A tracking pixel is a snippet of code that allows you to track your subscribers’ activity across various channels like your website, landing pages, and newsletters. Then, you also have the option to send emails triggered by certain behaviors. So for example, if a subscriber goes to your site and checks out your product page, a tracking pixel can send an email with a special offer for the specific product the viewed.
In our email marketing software review roundup, we test the top email marketing tools available based on how easy it is to create emails, build subscriber lists, set autoresponders, and pull in other communication-based tools, such as social media management, and web analytics software. To that end, we selected Campaigner and Mailchimp as the best pure-play email marketing services. If you need a more complex tool that can build comprehensive workflows designed to automate the email marketing process, then we recommend HubSpot and Salesforce Pardot, which are better served as marketing automation tools.
Here's another great example from Litmus of animation being used to create more interesting email marketing design. Unlike static text, the swipe motion used to provide recipients with a look "under the hood" of their email tool is eye-catching and encourages you to take a deeper dive into the rest of the content. Not to mention the header does an excellent job of explicitly stating what this email is about.
Starting at $49/month for 2,000 contacts, Autopilot is far from the cheapest option, particularly considering that Autopilot does not offer an in-built CRM. However, Autopilot is extremely intuitive and great for teams that need to collaborate on powerful email automation sequences. If we had to move from ActiveCampaign, this is likely where we’d go.
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.