marTech stack rationalisation: rewiring marketing infrastructure into a growth engine

According to a study by Adobe, enterprises today often run more than 130 overlapping marketing technology applications, yet nearly half of their marketing SaaS licences sit idle or underused. At the same time, global MarTech spending reached 131 billion dollars in 2023 and is projected to climb toward 215 billion dollars by 2027.

MarTech stack rationalisation is the process of turning this sprawl into a tighter, aligned system that supports, rather than undermines, your business goals.


Why is MarTech a cost centre?

Most organisations treat MarTech as a series of line‑item purchases rather than a single, integrated system. Different teams buy tools independently, which results in licences that stack up without clear ownership and campaigns that depend on multiple overlapping platforms.

When enterprises rationalise their MarTech stack, they cut licence sprawl, reduce technical debt, and simplify integration. This consequently lowers maintenance and support costs. Those savings can fund higher‑value projects, such as AI‑driven decisioning or advanced attribution.


The four fault lines holding MarTech back

MarTech stack rationalisation must be planned around the four fault lines that stop MarTech from becoming a true growth engine.

  • Lack of executive sponsorship: Marketing uses MarTech, finance pays for it, and IT inherits it, so no single leader owns its ROI.
  • Complex stack: Excessive tools and integrations mean a simple campaign test can take days instead of hours.
  • Poor measurement: Organisations track opens, clicks, and impressions well but struggle to connect MarTech to revenue, customer lifetime value, or efficiency gains.
  • Talent gap: The technology outpaces the skills of the teams, so organisations underutilise the tools they already own.

What happens when you rationalise your stack

MarTech optimisation involves aligning each piece to a specific outcome. One global financial institution rationalised its multiple MarTech systems that facilitated its 400 processes and achieved a 36% cut in its application portfolio, 34% reduction in legacy application code, and 16% reduction in costs.

Another large technology firm compressed its advertising and engagement tools from more than 40 solutions into 5 core platforms, saving over 120 million dollars per year. These examples show that MarTech stack rationalisation can free up working capital while also improving speed and reliability.


How the stack should support the customer journey

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Practitioners still need enough tools to cover the full customer journey, from awareness to retention. A typical journey spans five stages: awareness, consideration, decision, retention, and advocacy, and each stage relies on different types of MarTech. When these tools are well‑connected, marketers can track and influence behaviour across the entire buying cycle.

A simplified MarTech stack might look like this:

  • One primary CRM for leads and accounts
  • One analytics layer for insight and attribution
  • One engagement or conversational‑platform family for chat, messaging, and events
  • A small set of specialised tools for SEO, content, and programmatic media

This approach keeps the stack lean while still letting teams experiment and iterate at pace.


Turning MarTech into a growth engine

MarTech must evolve from a cost centre to a growth engine. Global enterprises are starting to adopt multi‑dimensional ROI frameworks that link MarTech investments directly to business‑outcome metrics such as revenue, efficiency, and total cost of ownership.

When organisations treat MarTech this way, they can justify higher spend on AI‑driven decisioning, real‑time personalisation, and predictive lead scoring, because the business outcomes measure returns rather than campaign metrics. MarTech stack rationalisation makes this shift possible by clarifying what belongs inside the stack, what can be retired, and what is worth adding at scale.


The role of IT in MarTech stack rationalisation

IT teams own data architecture, identity resolution, governance, and integration, so they help ensure that personalisation, segmentation, and cross‑channel journeys work reliably. They also help design renewal and governance processes that prevent new tools from entering the stack without clear ownership and expected ROI. This collaborative stance means marketing departments can experiment with AI‑driven content, predictive analytics, and chat‑based engagement while IT keeps the environment secure, compliant, and scalable.


MarTech optimisation and talent

MarTech optimisation is also a talent and operating‑model challenge. Many organisations struggle because their teams know how to run campaigns, yet they lack deep competence in data‑driven optimisation, AI‑driven decisioning, or complex attribution models. Continuous training, AI‑assisted copilots, and clear governance reduce this gap, so the stack is both technically sound and human‑ready. Rationalisation is about simplifying the environment so that skilled people can focus on insight and experimentation instead of on integration and troubleshooting.


How can Infosys BPM help with MarTech stack rationalisation?

MarTech stack rationalisation is an ongoing discipline that requires regular reviews, usage tracking, and clear ROI assessment as priorities evolve.

Infosys BPM digital interactive services support this shift by helping design measurement frameworks and operating models that tie MarTech choices to customer‑centric results and operational efficiency.



Frequently asked questions

MarTech stack rationalisation is the process of consolidating overlapping marketing tools into a tighter, aligned system. Enterprises often run more than 130 overlapping applications, with nearly half of marketing SaaS licences sitting idle or underused. Rationalisation cuts licence sprawl, technical debt, and integration complexity, lowering maintenance costs and freeing budget for higher-value work like AI-driven decisioning and attribution.

Governance is what stops MarTech sprawl from returning, not a one-time cleanup. The root problem is that no single leader owns MarTech ROI: marketing uses it, finance pays, and IT inherits it. Effective governance assigns clear ownership and requires expected ROI before any new tool enters the stack, with IT controlling data architecture, identity, and integration.

MarTech rationalisation delivers measurable cost savings and reclaimed working capital. One global financial institution cut its application portfolio by 36%, legacy code by 34%, and costs by 16%. A large technology firm compressed more than 40 tools into 5 core platforms, saving over 120 million dollars a year. Those savings fund AI-driven decisioning while improving speed and reliability.

A rationalised MarTech stack is lean but still covers the full customer journey. A typical model uses one primary CRM, one analytics layer for attribution, one engagement platform family for chat, messaging, and events, and a small set of specialised tools for SEO, content, and programmatic media. It spans awareness to advocacy while letting teams iterate at pace.

MarTech becomes a growth engine when ROI is measured by business outcomes, not campaign metrics. Enterprises adopt multi-dimensional ROI frameworks that link MarTech spend to revenue, efficiency, and total cost of ownership. This justifies higher investment in AI-driven decisioning, real-time personalisation, and predictive lead scoring. Rationalisation enables the shift by clarifying what to keep, retire, or scale.