How to personalise data while tip-toeing through the data-protection minefield

Data personalisation: Why it’s important, and why it’s hard to achieve

The irony of shoppers wanting personalisation but demanding privacy isn’t lost on market leaders who realise the importance of a data-driven marketing strategy. Market leaders can be defined as those with the agility to meet constantly evolving customer expectations. However, when it comes to e-commerce, their customers are at odds with themselves.

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Customers have become accustomed to personalisation. Relevant advertisements, suggested items, and message pop-ups are the new norm. These forms of targeted advertising are of course driven by one thing: data. 

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Yet the journey to personalisation is becoming more difficult to complete. One of the biggest obstacles is the sheer volume of data that marketers are presented with. Sifting through vast swathes, deciding what’s relevant, what’s not, having the tools to provide structure and decipher digits into meaningful insight, takes serious investment. 

Even if these steps are addressed with the correct technology, a personalisation marketing strategy can still be whipped from under your feet if data privacy is not correctly entered into the equation. Marketing departments are having to navigate a data-protection minefield in order to collect data, process it in intelligent new ways, and finally deliver the personalised experiences that encourage engagement from their customers.

The Data Protection Problem

Data protection regulations are forcing more stringent controls which essentially safeguard how data is collected and used. We’ve all heard of GDPR, but this regulation isn’t alone in fortifying consumer data. Across the pond, the California Consumer Privacy Act (CCPA) sets a marker as to the extent the world’s leading capitalist economy is reining in the wild data-methods used by firms to enhance the customer experience. 

It’s fair to say that across the entire globe there’s a real increase in the awareness of data privacy, handing control back to the buyers. But if this comes at a personalisation-cost, negatively impacting the customer experience, why are regulations in place?

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Well, because they provide a set of rules that must be followed, guiding both professionals in how they use personal data and telling consumers of their rights. GDPR and other notable regulations don’t have to be restrictive, they instead should be viewed as a structure within which to build a personalisation strategy. Data protection’s sole aim isn’t to make the marketer’s job more difficult. Viewed from a certain angle they can even be said to support marketers in their exploits. It’s all a matter of perspective.

Making data-protection work for you

The question we have to address is whether personalisation and data privacy can co-exist.

Data is principally collected in three ways:

  • Customers can be directly asked whether they consent to their data being collected and utilised.
  • Customers can be tracked indirectly.
  • Third-party data can be purchased from external sources.

Third-party data is typically the kind most liable to fines, meaning that to avoid the pitfalls of GDPR, organisations may have to lean more heavily towards collecting data directly.

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The secret to tip-toeing the data-protection minefield is transparency at every stage of the personalisation journey. Both providers and platforms have to notify users at every turn, which may lead to negative results in the short term at least through loss of insight from third-party cookies and tracking. In the long term, however, internal data will be strengthened making for a more sustainable practice.

Otherwise, make regulations work for you by using them as an advertising tool. By going above and beyond to demonstrate that you are not only complying with data-protection regulations but putting customers first by introducing policies that further bolster the control they hold over their data, they in turn may look more favourably upon you.

But what does this mean for personalisation? Enhancing privacy restrictions by removing cookies, for example, will make it more difficult to optimise spend and deliver targeted messages. Suddenly we degenerate to the ‘casting a wide net approach’, one that opposes the very principles of personalisation.

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Hyper-personalisation 

The most important thing to do is to not give up. These are turbulent times for data privacy, but fundamentally customers have become accustomed to familiarity when navigating websites. Foregoing a personalisation strategy will see you slipping behind competitors.

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Plotting the route to hyper-personalisation involves working smart with data by being certain of transparency, that customers will not complain about how their data is used, and by extracting maximum insight from lesser volumes. 

Hyper-personalisation is consistently conveying the right message without breaking privacy rules. Data should be gleaned from multiple touchpoints and interpreted as part of a sophisticated data-driven marketing strategy to ensure consumers are targeted with only relevant messages likely to encourage interaction. With device-culture, customers may use a laptop, their iPhone, not to mention watches, tablets and desktops. Hyper-personalisation eases communication across each endpoint, ensuring they work together to gather information and provide a complete snapshot of the customer, taking into account lifestyle and online behaviour. 

Every customer has specific needs and expectations that they demand are met. Hyper-personalisation is essential to drive more meaningful interactions, upping loyalty and aiding the buyer’s journey.

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