Netquest Knowledge Base

Data is our base.
Find relevant information on market research
in this digital library of 100% genuine content.

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USE CASE:

COVID-19: How Digital Behavior Has Changed

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USE CASE:

Passion for Qatar 2022 World Cup

In a data-matching exercise, we've taken a deep dive into soccer fans in 6 different countries and discovered some jaw-dropping figures!

INFOGRAPHIC:

Hot Sale 2022 in Argentina seen with #NetquestData

Offers and discounts, two important dates for eCommerce in Argentina. We took on the task of comparing data between Cyber ​​Monday 2021 and HotSale 2022.

EBOOK:

Transform your insights with behavioral data

In this ebook you will find a guide to learn everything you need to become an expert in the world of behavioral data.

USE CASE:

Pandemic fit?: The use of fitness apps during and after confinement.

During confinement, in Mexico there were great changes in the lifestyle of the population; At Netquest we discovered that, during this time, fitness apps showed an increase in the number of downloads and we obtained interesting figures.

WEBINAR:

Mercado Libre: Optimizing a campaign with crossmedia data. Spanish report

What is better, investing in TV or Digital? On the radio or on Spotify? On YouTube or on social networks? Without the proper tool, it was difficult to draw such conclusions.

USE CASE:

The Major Streaming Platforms in 2021

After the pandemic, due to the lockdowns and new lifestyles that began to be adopted, consumption habits underwent major changes. So, we took on the task of analyzing which streaming platforms were the favorites in Argentina and Portugal during 2021.

RESEARCH:

How the form of asking respondents’ three preferred brands changes the results

In this note we investigate the impact of asking in different ways to select the three preferred brands out of a list.

RESEARCH:

What are the Links in a Web Survey Among Response Time, Quality, and Auto-Evaluation of the Efforts Done?

When web surveys are used, it seems even more crucial since the researchers have less control on the data collection process. However, they also have the possibility to collect some paradata that may help evaluating the quality. Using this paradata, it was noticed that some respondents of web panels are spending much less time than expected to complete the surveys.

RESEARCH:

Effect of using different labels for the scales in a web survey.

Surveys mainly use questions in which it is allowed to answer only through a closed series of alternatives. The choice of labels for these closed alternatives is an important decision. Depending on this choice, different results can be found. This paper focuses on the impact of using low versus high frequencies or durations scales.

RESEARCH:

Can a non-probabilistic online panel achieve question quality similar to that of the European Social Survey?

Most online panels select their members in a non probability-based way. They usually also send many more surveys per month to their panellists. Both together can generate professional respondents whose quality of answers may be different.

RESEARCH:

Smartphones vs PCs: Does the Device Affect the Web Survey Experience and the Measurement Error for Sensitive Topics? A Replication of the Mavletova & Couper’s 2013 Experiment

An opt-in panel for Spain, involving 1,800 panellists and comparing PCs and smartphones.

RESEARCH:

An experiment comparing grids and item-by- item formats in web surveys completed through PCs and smartphones.

This paper reports the results of a two-wave experiment conducted in Spain in 2015, comparing three groups: PCs, smartphones not-optimized, or smartphones optimized.

RESEARCH:

Impact of raising awareness of respondents on the measurement quality in a web survey

This paper shows the results of two experiments conducted with the online fieldwork provider Netquest, that try to reduce the speeding behaviours and get a better quality of answers by raising awareness among the respondents about the importance of completing a survey thoughtfully.

RESEARCH:

Open narrative questions in PC and smartphones: is the device playing a role?

This paper compares the answers to open narrative questions when the respondent is participating in a PC survey, in a smartphone-not-optimised survey or in a smartphone-optimised survey.

RESEARCH:

Using Passive Data From a Meter to Complement Survey Data in Order to Study Online Behavior

This article shows that the data from the web survey and the meter lead to very different results about the online behavior of the same sample of respondents, showing the need to combine several sources of data collection in the future.

RESEARCH:

Do online access panels need to adapt surveys for mobile devices?

This paper evaluates the tolerance of participants when specifically asked to use mobile devices and carry out other specific tasks, such as taking photographs.

RESEARCH:

Who Has Access to Mobile Devices in an Online Opt-in Panel? An Analysis of Potential Respondents for Mobile Surveys

Opportunities and challenges of mobile research methodologies.

RESEARCH:

Analyzing survey characteristics, participation, and evaluation across 186 surveys in an online opt-in panel in Spain

We give an overview of the present situation in opt-in online panels, in terms of survey characteristics, participation, and evaluation.

RESEARCH:

More Realism in Conjoint Analysis: The Effect of Textual Noise and Visual Style

The main goal of this research is to study the impact on the answers and data quality of making conjoint questions more realistic by introducing some randomised noise into the descriptions of the conjoint levels or by simulating the way an e-commerce website displays products.

RESEARCH:

Ideal and Maximum Length for a Web Survey

This paper aims to discover 'How long can/should a survey be?' by asking the question to respondents themselves in a web survey implemented by Netquest in Mexico in 2016.

RESEARCH:

Making use of Internet interactivity to propose a dynamic presentation of web questionnaires

In order to obtain from respondents the necessary effort to provide high quality data, we propose to help respondents focusing on the tasks one at the time by using a dynamic presentation of web questionnaires combined with a timing control.

RESEARCH:

Are There Differences Depending on the Device Used to Complete a Web Survey (PC or Smartphone) for Order-by- click Questions?

This article focuses on the order-by-click scales, studying the comparability of the data obtained for this scale when answered through PCs versus smartphones.

RESEARCH:

Comparing Grids With Vertical and Horizontal Item-by- Item Formats for PCs and Smartphones

We examined several outcomes for three sets of questions, which are related to respondent behavior (completion time, lost focus, answer changes, and screen orientation) and data quality (item missing data, nonsubstantive responses, instructional manipulation check failure, and nondifferentiation).

RESEARCH:

Willingness of online panelists to perform additional tasks

We use data from a survey implemented in 2016 in Spain, in which around 1,400 panelists of the Netquest online access panel were asked about their hypothetical willingness to share different types of data.

RESEARCH:

Alternative methods for selecting web survey samples

This article investigates different ways to select a sample in an opt-in panel: without previous information, using profiling information, or using passive data from a tracker installed on the panelists’ devices.

RESEARCH:

Comparing the Performance of Agree/Disagree and Item-Specific Questions across PCs and Smartphones

In this study, implemented in the Netquest panel in Spain, we investigated the cognitive effort and response quality associated with A/D and IS questions across PCs and smartphones.

WEBINAR:

Measuring online impacts using behavioral data

Julia Jenks, Vice President, Worldwide Research & Analysis, Motion Picture Association and Ben Boix, Managing Director US & Canada, Netquest share a case study in how to use behavioural data.

WEBINAR:

The post-COVID eCommerce Scenario in Spain

Learn about an analysis of the situation of E-commerce in Spain post COVID using Netrica data from Netquest.

INFOGRAPHIC:

5 Characteristics to Look For in a High-Quality Data Provider

Currently, technological innovation has allowed great advances in the industry that, together with a good data provider, will allow you to have access to real and quality data.

INFOGRAPHIC:

US Hispanics Panel

Understand the US Hispanic consumer base.

INFOGRAPHIC:

Netquest at a glance

Base your insights on genuine data. Read this infographic and get to know us.

INFOGRAPHIC:

A Symphony of Data

Orchestrating data combinations to give you a 360° view. of the consumer

USE CASE:

Understanding the Online Shopper in Spain Through Their Use of Social Media

Use Case: Understanding the Online Shopper in Spain Through Their Use of Social Media to know what products are social media users in Spain purchasing.

USE CASE:

Understanding the Online Shopper in Brazil Through Their Use of Social Media

Use Case: Understanding the Online Shopper in Brazil Through Their Use of Social Media to know what products are social media users in Brazil purchasing.

USE CASE:

Online Shoppers’ Experience in 2021 vs 2020

We've created an opinion survey use case to learn about the primary drivers of e-commerce.

USE CASE:

Brands in Soccer: the playing field also matters

Use Case: Brands in Soccer: the playing field also matters. We've created a data combination use case to prove that the soccer audiences are not all the same.

USE CASE:

“Squid Game”: Green Light on Audience Numbers

Case Study "The Squid Game" in which we measure its audience with our digital behavior panel and Fluzo's ACR technology.

USE CASE:

Segmenting the US Online E-Shopper

Discover how passive metering technology in combination with traditional surveys can help you segment and target your online audience.

USE CASE:

Measuring the Reach of Social Media during the Copa América

Download the use case and discover how the Copa América final match was experienced in social media, and how the event influenced these platforms' reach.

USE CASE:

Use Case Competitor Metrics and Consumer Journeys

Behavioral data can uncover online metrics about your consumers and give you a clear eye view of consumer journeys like never before! Read the use case today.

USE CASE:

Top Apps in the United States

App popularity depends on the device: Find out the top ten apps on iOS, Android, and Tablet users based on behavioral data.

RESEARCH:

Answering mobile surveys with images: an exploration using a computer vision API

The main goal of this article is to investigate the viability of asking respondents of an online opt-in panel to upload during a mobile web survey: First, a photo taken in the moment, and second, an image already saved on their smartphone.

RESEARCH:

To what extent are members of an online panel willing to share different data types? A conjoint experiment

In this study, we used a choice-based conjoint analysis in order to study the level of willingness depending on the incentives offered in exchange, and we present the level of willingness by gender and age groups.

RESEARCH:

Modeling the effect of quota sampling on online fieldwork efficiency: An analysis of the connection between uncertainty and sample usage

This article analyzes how different features of a quota sample (such as the sample size, number, and types of quotas) impact the number of participants that must be discarded during the data collection (fieldwork efficiency).

RESEARCH:

Testing the Use of Voice Input in a Smartphone Web Survey

We implemented an experiment within a smartphone web survey to explore the feasibility of using voice input (VI) options.

RESEARCH:

Do Millennials differ in terms of survey participation?

Using a dataset of 1,570,301 panelists of an opt-in online panel in eight countries from Europe, Latin America, and North America, we show that Millennials differ from older cohorts in terms of survey participation.

TOOL:

Statistical calculators

Make common statistical calculations in a simple way and calculate the sample size you need and the significant difference.

USE CASE:

The post COVID E-commerce Scenario in Spain

After surpassing the peak of COVID-19 infections in Spain, at Netquest we were curious to know what were the effects of the COVID-19 pandemic on e-commerce. Read this use case developed with Netrica data.

INFOGRAPHIC:

ABC’s of Online Focus Groups

A visual guide with everything you need to know to migrate your focus groups to the digital ecosystem, including recommendations on how to use this methodology for your qualitative studies.

EBOOK:

How to Successfully Conduct Online Research in Latin America

All you need to know to collect online data in Latin America. In this ebook you will find tips to avoid critical mistakes, improve data quality and save money.

USE CASE:

Uncovering the Online Competition with Behavioral Data

A client in the travel industry was interested in what were consumers doing beyond their website. By using behavioral data, our client was able to see how consumers interact with major competitors online.

USE CASE:

Converting Consumers to Buy Online in the Alcohol Industry

Find out how Pernod Ricard increased their e-commerce sales. This data combination use case allowed understanding the online behavior and the path to purchase of their consumers.

USE CASE:

Do Personal Care Consumers Lack Brand Loyalty?

In this use case we uncover the unique online behavior of personal care consumers. GfK wanted to understand how online browsing affects the path to purchase in the personal care industry.

USE CASE:

What Amazon Weaknesses Can Brands and E-Tailers Leverage?

A data combination use case, conducted with Netquest Panel in the United States and in partnership with Colourtext. The study aimed to reveal how Amazon users truly shop online.

USE CASE:

How Do Modern Families Buy Toys for the Holidays?

We combined opinion data and online behavioral data to discover the path to purchase of buying toys online. Read this use case and find out what’s the most wanted gift for kids.

USE CASE:

Getting the full picture: Understanding Brazilian mom’s online behavior

Find out what recently pregnant and/or first time moms look for when they navigate online. A data combination study requested by a worldwide diaper manufacturer, and conducted to our panel in Brazil.

USE CASE:

E-commerce sales on Fast Moving Consumer Goods

The results of the innovative research we conducted together with the Spanish business association AECOC to learn more about online (e-commerce) sales of fast moving consumer goods (FMCG).

INFOGRAPHIC:

What to look for in behavioral data

Behavioral data has been changing the industry as we know it. In this infographic discover what you have to know to join the future of market research.

INFOGRAPHIC:

The 7 Step Checklist to Master Data Quality

A visual guide with useful tips for working with quality data. Ensuring high quality data is a responsibility of utmost importance for market research professionals.

INFOGRAPHIC:

9 Myths of Online Research

We listed the most frequent doubts about online research in this infographic. Check out how we break 9 myths that you surely have heard before.

WHITEPAPER:

Who is who with Behavioral Data?

Separating data from several individuals sharing one single browsing device is a challenge. This paper explores a new method for dividing this passive (behavioral) data.

WHITEPAPER:

Designing products with the help of conjoint analysis

Learn how you can design a Conjoint study. This material explains, among other things, when you can use this methodology and what items you should consider.

WHITEPAPER:

10 facts about ISO Standard 26362

A brief explanation of the ISO 26362. This standard establishes the evaluation (and quality) criteria for both online access panels providers and the panels themselves.

USE CASE:

Food delivery apps: What’s their reach?

An internal research, combining behavioral and profiling data, to discover the most popular delivery apps among users. Download this use case and also access the ranking by app’s reach.

USE CASE:

COVID-19: How Digital Behavior Has Changed

The changes caused by the COVID-19 outbreak were sudden. We monitored searches and online platforms usage to find out how people's digital behavior was modified.

USE CASE:

Which are the most used Social Media Apps?

In this use case we combined behavioral and profiling data to know more about how social media apps were used. Download the use case and find out at what hours these apps reach increased the most.

USE CASE:

Innovative ways of measuring media exposure with audio-matching

Learn how the Spanish public TV channel RTVE measured the media exposure of their audience using audio-matching, the latest innovation to help you understand new consumption patterns.

USE CASE:

Converting Consumers to Buy Online in the Alcohol Industry

Find out how Pernod Ricard increased their e-commerce sales. This data combination use case allowed understanding the online behavior and the path to purchase of their consumers.

USE CASE:

The most common profiles of Netflix’s users in US, Uk and Spain

In this use case, we used behavioral data from Netquest’s panelists who visited Netflix.com or used the app, and segmented them according to their frequency of visit.

EBOOK:

The New Types of Data for Market Research

The ebook offers a complete picture of the types of data for market research. It includes what are the most innovative ways for gathering information.

EBOOK:

Visualizate It!

An illustrated content material that will take you through the A-Z of data visualization. An intensive course to create and analyze interactive market research reports.

EBOOK:

The Essentials of Online Data Collection

This ebook explains in a simple, brief and direct way, how online data collection works. It answers, among other things, what’s the difference between traditional and online research.

EBOOK:

Behavioral Data 101

A complete guide to the new world of behavioral research. With this ebook, discover how to start incorporating observed data into your research projects.

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