5 Things Every Marketer Should Know About Compliance

By Laura Moloney

Before GDPR, compliance didn’t mean as much to marketers as it does today. It was seen as something that “someone else” should have to worry about, like your legal team. Three years on from the biggest shift in the privacy landscape, organizations around the world have had to adapt company-wide to its effects far beyond the European Union where it has its most direct impact.

A lot of these effects rest on the incumbent shoulders of the marketer — who has had to grapple with the evolution of privacy landscapes as they gain momentum worldwide and has to figure out how to work with them in their day-to-day.

In today’s busy world of communications and data processing, it’s easy to overlook compliance marketing responsibilities with the pressure of deadlines and business objectives. Knowing what the responsibilities are for compliance in marketing is often unclear at an operational level. This inevitably opens your company up to risk which can cost your company dearly if not addressed.

In building your compliance strategy, it is often hard to know where to start and what to focus on — but becoming aware of some basic marketing compliance guidelines can be advantageous for your company, big or small, and equip you with invaluable ammunition to help you achieve your objectives.

That’s why below I have compiled a list of some best practices that every marketer can achieve within their own organization.

5 Things Marketers Should Know About Compliance

1. Wait, What ‘Data’ is It?

As a marketer, you are probably naturally closest to a lot of the user data that your company collects. It can tell you a lot about your users or customers and it is used by teams internally to achieve sales and marketing objectives.

Unfortunately, such wide use of this data across your organization can open it up to the risk of being misused or unprotected if there are no proper controls put in place. That’s why it’s best to put structures in place to keep this data organized, audited, and secure.

Taking stock of the various data sources that are across your company and how they interact with software and systems is essential.

Using this intel allows you to create a lock-tight plan to maintain consistent data structures and implement necessary changes, whilst giving you the ability to pivot as the business expands.

Maintaining an audit trail of data records is paramount in order to be able to respond to any requests by regulatory bodies. Using automated software to sync system logs and less reliance on excel sheets is by far the best way to manage large data sets and produce reports upon request. Using machine learning to scan and catalog data assets across the enterprise helps you better understand your data so you can derive more value from it.