Our Valuation Methodology
Transparency is key. Learn exactly how our AI model processes vast amounts of market data to deliver your personalized smartphone worth estimate.
1. Data Sources and Engine
The SmartphoneWorth valuation engine utilizes a proprietary Machine Learning (ML) model trained on millions of historical and real-time data points, including:
- Historical Transaction Data: Past sales prices from major resellers and trade-in platforms.
- Current Market Listings: Real-time scraped data from high-volume marketplaces (e.g., eBay, Swappa) and retailers.
- Manufacturer and Carrier Programs: Published trade-in guidelines and device retention offers.
- Economic and Tech Trends: Inflation data, new device announcement dates, and supply chain reports.
2. Key Factors Affecting the Price
Our algorithm dynamically weights the following variables to calculate the final worth range:
Device Specifics (Highest Weight)
- Model & Storage: Exact device and internal memory.
- Condition: Mint, Good, Cracked (Physical state).
- Carrier Lock: Unlocked (highest value) vs. Network-locked.
Market Dynamics (Moderate Weight)
- Age and Obsolescence: Time since release.
- Seasonality: Higher demand near major phone launches.
- Buyback Margins: The typical profit margin of the reseller/buyer.
3. Interpreting the Valuation Range
- The High End (Maximum Value)- This represents the potential price when selling a device in pristine, 'like new' condition via a private marketplace (like eBay or Facebook Marketplace). This route maximizes profit but requires more effort (listing, shipping, dealing with buyers). 
- The Low End (Minimum Value)- This typically reflects the guaranteed price from an instant buyback company or a carrier trade-in program for a device in good-to-fair condition. This method offers speed and convenience but generally lower cash value. 
Important Disclaimer
The valuation provided by SmartphoneWorth is an ESTIMATE ONLY.
- Final Price: Determined solely by the third-party **buyer's** or retailer upon physical inspection.
- Functionality: The model cannot assess non-obvious internal defects (e.g., battery health, water damage).
- Affiliate Links: Some links may generate small commissions if used — without affecting your payout.
