Daily Paid Acquisition and Website Intelligence Report
An n8n workflow that runs three AI agents every morning - one pulls website analytics from Databox, one pulls paid platform data, a third correlates both to surface cross-channel efficiency insights. Output: a styled HTML email with an efficiency ranking of all active platforms and exactly 3 specific budget recommendations - delivered before your day starts.
~5 minutes setup
Runs on demand
n8n + Databox MCP
How to use it
Step 1
Download the workflow
Click Get it free above. The workflow file downloads to your machine.
Step 2
Import into n8n
Open n8n → Workflows → Import from File, and select the downloaded JSON.
Step 3
Connect Databox
Connecting your Databox account via the MCP node is a quick process that takes less than a minute. You'll need a free Databox account to do this.
Step 4
Schedule and activate
Set the schedule or trigger, then activate. The workflow runs against your live Databox data automatically.
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.
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Common questions
What does the Daily Paid Acquisition and Website Intelligence Report workflow do?
It's an n8n workflow that runs three AI agents every morning to correlate paid platform data with website behavior - something neither a platform report nor a GA4 export does on its own. Agent 1 pulls website analytics from Databox, Agent 2 pulls paid performance across all connected ad platforms, Agent 3 cross-references both to produce a platform efficiency ranking and exactly 3 specific budget recommendations. Output arrives as a styled HTML email before your day starts.
What does it need to run?
An n8n instance, a Databox account with GA4 connected and at least one ad platform connected, and an email address for delivery. Supported ad platforms: Facebook Ads, Google Ads, LinkedIn Ads, Microsoft Advertising, Twitter Ads, TikTok Ads, Snapchat Ads, Reddit Ads, and Pinterest Ads. Instagram Business is also used for website contribution context if connected.
What's in the output?
A daily HTML email covering: website analytics from GA4 including sessions, bounce rate, pages per session, session duration, goal completions, and conversion rate vs the prior 7 days; paid performance across all active platforms with spend, clicks, CTR, CPC, conversions, and CPA; a cross-channel efficiency ranking of all active platforms; and 3 specific budget recommendations generated by the correlation agent based on that day's data.
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.