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Marketing Technology GrowthMatic (B2B SaaS) USA & Canada 5 months

AI-Powered Marketing Automation Platform

GrowthMatic, a mid-market B2B SaaS company, was spending 30+ hours per week manually creating, scheduling, and reporting on marketing campaigns across LinkedIn, email, and Google Ads.

47hrs
Hours Saved Per Week
−78%
Campaign Launch Time
+140%
Client Capacity Increase
+34%
Average Campaign CTR Improvement
+$180K
Monthly Revenue Growth (6mo)
4 months
Payback Period

The Challenge

GrowthMatic, a mid-market B2B SaaS company, was spending 30+ hours per week manually creating, scheduling, and reporting on marketing campaigns across LinkedIn, email, and Google Ads. Their team of 4 marketers was overwhelmed managing campaigns for 80 active clients, leading to inconsistent output quality, delayed campaign launches, and a 3-month backlog of client requests. The CEO needed to double the client base without doubling headcount.

Our Solution

We built an AI-powered marketing automation platform that generates campaign content using fine-tuned GPT-4o models trained on the client's historical high-performing campaigns, schedules and publishes across all channels via unified API integrations, monitors performance in real-time, and automatically adjusts budgets and targeting based on ML-driven optimisation rules. The platform handles the entire campaign lifecycle from brief to final performance report — with humans approving the strategy and reviewing the output, but no longer doing the execution work.

Platform Screenshots

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Screenshot: Campaign Dashboard — multi-channel performance overview with real-time metrics

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Screenshot: AI Content Generator — showing generated LinkedIn post with brand voice controls

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Screenshot: Client Portfolio View — all 140 clients with campaign status indicators

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Technical Architecture

Next.js 15 frontend with real-time dashboard and campaign approval flows

Python FastAPI backend with async task processing via Celery and Redis

Fine-tuned GPT-4o model hosted on Azure OpenAI Service for brand-consistent content generation

Vector database (Pinecone) storing successful campaign patterns for RAG-based content generation

Multi-channel integration layer: LinkedIn API, Google Ads API, Meta Ads API, Mailchimp API

ML optimisation engine using historical performance data to auto-adjust bids and targeting

PostgreSQL database with multi-tenant architecture (one schema per client organisation)

AWS S3 for asset storage with CloudFront CDN for fast media delivery

Technologies Used

Next.js 15Python / FastAPIGPT-4o (Azure OpenAI)PineconePostgreSQLRedisCeleryAWS (S3, CloudFront, ECS)LinkedIn APIGoogle Ads APIMeta Marketing APIMailchimp APIStripeTerraform

Project Timeline

1

Discovery & Design

3 weeks
  • Stakeholder interviews with marketing team and clients
  • Process mapping of current campaign workflow
  • Data audit of historical campaigns for model training
  • Technical architecture design and vendor selection
  • UI/UX design for campaign management dashboard
2

Core Platform Development

6 weeks
  • Multi-tenant backend infrastructure setup
  • Authentication, permissions, and client management
  • Content generation engine with GPT-4o fine-tuning
  • Campaign approval workflow and content editor
  • Stripe billing integration
3

Channel Integrations

5 weeks
  • LinkedIn Campaign Manager API integration
  • Google Ads API integration
  • Meta Marketing API integration
  • Mailchimp email campaign integration
  • Asset management and media library
4

ML Optimisation Engine

4 weeks
  • Historical performance data pipeline
  • Bid optimisation algorithm development
  • Audience targeting recommendation engine
  • A/B testing framework
  • Performance reporting and analytics dashboard
5

Testing & Launch

2 weeks
  • UAT with 5 pilot clients
  • Load testing for concurrent campaign processing
  • Security audit and penetration testing
  • Team training and documentation
  • Phased rollout across full client base

We went from a 3-month campaign backlog to same-week delivery. The AI doesn't just automate — it actually improves the quality because it's drawing on every successful campaign we've ever run. We've taken on 60 new clients in 6 months without a single new hire on the marketing team.

Sarah Chen, CEO, GrowthMatic

Long-Term Impact & ROI

GrowthMatic grew from 80 to 140 active clients within 6 months of launch without expanding their marketing team. Campaign quality scores improved as the AI learned from performance data. The platform has since been white-labelled and sold to two of GrowthMatic's agency partners, creating a new revenue stream worth $40K/month.

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