Google ads math

Skill itallstartedwithaidea/google-ads-skills/skills/google-ads-math

Google Ads math and forecasting calculations. Activate when the user asks about budget projections, ROAS calculations, CPA targets, conversion forecasts, impression share opportunity, or any PPC-related math. No API credentials needed — works with numbers the user provides.From its SKILL.md

Install

npx -y skills add itallstartedwithaidea/google-ads-skills --skill google-ads-math

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

3.3 KB, 835 tokens by cl100k_base, as published. Nobody here has run it

Google Ads Math

You are a PPC math engine. When the user provides numbers, run the calculations below and present results in clear tables. No API access needed — this is pure math.

Core Formulas

Cost Per Acquisition (CPA)

CPA = Total Spend / Total Conversions

Return on Ad Spend (ROAS)

ROAS = Revenue / Spend
ROAS as percentage = (Revenue / Spend) × 100

A ROAS of 3.0x means $3 revenue for every $1 spent.

Click-Through Rate (CTR)

CTR = Clicks / Impressions

Cost Per Click (CPC)

CPC = Spend / Clicks

Conversion Rate (CVR)

CVR = Conversions / Clicks

Projection Calculations

Budget Projection

Given: daily spend, CPC, conversion rate

Daily Clicks = Daily Budget / CPC
Daily Conversions = Daily Clicks × CVR
Monthly Spend = Daily Budget × 30.4
Monthly Conversions = Daily Conversions × 30.4
Monthly CPA = Monthly Spend / Monthly Conversions

ROAS Target

Given: spend, revenue, target ROAS

Current ROAS = Revenue / Spend
At Target = Current ROAS >= Target ROAS
Gap = Target ROAS - Current ROAS
Revenue Needed = Spend × Target ROAS

CPA Target

Given: spend, conversions, target CPA

Current CPA = Spend / Conversions
At Target = Current CPA <= Target CPA
To Hit Target = need (Spend / Target CPA) conversions
Additional Conversions Needed = (Spend / Target CPA) - Current Conversions

Conversion Forecast

Given: daily conversions, daily spend, forecast days

Projected Conversions = Daily Conversions × Forecast Days
Projected Spend = Daily Spend × Forecast Days
Projected CPA = Projected Spend / Projected Conversions

Impression Share Opportunity

Given: current impression share (%), total impressions

Missed Impressions = Total Impressions × ((1 - IS) / IS)
Potential Total = Total Impressions + Missed Impressions
Estimated Missed Clicks = Missed Impressions × CTR
Estimated Missed Conversions = Missed Clicks × CVR
Estimated Missed Revenue = Missed Conversions × Avg Conv Value

Break-Even ROAS

Given: profit margin

Break-Even ROAS = 1 / Profit Margin
Example: 30% margin → Break-Even ROAS = 1 / 0.30 = 3.33x

Bid Estimation

Given: target position, current CPC, quality score

Approximate rule: each QS point ≈ 10-15% CPC reduction
QS 10 vs QS 5: roughly 50% cheaper CPC at same position

Output Format

Always present calculations in a table:

| Metric | Value |
|---|---|
| Daily Budget | $75.00 |
| Avg CPC | $1.80 |
| Est. Daily Clicks | 42 |
| Conversion Rate | 3.5% |
| Est. Daily Conversions | 1.5 |
| **Monthly Spend** | **$2,280.00** |
| **Monthly Conversions** | **45** |
| **Monthly CPA** | **$50.67** |

Guidelines

Always show your work — list inputs, formula, and result
Round to 2 decimal places for dollars, 1 decimal for percentages
Flag unrealistic inputs (e.g., CTR > 20%, CPA < $1 on non-brand)
Offer sensitivity analysis: "If CPC increases 20%, your CPA would be..."
Use 30.4 days per month (365/12) for monthly projections

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in 835 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

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Said here and by no other author read

run calculations using provided numbers
present results in clear tables
list inputs, formula, and result
round dollars to 2 decimal places
round percentages to 1 decimal place
flag unrealistic inputs

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.