What's the difference between them? One-off communications versus prolonged, email-based interactions. For example, email marketing tools are excellent for one-off communications. You can use these tools for the one time you'd like to send someone an automated email response when they join a subscriber list, on their birthday, or when you promote a new product. But marketing automation tools are better suited for prolonged, email-based interactions. For example, you can use marketing automation tools whenever you want to guide someone from a subscriber list to a product purchase. Or you can send thank-you emails or send new product promotions—all without having to lift a finger after the workflow is designed.
What I most like about Rejoiner is the shared accountability over results. Many brands spend large sums of money on email marketing software, only for the accountability of results to be on their internal team. With Rejoiner, this is flipped on its head, where the company providing the software shares the responsibility for driving incremental revenue.
A tool that enables eocmmerce retailers to reach their customers via email, SMS messages, web push notifications, Facebook messenger, Viber & Whatsapp, or a combination of platforms. It collects data based on customers’ attributes, browsing behavior, and brand interactions to help customize calls to action. Features include personalization, website tracking, auto-response (welcome, purchase confirmation) and abandoned cart follow-up automation.
But if people don’t believe those reasons, they don’t buy either. As long as you seem like a friend who’s trying to help them, people are likely to believe that you’re sincere and that buying from you is a good decision. That’s one of the main reasons email marketing can work so well; it’s relatively easy to come off as a friend. Especially the other two email marketing strategies are good for making people see your good intentions. That said, if your offers don’t make people think you’re genuinely trying to help them, something is wrong.
"Personalization in all of its forms will continue to grow, but the personalization of send time will be one of the fastest growing forms. More email service providers are offering this functionality, which optimizes the send times of emails to individual subscribers based on their historical open patterns. So, 2020 is set to be a big year for the adoption of send-time optimization.
In truth, most of the AI that is discussed in the marketing world concerns the automation of processes. Marketing automation is centred around providing the most relevant content at the most suitable time to a specific individual or group, be they existing or potential customers. The intelligent part comes from how AI systems learn from past behaviours to shape future actions.
According to recent research from Radicati Group, worldwide email volume will reach 207 billion messages this year—more than half of those for business. The typical business user receives well over 100 emails each day. Email marketers are challenged not only to make their messages stand out in that deluge, but also to provide relevant, actionable information to targeted recipients.
The primary cost of poorly crafted or mis-targeted emails is lost business opportunities, though in extreme cases it can damage a firm’s reputation as well. But the potential payoff for effective email marketing is substantial; email messages are more likely to be seen and acted upon by decision makers than online content, social media, or advertising.
Great flexibility: Email marketing can work for every business. It doesn’t matter whether you sell houses, lingerie, or consulting; you can get lots of sales if you use the right email marketing strategy in the right place. And you can promote practically anything relating to your business—you aren’t limited to sending links to your sales pages. Or rather, if your emails are just links to sales pages, you’re doing it wrong.
"I’m predicting that in the Year 2020, that there will be an uptake in robust, hypothesis-led A/B testing. A methodology of testing where the marketer leads the test by forming hypotheses and then uses technology to perform the test, rather than letting the technology lead the test - as was done in days of old. Let’s be honest – we’ve all been there. You feel that you ‘should’ run an A/B Split test and so go to your technology, select to run a subject line test and out of thin air and with no research or hypothesis, throw together two subject lines to test. And then become disappointed because there wasn’t a winner due to the subject lines being too similar.
Hello, Steven. Nice article. You have hit the nail on the head. I too believe that both old and new marketing needs to compliment each other to get the desired result. I feel that with data from new marketing solution like social media shall be added to old tools like email marketing and direct mailers to make them more efficient and bring real business value. Thanks for highlighting the points.