Skill Claude

Paid Ads Cross-Channel Performance Report

A Claude skill that connects to your Databox workspace via MCP and writes a structured cross-channel paid ads performance report from live ad platform data. Adapts to all connected ad sources. Output: a nine-section interactive HTML report covering blended performance, budget spend, cross-platform efficiency, per-platform efficiency, campaign rankings, audience signals, and a data-grounded recommendation — in under 90 seconds.

~5 minutes setup

Runs on demand

Claude + Databox MCP

Paid Ads Cross-Channel Performance Report

How to use it

Step 1

Download the skill

Click Get it free above. The skill file downloads to your machine.

Step 2

Install in Claude

Open Claude Desktop → Settings → Skills → Install from file. Select the downloaded file.

Step 3

Connect Databox

The skill prompts you to connect your Databox account using the connector. This takes less than a minute, and you'll need a free Databox account.

Step 4

Trigger on demand

Type the trigger phrase in Claude — listed in the setup guide. The skill runs against your live Databox data and returns the output.

More about it

Example report


What does the Paid Ads Cross-Channel Performance Report do?

Works with
Claude and Databox
Requires
Databox account + Databox MCP
Data source
Facebook Ads, Google Ads, LinkedIn Ads, Microsoft Advertising, TikTok Ads
Output
HTML report
Best for
Growth teams, agencies, founders
Setup time
~5 minutes

Running paid media across Google Ads, Meta, LinkedIn, Bing, and TikTok creates isolated datasets. Each platform uses its own attribution model, measures conversions differently, and defaults to different date ranges. Getting a unified cross-channel view that supports a real budget decision typically means pulling exports and building a comparison manually.

This skill reads live data from all connected ad platforms in your Databox workspace and writes a structured nine-section report in a single run — evaluating each channel against its own funnel goal, not a single universal standard. An awareness campaign is not judged on CPA. A search campaign is.
The report covers: a blended snapshot with total spend, impressions, clicks, and conversion trends across all platforms; a budget spend section with a 6-month stacked chart and per-platform gauge vs budget; cross-platform efficiency table comparing every channel side by side; per-platform efficiency with eight standardized metric cards per platform and analyst signal blocks; campaign rankings with consistent columns across all platforms; audience and reach signals including Meta frequency, Google impression share, and IS loss type; cost vs target caps visualized as gauge charts; a cross-platform efficiency model; one priority recommendation; and a watch list.

The output is a self-contained interactive HTML file — sortable tables, tabbed 6-month trend charts with platform filter, and hover tooltips on all gauges. Designed for weekly or monthly use before any budget review or client call.
On first run the skill confirms which sources are connected and saves your business context — conversion goals, CPA targets, CAC threshold, funnel role per platform, and budget. Every subsequent run is a single trigger.


Who it’s for

Heads of growth and operators

You run the numbers on Monday. This replaces the 20 minutes of tab-switching with a brief that is ready before your standup.

Agency analysts

Run it for each client. Get a consistent read on every account in the time it used to take to review one.

Founders doing their own analytics

You know what your metrics are. This tells you what they mean and what to do about it.


What’s in the package

Security scanned Reviewed by Databox

cross-channel-paid-ads-report-setup-guide.pdf

MCP connection steps, configuration options, example run

cross-channel-paid-ads-report.skill

Install file for Claude


Report structure

Every run produces a structured report with these sections:

  1. Blended Snapshot
  2. Budget Pacing
  3. Per-Platform Efficiency
  4. Campaign Rankings
  5. Audience and Reach Signals
  6. Cross-Platform Efficiency
  7. One Recommendation
  8. Watch List

What 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 14-day trial and all paid plans include 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.

Don't have Databox yet?

Free to start. Connect your first integration in minutes — no credit card required.

Built on Databox

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.

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.

Databox MCP hub connected to OpenAI, Claude, Cursor and n8n — one MCP integration links every AI tool to your live data

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Common questions

What does the Paid Ads Cross-Channel Performance Report do?

It's a Claude skill that connects to your Databox workspace through MCP and writes a unified paid media report across all connected ad platforms. Instead of pulling performance data from each platform separately, you get a blended view of spend, efficiency, and conversion performance - with per-platform breakdowns and CPA gauges against your configured targets.

What data sources does it need?

Any combination of Facebook Ads, Google Ads, LinkedIn Ads, TikTok Ads, and Microsoft Advertising connected to your Databox account. The skill reads whichever platforms are connected and adapts the report structure accordingly.

What's in the output?

A report covering: a blended snapshot of total spend, clicks, conversions, and cost per conversion vs prior period; CPA and CAC gauges against your configured targets; MTD budget pacing per platform; a side-by-side cross-platform efficiency table with spend, CTR, CPC, CPA, and CPM; and per-platform breakdowns for each connected channel.

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.

Do I need a paid Databox plan to run this skill?

The skill is free to download. Running it requires the Databox MCP connection, which isn't included on the forever free plan. Every new Databox account starts with a 14-day free trial that includes everything the skill needs — after that, any paid plan covers it, including the Analyst plan.

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.