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E-mail marketing

Smart email automations to capitalise on respond to the Customer Journey

Automate and personalise your email campaigns to engage and captivate customers at every moment of their journey.

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Briefly

Various automations

Segmentation of target group

Trigger-based mailing

Personalisation

Analysis and optimisation

Segmentation of target group

Reach your target group effectively

Target group segmentation is the basis of successful e-mail automation. By dividing the e-mail list into smaller, specific groups based on certain criteria such as demographics, buying behaviour or previous interactions, we can communicate in a much more targeted way. This allows us to create content that matches the target audience. For example, an e-mail aimed at a returning customer may differ from one for a new subscriber. Segmentation ensures that your message is relevant and personalised.

Trigger-based mailing

Personalise your communication with automatic triggers

Trigger-based mailing is all about sending personalised and timed emails based on specific user actions. This approach ensures higher engagement because messages are sent at the right times. Think of a welcome email after signing up for a newsletter, a reminder email for an abandoned shopping cart or a birthday discount. These types of mailings respond to the user’s immediate interest or need, which not only makes them more relevant but also increases the likelihood of conversion. Moreover, this technique helps maintain an ongoing and meaningful dialogue with your customers, which helps build a strong, long-term customer relationship. By automating these processes, we ensure that no opportunity goes unused and maximise the efficiency of our email marketing efforts.

Personalisation

The power of personalisation in email marketing

Personalisation in e-mail automation is much more than adding a name to the salutation. It is about tailoring the content of emails to each recipient’s individual preferences, behaviour and needs. By collecting and analysing data such as previous purchases, interactions with previous emails and website behaviour, we can compose emails to suit each customer. This can range from recommending products based on previous purchases to sending special offers based on customer loyalty.

Analysis and optimisation

Measure, learn and optimise

Email automation starts by collecting data from every email sent, such as open rates, click-through rates and conversion rates. This data provides us with insights into how recipients respond to our messages. With this information, we can recognise patterns and trends. These insights are indispensable for improving our e-mail strategies. By constantly testing, adapting and refining, we optimise the effectiveness of our campaigns.

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