Last updated: Editorial standards

About SupplementMath

We make protein powder selection mathematical and objective by normalizing every product to comparable metrics.

Why It Matters

Brands manipulate serving sizes, obscure pricing with proprietary "blends," and make meaningless marketing claims. Amazon reviews are often affiliate-driven. This information asymmetry benefits brands at your expense.

Our Approach

We normalize all products to common metrics: price per 100g of protein (true cost), calories per 100g of protein (caloric efficiency), protein source categorization, and sweetener transparency. When every product is measured the same way, the best value becomes obvious.

We normalize everything to common metrics: price per 100g protein, calories per 100g protein, protein source, and sweeteners. No marketing budget can change the math.

Our Principles

Objectivity: Rankings use calculable metrics, not opinions. We don't score taste or mixability—those are subjective.

Transparency: Every calculation is reproducible. You can verify the math yourself using data from product labels.

Independence: We maintain independence from brands. Commissions from retailer links don't affect rankings.

Neutrality: Whey isn't inherently "better" than plant protein. Isolates aren't always "better" than concentrates. Each type has use cases where it excels.

Our Experience & Expertise

Built by data analysts. We analyze 47+ protein powders across US, UK, Canada, and Australia markets. Each product tracks 8+ data points: protein, calories, serving size, container weight, protein type, sweetener type, certifications, and lead testing data.

Our methodology: normalize to comparable metrics (price per 100g protein, calories per 100g protein), rank by objective data, make everything reproducible.

Our Process

  1. Collect data from product labels and third-party testing (Consumer Reports, Clean Label Project)
  2. Convert to comparable metrics
  3. Calculate and rank objectively
  4. Cite sources and make calculations reproducible

Who Is This For?

Athletes: Find products matching your criteria (maximum protein, minimal calories, fast absorption) without paying for marketing.

Beginners: We simplify the decision by showing which products offer the best value and explaining protein types in plain language.

Budget shoppers: Our price-per-100g-protein metric reveals true value. Avoid overpriced marketing-heavy brands.

Dietary restrictions: Filter for lactose-free, vegan, or artificial-sweetener-free options without sacrificing quality or value.

What The Data Shows

  • Some "premium" products cost 3x more for identical nutritional profiles
  • Store brands often beat national brands on price per gram of protein
  • Plant proteins have closed the gap with whey in both completeness and cost
  • Isolates aren't always worth the premium over concentrates

Our Commitment

As long as the supplement industry prioritizes marketing over transparency, SupplementMath will provide an alternative: data-driven, objective comparisons.

Frequently Asked Questions

What is SupplementMath?

A data-driven protein powder comparison tool. We normalize all products to common metrics like price per 100g of protein and calories per 100g of protein, enabling objective comparisons.

How is SupplementMath different from other protein powder review sites?

Most review sites rely on subjective taste tests, affiliate links, and brand sponsorships. SupplementMath uses only objective data from product labels. We don't accept payment for rankings.

Is SupplementMath affiliated with any protein powder brands?

No. We maintain independence from all protein powder manufacturers and retailers. Rankings are determined solely by calculated metrics from product data.

Why did you create SupplementMath?

The protein powder market is filled with confusing serving sizes, misleading pricing, and marketing hype. We created SupplementMath to bring transparency through mathematics.

Can I trust the data on SupplementMath?

Yes. All data is sourced from manufacturer labels and verified against official product listings. Every calculation is reproducible—you can verify our metrics yourself.