4 min read
|
Saved February 14, 2026
|
Copied!
Do you care about this?
The article discusses the shift from buying martech tools to building custom internal systems, known as the hypertail. This trend allows companies to create unique workflows that enhance their go-to-market strategies, offering a competitive edge that standard tools cannot replicate.
If you do, here's more
The marketing technology (martech) sector is undergoing a significant transformation, marked by a surge in the number of custom-built internal applications and workflows, referred to as the "hypertail." According to ChiefMartec, the martech landscape has expanded to 15,384 solutions, but the real evolution lies in how companies are moving away from buying off-the-shelf software to creating tailored systems that enhance their existing tools. This shift is empowered by advancements in AI and low-code platforms, allowing businesses to develop specific solutions that address their unique needs without the complexity of traditional software development.
CMOs and go-to-market (GTM) leaders must adapt to this change, focusing on creating integrated ecosystems rather than simply selecting tools. Custom workflows impact customer experiences significantly, influencing key aspects like onboarding and retention. As companies embrace this hypertail, they gain a competitive edge by designing proprietary systems that drive growth, something competitors can't easily replicate. However, this complexity comes with risks, such as rogue automations and misaligned workflows, which require careful governance and ownership to prevent confusion.
For startups, the approach to scaling is shifting from acquiring numerous tools to leveraging a few effectively, supplemented by bespoke workflows. The article emphasizes that the real challenge lies in defining where custom solutions provide a competitive advantage, as not every function needs to be built from scratch. Leaders are encouraged to evaluate their systems regularly, ensuring that their GTM strategies are aligned with their evolving operational needs. The focus should be on intentional design and orchestration of AI tools, making sure that all elements of the system work cohesively to enhance growth.
Questions about this article
No questions yet.