To split a shopping campaign by brand in Google Ads with Claude or ChatGPT, connect your Google Ads account to PaidSync.ai and ask the assistant to subdivide a product partition by brand, which creates one child group per value plus an everything-else group. Google requires the everything-else group, so the tool adds it for you. The change returns as a preview first.
Splitting product groups lets you bid differently on brands or categories. Claude reads the tree, then splits a node:
list_product_partitions lists every subdivision and unit in a Shopping ad group with its cost, results, bid and parent.subdivide_product_partition splits a partition by brand, item ID, product type, channel, condition or custom label, with a child for each value plus the everything-else partition.list_product_partitions only reads your account. subdivide_product_partition changes it.
| Tool | What it does |
|---|---|
| list_product_partitions | Shows the current product tree |
| subdivide_product_partition | Creates the child groups |
Pick the dimension that matches how your margins differ. Brand is common, and custom labels let you group by margin or season. The everything-else group keeps unlisted products serving, so watch its bid.
These steps use Claude to split a shopping campaign by brand. PaidSync.ai also works in ChatGPT, and the prompts are the same.
Register at paidsync.ai and connect Google Ads with Google's own sign-in screen. It needs no developer token and no Google Cloud project. Pick the Google login that manages the account you will split a shopping campaign by brand in.
Open Claude's connector directory, add PaidSync.ai and sign in. Ask "list my Google Ads accounts", then pick the account where you will split a shopping campaign by brand.
Ask for the product partitions of the ad group and find the node you want to split.
Tell the assistant the dimension, such as brand, and the values, such as the three brands you want to bid on separately.
Ask it to run subdivide_product_partition with a bid. Read the preview, approve it, and list the tree again.
List the partitions again and check there is one child per brand plus the everything-else group. Compare cost and conversions per brand after a couple of weeks.
Use these two prompts to split a shopping campaign by brand, in this order.
list_product_partitions only reads your account, so the lookup before you split a shopping campaign by brand changes nothing.subdivide_product_partition runs as a preview by default, so you see the change before it is applied.subdivide_product_partition runs.subdivide_product_partition can show a preview but not apply it. Tokens are encrypted at rest.subdivide_product_partition is applied, the change is logged, on a best-effort basis, with a before-and-after result.Every Google Ads tool PaidSync.ai offers is on the Google Ads MCP server page, including the tools used to split a shopping campaign by brand.
In Google Ads, open the Shopping ad group, select the product group and subdivide it. With PaidSync.ai, ask Claude or ChatGPT to subdivide it by brand, and it previews the new groups first.
Brand, item ID, product type, channel, condition or a custom label.
Yes. PaidSync.ai connects Google Ads to ChatGPT and to Claude, and the same tools run in both, so you can ask it to split a shopping campaign by brand the same way you would in Claude.
A connected Google Ads account, the Shopping ad group, the partition to split, a dimension and the values for it.
PaidSync.ai is free for 15 tasks a month with no card, enough to split a shopping campaign by brand and see the result. Pro starts at $99 a month. See pricing.
PaidSync.ai runs 630+ tools across 14 ad and analytics platforms. Connect your accounts once and use them in the AI assistant you already work in.
Get Started Free Book a Demo