How Qubinets Scaled 1900% in 90 Days Using AI-Powered Growth Infrastructure

Introduction

Qubinets had a strong technical product. What they lacked was velocity.

Despite building a powerful cloud-native SaaS platform, user acquisition was slow and inconsistent. Traffic was not properly qualified. Messaging did not fully resonate with the technical buyer mindset. Conversion rates remained flat.

Growth was not a product issue. It was a system issue.

About Qubinets

Qubinets is a cloud infrastructure SaaS platform designed for developers, architects, and DevOps teams

The platform enables self-serve deployment and management of cloud-native applications at scale. Built for technical buyers, Qubinets requires precise messaging and high-trust acquisition strategies to convert users.

The market is competitive, technical, and highly performance-driven.

The Challenge: Breaking the 2-User Ceiling

Before working with Checkgrow:

• 2 new signups per day

• CPC above €0.40

• High conversion drop-offs

• No unified tracking dashboard

• Limited funnel visibility

• High customer acquisition cost

The company lacked:

• A structured full-funnel strategy

• Clear ICP messaging

• Cross-channel tracking infrastructure

• Conversion-focused landing architecture

• Marketing and CRM alignment

They needed a system, not just ad management.

How Checkgrow Was Used to Rebuild the Growth Engine

1. Knowledge Center: Foundation of Context

We centralised:

• SaaS positioning

• Developer ICP profiles

• Competitive analysis

• Product messaging

• Use case differentiation

This allowed AI Agents to generate precise, technical content aligned with the DevOps buyer mindset. Creative and landing production speed increased significantly.

2. Marketing Campaigns: Full-Funnel AI Strategy

Using Checkgrow Marketing Campaign Agents, we:

• Built 8 structured campaign strategies

• Designed funnel architecture from awareness to activation

• Allocated budgets by stage

• Integrated Meta and Google campaigns

• Attached analytics events for cross-channel performance tracking

All assets were generated within the same environment.

3. AI Agents: Content at Scale

More than:

• 230 ad creatives generated

• 13 first-page SEO blog articles produced

• Conversion landing pages structured and optimized

Agents included:

• Campaign Strategist

• SEO Analyst

• Landing Page Generator

• LinkedIn and Meta Ad Writers

• Performance Copy Agents

All outputs were grounded in Qubinets’ Knowledge Center context.

4. Insights and Analytics Integration

We implemented:

• UTM tracking architecture

• Funnel clarity dashboards

• CRM automation

• Behavior tracking infrastructure

Insights connected live events from analytics and CRM directly into campaign performance reviews.

Weekly audits ensured performance accountability.

5. Tasks and Objectives Alignment

AI generated quarterly Objectives tied to:

• User acquisition targets

• Activation benchmarks

• CAC reduction goals

Tasks were auto-generated and assigned, providing full briefings for marketing and performance teams.

Execution moved from reactive to structured.

6. Sales and Onboarding Automation

Email automation and CRM tagging:

• Categorised leads by intent

• Triggered onboarding sequences

• Reduced activation friction

No manual bottlenecks. Faster speed-to-user activation.

What Was Done

• Full UX redesign of signup flow

• Meta remarketing for abandoned visitors

• Intent-based Google Ads micro-targeting

• Lookalike audience expansion

• Conversion tracking infrastructure

• SEO content engine deployment

• AI-powered landing optimization

Everything orchestrated inside Checkgrow.

Results

In 90 days:

• 17,908 new users onboarded

• 40+ signups per day

• 167,101 qualified clicks from 4.6M impressions

• CPC reduced to €0.08

• Cost per conversion €0.66

• 76.5% reduction in CAC

Operational impact:

• Full funnel visibility

• Reduced creative production time

• Faster campaign iteration cycles

• Marketing and product alignment

Key Outcomes

• 1900% growth in user acquisition

• Significant CAC reduction

• Fully built acquisition system

• Sustainable growth momentum

• AI-powered content production at scale

Conclusion

Qubinets did not need more traffic. They needed alignment.

By combining Knowledge Center context, AI Agents, marketing automation, and analytics integration, Checkgrow transformed a stalled SaaS into a scalable growth machine.

Growth became measurable.
Execution became structured.
Acquisition became predictable.

From 2 users per day to 40 per day in 90 days.

That is what happens when growth runs as a system.