QUANTITATIVE RESEARCH

Consultancy in terms of:

  • Survey & Questionnaire Design
  • Central Location Tests (CLT)
  • Home Use Tests (HUT)
  • Benchmarking (Product Optimisation)
  • Names of taste in quantitative test
  • TURF analysis
  • Online Eye + Facial Tracking – innovative quant research method

 

CENTRAL LOCATION TESTS (CLT)

Central Location Test (CLT) is one of the quantitative research methodologies. Qualified respondents are normally centralized in a certain place for example in a location such as a room in a shopping mall to take face-to-face interviews. This type of setup is used for studies requiring extensive stimulus material to be shown and tested in standard conditions. Before conducting the interview, interviewers are well-trained by research staff to increase their interview skills and to avoid influence on the respondents’ ideas during the interview process. As the interview is conducted in a certain place, it is easier to manage whole process of the interview as well as dealing with unexpected situations.

CLT is assessed as the most suitable method for testing concepts, products, packaging, advertising effectiveness as well as conducting sensory research.

HOME USE TESTS (HUT)

Home Use Test (HUT) is one of the quantitative research methodologies. HUT is a cost effective way to test product with real consumers before moving forward to the product launch. This methodology involves sending new products or trial products to the respondents’ home, having them actually use the product, and obtaining their evaluation of it. The feedback or comments from consumers for new product are collected during in-person interview, telephone surveys or online surveys. This methods helps to gain feedback on prototypes’ options in a home use environment where preparation is key to product performance.

BENCHMARKING (PRODUCT OPTIMISATION)

Benchmarking and comparison testing is the method that helps to assess how specific product performs in the market vs competitors. It is essential that every company desires to distinguish from competition. This research is usually undertaken in standardised consumer benchmarking booths, at home or at hall tests. Benchmark testing allows to assess how specific product performs against its competition in a number of areas including functionality, durability, quality, etc. It helps to challenge company own practices, to understand how much to invest in product development or to check if products have substantiate marketing claims. Testing data will also allow to make informed decisions on price points, product design and can help shape performance claims.

Benchmarking and comparison testing can consist for example from such a combination of the following testing components:

  • Evaluation of Product Features (overall opinion, appearance , flavour, texture, aroma, aftertaste)
  • Evaluation of Product’s Overall Performance
  • Evaluation of Product’s Durability, Construction
  • Independent Verification of Product Performance Claims
  • Evaluation of Product Packaging and Labelling
  • Evaluation of Product’s Physical Characteristics
  • Evaluation of Product’s Ease of Use

NAMES OF TASTE IN QUANTITATIVE TEST 

This study is conducted as a concept test or a separate block in the Omnibus study.

This study helps to find answers to the questions: ·

  • Which name of taste to the greatest extent encourages the purchase?·
  • Which name of taste the best communicates selected features of product or branding?

The study result is a ranking of names tested.

TURF ANALYSIS 

‘TURF Analysis’ is an analytical technique used to determine the optimal size and composition of the product line (in this case the number of products and their tastes).

‘TURF Analysis’ is used to compose the optimal line – such as in its composition as many respondents as possible will find at least one product for themselves.

This study usually test a few, sometimes more than a dozen products tested in-hall or in-home for a sample of at least 300 respondents.

This study helps to find answers to the questions:

  • How many and about which  new tastes expand the portfolio to maximize its coverage?
  • Is it worth to launch all new tastes? If so, in what order?

This study gives the opportunity to indicate not a set of products that are evaluated on average (perhaps permanently by the same consumers), but those that provide the greatest ‘cover’ of the market (reach) and the information which combination of tastes give a good and which only average range.

ONLINE EYE + FACIAL TRACKING – INNOVATIVE QUANT RESEARCH METHOD

This is one of  the most advanced quantitative digital testing platform that includes eye tracking, facial coding and dynamic browsing.

Respondents are recruited remotely and they receive a list of tasks to be completed (e.g. look at 10 different packaging propositions) on their own computer. During the test their facial expressions and eyes via their webcam are tracked, their screen is taped and their mouse behavior is recorded. The test enables to discover:

•    Completion rate: How many users are able to complete the task? How fast?
•    Navigation: How do people navigate during the tasks? Where do you lose them?
•    Eye tracking: Are the key elements visible?
•    Facial coding: Are people frustrated?

This is a very good and fast method to check your product:

In-store Insights:

  • Packaging Studies
  • Shelf Studies
  • POS Material
  • Virtual Reality

But as well can be used in:

Online  Insights:

  • Online Ads
  • Web Pages
  • Social Media
  • Newsletter
  • Emails

MarComms Insights:

  • Outdoor Ads
  • Print Ads
  • TV commercial
  • Direct Marketing
  • Movie Trailers
  • Product placement