Competitor Price Monitor Simulator
Paste a competitor price history to get min/max/avg/latest price stats, fluctuation analysis and a trend chart, plus a suggested selling range based on your cost. Pure front-end simulation with no web scraping.
FreeOnline Tool
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How to Use
- Enter your product cost and the minimum gross margin you want (%, default 30).
- Optionally set a fluctuation threshold (%): an adjacent price change is counted only when its size reaches this value; 0 counts every change.
- Paste the competitor price history into the text area: one price per line, or separated by commas/spaces; currency symbols like ￥ or $ and a trailing 元 are accepted. Unparseable entries are ignored and listed.
- Review the stat cards (sample count, min, max, avg, latest), fluctuation details and the trend chart (min and max points are marked automatically).
- Check the suggested selling range and tips, then click Copy Result to export the analysis text.
Features
- Price stats: sample count, min, max, average and latest price in one view.
- Fluctuation analysis: number of changes, up/down counts, largest and average single change, with an adjustable threshold.
- Trend chart: an SVG line chart of the price series with min and max points marked automatically.
- Suggested selling range: lower = max(cost × (1 + min margin), min price × 0.95), upper = max(average price × 1.1, lower), plus a suggested midpoint and the margin at the lower bound.
- Smart tips: warnings when the competitor average is below your cost-plus floor, or the latest price is below the lower bound / above the upper bound.
- Lenient parsing: newlines, commas and spaces are all accepted as separators, currency symbols are stripped, and invalid entries are ignored and listed.
- Sample data: one click loads a simulated 30-day price series to try the full workflow.
- Pure front-end simulation: no network calls and no scraping of real competitor prices; all data is entered manually by you.
Use Cases
Price research before a new product launch
Paste the competitor price data you collected into the tool to get market min/max/average prices and a suggested selling range to support your launch pricing.
Fluctuation analysis before a sales event
Feed in the last 30 days of competitor price adjustments to see how often and how much they change, and decide whether to adjust your price early.
Evaluate room to adjust your own price
Compare the suggested range against the competitor's latest price with your cost in mind, to see whether there is room to raise prices or whether you are being undercut.
Track competitor prices over time
Paste weekly competitor prices for repeated analysis, building a long-term record of price movements and average trends.
Pricing reviews and internal reports
Copy the stats and suggested range as text and combine it with chart screenshots for pricing review materials backed by data.
FAQ
Does this tool scrape competitor prices from the web?
No. It is a pure front-end simulator: every price is pasted in manually by you, and all statistics and charts are computed locally in the browser. It never connects to the network and never scrapes real price data.
How is the suggested selling range calculated?
The lower bound is the larger of cost × (1 + min margin) and competitor min price × 0.95; the upper bound is the larger of average price × 1.1 and the lower bound. It balances your cost constraint against competitor anchors; it is a simplified model for reference only.
How are fluctuation counts calculated?
Adjacent prices are compared in input order: a change is counted when its size reaches your threshold (0 by default, meaning every change counts), with up and down changes accumulated separately, along with the largest and average single change.
What happens if I type non-numeric content?
Unparseable entries are ignored and listed in a notice (for example abc or -5) without affecting the other valid prices; blank lines are skipped. Currency symbols and a trailing 元 are accepted.
In what order should I enter competitor prices?
Enter them in chronological order so the trend chart and fluctuation stats make time-series sense: the last line becomes the Latest Price, and the chart end point reflects the current market price.