Ad Operations Case Study

From Manual Ops to Automated Machine

How Growaton helped Ad Target replace manual ad operations with a fully automated platform — cutting operational overhead by 70% and increasing campaign throughput 5x in 24 weeks.

www.adtarget.com

70%

Less Manual Work

5x

Campaign Throughput

24w

Full Implementation

4

System Layers Built

The Challenge

An ad business running on manual processes

Manual

Campaign setup, creative production, and reporting done by hand

Siloed

Data scattered across platforms with no unified view of operations

Slow

Days to launch a campaign that should take hours

Capped

Growth limited by team bandwidth, not market opportunity

The Story

A scaling problem disguised as a staffing problem.

Ad Target had built a profitable ad operations business — but every new campaign meant more manual work. Creative production, campaign setup, performance monitoring, budget allocation, and reporting were all done by hand across disconnected tools.

The team was spending more time on operations than on strategy. Every new client meant hiring more people to push buttons, not think smarter. The business was growing, but the margins were shrinking because the operation didn't scale.

Ad Target needed a partner who could think in systems — not just optimize campaigns, but rebuild the entire operational backbone so the business could scale without linearly adding headcount.

4-Layer Platform Architecture

A complete system designed to automate the full ad operations lifecycle.

Database Layer

Centralized data architecture connecting all operational systems

Production Layer

Automated content and ad creative factory

Distribution Layer

Multi-channel ad serving and placement automation

Monitoring Layer

Real-time performance tracking and alerting

Our Approach

Four phases over 24 weeks — from mapping the chaos to closing the loop.

1
Weeks 1–4

The Table

Mapped the entire operation and built the data foundation everything else runs on.

  • Operational audit across all ad verticals
  • Database architecture design and implementation
  • Data model unifying campaigns, creatives, and performance
  • Integration connectors for existing ad platforms
2
Weeks 5–8

The Factory

Built the production pipeline that turns briefs into live campaigns without manual assembly.

  • Automated creative production workflows
  • Template system for ad variations at scale
  • QA automation for compliance and brand consistency
  • Staging environment for campaign pre-flight checks
3
Weeks 9–16

Automation

Replaced manual processes with intelligent automation across the full operational chain.

  • Rule-based campaign launch automation
  • Performance-triggered budget reallocation
  • Automated reporting and anomaly detection
  • AI-assisted copy and creative iteration
4
Weeks 17–24

Scale Loop

Closed the feedback loop so the system learns, optimizes, and scales itself.

  • Self-optimizing bid and budget algorithms
  • Cross-campaign performance learning engine
  • Automated scaling of winning creatives and audiences
  • Continuous monitoring with proactive alerting

What We Automated

Every layer of the operation was rebuilt to run with minimal manual intervention.

Creative

Templated production at scale

Launch

Rule-based campaign deployment

Budgets

Performance-triggered allocation

Reporting

Real-time dashboards and alerts

The Transformation

Before Growaton

Manual

Campaign Setup & Launch

Days

Time to Launch a Campaign

Siloed

Data Across Platforms

Linear

Headcount = Capacity

After Growaton

Automated

Rule-Based Campaign Deployment

Hours

Brief to Live Campaign

Unified

Single Data Platform

5x

Throughput, Same Team Size

Drowning in Manual Operations?

If your team spends more time pushing buttons than thinking strategically, let's talk about building the system that runs itself.

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