’Hello Me’ - AI has flipped Personalisation23 Sep

Hello $Firstname AI Edition, Chapter 20: Marketing Technology

In Chapter 20 of Hello $Firstname, Matthew Niederberger reads ‘Marketing Technology’.

Matthew Niederberger is a fractional head of martech at Martech Therapy, which mostly means he gets called in when a stack is not doing what the slide deck promised. He spends most of his working life inside other people’s martech stacks, so this is the chapter he would have picked himself.

The chapter opens with John at Diligent Corporation, preparing a major product launch. A content marketing platform trained on the company’s tone of voice, product terminology, and target personas returns working drafts for web, email, social, and sales talking points within minutes. It is not perfect out of the box, but it gets the team 80% of the way there in a fraction of the time.

From there, the chapter looks at the martech stack as a whole. Drawing on Gartner’s Pace-Layered model and MartechTribe research into more than 900 stacks, it identifies five typical systems of record: CMS, CRM, marketing automation platform, e-commerce, and CDP. It also shows the order in which they tend to be implemented as stacks mature.

The chapter then asks whether the brand LLM could become a system of record in its own right, maps the most common personalisation tools onto the CX layers, and points to the agentic platform as a possible new layer on top of it all. It explains the twin trends of martech atomisation and aggregation, why best of integration matters more than best of breed or best of suite, and how to right-size your stack. As a rule of thumb, each critical phase of the customer journey rarely needs more than three to five key features, insights, and content items.

In his reflection at the end, Matthew revisits two of the chapter’s calls. On zero copy, he sees a split verdict: the warehouse has won the data layer, but not the moment, and the real architectural question is which decisions truly need to happen in milliseconds. On the brand LLM, he believes the book called it correctly, just in a different shape. It arrived as context you serve rather than a platform you buy. Not wrong twice, he argues, but early twice.

He closes by nominating a sixth system of record: whatever stores what your agents remember, tried, decided, and already said to a customer. An agent without memory is useless. An agent with unmanaged memory is a liability.

More resources from the Hello $Firstname universe

You can buy the physical book here: https://amzn.eu/d/6jV4QZT

If the Amazon EU link does not work in your country, please search for Hello $Firstname: Profiting from Personalisation, AI Edition on your local Amazon store.

You can download the illustrations and models from the book here: https://www.omnichannelinstitute.com/en/resources

You can also learn more about the Personalisation Cards and Canvas, which help teams turn the Bowtie of Personalisation into practical use cases, here: https://www.omnichannelinstitute.com/en/personalizationcards

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