Home Data-Driven Thinking Apple’s Privacy Change to Email – And How Marketers Should Respond

Apple’s Privacy Change to Email – And How Marketers Should Respond

SHARE:
Kerri Driscoll, VP of marketing strategy, Merkle

“Data-Driven Thinking” is written by members of the media community and contains fresh ideas on the digital revolution in media.

 Today’s column is written by Kerri Driscoll, VP of marketing strategy at Merkle.

At Apple’s Worldwide Developers Conference, Apple announced its intention to put additional privacy parameters in place for email with its Mail Privacy Protection feature.

Specifically, as Apple called out in a release, the feature stops senders from using invisible pixels to collect information, helps users prevent senders from knowing when they open an email, and masks a user’s IP address so it can’t be linked to other online activity or used to determine location.

Although it’s too early to say how broad the ramifications of this announcement will be, there will likely be a significant impact to email-specific metrics. The native Mail app delivers almost 40% of emails on iPhone, desktop, and iPad, according to Sparkpost.

On top of that, Apple also explicitly referred to a new approach whereby all content within an email will be preloaded as opposed to dynamically served. Gmail and Yahoo have both implemented similar approaches in the past few years.

This means that the pixel indicating an open will fire, and open rates may be highly inflated. Marketers beware. Not only that, but once these images are cached, they will remain the same. Therefore, any use of real-time content or forwarded images from device to device will become stagnant.

So, what does this mean for marketers? The main takeaway is that small- and medium-sized enterprises need to prepare for a few potentially substantial implications.

Rethink your testing strategy

Send time optimization (STO) will be delegitimized in some capacity, because the email open time will be inaccurate or potentially not reported back at all.

Machine learning and tools, such as the Einstein STO features within Salesforce’s marketing cloud, will likely have to pivot in order to address this concern. A/B testing and test-and-roll will also be sidelined since as open winners will likely be at parity within messages. Also, resending to non-openers will be diluted and likely a nonviable strategy going forward.

To that end, customer journeys should be reassessed for modification based on historical open rate and decided by a click or next best message that doesn’t assume an initial read.

Reassess dynamic content

Real-time personalization technology companies have built an entire business arm dedicated to dynamic content based on location, countdowns, inventory, weather and the like. Given that Apple will cache images, this could make that dynamic information irrelevant.

Rethink your approach to focus on what you know about the customer and pull in attributes such as complementary products with an existing purchase, customer preferences or a piece of content that doesn’t assume someone has engaged with previous messages.

The point is to create some other relevant consideration that gives an opportunity to deepen your relationship with your customers.

Prepare the organization to think – and measure – differently

Whether it’s with your own team or your leadership team, start conversations now about migrating to different metrics.

Opens, for example, will no longer be a viable metric of success, because Apple will likely signify most emails as “open” when it preloads a message.

So, how do you create that deeper relationship?

Build experiences based on what you already know about your customers and manage beyond opens and clicks.

It’s challenging to lose foundational metrics, but opens are considered by many to be a vanity metric in any case. It’s time to move on. Although opens may still be an historical indicator of list hygiene, they will likely no longer work as an indicator of success.

My advice? Consider each email message to be an experience.

Use this opportunity to reach beyond the open and think about the multichannel moments and points of connectivity that will provide that next best message and experience for your customers.

Follow Merkle (@Merkle) and AdExchanger (@adexchanger) on Twitter.

Must Read

Netflix Touts New Measurement Capabilities As It Struggles With “Modest” Engagement Growth

Netflix’s revenue grew 12% YOY to $12.9 billion in Q3, which it maintains is in line with its forecast. Its ads business, however, is lagging slightly compared with expectations, causing Netflix to tweak its forecast for the rest of the year.

Apple Publishes Its Plan To Wipe Out Web Tracking

Apple is coming for identity resolution. WebKit’s latest tracking crackdown targets the infrastructure behind post-cookie IDs – and switching to a first-party setup won’t necessarily spare vendors.

AI Slop Sites Are On The Rise. Is Ad Tech Ready For Its New MFA Challenge?

Advertising supply chain intelligence company DecryptAds uncovered more than 2,100 AI-generated recipe sites that are monetized with programmatic ads and feature fabricated author profiles.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

How Australian Home Lender Lendi Measures The Invisible Work Of AI

Most brands and businesses are trying to figure out how to improve their metrics when it comes to AI – and also what those metrics even are.

AI Startup Minerva Built An Agentic CDP, But Don’t Call It That

Minerva wants to turn fragmented customer data into something marketers can use, with AI agents doing the work behind the scenes.

VideoAmp Bets On AI To Connect Ad Planning And Measurement

VideoAmp is competing in the measurement space by sharpening its focus on TV audience data, ad performance and, of course, AI. The company is also making strategic hires and promoting from within.