The era of basic email personalization, merely addressing recipients by their first name, is long past. Today, true personalization hinges on delivering the right message to the right consumer at precisely the right time. The impact is undeniable: personalized emails boast transaction rates six times higher than their generic counterparts.
Achieving this deeper level of personalization is a coveted goal for sophisticated email marketers, yet many find it challenging. In fact, fewer than 10% of top retailers rate their effectiveness in this area highly. Perhaps the most effective path forward is to implement personalization in stages, gradually increasing sophistication and, by extension, results. This guide outlines a practical “crawl, walk, run” approach to elevate your email personalization efforts.
The Foundation: A Best-in-Class ESP, Not a Marketing Cloud
Before embarking on any personalization journey, even the initial “crawl” stage, establishing the right Email Service Provider (ESP) is paramount. This doesn’t mean an ESP overloaded with every conceivable personalization feature. Instead, you need a provider that offers a robust foundation for all your future endeavors.
Historically, ESPs focused on sending emails and tracking basic results. They then evolved into “one-stop shop” marketing clouds, promising cross-channel functionality and countless bells and whistles. While theoretically appealing to centralize all marketing capabilities, this approach often presents significant drawbacks:
- It’s difficult for a single “marketing cloud” vendor to excel at everything.
- Such platforms may force you to pay for features you don’t need or use.
- Many marketing clouds impose charges based on contact numbers, file storage, and incremental email costs.
In today’s ecosystem, with numerous third-party vendors offering innovative, specialized solutions, a monolithic marketing cloud isn’t always necessary. A best-in-class ESP that is scalable, integrates seamlessly with other technologies, and primarily offers exceptional email deliverability is often the superior choice. Once this core is in place, you can strategically layer on the additional technology, data, and strategy required to enhance your personalization.
Defining Your Personalization Goal
Your best-in-class ESP forms the first layer of your technology stack. The second layer involves technology that collects data and facilitates real-time decision-making. With these elements combined, your ultimate goal should be clear: transform your email program from a complacent “batch-and-blast” approach into a proactive, one-to-one conversation with each subscriber.
Making Strategic Use of Email Marketing Data
Utilizing your ESP and other components of your technology stack, you’ll begin by integrating and leveraging various data types. Start slow and gradually ramp up your data utilization:
- Email Engagement and Preference Center Data: Information gathered directly from how subscribers interact with your emails and their stated preferences.
- Website E-commerce Platform, Point-of-Sale (POS), and Order Management System (OMS) Data: Comprehensive data on browsing behavior, purchase history, and transaction details.
- Ad-hoc Data from CRM, OMS, POS, and Beacon Technology: Additional insights from customer relationship management, order systems, physical store transactions, and location-based tracking.
Achieving the pinnacle of personalization is a gradual process. The “crawl, walk, run” methodology provides a structured path, outlining what each stage might entail:
Step 1: The Crawl – Reactive Campaigns
This initial step involves implementing reactive campaigns, triggered by on-site behavior as well as data from your CRM and ESP. These campaigns are “reactive” because they respond to specific actions (or inactions) by the subscriber. Examples include:
- Welcome Series: Automated emails sent to new subscribers introducing your brand.
- Cart Abandonment: Reminders for items left in an online shopping cart.
- Checkout Abandonment: Follow-ups for users who initiated checkout but didn’t complete it.
- Re-engagement: Campaigns designed to reactivate inactive subscribers.
- Self-selected Preference Campaigns: Emails triggered by subscriber-provided data like birthdays, anniversaries, preferred frequency, or gender-specific content.
- Dynamic Content within Bulk Campaigns: Customizing elements like product categories or images based on geographic data or gender within a larger send.
- Post-Purchase Win-Back Campaigns: Strategies to encourage repeat purchases after a customer’s initial order.
If you’re already employing some or all of these methods, you’re off to a solid, albeit foundational, start. The subsequent steps will allow you to craft increasingly personalized messages, transitioning from reactive responses to proactive, one-to-one dialogues.
Step 2: The Walk – Proactive Campaigns with Predictive Insights
At this stage, you begin to incorporate proactive campaigns, leveraging machine learning to predict behaviors based on email engagement, on-site actions, and past purchase history. This allows for more sophisticated, timely outreach:
- Browse Abandonment: Reminding users about specific products or categories they viewed without adding to a cart.
- Browse Affinity Campaigns: Suggesting related products based on browsing patterns.
- Price Reduction Campaigns: Notifying customers when items they’ve shown interest in are permanently marked down.
- Back in Stock Campaigns: Alerting users when a previously unavailable product they viewed is restocked.
- Product Browsed Now on Sale: Informing customers when a product they recently viewed goes on a temporary sale.
- Geo-Targeted Email Campaigns: Sending location-specific offers or information.
- In-Store Data Triggered Campaigns: Emails prompted by physical store visits or interactions.
- Predictive Behavior Triggered Campaigns: Advanced emails based on machine learning predictions of future actions.
- Post-Purchase Product Affinity Campaigns: Recommending complementary products based on recent purchases.
Step 3: The Run – Advanced One-to-One Automation
In the “Run” phase, your proactive campaigns fully embrace machine learning for predictive behaviors, drawing insights from email engagement, on-site activity, and comprehensive post-purchase analysis. This stage focuses on building highly targeted automations and triggers for very narrow, often high-value segments of your audience:
- Purchase Value Optimization: Tailoring offers and communications based on a customer’s predicted lifetime value.
- Customer Loyalty/VIP: Creating exclusive experiences and rewards for your most valuable and loyal customers.
This level of personalization—true one-to-one predictive marketing—should be the ultimate aim for every email marketer. It doesn’t require an ESP packed with every imaginable feature. Instead, it necessitates a reliable, best-in-class ESP known for stellar deliverability and seamless integration with specialized add-on technologies. This core ESP, combined with strategic layering of additional data and technology, is what truly makes advanced personalization achievable.
Crucially, before implementing any of these steps, dedicate time to defining your overarching strategy. Only once your strategic objectives are clear can you effectively nail down the tactical pieces required to execute them successfully.