Skip to main content

Apple's Mail Privacy Protection and email marketing

[PLACEHOLDER]

 

Photo by Mateusz Dach from Pexels

Emails are ubiquitous in our daily lives. We use emails to communicate with our friends, families, learn about new products, get offers and promotions, etc. Consequently as a marketer email marketing plays a pivotal role in acquiring new customers and nurturing existing customers. 


However I personally have experienced a proliferation of emails during the pandemic. During the chronic lockdowns with the physical stores and restaurants being closed many small businesses have revamped their digital presence often adding email marketing to their repertoire of tools to reach their customers and prospects. I have seen my local shops setting up targeted websites (thanks to companies like Wix, Shopify, etc.) and often allowing visitors to subscribe to their newsletters. Email marketing solutions like Mailchimp and Campaign monitor have allowed these small businesses to quickly add email to their marketing channel with an easy pay as you go model. This has often allowed the small businesses to maintain strong engagement with their customer base even when the physical stores and restaurants were closed.


But there is a downside to this. Our inboxes are getting busier than ever and the competition for our attention is increasing at a tremendous pace. This also means that our privacy related to emails are becoming more important. So it was refreshing to see Apple prioritizing our email privacy in their latest iOS 15 update. Apple is well known in leading the pack in rolling out security features and I strongly think other email client providers will follow suit with similar if not stronger privacy features. 


So what is Apple’s Mail Privacy Protection? 


It is important to understand that the privacy protection is not designed to prevent delivery of relevant content to consumers. Instead it’s meant to give the consumer the ability to control the information he/she wants to share with a business. 


Apple’s Mail Privacy Protection is an opt-in feature for iOS, iPadOS and macOS that gives users more control over their inbox and the data shared with the email senders.

 

As per Apple, “In the Mail app, Mail Privacy Protection stops senders from using invisible pixels to collect information about the user. The new feature helps users prevent senders from knowing when they open an email, and masks their IP address so it can’t be linked to other online activity or used to determine their location.”


How will it impact the email marketers? 


  1. The open rates will be skewed. Open rates can no longer be used as an accurate metric for engagement. The open rates will always appear higher than they actually are as Apple will download the invisible pixel regardless of whether the user opens the email or not if Mail Privacy Protection is enabled.  

  2. Any marketing automation using open rates e.g. A/B will no longer be effective

  3. IP address can no longer be accurately used to identify the geolocation or online activity of the user


How should email marketers adapt to accommodate this change?


  1. Must stop relying on open rates as an engagement metric. Instead must focus on link clicks and relevant conversion metrics that drive business outcomes. This includes the number of users who clicked the links in email to subscribe, purchase, create accounts, etc.  

  2. Must use links clicks instead of open rates in A/B testing and retargeting workflows.  

  3. Must stop using geo targeting and optimize delivery time based on IP address. Instead must promote preference centers to get the relevant information like country to better target the audience. 

  4. Must thoughtfully curate email content to have CTA to drive higher engagement. Example, have a relevant blurb at the top of the email highlighting the content and accompanied with a CTA to drive click throughs. 


In conclusion privacy is becoming more and more important to the users and companies are adopting features to allow users select the data they are comfortable sharing with the companies. This can be disruptive for the marketers at the beginning however it provides a great opportunity for the marketers to better target the users by getting their explicit consent and information to better personalize the marketing messaging. This also provides the marketer the opportunity to focus more on the conversion metrics based on the user journey rather than vanity metrics like open rate as it better reflects the business outcomes from the marketing activities.  



References:

https://www.litmus.com/blog/apple-mail-privacy-protection-for-marketers/

https://www.campaignmonitor.com/resources/guides/apple-mail-privacy-protection-guide/

https://www.apple.com/newsroom/2021/06/apple-advances-its-privacy-leadership-with-ios-15-ipados-15-macos-monterey-and-watchos-8/

https://www.gale.agency/blog-posts/ios-15-and-the-future-of-email

Trending posts

AGILE For DIGITAL AGENCIES

Introduction Some Digital agencies have a project process where waterfalls still plays a big part of it, and as far as I can tell, the tech team is usually the one suffering as they are at the last part of the chain left with limited budget and time for execution. I do believe that adopting an Agile approach could make a Digital Agency better and faster. In this article I’m presenting you just another point of view of why it make sense looking at Agile Methodology.  Why Agile for a Digital Agency? The Agile movement started in the software development industry, but it has being proven to be useful in others as well. It becomes handy for the type of business that has changing priorities, changing requirements and flexible deliverables. In the Digital Agency of today you need a different mindset. Creative will always play a huge role (“the bread and butter”). But the “big guys” need to understand that without technology there is no Digital Agency. Technical resources are

Key takeaways from landmark EU AI Act

 Recently, the European Parliament voted and passed the landmark EU AI Act. It's the first of its kind and sets a benchmark for future AI regulations worldwide . The EU AI Act lays the foundation for AI governance, and it's pertinent for organizations delving into AI systems to comply with the legislation, build robust and secure AI systems, and avoid non-compliance fines.  Photo by Karolina Grabowska via Pexels My three key takeaways from the legislation are as follows: The Act introduces the definition of an AI system: "An AI system is a machine-based system designed to operate with varying levels of autonomy and that may exhibit adaptiveness after deployment and that, for explicit or implicit objectives, infers, from the input it receives, how to generate outputs such as predictions, content, recommendations, or decisions that can influence physical or virtual environments" The Act introduces the classification of AI systems based on risk to society. The Act outlin

AI with great power comes responsibility

Generative AI continues to be front and centre of all topics. Companies continue to make an effort for making sense of the technology, investing in their teams, as well as vendors/providers in order to “crack” those use cases that will give them the advantage in this competitive market, and while we are still in this phase of the “AI revolution” where things are still getting sorted.   Photo by Google DeepMind on Unsplash I bet that Uncle Ben’s advise could go beyond Peter Parker, as many of us can make use of that wisdom due to the many things that are currently happening. AI would not be the exception when using this iconic phrase from one of the best comics out there. Uncle Ben and Peter Parker - Spiderman A short list of products out there in the space of generated AI: Text to image Dall.E-2 Fotor Midjourney NightCafe Adobe Firefly

Small Language Models

 Open source models will continue to grow in popularity. Small Language Models (SLMs) are smaller, faster to train with less compute.  They can be used for tackling specific cases while being at a lower cost.  Photo by Tobias Bjørkli via Pexels  SLMs can be more efficient SLMs are faster in inference speed, and they also require less memory and storage.    SLMs and cost Small Language models can run on less powerful machines, making them more affordable. This could be ideal for experimentation, startups and/or small size companies. Here is a short list Tiny Llama. The 1.1B parameters AI Model, trained on 3T Tokens. Microsoft’s Phi-2. The 2.7B parameters, trained on 1.4T tokens. Gemini Nano.  The 6B parameters. Deepseek Coder

This blog uses cookies to improve your browsing experience. Simple analytics might be in place for pageviews purposes. They are harmless and never personally identify you.

Agreed