News, updates, articles on conjoint analysis

Discover the products of Conjoint.ly

Posted on 17 April 2019

See the different products of Conjoint.ly in action by watching this demonstration video. Read More


How to do segmentation

Posted on 30 October 2018

Conjoint.ly allows you to apply segmentation to any kind of report. The report can be split by different types of variables:

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Dual negative-positive scale

Posted on 30 October 2018

Respondents in different countries use survey scales differently. Academics have identified several country-specific peculiarities. Key among them is the degree of “acquiescence bias”, i.e., the extent to which respondents are biased to agree with the presented statement. For example, for a very comparable product, audience, and real market performance of a product, in China a Likert scale result may be 4.5 (on a scale of 1 to 5), while in Argentina it will be 3.5.

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Methodology behind Claims Test

Posted on 24 September 2018

This week we are releasing our new Claims Test tool, which can help you test different product claims and messages. It may be a new tool, but the methodology behind it is based on a proven choice-based technique and was refined through multiple projects for FMCG brands. In this post, we detail how the method works and why it’s better than a simple MaxDiff or an array of rating scale questions. Specifically we look into:

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Conjoint.ly webinar about automated research services

Posted on 26 August 2018

In this webinar, Ray Poynter interviews Conjoint.ly’s founder Nik Samoylov about automated tools for product and pricing research. Conjoint.ly is both a research firm and an automation provider, which means that the tools are tested in full-service projects, particularly in the FMCG and technology industries. In the webinar you will learn how you can access:

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Introducing video response option

Posted on 20 August 2018

Conjoint.ly is working on new video and audio response options, which allow you to add an option for respondents to voice their opinion about a product through a webcam recording.

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Gabor-Granger or Van Westendorp?

Posted on 3 June 2018

With so many pricing research methodologies out there, how do you know which is the right one for you?

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Finding optimal employee benefit package through trade-offs

Posted on 24 July 2017

UMDF (the name and findings are disguised) is a major accounting and consulting firm operating across 70+ countries. In Australia, every year the firm hires roughly a hundred university graduates for entry-level accountancy positions across its three offices in Melbourne, Canberra, and Sydney. The firm is keen on employing and developing newly minted graduates who can quickly start adding value to the company and who provide leverage to the more experienced and therefore costlier employees.

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Pricing a new course for Malaysian university through conjoint analysis

Posted on 20 April 2017

Kitzpatrick University is operating in the competitive educational market in Malaysia, where dozens of providers offer an abundance of courses and programs at various levels. Kitzpatrick, building upon its strong position in the field of chemical engineering and connections with key players in the petroleum industry, is considering opening a new Bachelor of Science in Chemical Engineering program, which will feature industry placements.

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Announcing collaboration with Call For Participants

Posted on 17 February 2017

Conjoint.ly announces collaboration with Call For Participants, an online service for recruiting study participants. CFP helps academic and industry researchers to easily advertise experiments, surveys, interviews, and other studies to thousands of potential participants around the world for free.

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Beta version is coming out next week

Posted on 29 September 2016

Conjoint analysis has been around for a fairly long time, it is widely used in marketing research, and is taught at almost every marketing course. Yet, when it comes to implementing it in practice, there is a surprising lack of available tools that can help you do that. We found that the big websites like SurveyMonkey and Qualtrics do not quite let you do it easily.

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Why use conjoint analysis

Posted on 29 August 2016, updated on 30 December 2016

Do you know what your customers value the most (and least) about your product? With conjoint analysis, you can. Uncovering customers’ preferences provides valuable information to guide decisions about new products, marketing strategy, advertising and promotion to increase sales.

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