Google Ads Product Performance

Fetch product-level performance metrics from Google Ads Shopping and Performance Max campaigns

What does the Google Ads Product Performance node do?

The Google Ads Product Performance node fetches product-level performance from Google Ads — one row per (campaign, product) over the selected period — for Shopping and Performance Max campaigns. It returns impressions, clicks, cost (in account currency, not micros), conversions, conversion value, and the derived metrics CTR / CVR / ROAS, alongside product identifiers (item ID, title) and, optionally, the full taxonomy (brand, product type L1-L5, the 5 Merchant Center custom labels).

The node is sourced from GAQL’s shopping_performance_view. Aggregation is always at the (campaign, product) level — segments.date is intentionally never projected, which collapses the result set N× compared to a per-day breakdown.

Common uses:

• Feed a product scoring / labelization pipeline (Product Hero-style)
• Rank top / bottom SKUs by ROAS or CVR
• Join performance with the merchant catalog downstream
• Investigate why a specific custom-label cohort (e.g. custom_label_1 = "heroes") is over- or under-performing

For campaign-level or keyword-level reports, use Google Ads Campaign Reports instead.

Quick setup

Configuration parameters

Required fields

Optional fields

Externalization toggles

What does the node output?

A JSON object with a rows array. Each row is one (campaign, product) combination summed over the period.

{
  "customerId": "1234567890",
  "startDate": "2026-01-01",
  "endDate": "2026-01-31",
  "rows": [
    {
      "campaignId": "1111111111",
      "campaignName": "Shopping FR",
      "productItemId": "sku-123",
      "productTitle": "Red Sneakers",
      "impressions": 1000,
      "clicks": 100,
      "cost": 150.5,
      "conversions": 10,
      "conversionsValue": 500.0,
      "ctr": 0.1,
      "cvr": 0.1,
      "roas": 3.32
    }
  ],
  "meta": { "currencyCode": "EUR", "rowCount": 1 }
}

With include_segments: true

Each row gains the product taxonomy and the 5 Merchant Center custom labels:

{
  "productBrand": "Nike",
  "productTypeL1": "Apparel",
  "productTypeL2": "Footwear",
  "productTypeL3": "Sneakers",
  "productTypeL4": "",
  "productTypeL5": "",
  "customAttribute0": "season-spring",
  "customAttribute1": "heroes",
  "customAttribute2": "",
  "customAttribute3": "",
  "customAttribute4": ""
}

Usage examples

Example 1: Product scoring pipeline

Google Ads Campaigns → Google Ads Product Performance → LLM (rank/label) → Google Sheets Writer

Configuration:

{
  "customer_id": "{{customerId}}",
  "campaign_ids": "{{campaignIds}}",
  "date_range": "last_30_days",
  "include_segments": true,
  "use_variables": true
}

Example 2: Drill down on a custom-label cohort

Restrict the result to the SKUs your Merchant Center feed has tagged as “heroes” in custom_label_1, and pipe the rows into a Sheet for inspection.

Google Ads Product Performance → JSON Path Extractor → Google Sheets

Configuration:

{
  "customer_id": "1234567890",
  "campaign_ids": "9999999999",
  "date_range": "last_30_days",
  "include_segments": true,
  "custom_label_filters": [
    { "slot": 1, "value": "heroes" }
  ],
  "custom_label_filter_combinator": "AND"
}

Example 3: Multi-value OR on the same slot

Same as above, but pull both “heroes” and “villains” together. Same-slot OR is rewritten to GAQL IN (...).

Configuration:

{
  "custom_label_filters": [
    { "slot": 1, "value": "heroes" },
    { "slot": 1, "value": "villains" }
  ],
  "custom_label_filter_combinator": "OR"
}

Best practices

Common issues

Empty rows array even though the customer + campaign look right

The selected campaign is probably not a Shopping or Performance Max campaign (shopping_performance_view only returns rows for those). Pick a Shopping / PMax campaign or check the campaign type in the Google Ads UI.

`OR` toggle disabled with a red hint

GAQL can only express OR when every filter targets the same custom-label slot. Either switch to AND, or keep all filter rows on a single slot. The save button is blocked with a toast otherwise.

Custom label filters section greyed out

The filter sub-section is gated by Include Segments — tick the segments checkbox to enable it. Reason: filtering on a custom_attribute* slot forces it into the GAQL SELECT, which only makes sense once you’ve opted into segments.

A SKU appears on multiple rows when segments is on

This indicates that one of the segment dimensions (brand, product type, a custom label) changed value mid-period for that SKU in the merchant feed. GAQL groups by every projected segment, so the SKU is split across rows — one per attribute combination. The aggregated totals are still correct when summed; this is a feed-volatility signal worth investigating.

The selected campaign disappears from the dropdown

Campaign was archived or renamed in Google Ads after the workflow was saved. Re-open the settings, the validation effect clears the stale ID and you can re-pick a valid one.

A column I expected is missing from the output rows

The column is unchecked in Core Fields (or Segment Fields if it’s a segment). Re-open Settings and tick it. Workflows saved before May 2026 default to the 6-key core projection on first re-open — re-tick the columns you used to rely on.

Related nodes