Why should I pay when eBay sold is free?

Time is money. Checking eBay sold takes 2-3 minutes per item: searching, scrolling through results, mentally calculating fees and shipping. At a garage sale with 50 potential items, that's 2+ hours of standing around researching. We do it in 30 seconds with instant profit calculations, platform fee breakdowns, and red flags. Same 50 items? 25 minutes total. Plus everything is saved, tracked, and organized. The paid tiers cost less than one decent flip - and you'll find that flip faster.

How is this different from checking eBay sold or asking AI myself?

Three things: speed, accuracy, and tracking. Asking ChatGPT or similar gives you generic guesses without real market data. We combine instant AI identification with actual sales data, then automatically calculate platform fees, shipping estimates, and net ROI. Plus, every analysis is saved to your account so you can track what you've researched, compare items over time, and move items directly to your Flip Tracker.

Where does the price data come from?

We aggregate pricing data from multiple sources including completed sales, active listings, and historical market trends. The AI identifies your item from the photo, cross-references comparable items across platforms, and synthesizes this data to provide accurate market values with confidence levels based on how many data points we found.

What can I analyze? Does it work on any item?

Anything you can photograph. Electronics, clothing, collectibles, toys, tools, furniture: if people buy it on eBay, we can analyze it. Works with photos you take, screenshots from FB Marketplace, OfferUp, Craigslist, or any other source. The AI is trained on millions of product images.

How accurate is the net profit calculation?

We use current platform fee rates (eBay 13.25%, Mercari 10%, Poshmark 20%, FB Marketplace 0%). Shipping estimates are based on typical costs for the item category and size. Your actual results may vary slightly based on your negotiated shipping rates or promotional fee discounts, but you'll be within a few dollars.

What's the Flip Tracker?

Built-in inventory management. When you decide to BUY an item, add it to your tracker in one click. Track what you paid, where you're listing it, and record the sale when it sells. Get real P&L numbers, ROI by category, average days to sell, and exportable reports for taxes.

Do I need to download an app?

No app required. Underpriced is a web app that works in any browser (Chrome, Safari, Firefox) on desktop or mobile. Just go to underpriced.app and you're ready to go. Add it to your home screen for quick access while sourcing.

What if the AI makes a mistake?

That's why we include Sold Comps links with every analysis. One click takes you directly to eBay Sold listings, Poshmark, Mercari, and Terapeak so you can verify the price yourself in seconds. See exactly what similar items actually sold for. We show you confidence levels and data points too — low confidence means fewer comps were found, so hit those links and double-check. The AI does the heavy lifting, but you always have the tools to verify.

Can I use this at thrift stores or garage sales?

Absolutely, that's what it's built for. You need cell service or WiFi for the AI analysis (it runs in the cloud). Most places have signal. If you're in a dead zone, snap photos and analyze them when you get signal, or save them for later.

Is there a free plan?

Yes! Get 5 free analyses with all AI features included — Sold Comps, Due Diligence, Fake Check, Negotiator, Help Me Sell, and FlipExpert AI. No credit card required. It's enough to test the tool and see if it fits your workflow. When you're ready to scale, paid plans start at just $3/month.

Watchers but No Offers? Pricing Recovery Playbook (2026): Margin-Safe Counters, Thresholds, and Close Rules

Watchers are not the same as buyers.

A listing with watchers but no offers usually means this:

The item has market interest
Your final decision point (price/risk/trust/timing) is not compelling enough

Most sellers respond by cutting price too fast. Smart resellers diagnose first, then apply a controlled offer and pricing framework that protects margin.

This playbook gives you that framework.

If your issue is zero impressions (not watcher-to-offer failure), start with eBay Listing Has No Views? Fix Playbook (2026).

Watchers Signal Demand, Not Conversion

A watcher may be:

waiting for payday
comparing similar listings
testing for price drops
using your listing as a benchmark before buying elsewhere

So the question is not “how do I force this sale today?” The question is:

What friction is stopping a watcher from becoming a buyer while still keeping this SKU profitable?

Why Watchers Stall: 4 Margin-Safe Diagnoses

1) Price is close, but not decision-ready

You may be in range, but not at a confidence-trigger price for your target buyer.

2) Offer pathway is unclear

No Best Offer strategy, weak counter logic, or inconsistent response timing can kill momentum.

3) Trust friction remains

Even interested buyers hesitate when condition clarity, shipping expectations, or return confidence is weak.

4) Listing age strategy is missing

Applying one static pricing rule from day 1 to day 60 leads to either underselling early or stagnating late.

For best-offer system design, see eBay Best Offer Strategy for Resellers (2026).

Step 1: Build Your Floor Before Any Offer Strategy

Do not negotiate from list price. Negotiate from true floor.

Floor formula (practical)

Required minimum sale price =

COGS
- marketplace/payment fees
- shipping + supplies
- return risk reserve
- minimum acceptable profit

Use:

If your offer logic starts below this floor, watcher conversion will rise—but profit quality will collapse.

Numeric Example 1: Watchers to Offers Without Margin Damage

Starting point

Listing: vintage jacket

List price: $89.99
Watchers after 5 days: 11
Offers: 0

Cost structure:

COGS: $22
Fees (estimated): $12.30
Shipping + supplies: $10.20
Return reserve: $3.00
Minimum target profit: $14.00

Required minimum: $22 + 12.30 + 10.20 + 3.00 + 14.00 = $61.50

Strategy applied

Keep list at $89.99 for anchor
Auto-decline below $59.99
Counter band from $60 to $76
Auto-accept at $77+

Outcome pattern (next 7 days)

3 offers received
1 closed at $74.00
Net stayed above target floor

Lesson: conversion improved through structure, not panic discounting.

Step 2: Set Counteroffer Ladders by Margin Band

Don’t use one universal counter rule. Use margin bands.

Band A: High-margin items

Wider negotiation room
Counter more aggressively to preserve ASP

Band B: Medium-margin items

Balanced close speed + net protection
One or two counters max

Band C: Low-margin items

Tight counters
Fast yes/no decisions
Avoid long negotiations that consume time profit

Use Negotiation Range Calculator to set category-specific ranges.

Step 3: Use Time-Based Rules (Not Emotion)

Day 0–7 (fresh listing)

Protect margin
Respond quickly, counter with confidence
Avoid unnecessary markdowns

Day 8–21 (active but unsold)

Introduce measured flexibility
Keep floor intact
Adjust one variable at a time

Day 22–45 (aging)

Increase close priority if cashflow needs it
Use bundle/cross-platform strategy before deep cuts

Day 46+

Decide intentionally: liquidate, bundle, or relist upgraded
Do not keep dead listings untouched

For aging policy design, use Inventory Turnover Calculator and read Inventory Turnover for Resellers (2026).

Numeric Example 2: Time-Based Pricing Logic by Listing Age

SKU: mid-ticket electronics accessory

Day 1 list price: $59.99
Floor price: $38.40

Policy:

Days 0–10: accept zone starts at $52+
Days 11–25: accept zone starts at $48+
Days 26–45: accept zone starts at $44+
Day 46+: evaluate bundle or strategic markdown

Result pattern (illustrative but realistic):

Faster close by day 18 at $49 instead of panic drop to $39 on day 6
Net preserved while reducing stale inventory risk

Watcher-to-Offer Copy Frameworks That Actually Help

You don’t need long scripts. You need clarity + confidence.

Counter message template (firm but buyer-friendly)

“Thanks for the offer. I can do $X today based on condition and shipping costs. If that works for you, I can confirm right away.”

Limited flexibility template

“I can’t accept $A, but I can meet at $B and ship next business day.”

Final-range template

“Best I can do right now is $X. If that works, I’ll lock it in immediately.”

Avoid:

defensive explanations
desperate discount language
over-sharing your floor

When to Send Offers Proactively

Proactive offers can unlock watcher conversion, but only if your math is ready.

Send offers when:

floor is already calculated
listing is trust-optimized (photos/specifics/condition clarity)
watcher count indicates real demand

Don’t send offers when:

you haven’t validated floor
you’re trying to rescue a fundamentally weak listing
you already know return risk is high and price cushion is thin

Platform Comparison Check Before You Accept

Sometimes the best response to weak watcher conversion is channel reallocation, not deeper discounting.

Run cross-platform net checks with:

You may discover:

same sale price has meaningfully different net outcomes by platform
certain SKU types convert better elsewhere with less negotiation pressure

Offer Triage System for Faster, Better Decisions

Use this fast triage model for incoming offers:

Tier 1: Above target threshold

Accept quickly
Prioritize speed and certainty

Tier 2: Between floor and target

Counter once with pre-set ladder
Avoid endless loops

Tier 3: Slightly below floor

Counter only if listing age and cashflow justify flexibility

Tier 4: Far below floor

Decline, move on

Your goal is not maximizing every individual sale price; it is maximizing net profit per unit time across inventory.

Mistakes That Destroy Watcher Conversion Strategy

Cutting list price before fixing trust friction
Accepting low offers because watcher count feels urgent
Negotiating without calculated floor
Using one counter rule across all categories
Ignoring listing age and inventory turnover pressure
Treating every watcher as high-intent buyer

Watcher count is useful context—but never a substitute for unit economics.

Weekly Operating System (Do This Consistently)

Monday: Watcher pipeline review

Pull listings with watchers and no offers
Group by category and listing age

Tuesday: Floor and threshold audit

Recalculate 10 highest-risk listings
Update counter ladders

Wednesday: Trust polish

Tighten photos/specifics/condition language

Thursday: Offer execution day

Send structured offers to qualified watcher listings

Friday: Performance review

Track: offers received, accepted price, net vs floor, days-to-sale

This creates consistent conversion gains without uncontrolled margin bleed.

Tools and Next Action

Use this exact stack:

Then apply your updated thresholds to the next 15 watcher-heavy listings.

For deeper related systems:

When watchers finally convert under your rules, you get what matters most: better close rates with controlled net profit.