Free tool
Price monitoring ROI calculator
Model what competitor price monitoring is worth to your business. Enter your revenue, margin, the share of it that is price-comparable and the hours you spend checking competitors by hand, and get net monthly benefit, return on tool cost and payback in days.
The share of revenue where a competitor's price actually affects the sale.
Be conservative. One point on the affected revenue is a realistic starting assumption.
Net monthly benefit
$4,110.10
$49,321.20 a year at these assumptions.
Margin recovered
$3,240.00
On $270,000.00 of affected revenue
Time saved
$1,169.10
6 hrs/week at $45.00/hr
Return on tool cost
1375%
Payback
3 days
How long the tool takes to pay for itself.
This is a model, not a promise. The honest way to use it is to set the margin-lift assumption low, check whether the number still justifies the spend, and then measure the real figure against a holdout group after you switch a tool on.
What this model actually assumes
Vendor ROI calculators are usually built to produce a large number. This one is built to be argued with, so here is exactly what it does. It takes the share of your revenue that sits on price-comparable SKUs, applies a margin-point recovery you choose, adds the labour cost of the manual price checking the tool replaces, and subtracts the subscription. Nothing else.
| Input | What it represents | How to set it honestly |
|---|---|---|
| Monthly online revenue | The base the model works from | Use trailing three-month average, not your best month |
| Revenue on competitively priced SKUs | Where price actually affects the sale | Exclude private label with no comparison, and exclude anything you win on availability alone |
| Margin points recovered | The gain from not over-discounting and from catching competitor rises | Start at 0.5 to 1 point. If the case only works above 3 points, it does not work |
| Manual checking hours | The work the tool removes | Count the real hours someone spends in competitor tabs and spreadsheets each week |
| Fully loaded hourly cost | What that time costs | Salary plus employer costs divided by working hours, not the headline salary rate |
Where the margin actually comes back from
It is worth being specific, because the gain is not one thing. In practice it arrives from four places, and the first two are much larger than teams expect:
- 1Undercutting by more than you needed to. You are the market low by 4% when 0.5% would have won. This is the largest and most consistent source, and it is invisible without competitor data.
- 2Missing competitor price rises. When a competitor raises price and you do not, you leave margin on the table for as long as it takes someone to notice. Automated monitoring closes that window from weeks to hours.
- 3Not chasing prices you should have ignored. An out-of-stock competitor or a one-day flash sale is not a reason to reprice. Rules with the right exclusions stop reflexive matching.
- 4Catching MAP erosion early. For brands, a channel that drifts below MAP drags the whole category down. Early detection is worth more than enforcement after the fact.
How to prove the number afterwards
The only credible way to validate this model is a holdout. Split your catalogue into two comparable groups, run the tool's rules on one and leave the other on your current process, and compare gross profit per unit and conversion after four to six weeks. It is slower than declaring victory and it is the only method that survives scrutiny.
Northline Supply — Overview
Products monitored
110
across 4 categories
Price index
97.1
▲ 0.6vs market avg
Open MAP violations
6
3 critical
Data coverage
98.8%
99.9% target
Aurora H7 Noise-Cancelling Headphones
NL-1000Price position
- Lowest34
- Matched17
- Above market57
- No live data2
Latest alerts
Voltbay cut Aurora H7 by 12%
18 min ago
New MAP violation — DealVault
42 min ago
Harborline feed recovered automatically
3 hours ago
Test the assumption on your own catalogue
Fourteen days, every feature, no credit card. Run it against your real prices and see whether the margin-point number holds up.
Frequently asked questions
Is this ROI calculation realistic?
It is realistic if your inputs are. The model itself is simple arithmetic with no hidden multipliers, and it is deliberately conservative in structure: it counts only margin recovery and labour saved, and ignores harder-to-attribute effects like conversion improvements. The risk is entirely in the margin-point assumption you enter.
What margin recovery should I assume?
Start at half a margin point on affected revenue and see whether the case holds. Teams moving from no competitor visibility at all typically find more than that in the first quarter, mostly from discovering they were undercutting by more than necessary. Teams replacing an existing tool should assume much less, because they already have the visibility.
Should I include the time saved as a real saving?
Only if you would actually redeploy or not hire that time. If the analyst stays and does other work, it is a productivity gain rather than a cash saving. The model shows the two components separately for exactly this reason, so you can discount or ignore the labour line.
How long is payback in practice?
The calculator shows payback in days based on your inputs. What it cannot model is ramp: matching a catalogue, tuning alert thresholds and getting rules right takes a few weeks, so treat the first month as setup rather than as a measurement period.
Does this store anything I enter?
No. It runs in your browser and nothing is transmitted or stored.
Keep reading
- PricingThe subscription figure to put into the model. Published, with nothing gated.
- How to choose price monitoring softwareA scoring rubric and the demo questions worth asking, including of us.
- Dynamic pricing softwareWhat dynamic pricing means for an ecommerce catalogue rather than a hotel.
- Repricing softwareThe rules and guardrails that turn the model into a real gain.
- Margin calculatorGet the margin figures this model depends on.
- Dynamic pricing guideHow to roll out safely and measure with a holdout group.
Stop doing this by hand
This calculator works on data you already have. Price Intelligence collects that data for you every day, and tells you when a source breaks.
Open the live demo →Start monitoring in the next ten minutes
Connect your store, match your catalogue and get your first competitor comparison in the same session.
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