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.

Too Many Lowball Offers? Reseller Strategy (2026): Stop Margin Bleed and Convert Serious Buyers Faster

Lowball offers are normal marketplace behavior.

The real problem is not receiving lowball offers. The real problem is when they:

consume your time
push emotional decisions
erode margin discipline
distract from higher-value inventory work

A strong reseller system does two things at once:

Filters low-quality offers quickly
Converts serious negotiators without over-discounting

This guide gives you the operating model.

First Principle: Your Floor Is Not Optional

If you don’t know your floor per SKU (or at least per category), you can’t manage lowball pressure intelligently.

True floor formula

Floor = COGS + fees + shipping/supplies + risk reserve + minimum target profit

Do this first with:

Everything else in this guide depends on this number.

Why You’re Seeing So Many Lowballs

Lowball volume usually rises when one or more conditions exist:

Price anchor is too high vs market context (buyers test for flexibility)
Offer rules are too permissive (buyers learn your floor is soft)
Listing age is high (buyers expect urgency discount)
Category has negotiation-heavy buyer behavior
Trust friction exists (buyers use low offers to offset perceived risk)

So before responding to offers, diagnose what behavior your listing is inviting.

Build a 4-Tier Offer Response System

Tier 1: High-quality offers (near target)

Accept quickly
Protect time and throughput

Tier 2: Good but improvable offers

Counter once with data-backed confidence
Avoid long message loops

Tier 3: Borderline offers (near floor)

Counter only if listing age and cashflow justify
Otherwise decline and move on

Tier 4: Far-below-floor lowballs

Auto-decline
No custom negotiation

Use Best Offer Strategy Calculator and Offer Acceptance Calculator to set these bands.

Numeric Example 1: Lowball Filtering Without Losing Real Buyers

SKU economics

List price: $79.99
COGS: $18.00
Fees: $10.40
Shipping + supplies: $8.20
Risk reserve: $2.40
Minimum profit target: $12.00

Floor calculation: $18 + 10.40 + 8.20 + 2.40 + 12.00 = $51.00

Offer policy

Auto-decline below $50
Counter band: $51–$66
Auto-accept at $67+

Offer sequence

Offer 1: $38 → auto-decline
Offer 2: $54 → counter at $63
Buyer accepts at $60

Net stays viable and time cost stays low.

Numeric Example 2: Emotional Discounting vs Rule-Based Counters

Scenario

A seller receives repeated offers around $45 on a $69.99 listing.

Emotional response pattern:

accepts $45 out of frustration
final net misses target by $8–$12

Rule-based response pattern:

auto-decline under floor
counter within pre-set band
closes at $56 after one counter

Per-sale improvement can look small. At 50+ sales/month, it is material.

Counteroffer Ladder by Listing Age

You should not negotiate the same way on day 2 and day 45.

Days 0–10 (fresh listing)

High confidence counters
Minimal flexibility
Preserve ASP while demand testing

Days 11–25 (active window)

Moderate flexibility
One-step counter ladder
Prioritize quality buyers

Days 26–45 (aging window)

Controlled flexibility increase
Consider bundle strategy
Reassess title/condition clarity before deeper discounting

Day 46+

Decide strategically: markdown, bundle, or channel shift
Don’t keep dead listings unmanaged

Use Inventory Turnover Calculator to define age-based thresholds by category.

Message Scripts That Keep Negotiation Professional

Good scripts reduce friction and protect pricing posture.

Script A: Strong counter

“Thanks for the offer. I can do $X today based on condition and shipping costs.”

Script B: Final-range counter

“Best I can do right now is $X. If that works, I can confirm immediately.”

Script C: Decline with clarity

“I can’t accept $A, but if your budget is near $B, I can work with that today.”

Avoid:

defensive tone
long explanations
revealing your true floor directly

Lowballs Often Mean Listing Quality Needs Work Too

If lowball volume is unusually high for a category, check trust quality:

Are flaws clearly documented?
Are photos confidence-building?
Is condition language precise?
Are shipping terms clear?

When buyers perceive risk, they offer lower to compensate.

Category-Specific Lowball Patterns (Practical)

Fashion

High lowball frequency is normal
Return-risk perception drives aggressive offers
Condition and measurements strongly affect offer quality

Electronics

Buyers negotiate harder when test status is unclear
Better testing proof often improves offer quality more than price cuts

Collectibles

Niche buyers may start low, but close high with confidence-building details
Provenance/completeness notes matter

Bulky/local pickup items

Buyers anchor to “pickup effort” discounts
Clear pickup terms and urgency windows help

Platform Fit Check Before Heavy Discounting

Sometimes repeated lowballs are a channel mismatch signal.

Before major markdowns:

compare net outcomes across likely platforms
compare expected sell-through speed

Use Platform Fee Comparison Tool.

A channel switch can outperform deep discounting on the current platform.

Weekly Lowball Management SOP

Monday: Offer log review

Track by listing:

offer volume
median offer % of list
close % after counter

Tuesday: Floor and ladder recalibration

update 10–20 top negotiation SKUs
adjust thresholds by age/category

Wednesday: Trust quality pass

improve photos/specifics on high-lowball listings

Thursday: Negotiation execution block

batch process offers by tier
enforce one-counter rule where appropriate

Friday: KPI snapshot

accepted price vs floor
conversion after counter
time spent per sale

You are optimizing for net profit per unit time, not maximum message volume.

Mistakes That Turn Lowballs Into Margin Leaks

Accepting because you’re emotionally fatigued
Negotiating manually on clearly non-viable offers
Letting listing age force panic decisions
Ignoring return reserve in final acceptance
Applying identical thresholds across all categories

Tools and Next Action

Use this workflow now:

Then implement these rules across your top 20 negotiated listings this week.

For adjacent playbooks:

The goal isn’t to stop lowball offers from existing. The goal is to make them operationally cheap while converting real buyers at profitable prices.