Workflow n8n

Morning Marketing Summary

An n8n workflow that connects to Databox via MCP each weekday at 7 AM, pulls spend, revenue, ROAS, and conversions across all connected channels, compares current vs. prior period, and delivers a plain-English AI-generated briefing to Slack and email.

~5 minutes setup
Runs on demand
n8n + Databox MCP

Get it free

See example output

Built by Atidiv

Atidiv is a data-driven outsourcing partner that embeds expert teams to help brands scale smarter and cut costs. Across 20+ industries, they combine human expertise with automation to run paid media, analytics and reporting, finance and accounting, customer experience, and data engineering.

Works with: n8n
Requires: Databox account + Databox MCP
Data source: Any source
Output: HTML report
Best for: Growth teams, agencies, founders
Setup time: ~5 minutes

What it does

Most marketing teams start the day checking four or five platforms to piece together what happened yesterday. This workflow eliminates that. It triggers on a schedule every weekday at 7 AM, connects to Databox via MCP, and auto-discovers every marketing channel connected to your account — Google Ads, Meta, TikTok, LinkedIn, YouTube, Reddit, Snapchat, Microsoft Advertising, X Ads, Pinterest, and email platforms.

For each connected channel, it pulls spend, revenue, ROAS, clicks, CTR, impressions, conversions, conversion rate, CPC, and CPL for the last 7 days and the prior 7 days. An AI agent then runs a structured analysis: the big picture (total spend, revenue, blended ROAS, and how they moved), channel-by-channel performance ranked by ROAS and revenue, what changed and by how much, anomalies and delivery issues, and the single most important insight with a specific recommended action.

Output is two simultaneous deliverables: a plain-English Slack message under 250 words with headline, top-line numbers, what’s working, what needs attention, and concrete next steps; and an HTML email with channel-by-channel performance tables and color-coded period-over-period changes. Disconnected channels are silently skipped.

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.

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

morning-marketing-summary-workflow-setup-guide (1).pdf MCP connection steps, configuration options, example run
morning-marketing-summary.json

How to use it

Download the workflow
Click Get it free above. The workflow file downloads to your machine.
Import into n8n
Open n8n → Workflows → Import from File, and select the downloaded JSON.
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.
Schedule and activate
Set the schedule or trigger, then activate. The workflow runs against your live Databox data automatically.

What you need to run this

n8n

Free and open-source. Self-host it or run it on n8n Cloud to import and execute the workflow.

Databox account

The workflow reads your live metrics through Databox MCP. The free plan includes the integrations you need to get started.

MCP connection

Connector inside your n8n. 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.

Start free with Databox →

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.

Learn more

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

Example output

Common questions

What does the Morning Marketing Summary workflow do?

It's an n8n workflow that connects to Databox via MCP every weekday at 7 AM, auto-discovers all connected marketing channels, pulls key metrics for the current and prior 7-day period, runs AI analysis to surface what changed, flag anomalies, and identify the most important action, and delivers two outputs: a plain-English Slack summary and a full HTML email with channel-by-channel tables. No dashboards to open, no manual input.

What does it need to run?

An n8n instance, a Databox account with at least one marketing channel connected, an OpenAI or compatible LLM API key, and a Slack workspace or Gmail account for delivery. Supported channels: Google Ads, Meta/Facebook Ads, LinkedIn Ads, TikTok Ads, YouTube Ads, Reddit Ads, Snapchat Ads, Microsoft Advertising, X Ads, Pinterest Ads. The workflow discovers which are connected at runtime — you don't need all channels active.

What's in the output?

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.