survey that is unnecessarily long, repetitive, confusing or painful to complete. Respondent experience starts with good research design, and I would never argue otherwise.
But compensation is part of the respondent experience too.
We are asking someone to give us something of value. Their time, certainly, but also their attention, memory, judgment, opinions and sometimes fairly detailed information about their behaviors and experiences. In return, we are offering some combination of compensation and the opportunity to have their voice heard. It is an exchange, whether we think about it that way or not.
So perhaps the better question is not simply how little we can offer while still achieving the required number of completes. Perhaps we should also be asking whether the exchange feels reasonable for what we are requesting.
A five-minute survey asking relatively straightforward questions is one thing. A 20-minute survey requiring someone to evaluate multiple concepts, recall detailed purchases, work through repetitive exercises and answer open-ended questions is something else. Yet we can sometimes think about incentive primarily through the lens of how plentiful the audience is rather than the actual burden we are placing on the participant.
That is where I think we may have something to learn from the way we approach B2B research.
In B2B, we tend to think more holistically about the ask. How senior is the audience? How specialized are they? How difficult are they to reach? How much time are we asking for? Is this a survey or an in-depth interview? Are we asking for particularly detailed or technical feedback? Is the incentive sufficient to make participation worthwhile?
We do not always get it right, of course, but those questions are generally part of the conversation.
Why shouldn't more of them be part of the consumer conversation as well?
I am not suggesting that we abandon the economics of supply and demand. Audience availability will always affect sample cost, and specialized expertise should carry value. A difficult-to-reach B2B participant with highly relevant professional knowledge is providing something different from a broadly qualified consumer answering a straightforward questionnaire. Pretending otherwise would oversimplify the issue in the opposite direction.
But perhaps respondent incentives should reflect more than whether we have a large or small pool of people available to us. Time matters. Burden matters. Cognitive effort matters. Expertise matters. Scarcity matters. The type of information we are asking someone to provide may matter as well.
If we thought about incentives through all of those lenses, rather than starting primarily with the label "consumer" or "B2B," I wonder whether some of our decisions would look different.
There is also something slightly uncomfortable about saying that someone's professional time is valuable while implicitly treating their personal time as substantially less so. Again, I am not suggesting that the same individuals are necessarily participating in both types of studies. I am talking about the underlying logic. People do not suddenly have unlimited time because we are asking about what they buy for their homes instead of what they purchase for their businesses. Personal time is still finite. Attention is still finite. Twenty minutes is still twenty minutes of someone's day.
And consumers are not necessarily giving us information with little commercial value. Quite the opposite. Companies make significant product, marketing, pricing, brand and strategic decisions based on consumer research. We may be asking respondents for opinions that ultimately help inform decisions worth millions of dollars. The fact that there are more people available who can provide those opinions does not mean each individual's contribution requires no meaningful effort.
This is why I think the conversation needs to move beyond whether B2B incentives are "too high" or consumer incentives are "too low." I do not think either statement is universally true, and reducing the issue to that comparison misses the more interesting question.
What are we actually trying to compensate?
If the answer is time, then we should be thinking more consistently about time. If the answer is expertise, then we should say expertise. If it is scarcity, then scarcity should be part of the calculation. If it is survey burden, we should be looking more closely at what we are actually asking someone to do. Most likely, it is all of these things, in different proportions depending on the research.
Maybe that is the framework we should be using.
This also makes me wonder whether the word "incentive" itself influences how we think about the relationship. An incentive is something designed to encourage a behavior. It asks, essentially, "What do I need to give you to get you to do this?" Compensation carries a slightly different implication. It asks, "What is a fair exchange for what I am asking you to give me?"
That may sound like semantics, and perhaps it is. But language has a way of revealing how we think about things.
There will always be budgets. There will always be pressure on sample costs. There will always be a marketplace where some audiences are abundant and others are extraordinarily difficult to reach. None of that is going away, nor should we pretend it will.
But as our industry continues to wrestle with participation, engagement and data quality, I think respondent compensation deserves to be part of that conversation rather than sitting off to the side as primarily a procurement consideration.
We spend a lot of time asking how we can get respondents to give us better data. Maybe we should spend a little more time asking what we are giving them in return.
Because whether someone is participating in research in a consumer context or sharing expertise in a business context, there is still a person on the other side of the survey giving us something we need.
The question is how we decide what that is worth.
Contact: Ariane Claire, Research Director, myCLEARopinion Insights Hub
A1: Yes — and that is worth saying out loud rather than calling it something else.
We describe the system as paying people for their time. Much of the time we are paying according to how hard they are to replace. Both can be defensible. Only one of them is what we say.
A2: No. I am arguing they should be reasoned the same way.
Same framework, different answers. That is a very different thing from same answer.
A3: It is a real risk, and it is an argument for better controls rather than lower pay.
If the defence against fraud is that the reward is too small to be worth gaming, that is not much of a defence.
A4: Not on its own, and I would not claim otherwise.
We invest heavily in detecting disengaged respondents. It is worth asking whether some of that disengagement is a response to the exchange we offered.
A5: Price the ask, not the label.
Most of these questions are already part of the conversation in B2B. Very little stops us from asking them in consumer research too.