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.