---
title: Gradient's Blog - Intuition Alone Is Never Enough | Gradient Metrics | Conjoint Model
description: "Conjoint Model | Business use cases for Gradient research methodologies: MaxDiff analysis, conjoint analysis, customer segmentation, CLV, list experiment, brand metrics."
---

![bg_default_6](https://www.gradientmetrics.com/hs-fs/hubfs/Brand_Current/default/backgrounds/bg_default_6.png?width=300&name=bg_default_6.png)

# Intuition alone is never enough

- [Show all](https://www.gradientmetrics.com/blog)
- [Attitudinal segmentation](https://www.gradientmetrics.com/blog/tag/attitudinal-segmentation)
- [aws.s3](https://www.gradientmetrics.com/blog/tag/aws-s3)
- [Brand Metrics](https://www.gradientmetrics.com/blog/tag/brand-metrics)
- [Brand Perception](https://www.gradientmetrics.com/blog/tag/brand-perception)
- [Brands](https://www.gradientmetrics.com/blog/tag/brands)
- [cloudfs](https://www.gradientmetrics.com/blog/tag/cloudfs)
- [CLV](https://www.gradientmetrics.com/blog/tag/clv)
- [Conjoint Analysis](https://www.gradientmetrics.com/blog/tag/conjoint-analysis)
- [Conjoint Model](https://www.gradientmetrics.com/blog/tag/conjoint-model)
- [Consumer Preferences](https://www.gradientmetrics.com/blog/tag/consumer-preferences)
- [Consumers](https://www.gradientmetrics.com/blog/tag/consumers)
- [customer lifetime value](https://www.gradientmetrics.com/blog/tag/customer-lifetime-value)
- [customer segmentation](https://www.gradientmetrics.com/blog/tag/customer-segmentation)
- [Discrete Choice Experiment](https://www.gradientmetrics.com/blog/tag/discrete-choice-experiment)
- [googlesheets4](https://www.gradientmetrics.com/blog/tag/googlesheets4)
- [List Experiment](https://www.gradientmetrics.com/blog/tag/list-experiment)
- [Market Sizing](https://www.gradientmetrics.com/blog/tag/market-sizing)
- [Marketing Strategy](https://www.gradientmetrics.com/blog/tag/marketing-strategy)
- [MaxDiff Analysis](https://www.gradientmetrics.com/blog/tag/maxdiff-analysis)
- [MaxDiff Example](https://www.gradientmetrics.com/blog/tag/maxdiff-example)
- [MaxDiff Survey](https://www.gradientmetrics.com/blog/tag/maxdiff-survey)
- [Methodology](https://www.gradientmetrics.com/blog/tag/methodology)
- [Open Source](https://www.gradientmetrics.com/blog/tag/open-source)
- [politics](https://www.gradientmetrics.com/blog/tag/politics)
- [Private Opinion Research](https://www.gradientmetrics.com/blog/tag/private-opinion-research)
- [Product Attributes](https://www.gradientmetrics.com/blog/tag/product-attributes)
- [Product Design](https://www.gradientmetrics.com/blog/tag/product-design)
- [Purchase Rate](https://www.gradientmetrics.com/blog/tag/purchase-rate)
- [Sale Driver Analysis](https://www.gradientmetrics.com/blog/tag/sale-driver-analysis)
- [Sales Funnel](https://www.gradientmetrics.com/blog/tag/sales-funnel)
- [SAM Analysis](https://www.gradientmetrics.com/blog/tag/sam-analysis)
- [segmentation](https://www.gradientmetrics.com/blog/tag/segmentation)
- [SOM Analysis](https://www.gradientmetrics.com/blog/tag/som-analysis)
- [TAM Analysis](https://www.gradientmetrics.com/blog/tag/tam-analysis)
- [targeting](https://www.gradientmetrics.com/blog/tag/targeting)

Show allAttitudinal segmentationaws.s3Brand MetricsBrand PerceptionBrandscloudfsCLVConjoint AnalysisConjoint ModelConsumer PreferencesConsumerscustomer lifetime valuecustomer segmentationDiscrete Choice Experimentgooglesheets4List ExperimentMarket SizingMarketing StrategyMaxDiff AnalysisMaxDiff ExampleMaxDiff SurveyMethodologyOpen SourcepoliticsPrivate Opinion ResearchProduct AttributesProduct DesignPurchase RateSale Driver AnalysisSales FunnelSAM AnalysissegmentationSOM AnalysisTAM Analysistargeting

[

Kyle BlockJan 26, 2024 12:50:24 PM8 min read

## Best Tips for Sound Conjoint Analysis Design

Developing a new product can seem like an overwhelming task: Brand, color, price, and a host of other features all impact whether consumers choose one product over another. ...

Start Reading 

](https://www.gradientmetrics.com/blog/best-tips-for-sound-conjoint-design)

<https://www.gradientmetrics.com/blog/tag/conjoint-model#>

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