RecipeGoogle Ads
Build a Google Shopping dashboard in Claude
Builds the Get MCP Ads Google Shopping template as a Claude dashboard: Shopping KPIs against an equivalent comparison period, a brand map, top and rising brands, products spending without selling, movers and the full product table.
IntentA live Shopping report by brand, product and product type that shows where the feed earns and where it burns.
- 3
- Steps
- 1
- Tools
- 3
- Rules
- 1
- Failure modes
When to use it
Use it when
- Someone asks for a Shopping dashboard, a product or brand performance report, or a feed review they can keep in Claude.
Do not use it when
- One product's figures: answer in the conversation.
- Hosts without Claude's Dashboard artifact type: answer in the conversation with the matching reports instead.
What it needs first
Required
Preconditions
- The organisation is on Team or Enterprise: ready-made dashboards are not offered on Free or Pro.
- The account is ticked in the dashboard, confirmed via list_accounts.
Inputs
window- Analysis window.Default: last 30 days.
Procedure
In order. Every tool named is one the gateway ships, and links to its reference.
Resolve the client's Google Ads account with Shopping campaigns with list_accounts.
Fetch the google-shopping template for that account.
Create a Dashboard artifact, write every document exactly as given in one batch, read its check, hand over with the lines given.
Decision rules
The observable condition, what it lets you conclude, and what takes the conclusion back.
When
The template is refused with PLAN_REQUIRED
Conclude
Say the dashboards come with Team and Enterprise and that only the account owner changes the plan; answer the question in the conversation meanwhile.
When
The account runs no Shopping or Performance Max with a feed
Conclude
Say the template needs Shopping product data and offer the Performance Max or scorecard dashboard instead.
When
A reader sees a source fail to load
Conclude
Their own Get MCP Ads access decides: check that their connection covers this client's workspace and that their plan includes dashboards before changing the dashboard.
Evidence every conclusion must carry
- Every figure carries its account, metric and window.
- Anything below a readable sample size is reported as unjudged, not as zero.
Where the agent stops
- The readout changes nothing. Any change it motivates goes through Safe Writes: preview, human confirmation, then apply.
How it goes wrong quietly
The cases where the analysis is wrong and still looks right. Read them before trusting a number.
- Editing the template's page or queries by hand loses the provenance of each figure: ask for changes by name instead.
What the answer contains
- 01Readout
- The figures, with windows and accounts named.
- 02Flags
- What deserves a deeper skill or a human decision.