Marketing agency · PPC · 6 weeks

Agency OS for a PPC Agency Noloco + Airtable + Make running 35 client accounts

Elevate PPC ran 35 client accounts across Google Ads and Meta with 11 people and no centralized system. This Agency OS links every task to client performance data, flags churn signals automatically and gives all 35 clients self-serve visibility.

NolocoAirtableMakeSlackLooker StudioGoogle Ads APIMeta Ads API

Problem and outcome

The problem

35 accounts, 11 people, zero centralized system.

Tasks sat in ClickUp with no link to client performance — decisions were made in the dark. No clear ownership meant work idled for days or got done twice. Churn signals were missed until a client called to cancel. Slack alerts were noisy, onboarding was 100% manual, and analysts were visibly overworked with no PM visibility into capacity.

The outcome

Every task linked to client health. Every risk flagged before it burns.

Every task now carries client context, CPL data and a health score. A real-time R/Y/G health dashboard triggers proactive outreach automatically. One CRM trigger creates 12 onboarding tasks, assigns the team and sends the welcome email. Clients self-serve KPIs in their own portal — and team workload is visible before anyone burns out.

Inside the system

The deployed system, on screen.

agency-os-noloco · live workspace
Agency OS for a PPC Agency — system screenshot
What this showsThe PM dashboard — client health overview with CPL vs target, active alerts and analyst capacity, live from Airtable activity data.
What we built

Six components. One system.

Every transformation project follows the same Nexlyn execution-layer architecture: capture → decide → execute → log.

01
Client health engine
R/Y/G scores computed from CPL vs target, lead volume and last-contact recency — auto-escalations on breach
02
PM dashboard
Overdue escalations, ball-in-court visibility, client health overview and analyst capacity in one screen
03
Director dashboard
Agency-wide spend, health distribution and team utilization for weekly decision-making
04
Client portal
Live KPIs, reports and a comms log per account — clients stopped emailing for updates
05
6 Make automations
Auto-assignment, health alerts, onboarding generator, workload flags, Slack DMs, status digests
06
Ads data pipeline
Google Ads + Meta APIs feeding Airtable via Make — ~4,200 ops/month across all scenarios
Measured outcome

The numbers from the deployed system.

Pulled from the live instance after go-live — not pitch math.

+32%
Task completion rate
−67%
Client response time
−45%
Overdue tasks
−80%
Client status emails
How it works

From inbound event to executed action.

The execution layer that makes the system run end-to-end.

Ingest
Ads · Meta APIs
Score
R/Y/G health
Assign
Auto ball-in-court
Alert
Targeted Slack DMs
Portal
Client self-serve
Balance
Workload flags

The result

Measured 90 days after launch across all 35 accounts: task completion up 32% (61% → 93% on-time), overdue tasks down 45%, internal response time down from 18h to 6h, 100% client health visibility, zero hidden overloads and 80% fewer client status emails — freeing the PM inbox by ~3 hrs/week.

"Every capacity breach is now flagged within one hour of it occurring — analyst overload went from invisible to impossible to miss."

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