Product Concept Test

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The Product Concept Test will evaluate the acceptance of an idea or product regardless of its current phase of iteration. You'll get actionable insights corresponding to the level of depth you select for the study: exploratory, intermediate, or detailed. It's ideal for not just evaluating if what you have in mind satisfies the needs of consumers, but for detecting the main draws of a product/ its packaging, and measuring its potential against the competition.

Why choose it?

Not only will you determine the product's viability but also the purchase intent of consumers
According to the modules you choose, you'll be able to identify the emotions your concept, product, and/or packaging arrouses in consumers
Our deliver times are faster than similar offers on the market
Our report's Data Visualization makes sure the insights inside are easily understood and shareable

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Why choose it?

Not only will you determine the product's viability but also the purchase intent of consumers
According to the modules you choose, you'll be able to identify the emotions your concept, product, and/or packaging arrouses in consumers
Our deliver times are faster than similar offers on the market
Our report's Data Visualization makes sure the insights inside are easily understood and shareable

Example See One page

Product Information

What includes? Methodology

Atlantia Search's proprietary methodology for evaluating a product concept includes multiple types of statistical analyses and methodologies that yield highly relevant data and the most actionable insights, among which include:

EVALUATION OF IDEAS OR CONCEPTS (COMPARATIVE OR VS. COMPETITION)

Design evaluation Perceived utility
Perceived quality Understanding of concept
Spontaneous elements more attractive
Elements of greater and less attractive Negative positive and negative emotions
Purchase intent

EVALUATION OF IDEAS OR CONCEPTS (COMPARATIVE OR VS. COMPETITION)

Design evaluation
Perceived utility
Perceived quality
Understanding of concep
Spontaneous elements more attractive
Elements of greater and less attractive
Negative positive and negative emotions
Purchase intent

EVALUATION OF PACKAGING (COMPARATIVE OR VS COMPETITION)

Design evaluation
Perceived innovation
Perceived quality
Perceived originality
Understanding information
Adaptation to the category to which it belongs
Stand out on shelf
More and less attractive elements
Negative and positive emotions
Purchase intent
Evaluation of colors
Evaluation of presented images

EVALUATION OF LOGOTYPES (COMPARATIVE OR VS COMPETITION)

Design evaluation
Perceived innovation
Perceived utility
Perceived quality
Spontaneous elements more attractive
Elements of greater and less attractive Negative and positive emotions
Purchase intent
Evaluation by heavy, medium and light consumer

EVALUATION OF PROMOTIONS (COMPARATIVE OR VS COMPETITION)

Perceived utilit
Perceived innovatio
Ease of participation
Attractiveness of the reward
Intention to participate
Evaluation by heavy, medium and light consumer
Enthusiasm generated

ADDITIONAL MODULES

+ ADD PRICE SENSITIVITY MODULE

Optimum price point
Cheap marginal point
Expensive marginal point
Point of indifference
Acceptable price range

+ ADD BRAND PREFERENCES MODULE

Brand awareness
Brands consumed in the last 3 months
Highest consumption brand
Preferred brand

+ ADD BRAND PREFERENCES MODULE

Brand awareness
Brands consumed in the last 3 months
Highest consumed brand
Preferred brand

+ ADD MODULE PLACES OF PURCHASE

Places of purchase
Favorite places
Payment Methods

+ ADD EMOTIONAL ENGAGEMENT MODULE (Eye tracking)

Activation level
Commitment
Satisfaction
Experience
Relevance
Enjoyment

+ ADD CATEGORY MATCH INDEX MODULE

Ranking of category needs
Ranking of attributes perceived in the product
Gap between valued attributes of the category vs recognized in the element to be evaluated

ATLANTIA SEARCH´S VALUE PROPOSITION

You decide the depth of your study and you can select between exploratory, intermediate, and detailed versions
We have a Concept Match Index for identifying the desired characteristics of a product such as yours (detailed version only)
Our delivery times are faster than our competitors'
Only pay for the things you want to know by selecting modules that group together key questions for each indicator
Not only do we consider the category, brand, and product, but also other factors that impact the consumer's perception and purchase decision
We use data visualization in your report to make the insights quickly and easily understandable and sharable

Atlantia Search’s proprietary methodology for evaluating a product concept includes multiple types of statistical analyses and methodologies that yield highly relevant data and the most actionable insights.

Single and Multivariable Correlation Analysis: Through our AI-driven and automated data analytics tools, we quickly and efficiently carry out different single and multivariable analysis of the data so we can identify the most relevant insights of your study

Single and Multivariable Correlation Analysis: Through our AI-driven and automated data analytics tools, we quickly and efficiently carry out different single and multivariable analysis of the data so we can identify the most relevant insights of your study

The Most Advanced Tools for Assuring Sample Quality:

By default, all of our studies done through CAWI, CAPI y CATI, include automated systems for sample quality control such as:

Anti-Speeder: this validation algorithm estimates the minimum time needed to complete a survey and rejects whatever value falls below it
Unique User Validation (UUV): To avoid multiple survey replies from the same respondent, more than 20 parameters from the device and respondent are validated

Anti-Random Answers (ARA): To exclude random answers from respondents we have an algorithm that identifies psychological patterns that indicate random responses and removes them
Geo-referenced Validation: We guarantee location by GPS tracking respondents or by using the location of their IP address
Other Tools: we utilize additional tools and methods to guarantee the sample quality; control questions, anomalous answers rejection, automatic validation of open answers, missing data algorithms, contingency tables, etc.

We leverage Artificial Intelligence for our data analysis:

Atlantia Search’s automated AI-driven statistical analytics tools allow us to carry out single and multivariable analyses in a question of minutes to find relevant insights. We are also capable of carrying out a host of other analyses which include K-means, CHAID Tree, Conjoint, Maxdiff, M-Estimation, Ordinary Less Scores, Reach Regressions, Logit-regressions, Linear Regressions, Anovas, Pivot Tables, to name a few, and statistics generation methods such as T-test ANOVA, Games-Howell Nonparametric Post-Hoc Tests, Cohen’s F Statistic, Pearson Correlation, Spearman Correlation, Point Biserial Correlation, Cohen’s D, Paired T-test, Fisher’s Exact Test, Chi-Squared Test, Cramer’s V, Z-test, Time-series Analysis, Difference in differences (DID, DD) among many others.

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