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Performance Max Asset Auditor

Score your PMax asset coverage against the recommended counts — and see which gaps are quietly limiting where Google can serve your ads.

Inputs

Asset counts

Required: 3 · Recommended: 5

Required: 1 · Recommended: 5

Required: 2 · Recommended: 5

Required: 1 · Recommended: 2

Required: 3 · Recommended: 15

Required: 0 · Recommended: 5

Required: 0 · Recommended: 4

Signals & controls

PMax coverage score

10 / 100

Severely limited. Many asset slots are missing — PMax cannot serve into key inventory.

Findings

  • Short headlines (≤30 chars)

    0 provided — below required 3. Combined with long headlines for responsive layouts.

  • Long headlines (≤90 chars)

    0 provided — below required 1. Used for placements where short headlines do not fit.

  • Descriptions (≤90 chars)

    0 provided — below required 2. More descriptions = more rotation options for the algorithm.

  • Logos (square + landscape)

    0 provided — below required 1. Square 1:1 + landscape 4:1 lets PMax serve into more inventory.

  • Marketing images (1.91:1 + 1:1)

    0 provided — below required 3. PMax mostly fills inventory with images. Variety here is critical.

  • Portrait images (4:5)

    0 provided — meets minimum (0) but recommended is 5. Vertical placements (Discover, mobile) underperform without 4:5 assets.

  • Videos (≥10s, multiple aspect ratios)

    0 provided — meets minimum (0) but recommended is 4. PMax auto-generates videos from images if you supply none — quality is poor. Provide your own.

  • Audience signals attached to asset group

    Customer match lists, in-market segments, custom audiences. Speeds up learning by weeks.

  • Search themes added (10–25 per group)

    Tells PMax which queries you want to compete for, beyond auto-detection.

  • Account-level negative keywords applied

    PMax does not respect campaign-level negatives by default. Account-level is the only reliable filter.

Need creative + tracking together?

We pair PMax asset rebuilds with conversion + Enhanced Conversions setup so the algorithm has both creative coverage and clean signals to learn from.

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