Pricing Experimentation Template

Business Model

Pre-Seed

KEY OUTCOMES

A validated and optimized pricing strategy that aligns with market demand, maximizes revenue potential, and enhances customer conversion and retention.

CREATED BY

Kendra Garagan

Founder

@

Kenergy

2 WEEKS

TO COMPLETE

THE OVERVIEW

This template helps founders test different pricing models, gather real customer insights, and refine their pricing structure to optimize for revenue and market fit. It outlines a structured experimentation process to test pricing tiers, track conversion impact, and analyze customer willingness to pay.

WHAT PROBLEM IT SOLVES

Many startups struggle with determining the right price for their product or service. Pricing too high can drive potential customers away, while pricing too low can limit revenue and perceived value. Without structured experimentation, startups risk leaving money on the table or failing to attract customers. This template provides a data-driven approach to systematically test, refine, and validate pricing strategies to maximize conversion and revenue.

WHAT'S INSIDE

Pricing Hypothesis Framework: Define and structure your pricing test Competitive Pricing Analysis: Compare with competitors using AI-generated research Pricing Experiment Tracker: Track test groups, conversion rates, and revenue impact Customer Feedback Section: Collect qualitative data on pricing perception Final Pricing Strategy Mapping: Document key takeaways and final decision

BEFORE YOU BEGIN

Ensure you have a basic understanding of your customer segments and their expected price sensitivity. If possible, review competitor pricing models to establish baseline comparisons.

IDEAL FOR

Founders launching their first pricing model and need data-backed insights Startups exploring subscription, tiered, or usage-based pricing Growth-stage companies looking to optimize revenue without reducing conversions

THE BENEFITS

Provides a structured hypothesis-driven approach to pricing Helps founders test multiple price points before making a final decision Tracks conversion rates, revenue impact, and customer reactions to different pricing models Ensures pricing aligns with customer expectations and willingness to pay

Reduces risk of underpricing or overpricing by using real data

CREATOR TIP

Do not just test price—test perceived value. Experiment with packaging, bundling, and feature access at different price points.

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