Setting age ranges in the Pollfish survey platform (Video)
Setting age ranges in the Pollfish survey platform
There are a number of reasons that age range can be an important, or even necessary, setting in a survey’s demographic targeting.
When should you set an age range in a survey?
If you are selling a product or service that is tailored to the needs or wants of a certain demographic, it is beneficial to be able to reach only those who fit your desired audience, rather than sending the survey broadly and having to throw away responses from people who aren’t a fit for your research audience.
This is true for any audience targeting criteria: if you are selling farming tools, it would make sense to avoid respondents living in urban areas. Similarly, responses from retirees will likely not give you valuable data if you are attempting to market a product to teens.
Targeting age groups in a survey can be used to include or exclude certain audiences by age range or quota. A common use is to ensure that respondents are of legal age to vote, drink, or smoke before asking questions that are related to those products.
Age range, and other demographics, are set at the beginning of the survey to hone in the right target audience.
How to identify and reach target audience age groups
Most survey tools include some demographic settings and others require a series of questions to hone in on these specifics. The best way to ask a question to learn the target audience’s age is to ask them to select an age range from a list of multiple-choice options.
A common sample question to define age group targeting for a survey is
What is the age group you belong to?
- 16-17
- 18-24
- 25-34
- 35-44
- 45-55
- >54
- Prefer not to say
In Pollfish, all demographic data is gathered from respondents when they join the Pollfish survey audience. Rolling profiling keeps this data up to date to ensure respondent details are accurate.
Because we already have this information, you don’t need to ask respondents about their age or birthday, you can simply set the targeting criteria you want and we will distribute the survey to people who meet the targeting requirements.
You can ask additional screening questions to target specific attitudes or behaviors that will further narrow the target audience.
How to set age range targeting in Pollfish
When you are creating a Pollfish survey, you begin with your audience targeting page. Here, you will find all age groups listed and selected already. If you want to only reach a segment of the population, for example, those age 18-34, you can deselect the other categories. Only those which you have chosen will receive the survey.
You can also apply quotas to these groups in order to weight the percentage of respondents from each cohort who receive the survey.
If you have a specific age group that you’re looking for, such as Gen Z audiences, you may need to input exact ages to reach the range that best fits for you. This can be done by selecting “Specific age range” and inputting a minimum and maximum range for your audience.
Because we are COPPA compliant, we don’t survey children age 15 or younger. The youngest members of the Pollfish audience are 16.
Mobile surveys help you reach target audience age groups
A unique benefit of Pollfish is the mobile distribution model. The world is becoming increasingly accessible by mobile device, with nearly everyone having a smartphone at their disposal. Additionally, mobile is the primary (or only) way that some people connect to the internet.
App-based surveys offer a massive reach to survey audiences of all ages, including harder to reach segments such as Gen Z, international audiences, and specific markets.
Using mobile ad IDs rather than a survey link, we can map demographics back to individual users of a device (as mobile phones are rarely used by more than one person).
This also means that we are able to maintain demographic profiling on respondents so you can target and tailor questions for them, rather than spending your time creating questions asking them their basic data.
This article updated April 2020 to reflect changes to COPPA regulations regarding minimum targeting age.
Frequently asked questions
Why should you set an age range in a survey?
You should set an age range in a survey if you are selling a product or service tailored to the needs of a certain demographic. It is beneficial to be able to reach only those who fit your desired audience, rather than sending the survey broadly and having to throw away responses from people who aren’t a fit for your research audience.
Do age ranges help with targeting an audience in market research?
Age range is one of several targeting criteria in market research. Targeting age groups in a survey can be used to include or exclude certain audiences by age range or quota. A common use is to ensure that respondents are of legal age to vote, drink, or smoke before asking questions that are related to those products.
When should you set an age range in an online survey?
Age range, and other demographics, are set at the beginning of the survey to hone in the right target audience.
How can researchers identify and reach target audience age groups in an online survey?
Most survey tools include some demographic settings and others require a series of questions to hone in on respondents' age. The best way to ask a question to learn the target audience’s age is to ask them to select an age range from a list of multiple-choice options.
A common sample question to define age group targeting for a survey is
Frequently asked questions
Why should you set an age range in a survey?
You should set an age range in a survey if you are selling a product or service tailored to the needs of a certain demographic. It is beneficial to be able to reach only those who fit your desired audience, rather than sending the survey broadly and having to throw away responses from people who aren’t a fit for your research audience.
Do age ranges help with targeting an audience in market research?
Age range is one of several targeting criteria in market research. Targeting age groups in a survey can be used to include or exclude certain audiences by age range or quota. A common use is to ensure that respondents are of legal age to vote, drink, or smoke before asking questions that are related to those products.
When should you set an age range in an online survey?
Age range, and other demographics, are set at the beginning of the survey to hone in the right target audience.
How can researchers identify and reach target audience age groups in an online survey?
Most survey tools include some demographic settings and others require a series of questions to hone in on respondents' age. The best way to ask a question to learn the target audience’s age is to ask them to select an age range from a list of multiple-choice options.
A common sample question to define age group targeting for a survey is
Hire a research expert for your next project
Hire a research expert for your next project
TL;DR: Get the infographic!
Whether you want to do it yourself, or need a little assistance, there are different degrees of hands-on support available to design and launch your ideal Pollfish survey.
One of the ways that Pollfish stands out from other survey platforms is by offering our users real research expertise in building and designing the survey they need.
This is a powerful way to get the most out of the Pollfish platform.
Why trust your survey to a research expert?
Every role and industry has a need for data to learn, measure, and grow its success. However, not everyone who needs data has a background in research or analytics. This is why we offer Pollfish users the option to hire a research expert for their projects.
Bringing a research expert on board has been helpful for clients working on particularly complicated research projects, such as setting up a recurring study for brand tracking, as well as those who are newer to the platform and want more hands-on guidance with how the platform works. Even those who might like to run a Pollfish survey, but simply don’t have the time can rely on their researcher to set up, design, and launch a survey on their behalf giving them the power of a professional researcher on their team on a project-by-project basis.
The professional researchers at Pollfish are experts in market research best practices as well as the Pollfish platform, bridging the knowledge and experience gap typically left by market research tools that rely on a completely self-serving model.
How to hire a research expert
Adding a research expert to your project is an easy three-step process that sets your survey up for success.
Start by logging into your Pollfish dashboard. In the dashboard you'll see the option to "Hire an Expert," marked in green, on the upper right hand side, right beside your email address. This way, you can directly hire a research expert.
From there, you’ll be given an overview of what to expect during your process and invited to book a free consultation with a research expert.
During the free initial consultation, you’ll have the chance to chat with an expert who will work with you to understand your research goals and needs. Then, they will be able to build a quote based on how many questions, the number of completed responses, and the targeting parameters you will need to complete your research.
The quote from your expert will be based on the scope and targeting needed for your project, as well as the fee for their service. This amount ranges on the complexity of the project and is considered on a case-by-case basis, however, you will be quoted all associated costs of your project upfront to ensure you have all the information you need to make the right decision.
If you choose to hire a researcher to your team, your expert will be added to your team in the Pollfish platform, where they will ensure your survey project is properly designed and launched.
All researchers on the professional services team are experts in survey market research, as well as Pollfish’s tool and features, so you can feel confident that you have made an investment in your survey’s success.
What services do research experts provide?
Hiring a research expert in Pollfish offers a layer of customization beyond what the DIY platform offers. Some of the most common examples of work that our research experts have done for our clients include:
Building your survey on Pollfish.
If you have a survey created already and would like to deploy it on Pollfish but aren’t sure where to start, our research experts can offer a hands-on introduction. They will invite you to join them for a walkthrough of the platform as they design and set up your existing survey for you, giving you confidence that it’s done correctly and giving you the tools to launch it yourself next time.
Survey creation and design.
One of the most popular needs is having someone with professional experience and platform familiarity available to manage survey creation for you. For lean teams or those too busy or unsure about research to manage their own projects, Pollfish experts can take the burden of survey design and research off your plate entirely.
Data analysis
. Oftentimes when results come back they can be hard to interpret. Apart from knowing the ins and outs of our platform, our experts are professionals in distilling insights into usable information to make the most of your project.
Consulting on complex projects.
Oftentimes projects have bigger needs and harder-to-reach audiences that require the years of research experience that we offer. Our experts have been users of the platform since the beginning and have helped to shape many of the features, so they know exactly how to set up a Pollfish survey for even the most customized research needs.
Because project goals and needs can vary so significantly, it’s best to book a free consultation to align on expectations. Experts are committed to empowering you with what you need from DIY research, whether it's better platform education or lending a helping hand to your team. An initial conversation will help them guide you to the best solution for your project.
Other experts at Pollfish
If you’re not sure if your survey requires a professional researcher or would like to get started on your own, there are other professionals at Pollfish who are happy to help.
Pollfish Elite plan includes dedicated account managers to provide answers and guide you to resources to build your best survey. Account managers serve as a single point of contact for clients on this plan to contact for any Pollfish-related questions they have.
Our basic plan offers a pay-as-you-go model for those unable to commit to a larger plan, but still offers elite customer service. Our 24/7 CX team is made up of real people who can offer support throughout the survey creation process. They manually review every survey that is launched on the platform, giving them insight into common needs for all kinds of users and projects.
No matter your skill level or research goals, we are confident that we have the team that can help you get there.
How to weight your survey results in Pollfish (Video)
How to weight your survey results in Pollfish
Surveys aim to gather insights from certain populations of interest. Oftentimes, that population of interest is large and diverse, which can make it very difficult to gather enough data from sample that is representative of the whole. This is why some researchers use survey weighting.
How post-stratification works
Because research cannot always be conducted against a statistically representative sample, Pollfish created and launched the post-stratification feature. Post-stratification adds survey weighting to age and gender demographics to match what those populations should be according to the census data for that region, then adjusts the results to reflect the change.
For example, if a survey is conducted to the general population of the United States, the number of participants may skew male or female, older or younger, and not reflect the actual demographic makeup of the country. When post-stratification is applied, results are adjusted against the census data to develop a more accurate dataset with just one click.
Who should use post-stratification?
Post-stratification survey weighting is an especially powerful tool for researchers working with large, diverse populations, such as entire countries. In cases like these, it can be hard to reach a representative sample of the demographics that make up the population of interest. To ensure that the results are representative of the area, researchers can select “post-stratification” on their results page when a survey is complete and weighted data will be displayed below the raw data that reflects a more accurate representation of the audience, according to the census data for their region.
Benefits of the post-stratification feature
There are a number of ways that post-stratification survey weighting can help researchers.
- Statistically representative audience: Post-stratification offers more statistically representative age and gender data for 34 countries globally, and individually against the 50 US states and Puerto Rico.
- Rapid weighting: Researchers who need data stratification have often done manual weighting to adjust their results. Post-stratification offers a single click to view the weighted data.
- Exporting and Analysis: If you want to view or manage post-stratified data outside of Pollfish, weighted data is included as an extra column in Excel and SPSS exports.
- Income stratification: When possible, post-stratification will include weighted data for respondents’ income for audiences in the United States and Canada. It is not required for respondents to provide this information so if the field is missing, post-stratification cannot be completed.
Demographics weighted for Census data
When stratification is applied at the end of the survey, age and gender are weighted to reflect the census data of the region in which the survey was conducted. Age and gender are included in all 34 countries to which post-stratification is applicable. In the US, each state’s census data will be used automatically unless there is insufficient data for that state, in which case it will default to the general country’s population.
Income stratification is restricted to the US and Canada as the census data for income in the EU is unavailable. Income stratification is only available when a sufficient amount of data has been supplied by the respondents, as it is not a required field during profiling. If corresponding census data is unavailable for any field in the US, Canada, or the EU, stratification cannot be completed.
How post-stratification accounts for younger audiences (ages 0-14)
The Child Online Privacy Protection Act (COPPA) limits the collection and use of personal information about children (defined as those under age 13) by operators of online services. As a COPPA compliant company, Pollfish does not target audiences younger than 14 years of age, however, Census data includes information from children at any age. To account for this, we used a linear weighted model to distribute the participation of audiences under 14 years old across all the other age groups in the census.
Census data used in survey weighting
The United States Census data is available in every US state and is as recent as 2017. The information used comes directly from the American Community Survey (ACS), an ongoing survey conducted by the US Census Bureau. As the largest household survey administered by the Census Bureau, the data is continually collected and used by businesses in both the public and private sectors. It contains census data for all 50 US states, the District of Columbia, and Puerto Rico.
The census data for the EU comes from Eurostat’s 2011 population and housing census survey. The survey is conducted decennially among the 28 countries belonging to the EU, as well as Iceland, Liechtenstein, Norway, and Switzerland.
Geographic regions that support post-stratification
Pollfish post-stratification of age and gender is available in all of the following countries:
Austria
Belgium
Bulgaria
Canada
Croatia
Cyprus
Czechia
Denmark
Estonia
Finland
France
Germany
Greece
Hungary
Iceland
Ireland
Italy
Japan
Latvia
Liechtenstein
Lithuania
Luxembourg
Malta
Netherlands
Norway
Poland
Portugal
Romania
Slovakia
Slovenia
Spain
Sweden
Switzerland
United Kingdom
United States
Weighted data for North America
In the United States, post-stratification can be applied to all 50 US states, the District of Columbia (Washington DC) and Puerto Rico. Because the weighted data is based upon the ACS by the US Census Bureau, US territories (American Samoa, Guam, the Northern Mariana Islands, and the US Virgin Islands) are not able to be stratified.
Income post-stratification is only available in the United States and Canada, as the census data for the EU doesn’t include income. Because income is not a mandatory field in initial respondent profiling, it cannot be stratified if the information provided by respondents regarding it is insufficient. It will be automatically included in post-stratification results for the US and Canada if the data is available.
Post-stratification of multiple countries
Post-stratification can be applied to surveys that field to multiple countries, so long as all of the countries have corresponding census data. The responses are collected, age and gender stratified to the census data representative of the respondent’s country, and the data of all countries is merged and presented with appropriate weighting applied for a complete dataset on the results page.
Tips for using Pollfish post-stratification
Fortunately, applying post-stratification is as simple as selecting the button “post-stratification” on the results page, but there are still a couple of considerations to keep in mind when using this exciting feature.
When to use post-stratification vs quotas
Post-stratification is a powerful feature for researchers looking to ensure their raw data is representative of the general population. Using census data as a control, researchers are able to instantly weight their results by selecting “post-stratification” when the survey completes. Researchers might use this in a survey of a general population.
However, if a survey must meet a set percentage of participants from an age or gender group, setting quotas at the beginning of the survey is the way to go. Quotas may cause the survey to take a bit longer but will ensure that the distribution of respondents from each cohort is exact, rather than manipulating the data to match a percentage based on the results. Quotas would be a better fit for reaching a specific audience that isn’t representative of the general population, such as readers of a certain publication where the researcher knows the audience skews female.
Quotas and custom age ranges do not affect the stratification algorithm, so it is possible to apply survey weighting to your results even if these targeting parameters have been applied. There is no added benefit to using these together, as they both are designed to adjust data for different reasons.
Exporting post-stratified results
Weighted results can be exported in Excel and SPSS as another column added onto the regular export data. PDF export is currently unavailable.
When results can be stratified
Post-stratification is not viewable in real-time, it is only available once the survey is complete and all responses are collected. Once all results are in, they can be weighted instantly by selecting “post-stratification” on the left-hand side of the results dashboard. The stratified results will appear below the raw data.
Household Income Levels By Country
Household Income Mapping: Understanding Household Income Levels By Country
Demographic questions are translated and tailored to each country and culture through multilingual surveys and other question differentiators. One of the key differentiators in each country is the income ranges used. To address this properly, Pollfish created an outline based on the appropriate census to show household income levels by country.
USA
| Income Level | Range |
|---|---|
| Lower income I | Under $25,000 |
| Lower income II | Between $25,000 and $49,999 |
| Middle income I | Between $50,000 and $74,999 |
| Middle income II | Between $75,000 and $99,999 |
| High income I | Between $100,000 and $124,999 |
| High income II | Between $125,000 and $149,999 |
| High income III | $150,000 or more |
Argentina
| Income Level | Range |
|---|---|
| Lower income I | Menos de $15,000 |
| Lower income II | $15,000 a $29,999 |
| Middle income I | $30,000 a $44,999 |
| Middle income II | $45,000 a $74,999 |
| High income I | $75,000 a $124,999 |
| High income II | $125.000 a $199,999 |
| High income III | $200.000 o más |
Australia
| Income Level | Range |
|---|---|
| Lower income I | Under AU$15 000 |
| Lower income II | Between AU$15 000 and AU$29 999 |
| Middle income I | Between AU$30 000 and AU$44 999 |
| Middle income II | Between AU$45 000 and AU$74 999 |
| High income I | Between AU$75 000 and AU$124 999 |
| High income II | Between AU$125 000 and AU$199 999 |
| High income III | AU$200 000 or more |
Azerbaijan
| Income Level | Range |
|---|---|
| Lower income I | 25500₼-dan az |
| Lower income II | 25499₼ və 59499₼ arasında |
| Middle income I | 59500₼ və 118999₼ arasında |
| Middle income II | 119000₼ və 178499₼ arasında |
| High income I | 178500₼ və 237999₼ arasında |
| High income II | 238000₼ və 297499₼ arasında |
| High income III | 297500₼ və ya daha çox |
Bangladesh
| Income Level | Range |
|---|---|
| Lower income I | ৳1,275,000-এর কম |
| Lower income II | ৳1,275,000 এবং ৳15,999,999-এর মধ্যে |
| Middle income I | ৳16,000,000 এবং ৳32,999,999-এর মধ্যে |
| Middle income II | ৳33,000,000 এবং ৳49,999,999-এর মধ্যে |
| High income I | ৳50,000,000এবং ৳67,999,999-এর মধ্যে |
| High income II | ৳68,000,000 এবং ৳84,999,999-এর মধ্যে |
| High income III | ৳85,100,000 বা তার অধিক |
Belgium
| Income Level | Range |
|---|---|
| Lower income I | Moins de 22.000€ |
| Lower income II | Entre 22.000€ et 44.000€ |
| Middle income I | Entre 44.000€ et 65.999€ |
| Middle income II | Entre 66.000€ et 87.999€ |
| High income I | Entre 88.000€ et 109.999€ |
| High income II | Entre 110.000€ et 131.999€ |
| High income III | 200 000 € et plus |
Brazil
| Income Level | Range |
|---|---|
| Lower income I | Abaixo de R$5000 |
| Lower income II | R$5.001 a R$10.000 |
| Middle income I | R$10.001 a R$20.000 |
| Middle income II | R$20.001 a R$40.000 |
| High income I | R$40.001 a R$50.000 |
| High income II | R$50.001 a R$60.000 |
| High income III | R$60.001 ou mais |
Bulgaria
| Lower income I | Под 15.000 |
| Lower income II | Между 15.000 и 29.999лв |
| Middle income I | Между 30.000 и 44.999 лв |
| Middle income II | Между 45.000 и 74,999 лв |
| High income I | Между 75.000 и 124.999 лв |
| High income II | Между 125.000 и 199.999 лв |
| High income III | 200.000 лв или повече |
Canada
| Income Level | Range |
|---|---|
| Lower income I | Under C$25 000 |
| Lower income II | Between C$25 000 and C$49 999 |
| Middle income I | Between C$50 000 and C$74 999 |
| Middle income II | Between C$75 000 and C$99 999 |
| High income I | Between C$100 000 and C$159 999 |
| High income II | Between C$160 000 and C$199 999 |
| High income III | C$200 000 or more |
Chile
| Income Level | Range |
|---|---|
| Lower income I | <4.000.000 CLP$ |
| Lower income II | 4.000.000 - 12.000.000 CLP$ |
| Middle income I | 12.000.000 - 20.000.000 CLP$ |
| Middle income II | 20.000.000 - 30.000.000 CLP$ |
| High income I | 30.000.000 - 48.000.000 CLP$ |
| High income II | 48.000.000 - 80.000.000 CLP$ |
| High income III | >80.000.000 CLP$ |
China
| Income Level | Range |
|---|---|
| Lower income I | 10,000¥ 以下 |
| Lower income II | 介於 10,000 到 24,999¥ 元之間 |
| Middle income I | 介於 25,000 到 39,999¥ 元之間 |
| Middle income II | 介於 40,000 到 59,999¥ 元之間 |
| High income I | 介於 60,000 到 89,999¥ 元之間 |
| High income II | 介於 90,000 到 149,999¥ 元之間 |
| High income III | 150,000¥ 元以上 |
Columbia
| Income Level | Range |
|---|---|
| Lower income I | <11.500.000 COP$ |
| Lower income II | 11.500.000 - 35.000.000 COP$ |
| Middle income I | 35.000.000 - 70.000.000 COP$ |
| Middle income II | 70.000.000 - 95.000.000 COP$ |
| High income I | 95.000.000 - 135.000.000 COP$ |
| High income II | 135.000.000 - 230.000.000 COP$ |
| High income III | >230.000.000 COP$ |
Czech Republic
| Income Level | Range |
|---|---|
| Lower income I | Pod Kč 25,000 |
| Lower income II | Mezi Kč 25,000 a Kč 49,999 |
| Middle income I | Mezi Kč 50,000 a Kč 74,999 |
| Middle income II | Mezi Kč 75,000 a Kč 99,999 |
| High income I | Mezi Kč 100,000 a Kč 124,999 |
| High income II | Mezi Kč 125,000 a Kč 149,999 |
| High income III | Kč 150,000 nebo více |
Denmark
| Income Level | Range |
|---|---|
| Lower income I | Under 160.000 kr |
| Lower income II | Mellem 160.000 kr og 320.000 kr |
| Middle income I | Mellem 320.000 kr og 499.999 kr |
| Middle income II | Mellem 499.000 kr og 649.999 kr |
| High income I | Mellem 650.000 kr og 799.999 kr |
| High income II | Mellem 800.000 kr og 949.999 kr |
| High income III | 950.000 kr eller mere |
Ecuador
| Income Level | Range |
|---|---|
| Lower income I | $5,000 |
| Lower income II | $5,001-15,000 |
| Middle income I | $15,001-22,000 |
| Middle income II | $22,001-35,000 |
| High income I | $35,001-55,000 |
| High income II | $55,001-100,000 |
| High income III | >$100,000 |
Egypt
| Income Level | Range |
|---|---|
| Lower income I | أقل من 12.000 ج.م |
| Lower income II | من 12.000 الى 19.999 ج م |
| Middle income I | من 20.000 الى 29.999 ج م |
| Middle income II | من 30.000 الى 39.999 ج م |
| High income I | من 40.000 الى 54.999 ج م |
| High income II | من 55.000 الى 72.000 ج م |
| High income III | أكثر من 72.000 ج.م |
Estonia
| Income Level | Range |
|---|---|
| Lower income I | 840000 € või rohkemAlla 14.400 € |
| Lower income II | 14.400 - 19.999 € |
| Middle income I | 20.000 - 29.999 € |
| Middle income II | 30.000 - 49.999 € |
| High income I | 50.000 - 64.999 € |
| High income II | 65.000 - 84.000 € |
| High income III | 84.000 € või rohkem |
Finland
| Income Level | Range |
|---|---|
| Lower income I | 200 000 € or moreAlle €22 000 |
| Lower income II | €22 000 ja €44 000 välillä |
| Middle income I | €44 000 ja €66 000 välillä |
| Middle income II | €66 000 ja €88 000 välillä |
| High income I | €88 000 ja €110 000 välillä |
| High income II | €110 000 ja €132 000 välillä |
| High income III | yli €132 000 |
France
| Income Level | Range |
|---|---|
| Lower income I | Moins de 22.000€ |
| Lower income II | Entre 22.000€ et 44.000€ |
| Middle income I | Entre 44.000€ et 65.999€ |
| Middle income II | Entre 66.000€ et 87.999€ |
| High income I | Entre 88.000€ et 109.999€ |
| High income II | Entre 110.000€ et 132.000€ |
| High income III | 200.000 € et plus |
Germany
| Income Level | Range |
|---|---|
| Lower income I | Unter €22.000 |
| Lower income II | Zwischen €22.000 und €44.000 |
| Middle income I | Zwischen €44.000 und €65.999 |
| Middle income II | Zwischen €66.000 und €87.999 |
| High income I | Zwischen €88.000 und €109.999 |
| High income II | Zwischen €110.000 und €131.999 |
| High income III | mehr als €132.000 |
Georgia
| Income Level | Range |
|---|---|
| Lower income I | 47,500 ამერიკულ დოლარამდე |
| Lower income II | 47,500-დან 126,199 ამერიკულ დოლარამდე |
| Middle income I | 126,200-დან 252,399 ამერიკულ დოლარამდე |
| Middle income II | 252,400-დან 378,599 ამერიკულ დოლარამდე |
| High income I | 378,600-დან 504,799 ამერიკულ დოლარამდე |
| High income II | 504,800-დან 630,999 ამერიკულ დოლარამდე |
| High income III | 631,000 ამერიკულ დოლარზე მეტი |
Greece
| Income Level | Range |
|---|---|
| Lower income I | Λιγότερο από €15.000 |
| Lower income II | €15.000 έως €29.999 |
| Middle income I | €30.000 έως €44.999 |
| Middle income II | €45.000 έως €74.999 |
| High income I | €75.000 έως €124.999 |
| High income II | €125.000 έως €199.999 |
| High income III | €200.000 και περισσότερο |
Hungary
| Income Level | Range |
|---|---|
| Lower income I | 600 000 Ft vagy kevesebb |
| Lower income II | 600 000 – 1 439 999 Ft |
| Middle income I | 1 440 000 – 2 039 999 Ft |
| Middle income II | 2 040 000 – 2 999 999 Ft |
| High income I | 3 000 000 – 4 199 999 Ft |
| High income II | 4 200 000 – 5 999 999 Ft |
| High income III | 6 000 000 Ft felett |
India
| Income Level | Range |
|---|---|
| Lower income I | Under 50,000 Rupees |
| Lower income II | 50,000 Rupees to 149,999 Rupees |
| Middle income I | 150,000 Rupees to 199,999 Rupees |
| Middle income II | 200,000 Rupees to 349,999 Rupees |
| High income I | 350,000 Rupees to 499,999 Rupees |
| High income II | 500,000 Rupees to 699,999 Rupees |
| High income III | 700,000 Rupees or more |
Indonesia
| Income Level | Range |
|---|---|
| Lower income I | Kurang dari Rp 370.533.000 |
| Lower income II | Antara Rp 370.533.000 dan Rp 741.032.000 |
| Middle income I | Antara Rp 741.032.000 dan Rp 1,111,647,000 |
| Middle income II | Antara Rp 1,111,647,000 dan Rp 1,482,436,000 |
| High income I | Antara Rp 1,482,436,000 dan Rp 1,853,034,400 |
| High income II | Antara Rp 1,853,034,400 dan Rp 2,222,960,200 |
| High income III | Rp 2,222,960,200 ke atas |
Ireland
| Income Level | Range |
|---|---|
| Lower income I | Less than €15,000 |
| Lower income II | €15,000 to €29,999 |
| Middle income I | €30,000 to €44,999 |
| Middle income II | €45,000 to €74,999 |
| High income I | €75,000 to €124,999 |
| High income II | €125,000 to €199,999 |
| High income III | €200,000 and above |
Israel
| Income Level | Range |
|---|---|
| Lower income I | מתחת ל-54,999₪ |
| Lower income II | בין 55,000₪ ל- 499,999₪ |
| Middle income I | בין 500,000₪ ל- 999,999₪ |
| Middle income II | בין 1,000,000₪ ל- 1,999,999₪ |
| High income I | בין 2,000,000₪ ל- 2,499,999₪ |
| High income II | בין 2,500,000₪ ל- 2,999,999₪ |
| High income III | 3,000,000₪ או מעל |
Italy
| Income Level | Range |
|---|---|
| Lower income I | Meno di €22,000 |
| Lower income II | Fra €22,000 e €43,999 |
| Middle income I | Fra €44,000 e €65,999 |
| Middle income II | Fra €66,000 e €87,999 |
| High income I | Fra €88,000 e €109,999 |
| High income II | Fra €110,000 e €131,999 |
| High income III | €132,000 e oltre |
Japan
| Income Level | Range |
|---|---|
| Lower income I | 280万円未満 |
| Lower income II | 280万～558万円未満 |
| Middle income I | 558万円～836万円未満 |
| Middle income II | 836万円～1115万円未満 |
| High income I | 1115万円～1394万円未満 |
| High income II | 1394万円～1673万円未満 |
| High income III | 1673万円以上 |
Kenya
| Income Level | Range |
|---|---|
| Lower income I | Under 200000 KES |
| Lower income II | 200000 KES-500000 KES |
| Middle income I | 500001 KES-800000 KES |
| Middle income II | 800001 KES-2000000 KES |
| High income I | 20000001 KES-4000000 KES |
| High income II | 4000001 KES-6000000 KES |
| High income III | 6000001 KES or more |
Korea
| Income Level | Range |
|---|---|
| Lower income I | ₩190,000,000 미만 |
| Lower income II | ₩190,000,000 ~ ₩349,999,999 |
| Middle income I | ₩349,999,999 ~ ₩499,999,999 |
| Middle income II | ₩500,000,000 ~ ₩649,999,999 |
| High income I | ₩650,000,000 ~ ₩899,999,999 |
| High income II | ₩900,000,000 ~ ₩1,120,000,000 |
| High income III | ₩1,120,000,000 以上 |
Latvia
| Income Level | Range |
|---|---|
| Lower income I | Zem €12,000 |
| Lower income II | €12,000 - €16,999 |
| Middle income I | €17,000 - €24,999 |
| Middle income II | €25,000 - €44,999 |
| High income I | €45,000 - €69,999 |
| High income II | €70,000 - €99,999 |
| High income III | €100,000 vai vairāk |
Lithuania
| Income Level | Range |
|---|---|
| Lower income I | < 3 600 € |
| Lower income II | Tarp 3 600 € ir 4 999 € |
| Middle income I | Tarp 5 000 € ir 9 999 € |
| Middle income II | Tarp 10 000 € ir 14 999 € |
| High income I | Tarp 15 000 € ir 19 999 € |
| High income II | Tarp 20 000 € ir 23 999 € |
| High income III | 24 000 € ar daugiau |
Malaysia
| Income Level | Range |
|---|---|
| Lower income I | MYR 0 - 15,000 |
| Lower income II | MYR 15,000 - MYR 29,999 |
| Middle income I | MYR 30,000 - MYR 44,999 |
| Middle income II | MYR 45,000 - MYR 74,999 |
| High income I | MYR 75,000 - MYR 124,999 |
| High income II | MYR 125,000 - MYR 199,999 |
| High income III | MYR 200,000 + |
Mexico
| Income Level | Range |
|---|---|
| Lower income I | 0 -180,000 Pesos |
| Lower income II | 180,000 - 359,999 Pesos |
| Middle income I | 360,000 – 539,999 Pesos |
| Middle income II | 540,000 - 899,999 Pesos |
| High income I | 900,000 - 1,499,999 Pesos |
| High income II | 1,500,000 - 2,399,999 Pesos |
| High income III | 2,400,000+ Pesos |
Netherlands
| Income Level | Range |
|---|---|
| Lower income I | minder dan €12 499 |
| Lower income II | Tussen 22 000€ en 43 500€ |
| Middle income I | Tussen 43 500€ en 65 500€ |
| Middle income II | Tussen 65 500€ en 87 500€ |
| High income I | Tussen 87 500€ en 109 000€ |
| High income II | Tussen 109 000€ en 131 000€ |
| High income III | 131 000€ of meer |
Nigeria
| Income Level | Range |
|---|---|
| Lower income I | Under 500000 NGN |
| Lower income II | 500001 NGN-3000000 NGN |
| Middle income I | 3000001 NGN-12000000 NGN |
| Middle income II | 12000001 NGN-28000000 NGN |
| High income I | 28000001 NGN-40000000 NGN |
| High income II | 40000001 NGN-50000000 NGN |
| High income III | 50000001 or more |
Norway
| Income Level | Range |
|---|---|
| Lower income I | Mindre enn 200 000 NOK |
| Lower income II | 200 000 – 299 999 NOK |
| Middle income I | 300 000 - 549 999 NOK |
| Middle income II | 550 000 - 799 999 NOK |
| High income I | 800 000 - 999 999 NOK |
| High income II | 1 000 000 - 1 199 999 NOK |
| High income III | Mer enn 1 200 000 NOK |
Pakistan (Pashto)
| Income Level | Range |
|---|---|
| Lower income I | له Rs 144 0000 څخه لږ |
| Lower income II | د Rs 1 444 000 او Rs 4 499 999 ترمنځ |
| Middle income I | د Rs 5 500 000 او Rs 9 999 999 ترمنځ |
| Middle income II | د Rs 10 000 000 او Rs 14 999 999 ترمنځ |
| High income I | د Rs 15000000 او Rs 19999999 ترمنځ |
| High income II | د Rs 20 000 000 او Rs 23 999 999 ترمنځ |
| High income III | له Rs 24 000 000 څخه لوړ |
Pakistan (Punjabi)
| Income Level | Range |
|---|---|
| Lower income I | 1 440 000 Rs ਤੋਂ ਘੱਟ |
| Lower income II | 1 440 000 Rs ਤੋਂ 4 499 999 Rs ਵਿਚਕਾਰ |
| Middle income I | 5 500 000 Rs 9 999 999 Rs ਵਿਚਕਾਰ |
| Middle income II | 10 000 000 Rs ਤੋਂ 14 999 999 Rs ਵਿਚਕਾਰ |
| High income I | 15 000 000 Rs ਤੋਂ 19 999 999 Rs ਵਿਚਕਾਰ |
| High income II | 20 000 000 Rs ਤੋਂ 23 999 999 Rs ਵਿਚਕਾਰ |
| High income III | 24 000 000 Rs ਜਾਂ ਇਸ ਤੋਂ ਵੱਧ |
Persia
| Income Level | Range |
|---|---|
| Lower income I | کمتر از ₪55,000 |
| Lower income II | بین ₪55,000 و ₪999,999 |
| Middle income I | بین ₪1,000,000 و ₪1,499,999 |
| Middle income II | بین ₪1,500,000 و ₪1,999,999 |
| High income I | بین ₪2,000,000 و ₪2,499,999 |
| High income II | بین ₪2,500,000 و ₪2,999,999 |
| High income III | 3,000,00₪ یا بیشتر |
Peru
| Income Level | Range |
|---|---|
| Lower income I | <20.000 PEN |
| Lower income II | 20.000 - 60.000 PEN |
| Middle income I | 60.000 - 90.000 PEN |
| Middle income II | 90.000 - 145.000 PEN |
| High income I | 145.000 - 225.000 PEN |
| High income II | 225.000 - 400.000 |
| High income III | >400.000 PΕΝ |
Philippines
| Income Level | Range |
|---|---|
| Lower income I | Mababa sa PHP 150,000 |
| Lower income II | Sa pagitan ng PHP 150,000 at PHP 299,999 |
| Middle income I | Sa pagitan ng PHP 300,000 at PHP 449,999 |
| Middle income II | Sa pagitan ng PHP 450,000 at PHP 749,999 |
| High income I | Sa pagitan ng PHP 750,000 at 1,249,999 |
| High income II | Sa pagitan ng PHP 1,250,000 at PHP 1,999,999 |
| High income III | PHP 2,000,000 o higit pa |
Poland
| Income Level | Range |
|---|---|
| Lower income I | 0 - 12000 PLN |
| Lower income II | 12001 - 24000 PLN |
| Middle income I | 24001 - 48000 PLN |
| Middle income II | 48001 - 72000 PLN |
| High income I | 72001 - 96000 PLN |
| High income II | 96001 - 120000 PLN |
| High income III | 120001 +Portugal |
Portugal
| Income Level | Range |
|---|---|
| Lower income I | Inferior a 20.000 € |
| Lower income II | Entre 20.000 € 39.999 € |
| Middle income I | Entre 40.000 € 64.999 € |
| Middle income II | Entre 65.000 € 84.999 € |
| High income I | Entre 85.000 € 104.999 € |
| High income II | Entre 105.000 € 124.999 € |
| High income III | 125 000 € ou mais |
Romania
| Income Level | Range |
|---|---|
| Lower income I | Sub 101.995 RON |
| Lower income II | Între 101.995 RON și 203.986 RON |
| Middle income I | Între 203.990 RON și 305.981 RON |
| Middle income II | Între 305.985 RON și 407.976 RON |
| High income I | Între 407.980 RON și 509.971 RON |
| High income II | Între 509.975 RON și 611.966 RON |
| High income III | Peste 611.970 RON |
Russia
| Income Level | Range |
|---|---|
| Lower income I | До 1.700.000 рублей |
| Lower income II | Между 1.700.000 и 3.999.999 рублей |
| Middle income I | Между 4.000.000 и 5.099.999 рублей |
| Middle income II | Между 5.100.000 и 6.799.999 рублей |
| High income I | Между 6.800.000 и 8.499.999 рублей |
| High income II | Между 8.500.000 и 10.199.999 рублей |
| High income III | От 10.200.000 рублей и более |
Saudi Arabia
| Income Level | Range |
|---|---|
| Lower income I | أقل من 36،000 ريال سعودي |
| Lower income II | بين 36،000 ريال سعودي و 83،999 ريال سعودي |
| Middle income I | بين 84،000 ريال سعودي و 119،999 ريال سعودي |
| Middle income II | بين 120،000 ريال سعودي و 179،999 ريال سعودي |
| High income I | بين 180،000 ريال سعودي و 239،999 ريال سعودي |
| High income II | بين 240،000 ريال سعودي و 299،999 ريال سعودي |
| High income III | 300،000 ريال سعودي أو أكثر |
Serbia
| Income Level | Range |
|---|---|
| Lower income I | Испод 2.500.000 RSD |
| Lower income II | Између 2.500.000 RSD и 5.000.000 RSD |
| Middle income I | Између 5.000.000 RSD и 7.500.000 RSD |
| Middle income II | Између 7.500.000 RSD и 10.000.000 RSD |
| High income I | Између 10.000.000 RSD и 12.500.000 RSD |
| High income II | Између 12.500.000 RSD и 15.000.000 RSD |
| High income III | 15.000.000 RSD или више |
Singapore
| Income Level | Range |
|---|---|
| Lower income I | Less than S$15,000 |
| Lower income II | S$15,000 to S$29,999 |
| Middle income I | S$30,000 to S$44,999 |
| Middle income II | S$45,000 to S$74,999 |
| High income I | S$75,000 to S$124,999 |
| High income II | S$125,000 to S$199,999 |
| High income III | S$200,000 and above |
Slovakia
| Income Level | Range |
|---|---|
| Lower income I | Menej ako 12 000€ |
| Lower income II | Medzi 12 000€ a 21 999€ |
| Middle income I | Medzi 22 000€ a 51 999 € |
| Middle income II | Medzi 52 000€ a 71 999€ |
| High income I | Medzi 72 000€ a 91 999€ |
| High income II | Medzi 92 000€ a 120 000€ |
| High income III | 120 000€ alebo viac |
Spain
| Income Level | Range |
|---|---|
| Lower income I | Menos de 22.000€ |
| Lower income II | Entre 22.000 € y 44.000€ |
| Middle income I | Entre 44.000€ y 65.999€ |
| Middle income II | Entre 66.000€ y 87.999€ |
| High income I | Entre 88.000€ y 109.999€ |
| High income II | Entre 110.000€ y 131.999€ |
| High income III | 132.000€ o más |
South Africa
| Income Level | Range |
|---|---|
| Lower income I | Less than R150,000 |
| Lower income II | R150,000 to R299,999 |
| Middle income I | R300,000 to R449,999 |
| Middle income II | R450,000 to R749,999 |
| High income I | R750,000 to R1,249,999 |
| High income II | R1,250 000 to R1,999,999 |
| High income III | R2,000,000 and above |
Sweden
| Income Level | Range |
|---|---|
| Lower income I | Under 225.000 SEK |
| Lower income II | Mellan 225.000 och 450.000 SEK |
| Middle income I | Mellan 450.000 och 675.000 SEK |
| Middle income II | Mellan 675.000 och 900.400 SEK |
| High income I | Mellan 900.400 och 1,125.000 SEK |
| High income II | Mellan 1,125.000 och 1,350.000 SEK |
| High income III | 1,350.000 SEK eller mer |
Switzerland
| Income Level | Range |
|---|---|
| Lower income I | Moins de 40 000 CHF |
| Lower income II | Entre 40 000 et 49 999 CHF |
| Middle income I | Entre 50 000 et 69 999 CHF |
| Middle income II | Entre 70 000 et 99 999 CHF |
| High income I | Entre 100 000 et 129 999 CHF |
| High income II | Entre 130 000 et 249 999 CHF |
| High income III | 250 000 CHF ou plus |
Taiwan
| Income Level | Range |
| Lower income I | NT$ 500000 以下 |
| Lower income II | NT$500001 to NT$899999 |
| Middle income I | NT$900000 to NT$1299999 |
| Middle income II | NT$1300000 to NT$1649999 |
| High income I | NT$1650000 to NT$1999999 |
| High income II | NT$2000000 to NT$4999999 |
| High income III | NT$5000000 以上 |
Thailand
| Income Level | Range |
| Lower income I | 239,999 บาท หรือต่ำกว่า |
| Lower income II | ระหว่าง 240,000 ถึง 479,999 บาท |
| Middle income I | ระหว่าง 480,000 ถึง 719,999 บาท |
| Middle income II | ระหว่าง 720,000 ถึง 959,999 บาท |
| High income I | ระหว่าง 960,000 ถึง 1,199,999 บาท |
| High income II | ระหว่าง 1,200,000 ถึง 1,799,999 บาท |
| High income III | 1,800,000 บาท ขึ้นไป |
Turkey
| Income Level | Range |
|---|---|
| Lower income I | 25.000₺ altı |
| Lower income II | 25.000₺ ile 49.999₺ arası |
| Middle income I | 50.000₺ ile 74.999₺ arası |
| Middle income II | 75.000₺ ile 99,999₺ arası |
| High income I | 100.000₺ ile 124.999₺ arası |
| High income II | 125.000₺ ile 149.999₺ arası |
| High income III | 150.000₺ ve üstü |
Ukraine
| Income Level | Range |
|---|---|
| Lower income I | Нижче ніж ₴120 000 |
| Lower income II | Між ₴120 000 та ₴199 999 |
| Middle income I | Між ₴200 000 та ₴499 999 |
| Middle income II | Між ₴500 000 та ₴999 999 |
| High income I | Між ₴1 000 000 та ₴2 999 999 |
| High income II | Між ₴3 000 000 та ₴3 599 999 |
| High income III | ₴3600000 та більше |
United Kingdom
| Income Level | Range |
|---|---|
| Lower income I | Under £15 000 |
| Lower income II | Between £15 000 and £29 999 |
| Middle income I | Between £30 000 and £44 999 |
| Middle income II | Between £45 000 and £74 999 |
| High income I | Between £75 000 and £124 999 |
| High income II | Between £125 000 and £199 999 |
| High income III | £200 000 or more |
United Arab Emirates
| Income Level | Range |
|---|---|
| Lower income I | أقل من 25,000 دولار أمريكي |
| Lower income II | بين 25,000 و 49,999 دولار أمريكي |
| Middle income I | بين 50,000 و 74,999 دولار أمريكي |
| Middle income II | بين 75,000 و 99,999 دولار أمريكي |
| High income I | بين 100,000 و 124,999 دولار أمريكي |
| High income II | بين 125,000 و 149,999 دولار أمريكي |
| High income III | 150,000 دولار أمريكي أو أكثر |
Uzbekistan
| Income Level | Range |
|---|---|
| Lower income I | $25,000 dan kam |
| Lower income II | $50,000 va $74,999 oʻrtasida |
| Middle income I | $50,000 va $74,999 oʻrtasida |
| Middle income II | $75,000 va $99,999 oʻrtasida |
| High income I | $100,000 oʻrtasida va $124,999 |
| High income II | $125,000 va $149,999 oʻrtasida |
| High income III | $150,000 yoki undan koʻproq |
Vietnam
| Income Level | Range |
|---|---|
| Lower income I | ít hơn 26 triệu đồng |
| Lower income II | từ 26 triệu đồng đến ít hơn 34 triệu đồng |
| Middle income I | từ 34 triệu đồng đến ít hơn 52 triệu đồng |
| Middle income II | từ 52 triệu đồng đến ít hơn 104 triệu đồng |
| High income I | từ 104 triệu đồng đến ít hơn 207 triệu đồng |
| High income II | ừ 207 triệu đồng đến ít hơn 462 triệu đồng |
| High income III | 462 triệu đồng/năm hoặc nhiều hơn |
Zambia
| Income Level | Range |
|---|---|
| Lower income I | Under ZMW 100,000 |
| Lower income II | Between ZMW 100,000 and ZMW 199,999 |
| Middle income I | Between ZMW 200,000 and ZMW 349,999 |
| Middle income II | Between ZMW 350,000 and ZMW 499,999 |
| High income I | Between ZMW 500,000 and ZMW 749,999 |
| High income II | Between ZMW 750,000 and ZMW 999,999 |
| High income III | ZMW 1,000,000 or more |
For more information about Pollfish, or to get more detailed info about your next survey, contact the Pollfish customer experience team today!
How to use BigQuery with Pollfish data
How to use BigQuery with Pollfish data
Pollfish’s massive audience means a potentially massive amount of data to be analyzed. For clients running higher-volume surveys, our Elite plan often works best, and now it includes the ability to integrate Pollfish data directly with Google’s BigQuery database for easier, faster data analysis.
What is BigQuery?
Bigquery is Google’s answer to cloud-based data storage. It’s especially beneficial to those looking to segment and analyze large quantities of data rapidly.
The “serverless” model saves on set-up costs associated with complete server systems as well as offers high-speed updates and more opportunities to integrate with existing BI tools. BigQuery also uses a columnar storage design that makes it easy to run SQL queries with their AI optimizing the datasets in nearly real-time.
There’s no question that this is a massive aid to researchers working with high volume datasets who can’t risk their information becoming outdated in the time that it takes to process it properly.
Benefits of integrating BigQuery with Pollfish
BigQuery is where researchers can store, segment, and analyze their data from anywhere, but where they pull that information from is a different story. The tool makes this easy by offering the ability to integrate with data collection and analytics tools like Tableau, Looker, Data Studio, and most recently— Pollfish!
The Pollfish <> BigQuery integration allows us to push all existing and future survey data from your Pollfish account to your Google BigQuery database in real-time, including the survey demographics, questionnaire content, respondent profiles, and actual responses.
The implementation includes a ready-to-use query view that can be instantly applied to easily view and segment your Pollfish data.
What this means is that our Elite clients who use BigQuery can connect their Pollfish data directly to their database.
How to connect BigQuery and Pollfish
Please note that you must have a billing account with BigQuery and be on an Elite plan with Pollfish in order to integrate. Click here to visit BigQuery pricing.
- Begin by logging into your Google Cloud Platform account, or creating one if you do not have one yet.
- Go to “Console” and create or select the project that you want to use.
- From the left navigation pane, select APIs & Services—> Credential
- Once the Credentials page is displayed, select the Create credentials tab and choose Service Account Key from the listed options.
- Add a name for the service account. In our example, the account is “pollfish-bigdata-exporter.”
- Assign the role BigQuery—>BigQuery Data Owner to the account.
- Click “Create” and the service account file will be created and downloaded to your computer.
- For the last step, log into Pollfish in order to set up the integration.
- Go to MyAccount-> Integrations
- Upload the service account file (JSON) that you downloaded from your account in Google Cloud Platform in step 7.
- Enter a Dataset Name (allowed characters are letters, numbers, and underscores.)
- Select if you want to export all historical data from all your surveys or the data from new surveys only.
Keep in mind that once you configure the integration you cannot edit it. However, you are able to delete it and create a new one from scratch if you need to make changes.
How to use Pollfish data in BigQuery
When your Pollfish surveys are exported, they will appear in seven BigQuery views: question, question_answer, respondent, result, result_scorepoint, scorepoint, and survey. Each view describes an element of the survey and the collected responses.
Note that these are de-duplicated views of the original tables that hold the data. They are shown with the same table names but start with an underscore. Do not use the tables as the tables may contain duplicates. Only use the views for your queries.
In addition, the data is generated in a single view (survey_view) showing a flat representation of the complete dataset. You may see the query that creates this view using the BigQuery UI, which may help you create your own queries in the tool of your preference, such as Tableau, Metabase, or others.
Below is a diagram showing the relationship between the entities of the exported database.
Pollfish<>BigQuery Integration FAQs
Some of the most frequently asked questions about setting up, troubleshooting, and integrating BigQuery with your Pollfish account can be found here. If you have additional questions or need assistance, feel free to reach out to support for more guidance.
- What will happen when I activate the BigQuery Sync?
- Can I get all my past surveys in BigQuery?
- Can I export a specific survey?
- What will happen if a survey is exported more than once?
- Can I see partial results of a survey currently in progress?
- I can't see the results of my survey in BigQuery.
- How are surveys stored in BigQuery?
- Where can I find all my surveys in BigQuery?
- What if I want to change my BigQuery service ID?
- Do I need to enable billing in BigQuery?
How do I get BigQuery on my Pollfish plan?
Pollfish only offers the BigQuery integration on Elite plan. Elite clients enjoy this feature at no additional cost, as well as a variety of other benefits tailored to high-volume client needs, such as additional seats for team members, lower CPIs, and dedicated account management.
To learn more about Pollfish service plans, visit our pricing page to compare options and choose the right fit for you. To upgrade your account to an Elite plan, contact sales@pollfish.com.
How to apply advanced skip logic with Pollfish (Video)
How to apply advanced skip logic with Pollfish
Advanced skip logic is a powerful feature that allows researchers to add layers to their questionnaire and go more in-depth with respondents who are the best fit for those questions.
New updates to advanced skip logic mean that instead of skipping a question or two, respondents can be directed towards a completely different sequence of questions within the same survey.
Standard questionnaire sequence
Before starting on skip logic, it's important to understand how it differs from a standard questionnaire. In a standard questionnaire, the respondent will complete all the questions asked in the order in which they are presented. If skip logic isn’t enabled, respondents will go through the regular sequence.
Skip Logic Sequence
Skip logic sequencing involves “branching”, which allows you to channel respondents towards different questions based on the responses they have already given. For example, if a respondent says that they have completed an action, you can allow them to skip a question that asks them to explain why they didn’t complete it.
We’ve recently augmented our skip logic, so it now features more advanced capabilities.
Advanced Skip Logic Sequence
Much like a standard skip logic sequence, advanced skip logic channels respondents into different questionnaire sequences based upon the answers they have already given. However, advanced skip logic offers multiple layers of branching to create a series of question paths that offer more in-depth data for researchers.
That is to say that with advanced skip logic, the system will automate respondents to jump onto a specific question based on their answer or answers (if it’s multiple-selection). The advanced skip logic iteration can be used on any question type.
As such, respondents will only be presented with questions according to what they’ve already selected, so as to not receive every question in the questionnaire or necessarily be aware of the complexities of the survey. Instead, they will only see the questions most relevant to them.
A question path is the sequence of questions a single respondent will take in a survey.
Advanced skip logic might look a bit intimidating, but is one of the most specialized and valuable features on the Pollfish platform.
Applying advanced skip logic on Pollfish
Applied logic involves the previous questions and answers used in the survey. You can also put combined logic into action, using any answer the respondent had already answered.
On the Pollfish platform, you can create this sequence yourself in your questionnaire builder. Log into your account and create or select the survey you wish to apply logic to.
When you’re ready to add your questions, you’ll see the ‘branching’ icon on the left that lets you toggle between your standard questionnaire and skip logic views. From there you can select which question the respondent will skip to based on their responses.
In skip logic view, you can add “rules” to questions on the left and preview the logic path on the right. Rules follow if/then logic, meaning that if one thing is chosen, another thing will occur. For example, IF a respondent chooses that they are “employed and working remotely”, THEN they will be fast-tracked to Question 6.
Like all surveys, it’s best to keep your research goals in mind when creating your questionnaire and to start in a document where you can easily edit your questions. Although you can always edit and reorder them in Pollfish, particularly large or complicated surveys (such as those using multi-layered skip logic) can be easier to visualize on paper first.
Max Questionnaire Path
With advanced skip logic applied, surveys can become quite long on the backend, but respondents won’t be presented with every question. In mobile surveys, long questionnaires are at risk of low completion rates due to boredom and frustration, so we limit the number of questions a single respondent can be presented with.
The Max Questionnaire path is the maximum number of questions a respondent could possibly be presented with if they were to choose all of the possible variants in a series of questions. As a mobile-first survey tool, we uphold the respondent experience by allowing no more than 50 questions in the Max Questionnaire path.
Advanced skip logic is now available on all question types, including for ranking and matrix questions. It cannot be applied when grouping and randomization is enabled.
If you still have questions, check out our video to get a walkthrough of this great feature, or if you have additional questions about using or implementing advanced skip logic, our 24/7 support team is always here to help out.
How to use Pollfish screening questions like a pro
How to use Pollfish screening questions like a pro
The best way to learn about Pollfish is straight from the pros of the Pollfish customer experience team—a team of real people available 24/7 to help clients get the most out of the platform.
Pollfish expert Jim Theodoropoulos answers some common questions about how to best use Pollfish screening questions for surveys. Check out his expertise in the interview below, and get tips for high-quality audience targeting.
Tell us a little about yourself.
I’ve been with Pollfish for around 2.5 years. The platform is very alive, every day is different. I’ve learned a lot since my first year—the way I communicate with the clients, the things I’ve learned have changed a lot. Now I know what kinds of problems they may have and I can anticipate those to avoid future problems.
What are some things to keep in mind when creating a screening question in general?
You should formulate screening questions for surveys by thinking about the words you will choose because, in a way, you’re playing with people’s minds. Consider how people will read and receive your content within the screening question. For example, people are biased towards a positive response, so “yes or no” answer options are not a good structure. It’s best to frame the question in a way where it is not clear what the “correct” response should be.
It’s really important to spend time setting it up correctly because, you know, this is your data. Even experienced researchers struggle with screening question design. They don’t realize that the design and the structure of the screening questions are like 80% of their survey’s performance.
What’s the first thing people should know about building a screening question on Pollfish? Is that different from other platforms?
The first step in Pollfish is to set up demographic targeting. The role of the screening question is to target even further at a more granular level, so it works in conjunction with Pollfish targeting, not instead of it. It’s very important to design it so that it works together to narrow in on the audience.
For example, if you wanted to target mothers who are also runners, you need to first select the female gender and the “number of children” filter to ensure that you’re targeting mothers. This builds a qualified audience to ask a behavioral question about running. Use the screening question to ask about exercise habits and ensure that the mothers are runners.
Many researchers are used to the traditional providers, so I don’t think they realize that they need to design their demographic targeting first to first get the best broad audience possible, then from there they can screen further.
What are some misuses or mistakes you’ve seen with screening questions? What happened?
A common mistake is when people try to do all of the targeting through the screening question, without using the filters. This sends the surveys to everyone, so there will be low incidence rates and a lot of data that isn’t usable.
Another common mistake is when people use a multiple-selection screening question and do not realize that if they let respondents select other choices that they will be screened in as well. They sometimes think that the multiple-selection is multiple users selecting an answer and not a user selecting multiple answers.
Wouldn’t a good screening question end up saving researchers money in the long run?
Yes. Some researchers might think that they are saving money by not using them because the screening questions cost a little more, but they will actually cost more if they don’t set them up properly. There will be no value in their collected data if they aren’t reaching the right audience.
For example, if you’re distributing a survey asking people about cars and you’re distributing it to people who don’t drive, there’s no value in that data and it’s not a good use of money because you’re paying for responses that you can’t use.
What do you think confuses people the most about screening question creation?
Letting the wrong people enter the survey, but also what I mentioned earlier—the yes or no screening question—many people think that the platform can detect when a respondent has lied on an answer. Our fraud prevention can remove patterns and many other behaviors, but it is best to write the answers in an unbiased way to make extra sure. This is why screening questions should contain answers that are ambiguous about what we would like the respondent to choose.
Do screening questions encourage more people to take surveys?
Not really. Screening questions focus on increasing the quality of the audience entering the survey, not the number of surveys they complete. It narrows targeting on who receives the questionnaire at the beginning.
What should people do with the “incidence rate” part of a screening question?
If a client knows the incidence rate of the screening question, then they should input it during this step. If they don’t know it, that’s not an issue. Many people do not know their screening question IR. It’s dependent on their experience researching the topic. For example, if you know that a medical condition is related to a specific percentage of people, like 2% of the US general population, then you can add the IR there. This feature helps us with a more accurate calculation of how long the survey will take, but is not required to use and won’t harm the data if the client doesn’t know it.
What question types are available for screening questions? Is one better than another?
Single and multiple-choice selection are the only two kinds available on Pollfish. One is not better than the other, they’re just better for different scenarios. For example, if you want to allow people familiar with only your brand to enter a survey, single-selection is best. If you want to include respondents who are familiar with your brand and several competitors, multiple-selection can allow that.
Is there a way to do any branching with the screening questions?
Not yet, but in general, every survey should be sent to a relevant audience. So if you have two different audiences, then you need to divide your survey instead of using branching and directing them to different questions.
Sometimes people try to do too many things at once with one survey and it creates confusion or issues segmenting at the end. It’s better to create more surveys that are clear than to force everything into one.
How do you help people who have multiple audiences that they need to screen?
Sometimes the screening question applies to two or more audiences, so what I do—and I don’t know about other people—but what I do is suggest dividing the survey, and then I also calculate the total cost to allocate it to the different surveys so they know how much each will cost. I’ll also help them figure out the total responses needed for each survey to maintain a statistical sample size for both surveys. That way they can stay within their budget, but also ensure the data has value to them.
How can you be sure you’ll have enough respondents if you use a screening question?
Because we are not a traditional sample provider, we cannot tell exactly the number of people who will be available and also a fit for a screening question. If someone is available to take a survey today, they may not be tomorrow. The network of real people means there are potential respondents everywhere, taking randomized surveys but at different times. We calculate the feasibility based on past users from the network.
What do you do if you don’t have enough? Like, in the event of a very targeted screening question?
We have screening questions for surveys come through about medical conditions that can be very specialized and the incidence rate is extremely low. If the IR is too low, the survey will be stopped automatically by the system. In such cases, we first try to see if we can expand something about the targeting to add more respondents. If nothing can be expanded, then we reimburse the credits back to the account and suggest that they restructure and launch another survey.
And you guys will work with them to help them restructure and launch that second survey to make it better?
We will advise and help them understand the best ways to restructure their survey, however, it is a DIY tool so there are some limits to how much we can do for them. But we now have a professional research service so they can hire someone to join their team and build the survey for them if it’s very complicated. The researcher can discuss their specific purpose for research, then structure the screening question to be very precise for that audience. They can always bring on a research expert if they need extra help.
What is the most creative/ funny/ weird screening question you have seen on Pollfish?
I have seen a lot of stuff during these years. We have to review every question for content, and sometimes they can be pretty funny. We’re careful with the content because sometimes the audience targeting is set for minors, and we want to make sure it's okay for them. I think the most interesting questions are the political ones.
What is one piece of advice or thing you would like people to know about Pollfish screening questions?
Make sure that “yes or no” questions are avoided and use screening questions with targeting, not as a separate part. They work together to narrow the results so the targeting should be set first.
Get more information on using screening questions to reach your target audience before launching your survey, or reach out to Jim and the rest of the Pollfish customer experience team any time to help with screening question FAQs.
Multilingual Surveys: Ask Consumers In Their Native Language
Multilingual Surveys: Ask Consumers In Their Native Language
How to create multilingual surveys
Part of targeting the right survey audience is making your survey respondents as comfortable as possible with clear, concise surveys in their native language.
To help you create multilingual surveys, the Pollfish platform has native support for multiple survey languages, including: English, Bulgarian, Chinese, Czech, Danish, Dutch, Filipino, Finnish, French, German, Greek, Hindi, Indonesian, Italian, Japanese, Polish, Portuguese, Portuguese (Brazil), Romanian, Russian, Serbian, Spanish, Swedish, Thai, Turkish and Vietnamese.
When you select a language from the "Survey Language" menu, the prompts presented to respondents will change to that language.
NOTE: Changing the survey language will not translate the question and answer text, only instructional text such as "make a selection."
At this time, there is no native support for automatic translation of questions or answer options. You will need to translate your questionnaire into the corresponding language prior to launch.
The questions and answers in your survey will be displayed exactly as you designed them, which you can confirm in your Survey Preview. We also recommend preparing for any translation needs once your survey is complete, as answers will be displayed in the language in which the respondent replies.
Unfortunately Pollfish does not offer translation services at this time, however a quick Google search can help you find a translation vendor, or you can use an online tool such as Google Translate. You will need to verify that your keyboard provides support for any special characters required and must be certain that the translations are not offensive or can be misinterpreted by the participant, as such tools do not account for all the nuances in multiple language translation. Many of our clients choose to work with outside translation services for questionnaire development and interpreting results.
Gathering instant insights with Pollfish
Gathering instant insights with Pollfish
Where in London makes the best coffee? What ice cream brand has the most flavors? Does this advert promote your brand well? Were Ross and Rachel really “on a break”? Sometimes you need instant insights and feedback. Maybe you have a report due later today and you want to add some data. Maybe you want to update menu items for a restaurant or test awareness of a sale at your clothing store. Online polls are a fantastic tool to use in order to get responses from your audience or customers any time, quickly and easily.
With Pollfish, get instant insights in just a few easy steps.
Choose your audience
We have a global network of millions of consumers ready to be accessed, but you can also narrow down your survey respondents through targeting and screening questions, so you can capture your ideal target audience.
Write your questions
We offer loads of different question formats in order to suit your question style. You can choose formats ranging from numerical to open ended and closed ended questions, and can even upload images and videos. Just remember to keep it light and fun—most mobile users respond better to short questions with tap answers and tend to zone out after 15 questions!
Have your survey reviewed by our 24/7 support team
Once you’ve completed your survey, and before it is released, our support team will go through it quickly to check that it is okay. We’ve done this before, so can often offer you suggestions so that you will get the best data possible. This service is available 24/7 to allow you to get your best survey out as quickly as possible.
Watch your results roll in!
Having made sure your survey is ready for launch, we will then deliver your survey out to our vast global network of mobile users. Since the average person checks their phone up to 150x a day, chances are you’re going to connect with your audience a lot sooner than on other platforms. This means that you can get results to your survey within hours.
Easy, right? Online polls can be used for all manner of things, from getting feedback on your business to finding out what’s the best movie on Netflix at the moment. We're here for you from start to finish—assisting with the creation, refining the delivery and collecting your survey responses.
Conducting academic survey research with Pollfish
Conducting academic survey research with Pollfish
To strengthen your thesis and make your conclusions more compelling, using extra evidence within your studies to back up your points is a valuable tool. Use an academic survey to provide added assurance that your hypothesis is correct and to emphasize the validity of your argument.
With question formats ranging from numerical to open-ended, Pollfish can provide you with all the resources that you need to get the right data for your research project. We can also survey people from all over the world so that you get a wide range of respondents, and with a global audience network of over 650M real people, you can get your results within hours—no need to panic about looming deadlines. Our added targeting and screening options can allow you to pinpoint those who will help your research the most, such as only surveying people who work in the medical profession if you are doing a study on medical practices.
Here are some ways to use Pollfish’s academic surveys within your studies:
- Before launching into an expensive and time-consuming project, do some pretesting to make sure that it will all run smoothly and that the results will be worth it. Renting the Hubble Space Telescope may seem like a brilliant research asset at the time but put out a survey to catch any errors with your method and research idea before contacting NASA. Online surveys can iron out any errors that may be at the base of your research, and figure out whether spending a lot of money will be worth it. If you deal with this early on, it will also save you time in the future. It can also allow you to see whether the population understands your research aims.
- When we send out your academic survey, you will have access to our huge global network of consumers. 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. This means you will get results ASAP, so your research will not be delayed. You will also be able to quickly make any needed alterations to move forward. This also means that the scope of people that you can reach will be more varied than if you just asked your friends and family for feedback.
Mobile surveys can be a great tool for academic researchers, as you can get results quickly from numerous and varied sources. With Pollfish, you can target specific personas and get results from people around the globe. It is easy to create a survey, and the results will come in quick, so nothing will hold you back from continuing your research.