Tag Archives: package test

Donuts delivered and popcorn procured: What does a fieldwork company think about food delivery services?

Posted on Wednesday July 11th, 2018 by CanView Team

There’s nothing new about food delivery. We’ve been ordering pizza delivered to our front doors for decades and it usually arrives pretty hot within 40 minutes or so, depending on whether you’ve got 1 inch or 3 meters of snow … Continue reading →

Posted in Market Research | Tagged apps, Cineplex, data collection, DoorDash, fieldwork, Foodora, home delivery, IHUT, Just-Eat, package test, packaging, sensory test, Skip the Dishes, Tim Horton’s, Uber Eats | Comments Off

Market Research Mythbusters: Research reports aren’t useful!

Posted on Wednesday June 20th, 2018 by CanView Team

When you’ve invested thousands of dollars into a research study, the report should be useful and actionable, one that is regularly studied and referred to. And, if there is a paper version, dog-eared and bookmarked, and weathered with love. With … Continue reading →

Posted in Market Research | Tagged analysis, concept test, customer, data collection, EyeHome™, fieldwork, package test, qualitative, reporting, social observation | Comments Off

Conducting research is easy… if you understand hundreds of cognitive biases!

Posted on Thursday June 14th, 2018 by CanView Team

If you’re equipped with excellent written or interpersonal communication skills, conducting research is easy. You identify hypotheses, develop questions or discussion guides to address them, and you’re done! Except you’re not done.People come prewired with literally hundreds of cognitive biases … Continue reading →

Posted in Market Research | Tagged ad test, analysis, cognitive bias, concept test, customer, data collection, fieldwork, focus group, in-depth interview, interview, mall intercept, moderator, package test, sensory test | Comments Off

Can market researchers ditch the p-value?

Posted on Monday May 28th, 2018 by CanView Team

Among quantitative researchers, p-values are a much desired yet disputed topic. P-values help us by identifying the likelihood that two (or more) numbers in our research results would be different by chance, thereby allowing us to identify which products and … Continue reading →

Posted in Market Research | Tagged analysis, data collection, effect sizes, fieldwork, LOI, p-values, package test, panel, panelist, quantitative, reporting | Comments Off

What are the different types of marketing segmentation?

Posted on Tuesday May 22nd, 2018 by CanView Team

In the marketing world, segmentation research involves identifying subgroups of people within a larger population so that each subgroup has similar needs or desires. Understanding the various segments of people within a product or service category allows marketers to design … Continue reading →

Posted in Market Research | Tagged data collection, fieldwork, LOI, package test, panel, panelist, quantitative, recruitment, reporting, sample, segmentation | Comments Off

Correlation vs Causation and the Battle for Relevant Brand Research Conclusions

Posted on Monday April 30th, 2018 by CanView Team

The difference between correlation and causation seems fairly straightforward. Correlation means there is some kind of relationship between the variables but it’s impossible to determine if one is the root cause of the other. Causation means there is a predictable … Continue reading →

Posted in Market Research | Tagged ad test, analysis, causation, concept test, correlation, data collection, Datasaursm, fieldwork, package test, quantitative, sample, sensory test, Spurious Correlations, taste test, Tyler Vigen | Comments Off

What are the key features of a perfect package test?

Posted on Tuesday March 20th, 2018 by CanView Team

Creating effective packaging to display products on a shelf is not as simple as stuffing a few handfuls of macaroni into a plastic bag or a box. A great package is functional, accessible, attractive, unique in its own right, and … Continue reading →

Posted in Market Research | Tagged concept test, customer, data collection, EyeHome™, facial coding, FACS, fieldwork, focus group, IDI, IHUT, in-depth interview, package test, packaging, qualitative, quantitative | Comments Off

When to use a probability versus a nonprobability sample

Posted on Thursday March 15th, 2018 by CanView Team

There are two main types of samples and researchers are regularly at odds with each other over which one is better. In reality, neither is better. Each one is better suited for some needs and less so for other needs. … Continue reading →

Posted in Market Research | Tagged CATI, central location, concept test, data collection, demographics, EyeHome™, facial coding, fieldwork, IHUT, in-depth interview, mall intercept, package test, panel, sample, sensory test, taste test | Comments Off

From field to lab to virtual research methods: How to choose the right degree of external validity for your product shelf-test

Posted on Friday March 9th, 2018 by CanView Team

Consumers don’t usually consciously think about their process of picking an item off the store shelf but market researchers do. Shelf-tests help researchers better understand that process, particularly when the consumer decision seems arbitrary or illogical. This type of research … Continue reading →

Posted in Market Research | Tagged central location, data collection, facial coding, fieldwork, mall intercept, on-site, package test, packaging, recruitment, technology | Comments Off

Cannabis in Canada: Planning a wise communication strategy

Posted on Monday January 29th, 2018 by CanView Team

Cannabis is just a few months away from being legal for recreational use in Canada which means companies and brands will soon have to consider how it might interact with their current line of products and services.Would incorporating cannabis be … Continue reading →

Posted in Market Research | Tagged cannabis, concept test, customer, data collection, fieldwork, focus group, in-depth interview, mary jane, package test, packaging, recruitment, weed | Comments Off

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