Most electronic waste gets priced the same way it always has. A category label. A weight. A market rate someone pulled from a buyer's offer or an industry average. The number gets agreed, the material changes hands, and nobody really knows if it was fair.
This article explains how composition-based pricing works, why it produces more accurate valuations than category averages, and how to apply it to a real batch using certified data.
Why Category Pricing Fails
Category pricing starts from the wrong assumption — that all material within a category is equivalent. Mixed PCBs. Mixed RAM. Payment terminals. Each category gets a rate, applied uniformly across everything in that pile.
The problem is that electronic waste is not uniform within categories. Two PCBs in the same bin can have gold concentrations that differ by a factor of five. Two RAM modules from different manufacturers can have a 57% difference in precious metal content despite being the same generation and form factor. Two Wi-Fi cards from different device families can price out at completely different rates per kilogram.
When you apply a single category rate to material with this level of internal variance, you are guaranteed to underprice some of it and overprice the rest. At low volumes that gap is small. At industrial volumes it compounds into significant, systematic revenue loss.
What Composition-Based Pricing Actually Means
Composition-based pricing starts from a different question. Not "what category is this?" but "what does this specific material actually contain?"
The answer comes from certified laboratory analysis — metal composition measured in parts per million (ppm) or grams per kilogram (g/kg) for gold, silver, palladium, and copper. That composition is then linked to live precious metal market prices to calculate a value per kilogram that reflects what the material actually contains, not what the category historically averaged.
The result is a price per kilogram that is specific to that device type — and that moves when precious metal markets move, because the underlying composition data is linked to live indicators rather than static averages.
This is how Recovert prices every device in the catalog. Not by category. By certified composition per device, linked to current market conditions.
Step 1 — Identify What You Have
Before you can price a batch correctly, you need to know what device types are in it. This sounds obvious but it is where most valuation processes break down. "Mixed PCBs" is not an identification — it is a category label that hides the composition variance within the batch.
Go through your batch and identify specific device types where possible. Payment terminals by model. RAM modules by manufacturer and generation. Wi-Fi cards by model. PCBs by device origin — industrial, telecom, consumer electronics.
The more specific the identification, the more accurate the valuation. Even partial identification — separating Samsung RAM from mixed RAM, or telecom boards from consumer PCBs — produces a meaningfully better valuation than treating everything as one category.
Step 2 — Look Up Certified Composition Data
Once you know what device types you have, look up their certified composition in the Recovert catalog. Each entry shows:
- Metal composition in ppm and g/kg — gold, silver, palladium, copper
- Price per kilogram based on current market indicators
- Unit value based on device weight and composition
- Material recovery rate — what can realistically be extracted during processing
- CO₂ saved per unit
For device types not yet in the catalog, the category data gives you a reference point — but the more specific the match, the more accurate the valuation.
Step 3 — Use the Calculator to Value Your Batch
Once you have identified the device types in your batch and found their catalog entries, use the Recovert Calculator to build a full batch valuation.
Add each device type to the Calculator. Enter the total weight or quantity for each. The Calculator returns:
- Total weight across the batch
- Full metal composition breakdown — total gold, silver, palladium, copper across all entries
- Combined batch value at current market prices
- A structured valuation document ready for negotiations or internal reporting
This document is the output that changes the dynamic of a negotiation. Instead of presenting a category label and a weight, you present a documented valuation showing exactly what the batch contains and what it is worth at current market conditions.
Step 4 — Separate High-Value Components
One of the most practical applications of composition data is identifying which components in a mixed batch are worth separating for individual valuation rather than pricing as mixed material.
Wi-Fi cards are a clear example. In a standard ITAD laptop processing workflow, Wi-Fi cards go into the mixed electronics bin. But at 823 ppm of gold and €92 per kilogram, the Atheros Wi-Fi card prices significantly higher than most mixed electronics categories. Separating and valuing them individually rather than mixing them recovers that value.
The same logic applies to telecom modules, connectors, and specific PCB types that have significantly higher composition than the mixed category average. Certified data per device is what makes these decisions possible — without it, everything looks the same.
Step 5 — Use the Data Before You Negotiate
The final step is bringing this valuation into the negotiation before an offer is made — not after.
A buyer who makes an offer based on their composition data and your category label has a significant information advantage. A seller who arrives with a documented batch valuation — certified composition, recovery rate, and current market pricing per device type — is negotiating from a completely different position.
The data does not guarantee you will achieve the full certified value. Buyers have processing costs, risk margins, and market exposure that are legitimate factors in pricing. But it means the negotiation starts from a documented, verifiable position rather than from whatever the buyer chooses to offer.
That shift — from accepting an offer to negotiating against documented data — is what composition-based pricing makes possible.