Last updated: March 2026
Introduction
When purchasing hemp products online, customers rely on product information to understand what they are receiving.
Because hemp classification depends on measured cannabinoid levels, independent verification is important. This verification is provided through a Certificate of Analysis, commonly called a COA.
This guide explains how COAs help consumers review product documentation and make informed comparisons.
What a COA Confirms
A COA is a third-party laboratory report that records measured values for a specific product batch.
Rather than relying on descriptions alone, customers can review documented results directly.
If unfamiliar with how reports work, see our COA reading guide.
Independent Verification
Laboratory testing is performed by separate facilities rather than the retailer.
This allows measurements to be documented outside the sales process, providing an additional layer of transparency.
You can view example lab reports.
What Customers Can Check
When reviewing a COA, customers typically verify:
- Product name matches listing
- Testing laboratory identification
- Testing date
- Measured cannabinoid values
- Verification status
This information helps confirm documentation corresponds to the product being offered.
Why Batch Testing Matters
Hemp is an agricultural product, meaning characteristics can vary between harvests.
Batch-specific testing ensures each lot is documented rather than assuming identical results across different production runs.
COAs vs Marketing Claims
Product descriptions often summarize characteristics, while COAs document measured data.
The report allows customers to independently review information rather than relying only on labeling terminology.
Transparency and Confidence
Providing accessible documentation helps customers compare products more comfortably and understand classification standards.
It also helps distinguish documented products from those without verifiable testing.
Final Thoughts
COAs allow customers to review third-party documentation tied to specific batches. Understanding how to read them helps shoppers evaluate hemp products using measured information rather than description alone.