Sencia Analytics

HCI
Hence Consumer Insights

Revealing high potential ideas

Context and key points

Selecting a mix of products in line with what the end consumer wants is a challenge for the fashion industry. The ideal would be to test the different product ideas in an agile and reliable way for the decision making regarding next collection.

Core Questions

Which ideas are most attractive to consumers? Which ones add value and represent the collection’s next successes?

Critical Points

  • Select the most relevant ideas for consumers.
  • Knowing how much people are willing to pay for each idea.
  • Diagnose opportunities for design / product improvements
  • Define the ideal mix that generates greater attractiveness with the best perception of value.
01

HCI Hence Consumer Insights

Continuous, automated process to define a short-list of products most likely to meet consumers’ needs and expectations.

HCI Dynamics

Online platform for standardized product testing for each new collection or for assessing brand strength.

1. Image upload of products to be tested on the platform

2. Evaluation of products through online survey with consumers.

3. Analysis of the results with the recommendation of the ideal mix.

The scalar performance of each product will be measured by attractiveness metrics that can be segmented by different consumer profiles.

Objective Performance

Comparative Performance

Understand the strengths of each product and how they divide between relevance, uniqueness and overall attractiveness.

COMFORT
25%
IN FASHION
23%
PRACTICALITY
18%
UP TO DATE DESIGN
16%

Spontaneous Impressions

Qualitative component that brings the spontaneous impressions that consumers associate with each evaluated product

Price Sensitivity

The PSM (Price Sensitivity Model) considers that price is an intrinsic measure of value that helps to establish the minimum and maximum intervals and also the optimal price point for a given product.

Max Diff’s analysis helps the company to understand how people make their choices from a set of products presented in a comparative way and that reflects the maximum difference in preference or importance between them.

Max Diff

Unduplication

Combination of products with the potential to reach the largest number of consumers.

 Many products from a range of offerings can appeal to the same consumers who will buy only one of the items when in market. This consumer deduplication technique, in an analysis analogous to the TURF, allows the prioritization of products that add a greater number of new consumers and that would not be reached by only one of the offers.

Road Map

Defining a framework for product testing that allows autonomous projects to be conducted

Validation
Implementation
Recurrence
Artificial intelligence

Sencia offers the state of the art in Data Science and Marketing Analytics to achieve your goals.

Multidisciplinary team composed by Masters and Doctors in Statistics, Computational Mathematicians and Marketing Specialists.

Artificial Intelligence and ML algorithms to identify the aspects most valued by consumers

Prescriptive insights to guide the innovation pipeline.

Preencha os campos abaixo e receba o PDF completo sobre o HCI