Market Research – Demoskopea

Demoskopea is able to realize all main types of market research, qualitative and quantitative, both in the domestic and international markets, as well:

Customer Satisfaction
Communication and packaging analysis
Opinion polls
Omnibus research (CATI e CAWI)
Observatory of consumption and opinions

Exclusive models

In addition to classical methods, Demoskopea has designed and refined over time exclusive research techniques and specific products in the following areas:

ADVERTISING

AdVision: model that measures the effectiveness of an advertising campaign on these sizes: Impact and Persuasion.

Game Plan: it identifies the contribution made by each media for the memory-building in an increasingly fragmented advertising market.

CUSTOMER EXPERIENCE

Camelot: it brings elements like ethic and emotion in the costumer experience evaluation. Its assumption is that every human decision comes from the eternal struggle between heart and reason.

IDENTIFICATION OF INSIGHTS

Factory Rooms: a qualitative path that combines three methodological steps: ethnographic, individual and focus group.

PERCEIVED QUALITY

Management: the product or service performance is measured according to expectations that the costumer had set.

PACKAGING/ CONCEPT/ ADVERTISING

Combined: the only method which is able to combine qualitative and quantitative research.

Q-AI-D Platform: Qualitative Artificial Intelligence Demoskopea: it use Artificial Intelligence for qualitative research methodology

Statistical methods

Most of market surveys, especially the quantitative ones, are able to collect a large number of interesting data: with the goal of getting useful informations and reports understandable for companies, statistical methods are used in order to analyze and study the data collected during the surveys.

These are the main techniques we generally use:
1. Regression analysis: Regression analysis is used to examine and understand the relationship between a dependent variable and one or more independent variables.
2. Factor analysis: Factor analysis helps to identify the underlying factors or dimensions inside a dataset. It is a technique that allows to point out the existence of a latent traits structure or dimensions which are not directly measurable.
3. Cluster analysis: Cluster analysis is a technique used to bring together objects or similar individuals according to their characteristics. This helps the researchers to identify groups of customers with similar preferences or behavior.
4. Conjoint analysis: Conjoint analysis is a technique used to understand how consumers make trade-offs between different product attributes. It helps researchers to establish the relative importance of several attributes and to maximize the product design or pricing strategy.

Observatory

Demoskopea pays always attention to social changes and for this purpose has activated an Observatory of Consumption and Opinion trends, to check, control and compare social and consumption facts evolution. That is thanks to the opinion of two main reference targets:

PRIVILEGED WITNESSES

University teachers
Opinion Leader
Marketers
Buyers
Strategic planners
Journalists

LARGER PUBLIC

Consumers
Clients
Citizens

PRIVILEGED WITNESSES

University teachers
Opinion Leader
Marketers
Buyers
Strategic planners
Journalists

LARGER PUBLIC

Consumers
Clients
Citizens

with the aim of better understanding, predicting, and anticipating current market and opinion trends, and providing solid and reliable contributions to all individual research activities of the institute.