Context and goals
- Weekly and monthly reports consumed 22 hours/week.
- Content calendars and client updates were manual and error-prone.
- Leadership wanted reliability, speed, and zero off-brand sends.
What we built
Reporting pipeline: Data pulls, QA checks, and Looker exports on schedule.
Content scheduling: Approved posts auto-scheduled; failed QA triggers alerts.
Client comms: Status emails from templates, reviewed before send.
Alerts: Anomaly detection and approval gates before publishing.
Stack
- n8n/Make for orchestration; BigQuery/Sheets for data; Looker Studio for exports.
- Slack and email for approvals and alerts; Google Calendar for content slots.
- Eval checks for KPIs and formatting before delivery.
Results
- 22 hours/week returned to the team.
- QA and approvals cut bad sends to zero.
- Faster delivery: reports now arrive Monday 9am reliably.
Automate reporting, content scheduling, and client comms - with guardrails that keep your brand safe.
FAQ
What about data quality?
We added QA checks, anomaly alerts, and human approvals before send.
Can we reuse the setup?
Yes - templated workflows adapt to new clients and channels.
Do you support other tools?
Yes - HubSpot, GA4, Adobe, Meta, LinkedIn, and custom data sources.
How fast is implementation?
2–3 weeks for first reports; extensions for content and comms follow.