Beyond the MarTech Stack : How Leaders Should Rethink MarTech Strategy - with Jon Goh
Marketing technology has expanded dramatically over the past decade. What once consisted of a few tools such as CRM systems and email platforms has evolved into a sophisticated ecosystem including customer data platforms, marketing automation tools, analytics engines, personalisation technologies, and increasingly AI-driven marketing capabilities.
Yet despite heavy investment in MarTech stacks, many organisations continue to struggle with familiar challenges: fragmented data, overlapping tools, unclear operating models, and difficulty demonstrating measurable business value.
In the latest episode, I spoke with Jonathan Goh , Head of MarTech at Medibank, about the current state of MarTech Operations and what leaders must do differently to unlock value from their marketing technology investments.
The discussion highlighted an important reality: the biggest challenges in MarTech are rarely technological — they are organisational and leadership related.
MarTech Operations Is Now the Engine of Customer Experience
Modern MarTech Operations is no longer limited to executing marketing campaigns.
Today it plays a central role in engineering the end-to-end customer experience. This involves orchestrating multiple systems that capture, analyse and activate customer data across marketing channels. Project 116
In practical terms, MarTech Operations sits at the intersection of:
Marketing strategy and campaign execution
Data platforms and analytics
Enterprise technology architecture
Customer experience design
Rather than acting as a support function, MarTech teams increasingly serve as the operational backbone of modern marketing organisations.
The Hidden Problem: “Leadership Debt”
One of the most compelling ideas discussed in the episode is the concept of “leadership debt.”
Organisations often invest rapidly in new technologies but delay critical leadership decisions related to:
organisational design
operating models
capability development
cross-functional collaboration
Over time these deferred decisions accumulate into what Jon describes as leadership debt, creating uncertainty and inefficiencies across teams. Project 116
The result is a paradox that many organisations recognise:
MarTech spending increases
Technology capabilities expand
Yet ROI and utilisation decline
Technology evolves faster than the organisation’s ability to adapt.
The Operating Model Problem
Another key insight is that many organisations are attempting to run AI-era technologies on pre-internet operating models.
Traditional hierarchical decision structures were designed for slower business environments. In contrast, modern marketing systems operate in real time, driven by continuous streams of customer data and AI-generated insights.
This mismatch creates friction.
To unlock the value of modern MarTech platforms, organisations need decentralised teams, faster decision loops and stronger collaboration across marketing, technology and data functions.
Why Culture and Trust Matter in MarTech
Technology alone cannot create high-performing teams.
The conversation highlighted the importance of organisational culture and trust in enabling MarTech success.
High-performing teams typically share several characteristics:
strong psychological safety
openness to experimentation
rapid learning cycles
decentralised decision making
Without trust, organisations fall back into rigid approval processes and bureaucratic governance structures, slowing innovation.
In the world of modern marketing technology, trust becomes a critical operational capability.
The Rise of AI in Marketing Operations
Artificial intelligence is rapidly transforming marketing technology ecosystems.
Capabilities such as:
- Predictive analytics
- Generative content creation
- Intelligent campaign optimisation
- AI agents and copilots
are reshaping how marketing teams operate. However, the biggest shift may not be technical — it may be cognitive.
Marketing professionals increasingly need to move from writing code and configuring systems to orchestrating outcomes through AI-driven interfaces and intelligent tools.
In other words, marketing technology is becoming less technical and more conversational, while still requiring a deep understanding of data, customer context and business outcomes.
The Persistent Challenge of Data Silos:
Despite advances in data platforms, many organisations still struggle with fragmented customer data.
This is not always a technology problem.
Often, data silos persist due to operational constraints, governance policies and privacy requirements. In many cases, organisations already possess sufficient data to generate insights — but lack the time or focus to extract value from it.
The key shift for MarTech leaders is to focus less on achieving the perfect “single view of the customer”, and more on deriving actionable insights from the data available today.
Measuring the Success of MarTech Operations:
Traditional marketing metrics such as email open rates or campaign volumes no longer reflect the real impact of MarTech.
Modern MarTech teams must align their performance metrics with business outcomes, including:
- Revenue contribution
- Customer retention and churn reduction
- Customer satisfaction metrics such as NPS
- Overall customer experience improvements
The most mature MarTech organisations are those that position themselves not as campaign execution teams, but as drivers of financial and customer outcomes.
A Final Thought for MarTech Leaders:
The evolution of marketing technology will continue to accelerate — particularly as AI becomes embedded across customer engagement platforms.
But technology alone will not determine success. The organisations that thrive will be those that align technology investment, operating models, leadership capability and organisational culture. Or as Jon summarised during the conversation:
Stay curious. Keep learning. And keep engaging with the broader MarTech community.
Because in a rapidly evolving field like marketing technology, curiosity may be the most valuable capability of all.