Google Ads Performance Report
A Claude skill that connects to your Databox workspace via MCP and writes a structured Google Ads performance report from live campaign-level data. Pulls spend, conversions, IS, CPA, clicks, and CTR at campaign, ad group, and keyword level — split by brand vs non-brand. Output: a twelve-section HTML report with budget pacing, CPA gauge vs target, 6-month trend charts, campaign rankings, and anomaly flags in under 90 seconds.
- ~5 min setup
- Runs on demand
- Claude + Databox MCP
What it does
Google Ads reporting is typically a manual process — exporting campaign data, building a pivot table, and cross-referencing brand vs non-brand performance separately. This skill does it in a single run from live data.
Connect your Databox workspace, trigger the skill, and it pulls campaign-level data from Google Ads via MCP — spend, clicks, impressions, CTR, CPC, conversions, CPA, conversion rate, and impression share — broken down at campaign, ad group, and keyword level. The first run takes two minutes to configure. Every run after that is one trigger.
The report follows a fixed twelve-section structure: a period recap with the key finding in plain English; an account snapshot with six metric cards and period-over-period deltas; a budget section showing MTD spend vs monthly budget with pacing status, brand vs non-brand spend breakdown, and a 6-month stacked chart by campaign type; a cost vs target section with CPA gauges for blended, brand, and non-brand — green when under target, red when above; 6-month performance trend charts with a dual-axis spend vs conversions view and a tabbed chart switchable by metric and filterable by brand vs non-brand; a brand vs non-brand side-by-side analysis; a campaign table grouped by type with sortable columns and inline delta badges; impression share signals per Search campaign; top ad groups and top keywords by conversions for brand and non-brand separately; a business impact section connecting spend to CRM or revenue metrics if a secondary source is configured; and an anomaly flags section with URGENT / WATCH / INFO severity classification.
On first run the skill asks nine setup questions — conversion goal, CPA target, brand vs non-brand naming convention, conversion tracking reliability, secondary business metrics source, bid strategy, and monthly budget — then saves your configuration permanently into the skill file. Every subsequent run skips setup and goes straight to the data pull.
Who it's for
What's in the package
Security scanned Reviewed by DataboxWhat you need to run this
Claude
Free to download. Required to install and run skills.
Databox account
The skill connects to your data in Databox. The free plan includes all integrations you need to use this skill.
MCP connection
Connector inside your Claude. Takes less than a minute to set up. Full instructions in the setup guide included in the download.
Free to start. Connect your first integration in minutes — no credit card required.
How to use it
Connect any AI tool to your Databox data with Databox MCP.
Databox MCP is the bridge between your live metrics and any AI — Claude, ChatGPT, Cursor, or any client that speaks MCP. One auth, every workspace, no scraping.
No AI hallucinations. Analysis built on a real context layer.
Ask a generic AI to analyse your business performance and it will give you a confident answer. It will also be working from assumptions.
Generic AI doesn't know how your business defines a qualified lead, what your MRR calculation includes, or how you attribute revenue. It fills those gaps with the most plausible interpretation it can find — which is different from the correct one.
The products here run on Databox's data layer — if you choose so. Your metric definitions, your reporting logic, and your live numbers are what the AI reads, pulled straight through Databox MCP instead of uploaded by hand. That's the difference between an output you can share with your team and one you have to verify before you trust it.
Example output
Common questions
Do I need a Databox account to use this skill?
Yes, ideally — and here's why it matters. Point a generic AI at a raw data export and it has to guess what your numbers mean: which conversions count, how you define an engaged session, what a "normal" week looks like. It fills those gaps with the most plausible interpretation it can find, which is often not the correct one. The skill avoids that by reading your data live from Databox through MCP, where your metrics are already standardized — one consistent definition for sessions, engagement, and conversions across your setup. The AI reads what's actually true for your business instead of inferring it, so the report is one you can trust rather than verify. You can technically run it against data you've pasted in by hand, but you lose that context layer and the output is only as reliable as the export. If you don't have an account or data source connected yet, the skill walks you through the setup.
Can I use this with the free Databox plan?
Yes — the free Databox plan includes the integration this skill needs, so you can run it at no cost. The skill itself is also free to download.
Does this use live data from my connected source?
Yes — every run reads your live data directly from Databox through the MCP connection. The report reflects your current data at the moment you run it, not a cached or uploaded snapshot.
Do I need to export data manually?
No — there are no CSV exports and no copy-paste. The skill pulls your data straight from Databox through MCP each time it runs, so the report is always built from your live source.
Can agencies run this for multiple clients?
Yes — run it against each client's data connected in Databox, one account at a time, and you get the same structured weekly brief for every client. It's built to give a consistent report you can take to each client review.
Can I customize the report?
Yes. Before it runs, the skill asks a few onboarding questions — what you want to measure, the time frame, and any context that matters for the analysis — so the report is shaped to your goals from the start. After a run, you can give it feedback to adjust focus, sections, or anomaly thresholds, and reinstall the updated version so your changes carry into future runs.
Linkedin Ads Performance Report
Monthly LinkedIn Ads report with campaign reach, creative performance, and top ads benchmarked against industry norms.
Daily Paid Acquisition and Website Intelligence Report
Runs three AI agents each morning to correlate paid and website data, then emails 3 budget recommendations.
-
-
-
- +6
Paid Ads Cross-Channel Performance Report
One report across all connected ad platforms. Each channel judged against its own funnel goal, not a single standard.
-
-
-
- +2
