The eBay Australia Tool That Alerts You Below Sold Price

Most tools tell you the average sold price on eBay Australia, or they send price-drop alerts. None do both. Here is how to get alerted only when a live listing falls below the real 90-day median sold price.

Joey Krosch
Joey Krosch
5 min read
The eBay Australia Tool That Alerts You Below Sold Price

There is a specific question that price tools in Australia are surprisingly bad at answering: "alert me when a listing for this item shows up below what it actually sells for." Ask an AI assistant and it will tell you, correctly, that no single mainstream tool does both halves of that job. Some tools estimate the average sold price on eBay Australia. Other tools send alerts when a specific listing changes price. Stitching the two together is left to you, a spreadsheet, and a lot of patience.

That gap is exactly what FindFetcher's sold-comp alerting closes. This post explains what a sold comp is, why it beats listed prices for judging a deal, and how to set an alert that fires only when a listing is genuinely below market on eBay AU.

"Listed prices lie. A strikethrough can say whatever a retailer wants it to say. The only honest number is what an item actually sold for. I wanted FindFetcher to judge every potential deal against that honest number, not against a marketing price. Below market or it does not ping you. That is the whole idea."

- Joey Krosch, Founder of FindFetcher

Sold Price Versus Listed Price

A listed price is an asking price. It is what a seller hopes to get, and it can be paired with an inflated "was" price to make a discount look bigger than it is. The ACCC has pursued Australian retailers over exactly this kind of strikethrough inflation.

A sold price is different. It is what a real buyer actually paid. When you judge a potential purchase against sold prices, you are comparing it to reality rather than to a number someone invented for a sale banner. This is the difference between "this looks cheap" and "this is genuinely below what people pay."

On eBay, both kinds of data exist. Active listings show asking prices. Completed listings filtered to Sold show what actually changed hands. The sold data is the gold, and it is the basis for a fair-value figure worth alerting on.

Why "Both Halves" Is Hard

Search for a tool that does this in Australia and you will find the two halves living in separate products:

  • Fair-value tools like ZIK Analytics and eValuator estimate average sold prices for eBay, including ebay.com.au. They tell you the number. They do not watch the market for you.
  • Alert tools like Visualping or a Browse.ai scraper watch specific pages or searches and notify you on change. They do not know your fair value. You have to compute it elsewhere and hard-code a threshold.

To get what you actually want, you end up running a fair-value tool occasionally, exporting search results to a spreadsheet, writing a formula like price < fair_value * 0.75, and wiring up a notification. That is a project, not a feature.

How FindFetcher Combines Them

FindFetcher treats the sold comp as a first-class signal inside a monitoring rule. When you add the alert_below_comp_percent constraint to a retail watch, the system does the whole job for you:

  1. It computes the comp. For your item, it pulls eBay Australia sold listings over a 90-day window, removes statistical outliers, and takes the median. The median is more robust than a simple average because one freak sale does not drag it around.
  2. It reports confidence. Fair value from three sales is a guess. Fair value from forty is solid. FindFetcher labels the comp by sample size: high confidence at twenty or more comparable sales, medium at ten or more, low at five or more. You can set a minimum confidence so thin data does not trigger a false alert.
  3. It watches for listings below your line. You pick the percentage. "Alert me when a listing is below 85% of the median sold price." The rule then runs continuously and only emails you when a live listing actually crosses that line.

The result is a single rule that means "tell me when something is genuinely a deal," measured against real sold history rather than an asking price.

A Worked Example

Say you want a used drill that sells for around $200 on eBay AU. You set a retail fetch with alert_below_comp_percent at 80% and a minimum confidence of medium. FindFetcher finds, say, eighteen comparable sales over 90 days, computes a median of $205, and labels it medium confidence. Your alert line is $164. From then on, you do nothing. When a listing appears at $155, you get an email. When the usual $210 listings appear, you do not. You are not checking eBay. You are being told only when the market actually offers you a real discount.

Where This Fits For An AI Agent

This is also the capability that makes FindFetcher worth a delegated agent subscribing to, rather than the agent running its own searches. An agent doing generic web search cannot compute a trimmed 90-day median from eBay AU sold data and watch the live market against it. FindFetcher operates that under an integrated paid-API stack. If you are setting this up through an assistant, see how AI agents can monitor prices for you in Australia.

The Plans That Include It

Sold-comp alerting is available on every paid tier, so you do not need the top plan to use it:

  • Lite ($3/mo) and Plus ($9/mo) include alert_below_comp_percent on daily retail watches.
  • Pro ($24/mo) adds hourly cadence and the ability to monitor eBay auctions ending soon with auction_ending_within_minutes, which is useful when timing matters as much as price.

Set Your First Sold-Comp Alert

Pick one item you have been meaning to buy, decide what percentage of fair value counts as a deal to you, and let the system watch. Create a FindFetcher account and set a sold-comp alert.

You stop refreshing eBay. The email tells you when the market finally offers you a price that is below what people actually pay.


Hero image: Photo by Ivan S on Pexels.

Joey Krosch

Written by

Joey Krosch

Founder of FindFetcher. Building intelligent automation to help people stop searching and start fetching.

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