Buy Now or Wait?
Paste any Amazon URL or ASIN. We check our 90-day price history and tell you whether today is a good time to buy — or whether to wait.
Amazon prices on high-ticket items move more than most people realize — typically 10-25% across a 90-day window even with no obvious sale event. That's real money on a $300 espresso machine or $800 mattress, and most shoppers buy on the day they decided to buy, not the day with the best price. Knowing where today's price sits in the 90-day distribution turns "buy whenever" into "buy on the right day."
This tool gives you a buy / wait signal based on percentile in the 90-day window. We record the daily price for every tracked product and compute the average, min, and max for the trailing 90 days. If today's price is 15%+ below the average, that's an "excellent" buy signal — historically a top-quartile day. Within ±5% of average is "fair." Above the average is "wait." The bands are calibrated against the empirical distribution of prices, not arbitrary thresholds.
We currently cover ~500 high-ticket products across 18 categories where price volatility meaningfully affects the buying decision (kitchen appliances, smart home, audio, ergonomics, outdoor cooking). If your ASIN isn't tracked, we'll suggest similar products from our catalog. The system runs daily against Amazon's Product Advertising API, so prices are at most 24 hours old. For comparison: traditional price trackers like CamelCamelCamel cover all of Amazon but depend on volunteer reports; we control data quality for our catalog at the cost of breadth.
Paste an Amazon URL to start.
Works for any product we track. Example: Ello Miri tumbler, Anova sous vide, Litter-Robot 4.
How this works
How does this work?
We track daily prices for products in our catalog and keep 90-day history. When you paste an ASIN, we compare the current price to that history. Below 90-day average = good time to buy; above it = wait. The system runs a daily price-check workflow against Amazon's Product Advertising API, so prices are at most 24 hours old.
What if my product isn't in your catalog?
We currently track ~500 high-ticket products across 18 categories. If you paste an ASIN we don't track, we'll let you know and suggest similar products from our catalog. Coverage expands every week — we prioritize categories where price volatility actually matters (smart home, kitchen appliances, audio gear).
How accurate are the signals?
"Excellent" = 15%+ below 90-day average. "Good" = 5-15% below. "Fair" = within ±5%. "Wait" = 5%+ above. Caveat: very new products have less history to compare against, so the signal is noisier for products released in the last 30 days. After 60+ days of history, the percentile is reliable.
What about Black Friday and holiday sales?
If a product saw a big drop during Black Friday and that's in the 90-day window, the average is pulled down — making today's price look less impressive. For deep holiday sales, expect "excellent" ratings during the event window itself. Outside the window, the average normalizes within 2-3 weeks.
Why use 90 days instead of all-time low?
All-time-low pricing is misleading because it usually represents a one-time clearance, a Prime Day, or a pricing error that was quickly corrected. 90-day average represents the realistic distribution of prices you might actually find. The signal tells you "is this price in the bottom quartile of what real shoppers have paid recently."
Does it work for variations (size, color)?
Each Amazon variation has its own ASIN, so the signal is per-variation. The black 12oz mug has different pricing than the white 16oz mug. Paste the URL with the exact variation selected to get the right history. The ASIN parser handles all standard Amazon URL formats.
How is this different from CamelCamelCamel?
CamelCamelCamel covers all of Amazon but the data is opaque and depends on user reports. We cover a curated catalog of high-ticket products where we control the data quality — daily checks, no missed days. CamelCamelCamel is better for breadth; we're better for accuracy on the products we track.
What's the right time of year to buy?
Category-dependent. Tech (TVs, laptops, audio): November (Black Friday, Cyber Monday). Outdoor / patio: end of season (August-September, Jan-Feb for next season). Kitchen appliances: October-December. Fitness: January (gear, not memberships). Use our daily signal rather than guessing — it accounts for current pricing.