I don't just automate.I make marketing automation work efficiently for the ROI.
Is your company growing, your marketing budget increasing — yet profits are not keeping up? That may be an architectural problem with your marketing automation stack. I diagnose the situation and fix it within weeks, implementing what is necessary to scale faster with higher ROI.
Does your company's scaling kill its ROI?
You don't need to be an automation expert or CEO to recognise these signals. Growing costs without regularly growing profits are not just marketing problems — they are stack architectural and KPI measurement problems.
Company scales the process — but not the profit
Your company grows, marketing budgets increase, new tools are added — yet revenue doesn't follow. The automation stack becomes increasingly complex to operate, and every change takes longer to implement than the last.
Tool costs grow. LTV and conversion don't.
The biggest cost driver is limit overages and licence fees for tools you keep adding. Marketing scales communication volume without measuring RFM segmentation effectiveness. More than 40% of contacts haven't engaged in months — and LTV improvement is still just on the to-do list.
Sales or CS operate like before scaling
Customer data lives across several disconnected systems. Sales receives a lead with no context — no clicks, no content consumed, no current intent. Every conversation starts from zero and treats every contact the same way. There is no customer journey experience map.
Hiring more people changes nothing
No junior hire — regardless of their credentials — can fix a broken architecture. When ROI falls and costs rise, the problem is not headcount. It's the decision-makers' mental model and the systems that can't keep pace with the demands of scalable processes.
The bridge between automation and high ROI doesn't build itself.
I'm not a data scientist. I don't need to be. Here's what I understand about the tech vs. operational relationship inside an AI & marketing automation stack — and what you should understand too.
| I understand technically | I translate it into |
|---|---|
| Marketing automation stack architecture (ActiveCampaign, HubSpot, SALESmanago) | Tool selection and implementation that fits your actual process — so you pay for what you use, not what sounds impressive. |
| Prompt engineering & AI workflow design | Repeatable automation flows that reduce manual work and scale without adding headcount. |
| CRM/API/webhook integrations | Scalable lifecycle automation built with specific measurement of what contacts do, when, why and how often. |
| iPaaS orchestration (Make, Zapier) | Cross-functional process flows that survive handoffs and surface real engagement signals. |
| Data platform limitations | Honest tools roadmaps — no over-engineering, no vendor lock-in, just the features the company's processes actually need. |
| GenAI capabilities and constraints | Realistic solutions for implementing AI in internal process environments to make scaling more efficient. |
I implement the tools knowing their features — and their limits.
Not just as a user. I evaluate, integrate and push these platforms beyond their default configurations.
Seen enough?
If your automation stack is costing more, and more — let's find out why.
Three sectors. Three real systems. Measurable results.
My 7+ years of experience building cross-sector automation can improve your company’s workflows in any economic condition. I am currently building a live AI-powered marketing and sales ecosystem from scratch, carrying full P&L responsibility and making decisions that have to deliver.
B2C Financial Services
Financial Services, B2C
- →Designed lifecycle architecture for 1.2M contacts
- →5 communication channels integrated via API/webhooks
- →+25% lead qualification speed in 6 months
Not a campaign. An organizational capability — documented and designed to scale.
I co-authored a 255-page workbook that teaches this exact translation to business leaders — because I had to do it myself first.
Thought LeadershipMy automation framework with AI is published.
Anyone can use it.
In December 2025 I published a 255-page workbook for business leaders. Not a guide to ChatGPT — but a structured methodology for process automation with AI: from readiness audit, through technology selection, to deploying a full AI-powered funnel. Written as a reflection of how I actually work.
📘 View on Amazon“A ready-to-implement plan for any organization. I highly recommend it.”
I don't just present tool's features. I leave the room with decisions and tasks schedule.
I sat on the other side of the table. That is why I don’t just present findings; I walk out of the room with agreed priorities and a clear path forward.
For fast-growing companies right now, I recommend implementing tools that don't just accelerate or scale communication — but make it more personalised and intuitive for the recipient. That is where sustainable ROI growth actually begins.
I know the best solution today may be the wrong one in six months — so I build more efficient automation flows with that assumption and show your team how to optimise continuously.
I do understand ROI, TCO and investment prioritization — so I optimize marketing automation stack with P&L responsibility — not just with "next steps to discuss".
After audit, I built The AI Automation Optimization Plan™ — enables real transformation steps, new tools implementation and my self-engagement map, not just knowledge transfer.
“As a Customer Success Manager at ActiveCampaign, I have the privilege of working with many talented specialists, and Magdalena truly stands out among them. Supporting her during the Helpfind implementation was an exceptionally positive experience. She possesses a deep technical understanding of marketing automation, yet what is truly remarkable is her ability to communicate complex issues with clarity and a collaborative spirit. Even when faced with inevitable roadblocks, Magdalena’s approach was always solution-focused and positive. She is an exemplary automation specialist, and it is fantastic to see her achieve such great results. It was a pleasure.”
Every system I build is designed to outlast the project.
Five steps. Repeatable. Scalable. Business-first.
Organizational Audit
Current-state mapping first. AI deployed on top of chaos only creates more chaos.
Use Case Prioritization
Ranked by impact and complexity. Not a wish list — a defensible, business-aligned backlog.
Phased Roadmap
A staged plan calibrated to data maturity and organizational capability.
Enablement
AI literacy for every role. Answering the real question: 'what does this mean for my job?'
Governance & Scale
Documentation, ownership, continuous improvement loops. Built to run without the consultant.
This is the methodology I documented in a published workbook — so organizations can replicate it without me.
Scaling fails when teams stop talking to each other.
Cross-departmental alignment is harder than the technology itself — and top managers know that very well. That is why I work cross-functionally with Product, Sales, RevOps and IT — not alongside them, but as part of the same decision-making layer.
Cross-functional with Product, Sales, RevOps and IT — not alongside them
SALESmanago integrated with CRM across app/web/email/SMS flows
Multilingual, multiregional HubSpot Enterprise with dynamic content and lead scoring
The hardest part of AI enablement in a large organization isn't the technology. It's getting everyone to agree on what to build first — and then keeping them aligned through the build.
Ready?