Free tool

Data pricing calculator

Data pricing made concrete: start from a base rate, apply volume tiers and multipliers you control, and get an asking price and range.

Updated Nov 7, 2026

Records

Base price per 1,000

Assumption: your starting rate for the plainest version of this data. Use a quote you have seen, or your own figure.

Freshness

Assumed multipliers. Pick a preset or type your own.

Exclusivity

Exclusive deals shut out other buyers, so they cost more.

Licence length

Longer use rights, higher price.

Depth and quality

Fill rates, verification and enrichment.

Cost to deliver

Minimum margin

Range ±

Suggested asking price

$26,000

Raised to your cost floor: the multipliers came out below it.

Negotiating range

$19,500 to $32,500

Asking price ± your range.

Volume-tiered base

$7,000

2,500,000 records

Combined multiplier

×1.5

Cost floor

$26,000

cost × (1 + margin)

Effective price per 1,000

$10.40

Runs entirely in your browser. Nothing you type is sent to us or stored.

Runs in your browserBuilt and maintained by the DataBroker team

How to use the data pricing calculator

Step 1
Set the base
Enter the number of records and your base rate per 1,000 for the plainest version of the data.
Step 2
Choose the terms
Pick freshness, exclusivity, licence length and depth from the presets, or type your own multipliers.
Step 3
Check the floor and range
Add your delivery cost and minimum margin. The tool raises the price to that floor if needed and shows a negotiating range.

What the result looks like

The dataset pricing calculator with 2,500,000 records at a $4 base per 1,000, monthly updates (×1.5) and a fully exclusive licence (×3): a combined multiplier of ×4.5, a suggested asking price of $31,500, a negotiating range of $23,625 to $39,375 and $12.60 per 1,000 records. — The same dataset sold fully exclusive: the multiplier now lifts the price above the $26,000 cost floor. The other inputs are the calculator's own starting values, which are examples, not market rates.

What is data pricing?

Data pricing is setting what a buyer pays to use a dataset, usually a rate per record or per period, adjusted for volume, freshness, exclusivity, licence length and quality, and never below what delivery costs.

More about the data pricing calculator

How the price is built

1
Volume tiers
The first million records are charged at the full base rate, the next nine million at half, and anything above ten million at a quarter. Big buyers expect a lower unit price.
2
Multipliers
The tiered base is multiplied by freshness × exclusivity × licence length × depth.
3
Cost floor
Delivery cost × (1 + minimum margin). If the multiplied price is lower, the floor is used instead.
4
Range
The asking price plus and minus your range percentage, to plan where you open and where you stop.

Example with the starting figures: 2.5 million records at four dollars per thousand gives a tiered base of $7,000 (one million at full rate, 1.5 million at half). Monthly updates multiply it by 1.5, so the list price is $10,500.

Delivery costs $20,000 with a thirty percent margin, a floor of $26,000, so the suggested asking price is $26,000. The tool tells you when this happens: it means the base rate is too low for the work involved.

Assumptions you control

Every multiplier and tier is an assumption written into the tool so the arithmetic is visible. None is a market rate, and we do not publish prices from deals. Overwrite them with what your buyers actually accept.

Factor	Preset multipliers	Why it moves price
Freshness	Snapshot ×1, quarterly ×1.25, monthly ×1.5, daily ×2	Updates cost money to produce and keep data useful
Exclusivity	None ×1, one field or region ×2, full ×3	Exclusivity stops you selling to others
Licence length	1 year ×1, 3 years ×1.6, perpetual ×2	Longer rights, more value to the buyer
Depth	Basic ×0.8, standard ×1, enriched ×1.3	Fill rates, verification and extra fields

Pricing models it does not cover

Per-query or API pricing, where buyers pay per call rather than per record.
Revenue share, where the seller takes a percentage of what the buyer makes from the data.
Bundles of several datasets with one price.

Each can be estimated with the same idea: find a unit, set a base rate, and adjust it for the terms. The calculator handles the most common case, a licence priced by volume.