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Conjoint Analysis | Your Company Name

Unlock Smarter Decisions with Conjoint Analysis

Price for Better Revenues | Test New Features & Trade-Offs | Test Line Extensions | Optimize Per Segment

Why Choose Acentric for Conjoint Analysis?

1. Your project will be supervised by Craig Kolb, an MR specialist with 20 years experience

2. Your project will be executed using Metrisim software, the best metric conjoint analysis suite available today

3. Better segmentations - none of the distributional assumptions of CBC

4. Value for money pricing - metric conjoint means smaller samples & shorter questionnaires

5. Field / Panel agnostic - bring your own audience or provider to avoid data markups

Segment

Segment your market by feature preferences & price sensitivity to better understand customer differences

Market Simulator

Test pricing & feature combinations before you introduce them to the actual market to reduce risk. Assess preference share / market share / revenue changes.

Reformulate vs Line Extension

Compare the impact of reformulation vs line extension.

Price Curves

Plot price against share / revenue for a given feature set.

Actionable Insights

Clear, data-backed recommendations for pricing, features, and positioning.

Expertise

Guided by an analytics professional who help translate data into strategy.

How It Works

1

Define Your Market

The 'who' is important to study success.

3

Survey

A survey of relevant market participants such as buyers and those considering.

2

Simulate Preferences

Conjoint analysis simulations for fast, cost-effective insights.

4

Optimize with Confidence

Receive detailed reports on feature importance, price sensitivity & winning combinations.

Broad Application Across Industries

Product Development

Test new potential feature ideas & quantify trade-offs against other features & price.

Pricing Strategy

Find the price that maximizes revenue or share without costly trial-and-error.

Market Expansion

Simulate product line / portfolio extensions.

Segmentation

Identify segments based on feature preferences not demographics or abstract lifestyle & values variables.

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