Search relevance

The calculator uses the numbers you enter. With 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD the result is $31.20 | $431.20. This is not an Algolia dashboard.

This is not an Algolia dashboard. Recommendation lift is on Recommendation lift.

Results

Enter data and click Calculate.

How it works

Search relevance in this calculator is margin from bad-query uplift minus tuning. With 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD the result is $31.20 | $431.20.

pot = GMV × bad% × uplift%. val = pot × margin. net = val − tuning. The formula uses uplift and queries.

$31.20 | $431.20 is not an Algolia dashboard. Another set of numbers gives -$132.50 | $67.50, and a further set gives $1,181.60 | $1,881.60. Empty scenario fields do not change the result.

Recommendation lift answers a different question. Substitutions does too. Here 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD leave $31.20 | $431.20.

Type 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD and click Calculate. Two more ready sets sit under the form: -$132.50 | $67.50 and $1,181.60 | $1,881.60.

Other numbers on the same labels move the result. The first example gives $31.20 | $431.20.

Formula

pot = GMV × bad% × uplift%. val = pot × margin. net = val − tuning.

How to use

Type 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD.
Leave the scenario fields empty if you do not have those numbers.
Click Calculate. This set shows $31.20 | $431.20.
The second example under the result is -$132.50 | $67.50, the third $1,181.60 | $1,881.60.
This is not an Algolia dashboard.

Search relevance = $31.20 | $431.20

With 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD the result is $31.20 | $431.20. This is not an Algolia dashboard.

Search relevance: Search relevance is this calculator's result. The first example is $31.20 | $431.20.
uplift: The formula includes uplift. The second example gives -$132.50 | $67.50.
queries: The formula includes queries. The second example gives -$132.50 | $67.50.

Examples

Example 1

70000 GMV USD
22 bad %
8 uplift %
35 margin %
400 tuning USD

$31.20 | $431.20

With 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD the result is $31.20 | $431.20. This is not an Algolia dashboard.

Example 2

30000 GMV USD
15 bad %
5 uplift %
30 margin %
200 tuning USD

-$132.50 | $67.50

With 30000 GMV USD, 15 bad %, 5 uplift %, 30 margin %, 200 tuning USD the result is -$132.50 | $67.50.

Example 3

140000 GMV USD
28 bad %
12 uplift %
40 margin %
700 tuning USD

$1,181.60 | $1,881.60

With 140000 GMV USD, 28 bad %, 12 uplift %, 40 margin %, 700 tuning USD the result is $1,181.60 | $1,881.60.

Related calculators

Common questions

What do you get from 70000 GMV USD, 22 bad %, 8 uplift %, 35 margin %, 400 tuning USD?

The result is $31.20 | $431.20. This is not an Algolia dashboard.

What about the second example?

-$132.50 | $67.50.

What about the third example?

The result is $1,181.60 | $1,881.60.

Is $31.20 | $431.20 an Algolia dashboard?

No. It is the result from the numbers you enter.

Do empty fields change $31.20 | $431.20?

No. Empty scenario fields do not change the result.

How is this different from Recommendation lift?

That calculator answers another question. Here Search relevance stays at $31.20 | $431.20.

Does a comma in the number work?

Yes. A comma and a dot mean the same in a number field.

Why is there a currency in $31.20 | $431.20?

The header label is usually USD. Another currency changes the label, not the amount.

Do 30000 GMV USD, 15 bad %, 5 uplift %, 30 margin %, 200 tuning USD give -$132.50 | $67.50?

Yes. That is the second example under the form.

Knowledge sources

Agent cost is a sketch from your rates. Below are EU, OECD and NIST AI frames, not a contract quote.

Page updated in 2026.