query_attribution_models

A wrapper around query_ad_metrics that fans out across multiple attribution_model values and returns one result set per model. Answers “how does my CPA / ROAS look across attribution models?” without N round-trips.

When to use

“What’s my CPA across attribution models?”
“Does last_touch agree with linear_paid on the top campaigns?”
Any question reasoning about attribution methodology.

For comparing periods (not models), use query_ad_metrics_compare.

Parameters

Accepts every parameter query_ad_metrics does, except attribution_model is replaced by:

Parameter	Type	Required	Description
`attribution_models`	string[]	Yes	1–8 attribution models to query.

Output

{
  "by_attribution_model": {
    "first_touch":           [{ "source": "facebook_ads", "purchase": 412, "roas": 3.82 }],
    "last_touch":            [{ "source": "facebook_ads", "purchase": 487, "roas": 4.51 }],
    "linear":                [{ "source": "facebook_ads", "purchase": 449, "roas": 4.16 }],
    "u_shaped":              [{ "source": "facebook_ads", "purchase": 458, "roas": 4.24 }]
  }
}

Tip

For brand vs prospecting analysis, contrasting first_touch and last_touch usually shows the largest spread. linear and u_shaped sit between the two extremes and are good “balanced” reference points for discussion.

Get Started

Connecting Clients

Tools

Resources

Prompts

When to use

Parameters

Output

Tip

​When to use

​Parameters

​Output

​Tip

When to use

Parameters

Output

Tip