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The decision on the table is whether to invest in a marketing automation platform and the people to run it. Bought before the journeys are defined, a platform becomes an expensive way to send newsletters. Bought with a clear journey map and an owner, it replaces work your team now does by hand and reacts faster than any person could.

Marketing automation turns behaviour into triggers

Marketing automation works on a simple mechanism: a customer does something, a rule picks it up and a message follows on the right channel. The trigger can be a sign-up, a product left in a basket, a page viewed twice or a purchase. Someone who buys a suit can receive a suggestion for a matching belt. Someone who already bought the shoes stops seeing ads for them, which saves advertising budget.

These mechanisms travel well beyond retail. An abandoned-cart email works just as well in the energy market or the automotive sector, and we bring that retail logic to clients in other industries. On Salesforce, this work runs in Marketing Cloud Next and its editions, which share customer data with sales and service.

Lead capture and nurturing without waiting for IT

Marketing automation lets marketers build landing pages and forms in their own brand style without writing HTML. A last-minute contest or a new e-book no longer waits for a development ticket. The data captured goes straight into the profile that later journeys use.

Nurturing is the second half. Most prospects are not ready to buy the first time they make contact, so a sequence of useful content keeps you in view until they are. In business-to-business sales that sequence often runs for months and hands the lead to a sales representative at the right point. For that B2B case, Marketing Cloud Account Engagement is built specifically around lead scoring and hand-over.

Personalisation depends on the audience more than the copy

The most important part of an email is who receives it. A perfect subject line sent to the wrong segment still fails, while a plain message sent to people who just showed interest often works. A personal greeting is the minimum. Real personalisation tailors content to what the customer has bought, viewed or asked about.

Testing then sharpens the message. A/B tests on subject lines, templates that adapt to any screen and reporting per segment show what works for whom. How to build that in practice is covered in our guide to email personalisation.

Morgan Strauwen

Senior Marketing Automation Consultant

What marketing automation needs before it pays off

The groundwork decides how fast a platform earns back its cost. Teams that skip it end up automating confusion. Check these points before you choose a platform.

You have mapped the customer journey, with every touchpoint where a message could help.
You know your main customer segments and what each one needs from you.
Your customer data and consent sit in one place the platform can read.
You have an implementation plan that starts with the journeys with the clearest return.
Someone in your team owns journeys, segments and results after go-live.

When those points are covered, the platform comparison becomes easier: scale, channels, integration with your CRM and total cost of ownership.

Cost and ownership decide the business case

Marketing automation cost grows with a few drivers: the number of contacts, the volume of messages, the channels you add and the integration work with your other systems. Contacts and messages rise with success. Integration and data model work are mostly one-off. The item most often forgotten is the internal owner, who needs time every week to keep journeys and segments current.

A simpler route will sometimes do. A company with a small list and a handful of journeys can run well on a basic email tool. The heavy case, with many channels, several brands and sales teams that need the same data, is where a platform integrated with CRM pays off. Aligning CRM and marketing automation is the step that makes that heavy case work.

How we build marketing automation that keeps working

We start with discovery: which journeys, which data, which owner. Then a fixed team builds the foundation and the first journeys with the clearest return, and we stay after launch to track the numbers agreed at the start. We run campaigns that reach two million recipients, and at that scale small errors in segments cost real money, so we test the audience logic before the creative.

Each journey that works becomes the template for the next. That is how automation grows from a welcome series into a programme your team can run and extend on its own.

Marketing automation

About the Author

Morgan Strauwen

Senior Marketing Automation Consultant

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