Modern customers make decisions through trade-offs.

They compare:

• Price
• Features
• Brand
• Delivery speed
• Warranty
• Experience

Traditional surveys often ask people directly:

“What matters most to you?”

But real buying behavior is rarely that simple.

This is where Conjoint Analysis becomes one of the most powerful methodologies in market research.

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What Is Conjoint Analysis?

Conjoint Analysis is a research technique used to understand how people evaluate different combinations of product or service features.

Instead of rating features independently, respondents are shown realistic product combinations and asked to choose their preferred option.

This helps organizations understand:

• What truly drives customer decisions
• Which features increase preference
• How sensitive customers are to price
• Which product combinations perform best

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Conjoint Analysis Inside Sentink

Sentink supports advanced Choice-Based Conjoint (CBC) analysis directly inside the platform.

Respondents are presented with multiple choice tasks.

Each task contains:

• Several concepts
• Multiple attributes
• Different attribute levels

Example:

Attribute	Levels
Price	$9 / $19 / $29
Delivery	Same Day / 2 Days / 5 Days
Brand	Brand A / Brand B
Warranty	1 Year / 3 Years

Respondents select:

• Their preferred option
• Or optionally: “None of these”

This creates realistic preference behavior instead of simple opinion collection.

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How Sentink Processes Conjoint Data

Sentink reconstructs:

• Choice occasions
• Experimental design structures
• Weighted response sets

The platform then applies:

• Aggregate multinomial logit modeling
• Ridge regularization
• Preference share simulation

The result is a practical business-focused conjoint workflow integrated directly into the survey experience.

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Real Business Use Cases

Product Pricing Optimization

Understand:

• Which price levels customers prefer
• Whether premium features justify higher pricing
• How price impacts preference share

Example

A SaaS company tests:

• $49/month
• $99/month
• $149/month

against:

• AI features
• Reporting capabilities
• Automation limits

to determine the optimal market position.

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Product Feature Prioritization

Not every feature has equal value.

Conjoint analysis helps identify:

• Which features increase preference
• Which features customers ignore
• Which improvements deserve investment

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Packaging & SKU Design

Brands can evaluate:

• Package sizes
• Product bundles
• Colors
• Variants
• Country of origin
• Retail formats

before launching products into the market.

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Competitive Scenario Testing

Sentink’s simulator allows teams to compare:

• Their own products
• Competitor concepts
• Hypothetical future offers

This creates a powerful “what-if” strategy environment.

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Customer Segment Analysis

Different audiences value different things.

Sentink allows conjoint outputs to be segmented by:

• Age
• Gender
• Country
• Subscription type
• Customer behavior
• Survey questions

This helps organizations identify:

• Price-sensitive audiences
• Brand-driven audiences
• Convenience-focused segments

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Types of Analysis Available in Sentink

Relative Importance Analysis

Shows how strongly each attribute influences customer choice.

Example:

Attribute	Importance
Price	42%
Brand	25%
Delivery Speed	18%
Warranty	15%

This answers:

“What matters most?”

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Preference Drivers (Utilities)

Sentink calculates utility-based preference effects for each attribute level.

This shows:

• Which levels increase attractiveness
• Which levels reduce preference
• Which combinations create stronger market appeal

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Preference Share Simulation

Sentink estimates hypothetical preference shares between concepts.

This helps answer:

“If these products competed together, which one would customers prefer?”

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Interactive Market Simulator

Users can:

• Change pricing
• Modify features
• Add competitors
• Remove concepts
• Enable “None of these”
• Compare multiple SKUs

The simulator recalculates preference shares dynamically.

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Segment Comparison Analysis

Compare conjoint behavior across audience groups.

Example:

• Younger audiences prioritize convenience
• Older audiences prioritize reliability

Sentink visualizes:

• Importance differences
• Utility shifts
• Segment behavior patterns

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Price Tuning Analysis

When price attributes are included, Sentink can estimate:

• Preferred pricing zones
• Share-versus-price behavior
• Revenue opportunity indicators

These insights are directional and designed for strategic decision-making.

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Demand Curves

Sentink can generate simplified demand curves showing:

• Preference share versus price
• Competitive response behavior
• Sensitivity ranges

This helps identify:

• Pricing cliffs
• Elasticity signals
• Optimal positioning zones

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AI-Powered Insights

Sentink can generate executive-style AI summaries from conjoint outputs.

These may include:

• Key findings
• Strategic opportunities
• Risk indicators
• Pricing recommendations
• Product positioning insights

The AI layer is built on structured analytical outputs rather than generic text generation.

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Why Conjoint Analysis Matters

Conjoint analysis helps organizations reduce uncertainty when making decisions about:

• Product design
• Pricing
• Packaging
• Feature prioritization
• Bundling
• Subscription plans
• Market positioning

Instead of relying on assumptions, teams can simulate realistic customer trade-offs and measure likely market preference behavior.

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Conjoint Analysis With Sentink

Sentink combines:

• Survey creation
• Advanced conjoint analytics
• AI-powered reporting
• Interactive simulation
• Segmentation
• Executive insights

inside one unified platform.

This allows research, CX, product, and strategy teams to move from collecting opinions to testing realistic business decisions with AI-assisted analytics.