Validating concepts with Monadic Testing

Validating concepts with Monadic Testing

Researchers use monadic testing to gather feedback on a single concept from your target audience in a vacuum. The name originates from the Greek word “monos,” meaning alone. Another variation of this is a sequential monadic test— when an audience is questioned about two or more concepts in an isolated survey environment.

Monadic testing

A monadic test is a survey that investigates a single concept in depth with a target audience, broken into at least two groups. It is commonly used in product and concept testing, such as testing creative for a campaign or testing pricing or features for a product. These surveys tend to be short, but extremely focused. 

Because respondents are only being asked for information about a single concept, monadic testing can go in-depth on the subject without creating a lengthy questionnaire. For example, in a monadic test for ad creative, the respondent might first be asked to give their opinion on a specific advertisement. Follow-up questions could include what they liked about the piece, the colors, the images, text, or emotions and feelings they experienced when looking at it. 

If a researcher wants to evaluate multiple concepts, they will need to create multiple samples of the same audience, as each group will still only be reviewing a single concept. If in the earlier example there were three advertisements to be tested, there would be three surveys, each featuring a different ad and asking the same follow-up questions to determine specific details about it. Each survey would be sent to an audience sample that is made up of the same targeting criteria. The results would then be compared and analyzed to determine which creative was preferred by members of the target audience.

Benefits and drawbacks of Monadic Testing

Monadic tests expose respondents to one stimulus independent of contextual information. This gives researchers insight into a respondent’s thoughts about the product or concept when no external distractions are present and can supply some in-depth, clean data to confirm the idea when there are no constraints.

For example, a monadic test might reveal that respondents felt favorably towards a product, while they might express negative ideas about it given information about the brand or when compared to similar products. This lets researchers know that the issue may be related to brand perception or competitive solutions, rather than the product itself. 

Because monadic tests exist to investigate a single concept, they can also go in-depth without becoming too long. This is especially helpful in formats like mobile surveys, which should be kept short enough to captivate the attention of respondents on the go.

A drawback to monadic testing is typically cost, as it requires more respondents to create multiple samples fitting the same targeting criteria to complete the survey in isolation. This can also be challenging when the audience targeting is very narrow and harder to find enough respondents to create two complete samples.

Sequential Monadic Testing

A sequential monadic test (sometimes known as a paired test) is a monadic test that asks respondents about two or more concepts in the same isolated environment. The concepts are often randomized to reduce survey bias but follow the same series of questions about each concept to determine key information. 

An example might be asking groups of respondents in the target audience for opinions on an existing feature and a proposed new feature. One group might be shown the current feature first, while another group is shown the new feature first, then the existing one. Information is gathered to see which feature performed better with the target audience and if exposure to the existing feature played a role in the respondents’ reception of the new concept.

Benefits and drawbacks of Sequential Monadic Testing

Sequential monadic tests are often used when only a small target audience is available or when research budgets are lower. They can be more cost-effective since more concepts can be evaluated in one round, and fewer respondents are needed overall to maintain accurate results. This also means that sequential monadic tests are likely to be completed first.

However, sequential monadic tests are open to various kinds of survey bias. They can be affected by the Interaction Effect, when a respondent who is biased toward earlier concepts, rates others based on a comparison they are keeping in mind. For example, if a respondent sees an ad they like at the beginning, they may view the following ads relative to the first concept and be less likely to say they like them.

They are also at risk of order bias unless the concepts are shuffled regularly to ensure that respondents aren’t regularly being exposed to the concepts in the same order.

Questionnaires also tend to be longer with sequential monadic tests, as more concepts are introduced. This may mean lower completion rates, or if the questionnaire is kept short, the depth of the questions themselves may be limited.

Comparison Testing

Monadic testing and sequential monadic testing differ from comparison tests in that the audience is not being asked to compare different concepts, simply to supply feedback about them, often diving deeper into the concepts as a result.

Comparison testing specifically asks the respondents to compare two or more concepts against one another, such as ranking items in a list or choosing the “best” item presented.

Benefits and drawbacks to comparison testing

Comparison testing supplies easily digestible results. When respondents share that they like a product the best, or would pay more for a specific feature, it’s clear which concept is the winner. 

However, comparison testing rarely supplies context. For example, if there was a specific detail that made the feature worth more to respondents, a comparison test would not reveal that information to researchers. If the detail is then missed when the feature is developed, it may not be the right feature or worth it to respondents to pay for it.

Protomonadic Survey Design

Protomonadic survey design refers to a monadic test that is followed by a comparison test. This is most often used with sequential monadic testing, where respondents are asked to evaluate several individual concepts, then choose the concept they prefer at the end.

Protomonadic research can be useful when validating a sequential monadic test, as it shows whether the preferred concept from the comparison is consistent with the feedback received about each concept.

Common uses for monadic tests (and variations of it) are ad-testing, product testing, concept testing, package testing, and more.

Monadic tests are a simple, yet effective, way for researchers to better understand the reasoning and details of a single concept so they can pivot their strategy, prioritize specific features, or replicate elements that tested positively across future projects.

by Ally

Qualitative vs Quantitative Survey Questions

Quantitative vs Qualitative survey questions

Want a quick summary? Check out the infographic!

Research is developed using quantitative and qualitative research methods to gain a complete understanding of the target audience’s needs, challenges, wants, willingness to take action, and more. However, the right time to use either method (or use both together) can vary depending on your research goals and needs. 

Difference between Quantitative and Qualitative Research

Quantitative research is about collecting information that can be expressed numerically. Researchers often use it to correlate data about specific demographics, such as Gen Z being more likely to focus on their finances than Millennials. Quantitative research is usually conducted through surveys or web analytics, often including large volumes of people to ensure trends are statistically representative. 

Even when the survey audience is very large, quantitative research can be targeted towards a specific audience, usually determined by demographic information such as age, gender, geographic location.

Qualitative research focuses on personalized behavior, such as habits or motivations behind their decisions. This can be gathered through contextual inquiries or interviews to learn more about feelings, attitudes, and habits that are harder to quantify but offer important additional context to support statistical data.

When quantitative and qualitative research are paired, a complete set of data can be gathered about the target audience’s demographics, experience, attitudes, behaviors, wants and needs.

by Ally

How to find survey respondents

How to find survey respondents

You have questions that need answers, all you need now is an audience to complete your survey. But how do you find survey respondents? And how do you make sure they are a good match for the questions you will be asking? 

We’ll dive into the pros and cons of some of the most common ways of finding survey respondents that should be considered before choosing the best approach for you.

Harness the power of social media

Most people have one form or another of staying connected digitally, whether it’s Facebook, LinkedIn, Reddit, or others. Consider that each of these places offers a built-in audience that you can survey.

Pros

• Social media audiences are free to reach out to.
• There’s no limit to how many potential respondents you could have.
• Some platforms, like Instagram, offer quick polls that may work for quick, simplistic surveys.

Cons

• Social media was not designed for survey distribution, and your network is not large or randomized enough to serve as an accurate sample audience. 
• Targeting is extremely limited. Even if you join a group that is specific to your survey (for example, if you want to reach parents of toddlers, you may join a group for mothers sharing parenting tips), you will run into audience bias, as those who are actively supporting a brand or idea on social media tend to be more vocal than the average member of the group.
• No control. You won’t be able to verify information about who takes your survey, or how many times. If your survey is a link, respondents could share or email it outside of your desired target market. 
• Limited functionality. Even using proprietary survey abilities, like Instagram’s polling feature, you're limited in what you can ask. The platform is not complex enough for a full questionnaire or nuanced reporting.

Do-it-yourself with survey research tools

DIY research tools are one of the easiest and most affordable ways to reach respondents at scale. Most come with the option to buy responses from an audience as part of the package, and there are many different survey tools to choose from based on your needs.

Pros

• DIY research tools find participants and manage the distribution for you, which takes all the work of finding respondents off your plate.
• Most of the tools available are incredibly affordable. Services like Pollfish begin at just $1 per completed response and results can come in less than a day.
• Targeting is MUCH better than any comparable option for this price point. Survey tools vet respondents to verify demographic information, ensuring that surveys are matched to the right audience.
• There are many more question types, meaning you can gather data from a variety of different angles. Customize your questionnaire to specific respondents using branching or add media to offer better context.

 Cons

• If you’re not well-versed in research, some survey tools can be harder to use. Choose options that offer live support when possible, to help you through tough spots.
• Although many DIY survey tools are affordable, they do come with a price tag. Make sure you know how much your survey will cost before you launch, and don’t get tricked by survey tools that charge for the audience and the questionnaire builder separately.
• Delivery method is important with DIY surveys—make sure your tool lets you meet respondents where they are: on their smartphones. Mobile survey delivery ensures broader reach and faster results than other methods.

Buy a list of email addresses

Buying a list is an older, email-based approach to conducting surveys. You can buy a list of email addresses from a company that specializes in building these based on psychographic or demographic criteria and manage the distribution of it yourself.

Pros

• Email lists for B2B audiences can be targeted to specific titles and companies you’re looking to reach. 

Cons

• Email lists are expensive, slow, and require a lot of collaboration with the company you bought them from to distribute the survey.
• That B2B audience you paid a premium for? They’re getting too many emails as it is. The odds of them responding to your survey are extremely low.
• If you’re reaching an audience in Europe, list-purchasing will violate the consent rules of GDPR, which could result in significant fines.

Pay-per-click

You can pay for distribution methods to get your survey in front of more people. Google AdWords or sponsoring your survey on a social media post could broaden your audience digitally. 

Pros

• You will broaden and randomize the reach of your survey beyond what you would be capable of using social media or emailing a list.
• You have more control over targeting than you would with social media or an email list (although not more than DIY Survey tools)

Cons

• You’ll get a lot of impressions, but PPC cannot promise click-through rates.
• Expect to pay a lot for clicks when you get them, whether it’s the audience you want. PPC cannot guarantee that the audience you targeted is the only people who will try to complete the survey.

Hire an agency

If all else fails, you can always hire a market research agency. MRAs are made up of professional researchers who can hold your hand through the process, which may be necessary for especially complex projects.

Pros

• You can be completely hands-off. The agency will find survey respondents and manage the entire process for you.
• You’ll have the expertise of professional researchers leading your project, which might be worth the price tag for an especially complex research initiative.
• Your results will be packaged nicely. Instead of allowing you to be overwhelmed by analytics, your research team will present a report of the findings.

Cons

• Like all agencies, MRAs come with a heavy price tag. Expect to pay a premium for high-touch service.
• MRAs are slower than other options. Depending on the urgency of your project, this may not be feasible, especially when instant insights are available.
• Expect a contract with your agency and be prepared to take on the cost and risk of signing on for a full project.

Survey respondents are everywhere if you know where to look. Remember to always consider not only the size of the audience but the ability to reach a specific segment that is representative of the target population for best results. 

Pollfish reaches an audience of over 670 million real consumers engaged on their mobile devices, with advanced targeting and distribution all in one. We’ll help you find a global audience for your survey and get professional support along the way. 

by Ally

How to write good survey questions

How to write good survey questions

Good survey questions lead to good data. But what makes a survey question "good" and when is the right time to use specific types?

At Pollfish, we have distributed tens of thousands of surveys and manually review them all, so we know a thing or two about writing good survey questions. Our experts have compiled a list of the essentials below into a sort-of questionnaire template to make sure you have what you need to create great surveys and get the highest-quality data. 

1. Have a goal in mind.

Consider what you’re trying to learn by conducting this survey. Do you have an idea that you want to validate, or are you hoping that you can disprove an assumption under which you have been operating? Surveys work best when they focus on one specific goal. When building the questionnaire for your survey, it is important to offer questions that support your goal. 

2. Eliminate Jargon.

Just because a concept is clear to you doesn’t mean your target audience is always on the same page. A well-designed questionnaire contains good survey questions to be sure. But they also use plain language (no jargon) to explain concepts or acronyms that customers may be unfamiliar with and offer an opt-out for those who are unsure. Don’t be afraid to use more than one question or offer an example to ensure clarity on complex information in your questionnaire template— a confused audience leads to frustration and low-quality responses.

3. Make answer choices clear and distinct.

When multiple-choice answers are presented, the respondent must make a selection. If these responses overlap or are confusing for the respondent, the quality of the data decreases because they aren’t sure what is being asked of them. Make sure answers are distinct and specific whenever possible so the respondent can confidently choose the best answer.

4. Give users an “other” option.

Make sure that, in a multiple-choice sequence, you’ve given respondents the chance to opt out of the question if it doesn’t apply to them or if none of their answers fit. Provide an option like “no opinion,” “neutral,” or “none of the above.” You can also offer the option to select “other” and provide an open-ended response that can give you more context.

5. Avoid “yes/ no” screening questions.

Screening questions help you connect with a qualified audience at the beginning of the survey. When respondents select a qualified response, they will enter the rest of the survey. However, people are biased toward choosing “yes” or a positive response when presented with a yes/ no question, even if their real opinion is more neutral. To reduce bias, provide a list of answer choices with no indication that one is preferred over the others. 

6. Don’t ask two questions at once.

Each question should focus on obtaining a specific piece of information. When you ask two questions at once using “and” or “or,” you’re introducing another question, which may have a different answer. This will have one of two results: either you’ll confuse your respondents, who are forced to choose the right answer to one question; or your respondents will confuse you with their answers. Either way, make sure you write simple survey questions asking for separate pieces of information as separate questions. 

7. Use skip logic when applicable.

Skip logic, or branching, allows you to create multiple question paths based on an earlier answer. This means more qualified respondents will be asked to answer more in-depth questions and reduces answers like “don’t know” or “no opinion” later. 

8. Use different question types.

Respondents offer better and more thoughtful answers when they are engaged. And that means asking several types of research questions. Use ranking, matrix, open-ended, or multiple-choice questions to stimulate them and keep them interested, especially in a longer questionnaire. Different question types not only keep the respondents engaged (which can increase your completion rates) but can also elicit different responses.

9. Shuffle answer choices for ranking, matrix, and multiple-choice questions. 

We are naturally inclined towards the first information we are presented with—the top answer— in a series of answer options. Shuffling the order of the answer choices reduces bias in responses. However, for answers that relate to one another—such as a Likert scale or timeline—it’s helpful to keep them in an order that flows logically to avoid confusion or misreading.

10. Add media or images to provide helpful context.

Media—such as images, video, or audio clips—provides another level of clarity to your survey questions. You can use these either to give added context to the question or offer media as an answer choice.

11. Always keep the audience in mind.

Remember as you are writing the questions to always keep your target audience in mind. The audience can be as broad as the “general population” or as narrow as you need it to be. The important thing is to know who you want to target so you can communicate with them effectively.

Regardless of the types of survey questions you select, questions should be short, clear, and to the point, but also engage the respondent through multi-media and question types. Remember that the less confused your respondents are, the clearer your data will be. 

These best practices will help you write good survey questions on any platform, including our own. If you have additional questions specific to Pollfish, check out our resource center or reach out to our Support team to learn more.

by Ally

What is a Rating Question? Definition, Examples & More

What is a rating question?

Rating questions (See also: slider questions) allow participants to weigh, or assign numerical values to answers via a graphical interface —using a simple 1-5 star rating system, or 0-100 scale where a higher number is a better score.

Rating Questions are particularly effective on mobile, due to the graphic user interface, and simple tap-to-enter, or drag-and-drop functionality.

Rating questions can be used to evaluate a variety of topics or stimuli, including statements, images, or videos.

Adding rating questions to a mobile survey

Since most mobile survey users prefer simple gestures that can be performed with one hand, these questions are favorites among respondents for their ease of use because of their tapping or drag-and-drop capabilities.

The information you gain is on one parameter—their preference for a particular piece of content.

You can use a series of survey rating questions to understand preferences for different topics and then compare the results.

You may also consider including different types of survey questions to avoid participants falling into a response pattern.

Rating Questions Examples

Here are the rating questions examples you can use when you create a survey with Pollfish.

Star Ratings

Select a rating out of 5 stars, as seen on Yelp or Roger Ebert. This is the simplest form of rating question and provides the cleanest data set. But the nature of the question reduces the depth of response you can get from it.

Slider Ratings

A scale of 1-100 will allow users to rate performance. This question type provides a wider distribution of responses.

Single-Selection Matrix Question 

Rate your choices on a matrix of possible options. By reducing to one response per line, you can ask for a rating on multiple features or products inside the same question.

by Michael Harbolt

Slider questions in mobile surveys

Slider questions in mobile surveys

Slider questions are a form of a survey rating question where the user inputs feedback via a graphical interface.

There are several advantages to using the slider question type on your mobile survey, including:

• They are fun and engaging to users
• They allow for more specificity than a simpler rating scale
• Users are often more inclined to answer truthfully given the flexibility to rate as they see fit

However results from a slider rating can have a wider variety of responses, which can cause challenges in interpreting the overall sentiment of the sample.

Grouping these numerical responses into ranges based on the ratings provided can be helpful in this interpretation, assuming your survey provider supports answer grouping with this type of survey question.

by Michael Harbolt

Single-selection question design

Single-selection question design

Single-Selection, or Single Answer Questions are questions where a user is asked to pick only one answer from a pre-determined set of responses of two or more options. They are one of the most common survey question types and are effective in determining a user’s primary preference among a set of choices.

The most common single-selection questions are multiple choice questions, where users are given a list of responses and asked to pick the best answer.

Why are single-selection questions so popular?

• They close the responses—you provide answers that a user may not have thought of.
• It's easy to analyze their results quantitatively
• They're easy for participants to respond to on mobile devices and stay engaged.

Single-selection and multiple choice questions: Examples & Best Practices

How to write multiple choice questions

Traditional multiple choice questions (like you might find on the SATs) contain 3 parts: the stem (the question or incomplete statement), the correct answer and the distractors.

In mobile market research surveys, multiple choice questions can be used to gauge user opinion.

Multiple choice survey questions are popular for several reasons:

• Everyone has seen them before so there is no confusion as to what to do.
• They are easily consumed on mobile.
• They make reporting very easy.

Just like with traditional multiple choice questions, you need a stem. But there is, of course, no correct answer, just opinions, so all answers hold equal weight.

When creating a stem, create a question with a single-select answer. You want to ensure that there is no ambiguity where someone could select multiple responses, as this creates confusion and results in incomplete results. You can also write an incomplete or "fill-in-the-blank" statement and have the user select the blank.

There are many different kinds of multiple choice questions, but single-selection questions provide straightforward responses that are easy to work with once data collection is complete.

Yes/No answers may be polarizing

Provide limited insights depending on the question. You can offer more than two answer options, including:

A) First Answer
B) Second Answer
C) Third Answer
D) Fourth Answer

Don’t offer too many choices

This will force a user to scroll or take time to compare an answer at the bottom of the list with one from the top—you want the most natural response possible without a user “speed-selecting” the first answer choice as a result of researcher or participant bias.

Scale questions work well on mobile

Another popular type of single-selection question is a Likert scale question. These questions allow users to select from a scale of responses, indicating their feelings towards customer satisfaction. These question types tend to provide the best experience on mobile, for example:

Strongly Agree
Agree
Neutral
Disagree
Strongly Disagree

Single numerical values vs number ranges

You don't have to stick to single numbers. You can ask users to choose between numerical ranges. Just be sure not to “overlap” answers, as this can confuse the respondent:

Considerations for designing a mobile survey

Answers to single answer questions should be shuffled, or randomized where appropriate to remove some of the survey bias and ensure that the participant is selecting the best choice. Researchers tend to write answers in the order they expect them to be answered, and respondents tend to choose the first answer they are presented with.

With Pollfish, there is also the ability to anchor the last answer, by selecting “Shuffle but keep the last one fixed”.

There are times when you do not want to shuffle answers, such as when asking for a numerical response.

You may want to employ a technique of asking single-selection questions in a slightly different way in your survey, to validate that the responses are consistent, reliable, and credible.

If you already have a list of answer choices, batch answers can speed your survey design and avoid the hassle of typing individual answers one at a time. If you have the list on separate lines in an excel sheet, word doc, or similar, simply select “Add batch answers” and cut-and-paste your choices from your source document.

Advanced Tip: If you want to copy the answers from a previous question you created, select “Add batch answers” there and the pop-up window will have your choices available to copy and paste.
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by Ally

Rank order survey questions (and how to use them)

Rank order survey questions (and how to use them)

Rank order survey questions (also called Ranking questions) enable participants to compare items and rank them according to their preference.

The Benefit of Rank Order Survey Questions

The benefit of this over other survey question types like multiple answer survey questions or rating questions is that you gain critical data about a participant's preference of one item as compared to another—versus choosing multiple answers without ranking them or rating on an individual basis.

Ranking Survey Questions vs Rating Survey Questions

Ranking survey questions differ from rating questions in that participants are forced into providing a preference for one item over another—whereas in a rating question, two items may both compare similarly. For example:

“Rank your preference on the hotel amenities during your stay”

• Pool
• Gym
• Bar
• Fast Check-in

Will provide different information than

“On a scale of 1-5, please rate the following hotel amenities”

• Pool
• Gym
• Bar
• Restaurant

In the latter, all categories may receive a “5” – which will tell you how satisfied a guest is, whereas survey ranking questions may provide insight on what the most appealing amenity is.

How To Write Ranking Survey Questions

Unlike other types of survey questions, which may tell you how much a user enjoyed your product or service, Ranking questions are often used to determine what about the experience was most valuable.

For example, if you ran a Mexican restaurant, you may want to know the most popular Mexican dish among Mexican food fans in your area. But let's say you are going to invest in certain parts of your business--new menu, top-shelf ingredients, renovation. But you only have money to invest the money into three projects. It might be helpful also to know which parts of your business customers already love and which they feel could use some improvement.

Here's where ranked-choice survey questions are a must.

Just a few examples for your Mexican restaurant:

Please rank the following in order of importance

• Great cocktails
• Vegetarian options
• A delicious dessert menu
• A top-shelf tequila list
• Ample parking
• Speedy pick-up service

Please rank your favorite Mexican restaurants in the area

• Sleepy Joes
• Cantina Dos Segundos
• Casa Taqueria
• Rosa Mexicana
• Jose Pistolas
• Chipotle

Best Practices for Ranking Survey Questions

Don't read too much into the lower rankings

Once people have selected their favorites or their least favorites, results can get a little noisy. Most people clearly know what they like and don't like, and may just be selecting in the middle to get the question over with. Make sure to take this into account.

Aim for six items

Six items in a ranking question allows for a full range, without creating imprecise answering that longer lists can create. Six items allows you to determine a top 3 very clearly, or get a high end and a low end, with enough options in between. In our experience, between 6-10 items usually work well.

Shuffle items

If your survey platform allows it, set items to shuffle regularly. This will reduce survey bias. In some cases, the top result may be ranked higher because it is first on the list.

Split longer lists into categories

If you have a very long list of different product features that you want ranked, doing a long ranking list will provide messy data that is hard to use. Try splitting your items into categories, keeping lists short and creating multiple questions. It will increase response rates and give you a better dataset.

by Michael Harbolt

How to run effective consumer surveys

How to run effective consumer surveys

If you want more customers, it is worth listening to the feedback provided by the ones you already have. Discovering and understanding what they think about your product/business/brand is critically important to successfully scale your business.

One way that you can find out how your customers are feeling is through surveys. With consumer surveys, you will be able to gather valuable information about their experience and can adjust accordingly. This will be effective in the long run, as listening to customer feedback will inevitably lead to improving people’s experience and creating a loyal customer base.

Surveys can give you the information to help you improve the experience of existing customers but can also help you decide the best way to reach new customers in the future. By finding out how you are viewed by your customers, you can adjust and adapt to create a better experience for everyone. Here are a few tips for writing the most effective customer feedback survey:

Construct a short, yet compelling invitation

The invitation is often the make-or-break factor in deciding whether the recipient clicks through to and completes the survey. Keep this invitation as brief as possible—but without leaving out key details. Make sure that the recipient knows it is coming from your company and briefly explain what the survey will be about. This will be effective because it will refresh the customers’ minds and increase the chance of getting better results.

Keep it short

No one wants to waste their valuable free time answering hundreds and thousands of questions about your company. So, keep your survey concise without sacrificing your goal. Do this by losing unnecessary questions and by making the questions you use specific and useful.

Optimize for mobile

Over 50 percent of most demographic groups have a smartphone, and this number is only increasing. Since the average person checks their phone up to 150x a day, chances are you are going to connect with your audience a lot sooner than on other platforms. By optimizing for mobile usage, your mobile survey will reach more people, and by extending the reach of your survey, you will also get survey responses faster. There is no better way to connect with consumers in the 21st century than reaching them where they are most accessible: on their mobile devices. In this way, you can reach existing or potential customers and learn what they think within hours of creating your survey.

Offer incentives

Depending on your audience, offer incentives or prizes for completing the survey. Incentives undoubtedly lead to more and faster survey responses, but they also occasionally lead to rushed answers and incomplete submissions. Make sure the incentive correlates with the survey and the targeted audience. If you have crafted a compelling invitation, your survey response rate should increase on its own. However, everyone appreciates added incentives.

At Pollfish, you can create custom consumer surveys to find out exactly what your customers think. For example, you can attach videos if you want consumer feedback on a new advertisement. You can also add targeting if you want to find out what a certain demographic of your customers thinks about certain issues.

by Ally