Free creative analysis tool

Find your winning and risky creatives

Paste or enter creative-level metrics to get a practical scorecard that leads with Winner, At risk, and Needs more data instead of overclaiming a universal score.

Free tool

Live scorecard

Creative Performance Scorecard

Starter rows

Edit a few baseline rows here, or skip to the paste box if you already have an export ready.

Result

Add creative rows

Start with the editable starter rows below or paste a larger table to compare multiple creatives side by side.

What this calculator does

Compares creative rows without pretending the result is a universal creative score.
Highlights which rows are strong, which are at risk, and which are still too sparse to trust.
Explains the call underneath so the scorecard stays useful and defensible.

Formula / methodology

Creative read = row completeness + derived CTR/CPA checks + peer-relative efficiency signals

The scorecard favors trustworthy labels over a pseudo-scientific headline number.

CTR, conversion support, CPA, and spend pressure all contribute to the final assessment.

When the row does not have enough stable signal, the tool explicitly says Needs more data.

Example inputs and outputs

Two-creative comparison

Input: Creative A: 500 spend, 100 clicks, 8 conversions; Creative B: 700 spend, 70 clicks, 3 conversions

Output: A likely Winner, B likely At risk

Sparse row

Input: Creative C missing conversions and CPA while peers have them

Output: Needs more data with explanation

Common mistakes

Treating the scorecard as universal truth instead of a decision aid.
Mixing currencies across rows.
Pasting conflicting CTR or CPA values without checking the source export.

Status-first output

The scorecard is designed to help you decide what to scale, cut back, or investigate further without overclaiming scientific precision.

Winner

The row is showing stronger efficiency signals than its peers.

At risk

The row is weaker than peers or spending inefficiently.

Needs more data

The row lacks enough stable signal for a harder call.

FAQ

Why not show one universal score at the top?

Because a strong-looking universal score can feel more precise than the input quality actually supports. The MVP leads with clearer status labels instead.

What happens if my CTR or CPA conflicts with the raw data?

The tool warns about the mismatch and uses the derived metric for comparison when the conflict is material.

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