Reference Scenario: Automated End-of-Month Client Reporting for Digital Agencies (35h/Month Projected)
Reference scenario (not a client): a multi-API aggregation pipeline using n8n, PostgreSQL, and Next.js, applied to a typical digital agency, is projected to remove 35 hours per month of manual reporting and deliver client decks automatically on Day 1.
In the typical agency, 4 performance marketers spend the first 5 business days of every month logging into 6 disjointed ad platforms (Google, Meta, LinkedIn, GA4, Shopify) to manually copy-paste and assemble monthly client slide decks.
An estimated £28,000/year in analyst wages spent on copy-paste reporting, plus churn risk when reports slip past the first week of the month.
API fragmentation and lack of a deterministic aggregation pipeline: off-the-shelf BI tools charge high per-seat connector fees and produce generic, unbranded dashboards clients ignore.
Deterministic n8n orchestration pipeline fetching spend, conversions, and ROAS across all ad APIs nightly into PostgreSQL, powering a branded web dashboard with automated PDF generation delivered on Day 1 of every month.
End-to-end month-end client reporting automation: centralized multi-channel ad data and automated delivery of custom client decks without touching a spreadsheet or slide template.
Projected: 35 hours/month saved (£28,000/year in analyst capacity) and Day-1 delivery.
Projected: 35 hours saved every month and 100% of client reports delivered automatically on Day 1 at 08:00.
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