Why Shopify + Klaviyo Brands Fail at Personalisation (And How to Fix It)

Retention Marketing
6 min
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Personalised email marketing is widely acknowledged as one of the highest-impact retention strategies in ecommerce, capable of strengthening loyalty, lifting engagement, and increasing revenue more than generic or broadcast messaging. Yet despite the hype and investment in platforms like Klaviyo, the majority of Shopify brands still fall short of truly personalised email experiences, and it’s not simply because they lack data or tools. The gap lies in understanding what effective personalisation actually is, and how it drives real behaviour change.

In the inbox, superficial personalisation like inserting first names or pulling a recommended product block is table stakes. But today’s customers expect relevance deep enough to reflect their context, needs, intentions, and preferences at the time they receive a message. When brands miss this, personalisation becomes a buzzword, not a performance driver.

What “Personalisation” Really Means in Email Marketing

At its core, personalised email marketing means tailoring content and experiences to individual recipients based on rich behavioural and preference data, not just addressing them by name. Real personalised emails use customers’ browsing history, purchase behaviour, engagement patterns, demographics, and timing to make messages feel truly relevant and timely. 

These emails feel like one-to-one conversations rather than mass broadcasts. Personalisation isn’t about having some data or triggering a message when someone abandons a cart. It’s about making the recipient feel understood, which fundamentally changes how they engage with your brand and respond to your communications.

Why Personalisation Matters for Engagement, Loyalty, and Revenue

The research is clear: personalised emails outperform generic emails across core performance metrics.

  • Higher open and conversion rates: Emails with personalised subject lines are significantly more likely to be opened and acted upon compared to generic sends.
  • Massive CTR and transaction lift: Personalised messages produce dramatically higher click-through and transaction rates because they align with customer interests rather than random content.
  • Stronger customer loyalty and retention: When customers feel that a brand “gets” them, they are more likely to stick around, buy again, and develop a deeper relationship with the brand.
  • Increased revenue and ROI: Brands that use advanced personalised email strategies see significantly better ROI than those that do not, with email often cited among the highest-performing channels financially.

In fact, personalised and segmented email campaigns generate a disproportionate share of ecommerce revenue, demonstrating how strategically delivered content encourages behaviour that generic messages never will. 

The Most Common Personalisation Failures We See

Despite all the data and tools available, most Shopify + Klaviyo brands fail at personalisation for three fundamental reasons:

1. They Personalise Content, Not Context

Many teams build personalisation around superficial elements, names, static recommendations, or simple dynamic blocks, but not around why the customer should care right now. Without aligning email content to a customer’s current intent or decision stage, those personalised elements fall flat.

2. They Slice Data, But Don’t Map Behaviour

Shopify brands often segment by purchase history or static demographics. But personalisation requires behavioural segmentation, understanding signals like browsing patterns, engagement activity, churn risk indicators, inactivity, and product affinities, and using them to adjust messaging logic.

3. They Treat Personalisation as a Tool Feature

Platforms like Klaviyo make personalisation features accessible, but few brands integrate them into a broader strategic framework that connects data to messaging outcomes.

Simply having access to real-time tracking and dynamic content doesn’t guarantee relevance; it’s how those capabilities are orchestrated in a lifecycle strategy that drives performance.

A Strategic Framework for Personalised Email

Enviary recommends a structured approach to personalised email that aligns data, behaviour, and messaging intent:

1. Collect and Unify Rich Behavioural Data

True personalisation starts with data that reflects context, recent website actions, engagement trends, purchase recency, and frequency, not just historic purchases or demographic fields. Platforms like Klaviyo can unify these signals into profiles that dynamically update as behaviour shifts.

2. Segment Dynamically Based on Engagement and Intent

Instead of rigid demographic lists, segment based on real-time behaviour: recent activity, product interest patterns, recency of purchase, browsing without buying, engagement decay, and churn risk. These segments should be fluid and update automatically as behaviour changes.

3. Deliver Timely, Relevant Triggers and Content

Leverage event-based triggers such as browse abandonment, post-purchase cross-sells, replenishment timing, and loyalty milestone nudges. These messages should reflect what the customer is most likely to want or need at that moment rather than what the brand wants to promote.

4. Optimise Continuously with Data and Testing

A/B testing across subject lines, content blocks, recommendation logic, and send timing enables you to refine personalisation strategies over time. Use performance data not just for optimisation, but to inform your segmentation and relevance strategies further.

The Solution: Behaviour-Led Personalisation, Not Data-Led Customisation

At Enviary, we approach personalisation as a retention system, not a campaign enhancement.

Instead of starting with content blocks, we start with behavioural intent.

This means shifting from:

  • “What product should we show?” to “What does this customer need to move forward right now?”

In practice, this requires reframing personalisation around motivation, not identity.

Across Shopify + Klaviyo accounts, we consistently see repeat engagement driven by four behavioural needs:

  • Confidence: customers need reassurance that they’re making the right choice
  • Progress: customers want to feel closer to a decision
  • Recognition: customers respond to being seen, not targeted
  • Control: customers disengage when they feel pushed rather than guided

Personalised emails work when they deliver the right type of value at the right moment, not when they display the “right” product.

The Enviary Framework: How We Do Personalised Emails 

Our personalisation framework is built around behavioural segmentation + dynamic delivery, not static personalisation rules.

First, we segment customers based on engagement patterns, not just transactions:

  • How they interact with content
  • Where they pause in flows
  • What they ignore versus respond to
  • How their engagement velocity changes over time

Second, we map each segment to a primary decision barrier:

  • Lack of clarity
  • Lack of confidence
  • Lack of urgency
  • Lack of emotional connection

Third, we deploy dynamic content selectively, aligned to that barrier:

  • Educational content when confidence is missing
  • Social proof when reassurance is needed
  • Status or exclusivity when engagement plateaus
  • Feedback loops when disengagement begins

This is where dynamic content becomes true personalisation.

What Changes When Personalisation Is Done Properly

Beyond engagement and loyalty, personalised email works economically. Data suggests that segmented and personalised campaigns generate a disproportionate share of email revenue, significantly higher than unsegmented, generic sends.

When done right, personalised email doesn’t just improve open rates, it accelerates conversions, increases average order value, and strengthens customer lifetime value because every touchpoint feels more relevant, useful, and respectful of the customer’s context.

Conclusion: Personalisation Is Not Optional

Personalisation isn’t about adding a first name or toggling a dynamic product block. It’s about mastering behavioural relevance, aligning data with intent, and crafting experiences that feel one-to-one, not formulaic.

When a personalised email is engineered properly, grounded in meaningful customer behaviour rather than campaign aesthetics, engagement increases, loyalty strengthens, and revenue becomes more predictable.

At the end of the day, the brands that win are the ones whose messages feel crafted for the individual, not broadcast to the masses.

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