pricechecker.ai
Margin Exposure Calculator
For retailers doing $20M+ online

Your competitors changed prices while you were reading this.

The biggest pricing opportunities happen when competitors move price or run out of stock — and most retailers never see it in time. Estimate what that blind spot costs you each month.

Amazon repricing eventsProfitero analysis [1]2.5M+ / day
Walmart & Best Buy repricingProfitero, same study [1]~50K / mo
Shoppers who compare prices firstShopify, 18,000 consumers [3]83%
Intended purchases lost to a stockoutHarvard Business Review [5]~50%
Your inputs — 30 seconds
Web revenue only. Your top sellers typically drive ~80% of it.
Not your full catalogue — just the lines that drive sales. Coverage saturates: past ~1,500 lines, extra SKUs add little revenue.
Typical detection lag: ~2 days (coverage gaps, breakage, maintenance).
Your estimated exposure
Revenue exposed to stale pricing per month
$0
Sales at risk while a competitor undercuts you and you haven't seen it yet.
Margin missed on competitor stockouts per month
$0
Price-up opportunities — like the client who raised 7% when a rival sold out, and conversion held.
Annual opportunity if you saw it same-day
$0
≈ 0× a typical pricechecker subscription
Get my real number
The pricechecker platform — across all clients
23.8M
Products tracked
16.7%
Margin increased
99.9%
Match accuracy, guaranteed
11.9
Hours saved per week

“The market insights delivered by the tool have been instrumental in shaping our pricing strategies and policies.”

Eduardo Simas — Hunter Douglas

We show the math. Tear it apart.

You price products for a living — we're not going to hand-wave at you. Every assumption is deliberately conservative, sourced, and editable. Change any of them and the numbers above recalculate.

Assumptions & sources →
Undercut events per SKU, per month
Amazon reprices 2.5M+ times a day; even Walmart and Best Buy each made 50K+ changes in a single month [1]. 71% of Amazon marketplace products change price multiple times a day [2]. We assume your competitors undercut each top SKU just twice a month — deliberately tiny. Scales with competitors tracked; total exposed days are capped at one month.
Shoppers who defect while you're undercut (%)
83% of shoppers compare prices before buying [3] and 78% will buy from a cheaper seller over the brand [4]. We assume only 15% actually leave during your blind window.
Revenue covered at 500 watched SKUs (%)
The 80/20 rule retailers already run on: top lines drive most revenue. Watching more SKUs covers more revenue with diminishing returns, saturating at 95% — exposure scales with the revenue those lines carry, not the raw SKU count.
SKUs with a competitor stockout each month (%)
Average out-of-stock rates have held near 8% per retailer for decades [5], and roughly half of products stock out at least once a year [6]. With 4 competitors watched, ~28% of SKUs see a rival outage at any moment — we assume 16%/month. Scales with competitors, capped at 40%.
Actionable stockout window (days)
The average stockout lasts ~35 days [6]. We only count 5 of those days as an actionable price-up window.
Price uplift on competitor stockout (%)
A pricechecker client raised price 7% on a fast-moving SKU when its competitor went out of stock — and conversion held, because market demand stayed intact. We assume same-day data catches 80% of these windows; without stock tracking, most are never seen.
pricechecker detection lag (days)
Continuous intraday checks, AI-collected and human-verified before they hit your dashboard. The "recoverable" share is what same-day visibility wins back.
Typical subscription / month ($)
Flexible, rolling 30-day pricing based on SKUs × competitor sites × check frequency. No long contracts — the price adjusts the moment your subscription does. Entered in your selected currency.
Why your current tool misses this
01

Walmart marketplace pricing. Different shoppers see different prices, sellers and delivery options at the same time. We resolve the real price customers can actually buy at — even as it keeps changing, down to ZIP code.

02

Home Depot's hidden promotions. Discounts sit behind store locations, delivery choices and cart-level promos — not the product page. We surface the true competitor price others scrape right past.

03

Stock as a pricing signal. A competitor being cheaper means nothing if they're out of stock. One client found a rival only had inventory in limited ZIP codes — and raised prices regionally instead of cutting nationally.

Free 2026 report

How to Prepare Retail Pricing for 2026

Retailers who win in 2026 won't do it by cutting prices — they'll do it by mastering pricing intelligence. Trends, analysis and practical takeaways from pricechecker's UK and US retail dashboards.

By Joanna Foyle — Retail Pricing Strategist
  • The five-year pricing view across electronics, FMCG and DIY/trade
  • The promotion trap — why deeper discounts aren't lifting volume
  • AI-led pricing: simulate competitor moves before you react
  • Brands as direct competitors: DTC undercutting and MAP slippage
  • The 2026 pricing checklist, including competitor stockout monitoring
No spam — one PDF, straight to your inbox.

Source data

Every external statistic on this page traces to a published source. Model assumptions sit deliberately below what these sources report.

  1. Profitero (2013), "Amazon.com Makes More Than 2.5 Million Price Changes Every Day." Amazon implemented 2.5M+ daily price changes during November 2013, vs. 52,956 (Best Buy) and 54,633 (Walmart) across the entire month. profitero.com · also reported by Retail Week
  2. Profitero via Retail Dive (2018), "Algorithms feeding unsustainable price cuts online." 71% of products sold by third-party sellers on Amazon's marketplace change price multiple times per day; marketplace sellers reprice every two days on average. retaildive.com
  3. Shopify Holiday Retail Report (2024). Survey of 18,000 consumers across nine countries: 83% compare prices to find the best deal before purchasing. retailtimes.co.uk
  4. Wiser Solutions consumer survey (1,200+ shoppers). 96% plan to compare prices before purchase decisions; 78% would rather buy from a third-party seller at a lower price than direct from the brand. wiser.com
  5. Corsten & Gruen, Harvard Business Review (2004), "Stock-Outs Cause Walkouts." Study of 600+ retail outlets: retailers lose nearly half of intended purchases when an item is out of stock, costing ~4% of annual sales; the companion worldwide research found average out-of-stock rates near 8%. hbr.org
  6. Opensend (2025), inventory stock-out statistics roundup. 51% of products experienced at least one stock-out period in a year across major ecommerce platforms; the average stock-out lasts ~35 days; 69% of online shoppers switch to a competitor when an item is unavailable. opensend.com
  7. pricechecker.ai platform data. 23.8M products tracked, 16.7% margin increased, 11.9 hours/week saved, 99.9% guaranteed match accuracy, Hunter Douglas testimonial, and the +7% client stockout outcome. pricechecker.ai