"I don't have a passion for data, I have a passion for customers. Nick Vieberink, manager of marketing and e-commerce at Bouwmaat wholesaler of building materials, couldn't put it more clearly. But that data is invaluable for that customer passion.
Omnichannel strategy
For 30 years, Bouwmaat's target audience has been specific: the craftsman with his own handyman business. Bouwmaat has a close relationship with its customers. Offline, it has the target group well in sight. The craftsmen come across the store floor, employees know them and know what they need. Nick Vieberink: 'With an omnichannel strategy, you want to be able to offer this customer experience across all channels, including online and in the app.' Therein lies a challenge for the marketing and e-commerce manager. Vieberink: 'If you want to get to know the customer well online as well, you simply need a lot of data. And,' he adds, 'you have to be able to convert that data quickly into personalized content. Passion for customers is one of the company's core values and through data we want to live up to this across all channels.'
'If you want to get to know the customer well online as well, you simply need a lot of data'
Artificial intelligence patterns
Vieberink says Bouwmaat is doing cool things with data. What cool things then? 'Take, for example, customers who want to leave with us. Unfortunately, we have those too, and we can detect the possible departure at an early stage by mapping customer behavior. Based on artificial intelligence patterns, we can set off alarm bells early.' The "alarm" can be set off by a variety of things. For example, due to the establishment of a competitor near a Bouwmaat store, customers with a certain customer behavior may respond by leaving. The core customer is not likely to go to the newcomer, but perhaps the professional home handyman type will. Bouwmaat can decide whether or not to run a promotion on that.
Personalization of newsletters
Another cool thing with data is the personalization of all newsletters. 'Based on transaction data, what customers have bought before, we know, for example, if a customer has a certain brand preference. With that data, the newsletter is automatically customized. You can only show three images in the newsletter, but we sometimes have hundreds of promotional articles. Then, of course, you want to show the most relevant ones."