BSC

Brand-Specific Conjoint

Brand-specific conjoint is a discrete choice method for markets where potential product characteristics vary across brands or SKUs (it is commonly the case in FMCG, telco, home appliances, and tech). Technically known as choice-based alternative-specific/labelled conjoint design, it is used for:

  • Feature selection for new or revamped products.
  • Pricing your product, taking into account competitors' offerings and pricing.
  • Testing branding, packaging and advertising claims.

Main outputs of Brand-Specific Conjoint

Share of preference simulation

Share of preference simulation

Estimate share of preference based on customers' revealed preferences.

You can run "what-if" scenarios to see how consumers will behave if you change features of your product. Learn more about preference share scenario modelling.

Understand amount of interest in new product launches

Understand amount of interest in new product launches

Through preference share simulations.

Run "what-if" scenarios to measure the amount of interest in new product ideas, compare with current SKUs and assess sources of business (i.e. if you are sourcing from competitors or cannibalising your product line).

Price elasticity of demand

Price elasticity of demand

Estimate consumers' sensitivity to price changes and its effect on sales.

Run "what-if" scenarios to assess consumers' reactions to price increases or decreases in the context of your other SKUs and competitor offerings. Project revenue levels at different pricing options to select optimal pricing for your new or existing SKUs.

Relative performance of brands

Relative performance of brands

Performance of different brands, considering their possible variants.

Conjointly estimates how strongly customers prefer different brands of products, taking into account the different variants (combinations of features and prices) presented to them. In this example, Landrange and Ladina tend to have more appealing variants than Kea.

Partworth utilities

Partworth utilities

Importance of product characteristics and performance of different features.

Conjointly estimates how important each attribute is relative to the other attributes in customers' decision-making process (called relative importance of attributes).

Each level of each attribute is also scored for its performance in customers’ decision-making (relative performance of levels). In this example, Hybrid is preferred over Petrol for this brand.

Ranked list of product constructs

Ranked list of product constructs

List all possible level combinations and rank them by customers' preference.

Conjointly forms the complete list of product constructs using all possible combinations of levels. They are ranked them based on the relative performance of the levels that they combine. This module allows you to find the best product construct that your customers will prefer over others.

Segmentation of the market

Segmentation of the market

Find out how preferences differ between segments.

With Conjointly, you can split your reports into various segments using the information collected automatically by our system, respondents' answers to additional questions (for example, multiple-choice), or GET variables. For each segment, we provide the same detailed analytics as described above.


Learn more about conjoint analysis

What is Conjoint Analysis?

Conjoint analysis is one of the most widely-used and powerful quantitative methods in market research. Discover how it works and when to use it.

Complete solution for pricing research

SURV

Survey Tool

Fully-functional online survey tool with various question types, logic, randomisation, and reporting for unlimited number of responses and surveys.

GC
Range optimisation
Features and claims

Generic Conjoint

Feature and claim selection and measuring willingness to pay for features for a single product.

MD
Range optimisation
Features and claims

MaxDiff Analysis

MaxDiff (aka Maximum Difference Scaling or Best–Worst Scaling) is a statistical technique that creates a robust ranking of different items, such as product features.

CT
Features and claims

Claims Test

Efficiently test up to 300 product claims on customer appeal, fit with brand, and diagnostic questions of your choice.

BSC
Pricing research
Range optimisation

Brand-Specific Conjoint

Pricing, feature and claim selection in markets where product characteristics vary across brands, SKUs, or price tiers.

PVS
Range optimisation

Product Variant Selector

Identify winning product variants from up to 300 different ideas (e.g., designs, materials, bundle options) on customer appeal, fit with brand, and diagnostic questions of your choice.

BPTO
Pricing research

Brand-Price Trade-Off

Test pricing of new and existing consumer goods in a competitive context using elasticity charts, revenue, and profitability projections.

GG
Pricing research

Gabor-Granger Pricing Method

Determine price elasticity for a single product and identify revenue-maximising price level.

VW
Pricing research

Van Westendorp Price Sensitivity Meter

The Price Sensitivity Meter helps determine psychologically acceptable range of prices for a single product and approximately estimate price elasticity.

AB
Concept testing

A/B Test

Perform focussed comparisons between two items to determine which performs better.

MT
Concept testing

Monadic Test

Ask respondents to evaluate product concepts and digital assets one-by-one to get a read of their preferences and perceptions with various question types.

DAT
Concept testing

Digital Asset Test

Test the effectiveness of your digital advertisements in an online environment

IT
Concept testing

Image Test

Test the effectiveness of your images in an online environment

BNE
One-Click Market Research

Business Name Evaluator

Efficiently evaluate potential business names to identify the best one to represent your brand

IAT
One-Click Market Research

Image Ad Test

Efficiently test potential images to identify the best one for your ads

ACT
One-Click Market Research

Ad Copy Test

Efficiently test ad copy to identify the best one for your campaign

BNT
One-Click Market Research

Brand Name Test

Efficiently test potential brand names to identify the best one to represent your business

PDT
Concept testing

Product Description Test

Validate your product descriptions before release

DNLC
One-Click Market Research

Domain Name Likability Check

Efficiently test potential domain names to identify the perfect new home for your brand

PAT
One-Click Market Research

Print Ad Test

Efficiently test print ads to identify the best one for your campaign

VT
Concept testing

Video Test

Test the effectiveness of your videos in an online environment

IS
Concept testing

Idea Screener

Perform preliminary screening to find your best product ideas.

OOH
One-Click Market Research

Out-of-Home Ad Test

Efficiently test out-of-home ads to identify the best one for your campaign

PNT
One-Click Market Research

Product Name Test

Efficiently test potential product names to identify the best one to reflect your brand

BCD
One-Click Market Research

Business Card Design Test

Efficiently test potential business card designs to identify the best one for your business

LT
One-Click Market Research

Logo Test

Efficiently test potential logos to identify the best one for your ads

PT
One-Click Market Research

Package Test

Efficiently test packages to identify the best one for your product

PCT
One-Click Market Research

Product Concept Test

Efficiently test product concepts to identify the best one for your business

GDF
One-Click Market Research

Graphic Design Feedback

Efficiently test graphic designs to identify the best one for your brand

TURF
Range optimisation
Features and claims

TURF Analysis Simulator

Conduct automated TURF analysis on results of any Conjointly experiment (or an outside dataset) using this user-friendly TURF analysis tool.

DIY

DIY Experimental Design

Allowing advanced choice modellers to upload their own experimental designs and perform data collection on Conjointly.

KANO
Features and claims
Feature and Pricing Suite for SaaS

Kano Model

Ensure product-market fit and maximise your user acquisition and expansion, by differentiating software features according to your users' needs.