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Pricing Intelligence

What Role Does Price Play in the Buying Process?

TraceData identifies optimal price points that balance customer satisfaction, product value, and revenue maximization.

Optimal Pricing
Revenue Growth
Market Position
Customer Value
What We Do

How We Tap Pricing and Margin Improvement

As per TraceData Research survey, 40% of companies face challenges in determining competitive and optimal pricing that helps beat competition and stay ahead of the industry for market penetration.

TraceData Pricing research analysis helps companies determine optimal prices for target segments, ascertain trade-offs between price and quality, assess price sensitivity and reactions to competitor prices.

40%
Face Pricing Challenges
3x
Better Market Penetration
Pricing Analysis Dashboard
Our Methodology

How We Open New Horizons

TraceData team uses multiple proven methods to perform comprehensive pricing analysis

01

Van Westendrop

Price Sensitivity Meter

02

Conjoint Analysis

Feature Valuation

03

Monadic Testing

Product Evaluation

04

Gabor-Granger

Price Elasticity

05

Competitor Pricing

Market Intelligence

Van Westendrop
Method 01

Van Westendrop

Price Sensitivity Meter

This method determines psychological price points by surveying consumers and understanding how much each customer segment is willing to spend on a product.

Psychological pricingConsumer surveysSegment analysis
Pricing Analysis Benefits
5x
Better ROI
Why It Matters

Why Do You NeedPricing Analysis?

  • Recognize the willingness of consumers to purchase
  • Understand competitor pricing at the micro level
  • Obtain maximum return on investment
  • Maintain the worth of your brand
  • Make calculated choices on price adjustments over time
Get Started

Why TraceData?

Data-driven results for your business

200+
Companies Assisted
10M+
Data Points Analyzed
10%
Avg Profit Increase
Pricing Framework

Primary Elements ofPricing Analysis

Our comprehensive approach covers all dimensions of pricing strategy

01

Product Level Pricing

Individual Product PricingProduct Line Pricing
02

Customer Segment Level Pricing

Segment-Specific PricingPrice Discrimination
03

Geographic Level Pricing

Regional PricingInternational Pricing
04

Time Based Pricing

Dynamic PricingSeasonal PricingPromotional Pricing
05

Channel Level Pricing

Direct vs Indirect PricingChannel Specific Discounts
06

Competitive Level Pricing

Price MatchingPenetration PricingPremium Pricing
07

Lifestyle Level Pricing

Introduction Phase PricingGrowth Phase PricingMaturity Phase PricingDecline Phase Pricing
08

Bundle Level Pricing

Product Bundling PricingMixed Bundling Pricing
09

Service Level Pricing

Subscription PricingFreemium Pricing
10

Behavioural Level Pricing

Psychological PricingValue Based Pricing

Need a customized pricing strategy for your business?

Get Custom Analysis

Real Results

Case Studies

See how our pricing analysis has helped businesses optimize their strategies

Fashion & Apparel

Pricing Analysis to Assess Benchmarks and Customer Willingness

Background

Mid-sized fashion apparel company specializing in women's clothing, operating both online and through brick-and-mortar stores.

Challenge

Facing declining sales and increasing competition in the market.

Analysis & Strategy

  • Competitor benchmarking analysis
  • Customer willingness to pay assessment
  • Price elasticity of demand study

Impact

15% increase in revenue within six months. 20% improvement in customer retention through personalized pricing strategies.

SaaS & Technology

Value Perception and Subscription Model Optimization

Background

SaaS platform for project management serving small to medium-sized enterprises (SMEs).

Challenge

High churn rate and competitive pressure affecting growth.

Analysis & Strategy

  • Value perception analysis across segments
  • Subscription pricing model optimization
  • Feature-tier alignment study

Impact

25% reduction in churn rate within three months. 30% increase in ARPU through premium tier introduction.

Hospitality & Hotels

Dynamic Pricing Model for Hospitality

Background

Chain of mid-range hotels across the United States catering to business and leisure travelers.

Challenge

Fluctuating occupancy rates and seasonal demand variations.

Analysis & Strategy

  • Dynamic pricing model development
  • Competitive rate monitoring
  • Seasonal demand forecasting

Impact

10% increase in occupancy during off-peak periods. 20% revenue increase during peak travel seasons.

Get Started

Have a Project in Mind?

We help you grow your business faster & easier with data-driven pricing strategies.

24h
Response Time
Free
Consultation

Talk to us

Resources

Contact

106A, Adarsh Vihar, New Pac Lines, Kanpur Nagar, Uttar Pradesh, India, 208015
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