Data-Driven Pricing Strategies

Where to Find Sold Data

• eBay: Filter search results by "Sold Items" — shows exactly what buyers paid in the last 90 days. This is the gold standard for pricing research.
• Poshmark: Check "Sold" listings for the same brand/item.
• Mercari: Search completed listings (look for the "Sold" badge).
• Depop: Harder to find solds — check similar items that are no longer available.
• StockX/GOAT: Prices are transparent — recent sale prices visible for any item in real time.

Check across 2–3 platforms. Prices vary — a vintage Starter jacket might average $40 on eBay, $55 on Depop, $30 on Mercari.

The 3-Point Pricing Method

Find the low, median, and high sold prices for comparable items:

• Low = floor (don't price below this)
• Median = target (where most sales happen)
• High = ceiling (items in excellent condition or with rare features)

Price your item based on condition relative to the comps. Average condition = median. Better than average = between median and high. Flaws = between low and median.

Factoring in Fees Per Platform

This is where FeePilot becomes essential. A $40 item sells for the same price on eBay and Depop. But after fees:

• eBay: $40 − 13.6% − $0.40 = $33.96
• Depop (US): $40 − 3.3% − $0.45 = $38.23

That's $4.27 more on Depop for the same sale. Multiply by 100 sales. Always check your payout per platform before choosing where to list. Compare on FeePilot →

Dynamic Pricing — When to Adjust

• Week 1–2: List at your target price (median or slightly above)
• Week 3–4: If no bites, drop 10–15%
• Week 5–6: Another 10% drop or relist (refreshes search position)
• Week 8+: Consider moving to a different platform or bundling

Seasonal items: price higher during peak season, discount aggressively off-season. eBay's Promoted Listings: instead of dropping price, try a 2–3% ad rate first — sometimes visibility is the problem, not price.

The Reverse Calculator Approach

Instead of starting with a sale price, start with your target profit. "I want to make $20 on this jacket after all fees." FeePilot's Pro reverse calculator tells you exactly what to list at on each platform to hit that target.

Tracking What Works

Keep a simple log: item, platform, list price, sale price, days to sell, profit. After 50–100 sales, patterns emerge:

• Which price points sell fastest
• Which platforms convert best for your niche
• Which brands command premiums

This data is more valuable than any pricing guide because it's specific to YOUR inventory and YOUR audience.

Advanced: A/B Testing Prices

List the same type of item at two different prices on the same platform. Track which sells first and at what margin.

Example: two similar flannel shirts — list one at $25, one at $30. If both sell within a week, your floor just moved up. If only the $25 sells, that's your market. Do this across platforms too.

Run data-driven pricing through FeePilot →