CASE STUDY · PHARMACEUTICAL

Multi-Product Personalization
for the Pharmaceutical Sector

How a pharmaceutical company optimized multi-product promotional campaigns with EmailGenius.

Industry:

Pharmaceutical industry

Target:

Customers interested in specific products

Challenge:

Promote 5 different products in a single campaign

The challenge

The pharmaceutical team’s initial goal was to promote multiple different product lines within a single campaign, targeting customers with heterogeneous and specific interests.

Effectively promoting pharmaceutical products requires a high level of message personalization based on the customer’s healthcare needs, and the team faced the complexity of creating relevant content for each market segment.

Marketing team challenges
  • Need to create five distinct and specific audience segments
  • Risk of ineffective email campaigns if a single message was sent to everyone
  • Content personalization to maximize relevance for each recipient
  • Managing workloads and promotional content
  • Optimizing performance without compromising personalization
Promote a product / brand / category

EmailGenius technology transformed a complex, human-resource-dependent activity into an automated and efficient process, ensuring that each customer received content relevant to their interests.

01

AI-driven segmentation
Groups built automatically from customer behavior to segment the audience in a precise and automatic way.

02

Personalized recommendations
Relevant product or brand for each customer based on preferences and history.

03

Dynamic email content
Visuals and copy adapted for each segment, making every send much more relevant.

The solution

EmailGenius implemented the “Promote a Product/Brand/Category” feature, which enabled the company to fully automate the segmentation and personalization process, eliminating the need to manually create separate campaigns for each product.

This innovative technology used artificial intelligence to analyze the behavior and preferences of each customer, automatically identifying the most relevant product for every recipient and generating personalized email content based on this information.

Results & impact

The implementation of the EmailGenius solution generated significant improvements across all the main email marketing KPIs.

+32% Open Rate

Increase in open rate thanks to greater content relevance for each recipient.

+60% Click Rate

Significant increase in interactions with email content thanks to the high relevance of the promotions sent.

+64% Customer Loyalty

Significant improvement in customer loyalty, with increased satisfaction and stronger brand perception.

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+30% Revenue Increase

Increase in direct sales generated by email campaigns, with higher conversion on niche products.

-20% Unsubscribe Rate

Significant reduction in unsubscribes thanks to the greater relevance of content and the interest level of each profile.

Campaign performance

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5.000.000 Emails sent during the campaign
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12 months Campaign analysis period
Key insight

By automating segmentation and personalizing email content, EmailGenius helped the pharmaceutical company maximize the effectiveness of its email marketing efforts, leading to greater loyalty, increased revenue, and improved customer performance.

The dynamic approach adopted by EmailGenius demonstrated the potential of artificial intelligence applied to email marketing for managing complex audiences, while ensuring that each customer received highly relevant and personalized communications.

Time savingsElimination of manual segmentation and multiple campaign processes
Increased relevancePersonalized content that responds to each customer's specific needs
Operational efficiencyProcess optimization with fewer resources and better results
Enhanced retentionGreater loyalty thanks to more relevant and less intrusive communications

Transform your multi-product campaigns

Discover how EmailGenius can help you automatically personalize your email campaigns, increasing engagement, conversions, and customer loyalty while reducing the team's workload.

Request a demo