Retail Rocket Science Blog: Email personalization

How tracking real-time interest in products helped increase revenue by 118.62%: Maxidom’s case
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The segmentation of the subscribers’ database is one of the most important email marketing tools. Online stores owners often underestimate its effectiveness. Segmentation allows the brand to adapt to changes in the target audience and always to send relevant content to the end users. With the help of segmentation, subscribers can be divided into a […]

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Trigger-based emails Growth Hacking for Toy.ru results in 44% CTR growth
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We have previously already analyzed the collaboration with Toy.ru, an online toy and goods store for children. The last time we described the success of our Growth Hackers in improving the key performance indicators of the webshop. Today we share the results of another sales channel, namely the triggered-based emails. As usual, the work was […]

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Loyalty cards in e-mails: Westland case study results in 76.6% revenue growth
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Personalization in email marketing plays a key role in building customer loyalty to the brand. The client has a positive experience and trusts the retailer more strongly when his e-mailings are not based on abstract information, but on his personal interests and preferences. It’s not a secret that the loyalty program is one of the […]

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Growth Hacking in Trigger Emails of MrDom.ru Online Store: 40% Conversion growth
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Retail Rocket Growth Hackers launch new A/B tests for our customers’ e-mail campaigns on a daily basis in order to check the effect of various hypotheses to increase revenues of online stores. Once again, we are ready to prove that there is no one true solution, each element of the email deserves special attention and […]

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How Personal Recommendations for Mass E-Newsletters Have Made Conversion 37.43% Higher: ELC Russia’s case
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Nowadays, users receive dozens of emails daily. To invoke a subscriber not only open a letter, but also follow the link proposed, newsletters should have a content to meet subscriber’s relevant interests. The user will be most inclined towards making a purchase from an online store if he is proposed those products that he currently […]

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