Emarsys: Marketing automation and personalization platform

Core Features and Capabilities

Take a concrete case: a business with around 6,000 monthly customer interactions wants to automate campaign delivery and tailor personalised offers. Using an advanced automation and personalisation platform, the marketing team maps out customer journeys across email, SMS, mobile and social channels. Instead of sending standard messages, the system segments customers in real time, considering purchase patterns and engagement history. This allows timely and relevant offers to reach the right audience, increasing open and conversion rates without manual intervention.

Personalisation takes things further by drawing on purchase histories, website activity, and behaviour-based triggers. The platform can suggest related products or send reminders just as a customer is considering a repeat purchase. This level of customisation fosters loyalty and prompts repeat business. Real-time analytics keep marketers informed about what works and what needs adjustment, making continuous optimisation straightforward.

• Automated journeys triggered by real customer actions and behaviours
• Real-time segmentation for relevant targeting at every stage
• Multichannel orchestration across email, SMS, push, and web
• Personalised product recommendations based on previous activity
• Intuitive dashboard with actionable analytics and performance data
• Behaviour-based triggers to send messages at the right moment

Segmentation and Customer Journey Automation

Look at the numbers: a local e-commerce business with 7,200 subscribers starts using advanced segmentation to target specific behaviour, such as recent activity or abandoned baskets. By automating their customer journey, they set up triggers for follow-up emails three days post-purchase, and reminder campaigns if a basket is left idle for a week. Within two months, their email open rates jump from 18% to 27%, and purchase conversions increase by nearly 30%, clearly demonstrating the value of harnessing precise segmentation and automation.

A key risk is over-segmentation, which can lead to fragmented campaigns that either confuse the audience or result in missed opportunities. It’s vital to regularly review the segments being used, ensuring that each is large enough to yield meaningful data and practical results. Marketers should also be careful not to over-automate to the point of losing a real human touch, which can negatively affect brand loyalty.

• Use behavioural and demographic data for meaningful segmentation
• Set up automated triggers for key lifecycle events
• Continuously review segment performance and engagement rates
• Align messaging and timing across all journey stages
• Periodically test and refine segments for optimal results
• Balance personalisation with scalability to avoid over-complication

Integration with Business Systems

Seamless integration with existing business systems is essential for marketers who depend on accurate, connected data across various functions. A marketing automation and personalisation platform facilitates real-time sharing of customer details, transaction history, and engagement metrics between different departments. This allows sales teams to access up-to-date lead information, support agents to see recent marketing interactions, and marketers to tailor campaigns based on sales outcomes—all using the same source of truth. When data flows freely between systems, teams avoid duplication of effort and reduce the risk of data inconsistencies.

For example, a mid-sized retailer with 8,400 customer service queries a month can link its customer relationship management, e-commerce, and marketing tools through automated synchronisation. As orders, customer profiles, and support tickets update in one system, changes are reflected everywhere else—delivering a unified customer view and enabling faster, more responsive communications. This integrated approach streamlines workflows and helps ensure that follow-ups and promotions are always relevant to the latest customer activity.

When connecting multiple systems, it’s important to check compatibility, review data mapping logic, and monitor for issues with synchronisation. Overlooking details in field mapping or user permissions can lead to gaps or inaccuracies in customer records, impacting campaign effectiveness and reporting accuracy. Businesses should plan for regular checks and have a clear escalation route for technical support.

• Ensures up-to-date customer data between marketing, sales, and service teams
• Reduces manual data entry and avoids double-handling of leads or contacts
• Supports automated triggers based on sales or service activity
• Maintains consistent customer messaging across platforms
• Facilitates better reporting and campaign attribution analysis
• Allows for scalable workflows as business grows or new tools are added

Example Use Case with Campaign Workflow

Run the maths on this: an Irish online retailer sets up an automated spring sale campaign for its 10,800 newsletter subscribers (calculated as 1200 x (4 + 4)). The campaign workflow begins with audience segmentation, targeting dormant customers who have not purchased in the past six months. Personalised product recommendations are created based on each customer’s browsing history and previous purchases, ensuring relevance and increasing the likelihood of engagement.

The campaign is scheduled to trigger a sequence of emails: the first announces the sale, the second reminds users three days later if they have not engaged, and the final message contains a time-limited discount. Advanced analytics tools track open rates and purchases in real-time, allowing the retailer to automatically adjust messaging for higher engagement. With pre-built templates and automation triggers, this multi-step campaign can be built and deployed in a few hours, freeing staff time and ensuring no customer segment is missed.

• Segment your audience before starting the campaign process
• Automate follow-up messages based on engagement behaviour
• Feed real purchase and browsing data into personalisation logic
• Use time-based scheduling to drive urgency and response
• Monitor real-time metrics and adjust content quickly
• Ensure campaign compliance with data and privacy standards

Key Metrics and Performance Measurement

Here is a simple example: Imagine a business running an automated campaign with a budget of EUR 8,000 over 7 months. They track open rate, click-through rate (CTR), conversion rate, and customer lifetime value (CLV). If 50,000 emails are sent and 10,000 are opened, the open rate is 20%. Of the 2,000 who click through, if 400 purchase, the conversion rate is 20% for clicks, or 0.8% of total recipients. Analysing these numbers, the business notices a strong drop-off after the first email. Testing alternative subject lines or calls-to-action in their automation can pinpoint what boosts CTR or conversions, helping improve overall ROI.

Select metrics closely tied to business outcomes. Pattern analysis across campaigns highlights where personalisation or channel mix improves user engagement. Always factor in attribution models when tracing the origin of conversions. Ignoring this can lead to misplaced spend and missed opportunities in optimising strategies.

• Review metrics after each campaign cycle to spot underperforming points
• Combine short-term indicators with long-term value like CLV
• Track results by channel and segment for actionable insights
• Set clear benchmarks and continually adjust targets
• Avoid relying on a single metric to guide decisions