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Price Threshold Detector

Identify psychological price cliffs. Input your historical sales or A/B test data to find the exact price points where conversion drops disproportionately.

Input Data Points

$195.5% CVR
$245.2% CVR
$294.8% CVR
$493.5% CVR
$502.1% CVR
$591.9% CVR
$991.5% CVR
$1000.8% CVR

Identified Cliffs

At $4927% Drop

Significant resistance encountered here.

At $5040% Drop

Significant resistance encountered here.

At $10047% Drop

Significant resistance encountered here.

Demand Curve & Thresholds

Mind the Gap

Visualizing the 'Ouch' moment.

1

The Cliff Edge

The red dotted lines show where you lose the most customers. Never price immediately to the right of this line without a major reason.

2

The Plateau

Flat sections of the blue line indicate price insensitivity. You can raise prices safely within this range (e.g., from $19 to $24) without losing much conversion.

3

Revenue Optimization

Sometimes crossing a cliff is worth it if the higher price makes up for the volume loss. Calculate Total Profit = Price * Volume to be sure.

Execution Steps

1

Collect your data: Price points and their corresponding Conversion Rates (CVR).

2

Input the data into the tool (Price vs Conversion %).

3

The tool visualizes the demand curve.

4

Red dotted lines indicate 'Cliffs'—where conversion drops by >25% between price steps.

5

Price just below the cliff (e.g. $49 instead of $50) to capture volume.

Pro Strategy

  • If you see a cliff at $100, price at $99. The psychological difference is massive (Left-Digit Effect).
  • If you cross a cliff, you must add significant value to justify the drop in volume. Don't just raise price by $1 if it crosses a threshold.
  • Round numbers ($50, $100) often act as cliffs because they signal a new mental budget bucket.

Core Concepts

Psychological Threshold

A price point that triggers a shift in perception (e.g. 2-digits to 3-digits). Crossing this threshold often causes a sharp drop in demand.

Elasticity Cliff

A non-linear point in the demand curve where elasticity spikes significantly, indicating high sensitivity. It contradicts the idea of a smooth demand curve.

Price Resistance

The friction a customer feels when paying. Cliffs represent moments of maximum resistance where the customer re-evaluates the value equation.

Deep Dive

What is Price Threshold Detector?

This tool analyzes the 'kinked demand curve'. Unlike standard elasticity models that assume a smooth linear or logarithmic curve, the Threshold Detector identifies discrete step-functions in demand caused by psychological pricing barriers.

Best For

  • Fine-tuning specific price points (e.g. $49 vs $50).
  • Analyzing results from multiple A/B tests.
  • Optimizing for 'Charm Pricing' efficiency.

Limitations

  • Requires granular data points close to the threshold to be accurate.
  • Does not explain *why* the drop occurred, only that it did.
  • Can be noisy if sample sizes at each price point are small.

Alternative Methods

Elasticity Simulator

Better for general trend analysis across a wide range.

Van Westendorp

Better for finding acceptable ranges rather than specific cliffs.

Industry Applications

See how this methodology generates real revenue uplift in different sectors.

Software

SaaS Freemium Conversion

Challenge

Low conversion on $10/mo plan.

Solution

Tested $9 vs $10 vs $12.

Found a massive cliff at $10. Pricing at $9 increased volume by 40%, far outweighing the $1 loss per user.
Ecommerce

Fashion Retailer

Challenge

Jeans sales dropped when priced at $105.

Solution

Analysis showed a cliff at $100. Customers filtered by 'Under $100'.

Dropped price to $98. Sales volume doubled because the product reappeared in search filters.
Mobile App

App Subscription

Challenge

Users balking at $5.99/mo.

Solution

Threshold analysis showed the barrier was $5.00.

Moved to $4.99. Conversion increased 15%, revenue net positive.

Common Questions

Growth Partnership

Don't just optimize prices. Dominate your market.

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