Swan Boosts Email Engagement by 40% with CleverTap Platform

Swan, a burgeoning force in the UAE’s e-commerce sector, was faced with a unique challenge after its 2019 inauguration. Despite a promising start and an array of offerings, stagnation crept in, especially with user engagement. The company needed a potent solution to reinvigorate its user base and propel them from occasional visitors to frequent shoppers. The prime target was to raise the dormant user base back into action, a task that would not just augment transaction frequency but also spread a vibrant user-engagement ethos across the platform.

To address this, Swan turned to CleverTap, a platform known for its prowess in crafting tailored user experiences. Their quest was straightforward, escalate user involvement and spur repeat business by tapping into the latent potential of existing customers. Swan hoped that through intelligent engagement strategies, they would not only retain their customer base but also see a surge in orders and overall activity within the app.

Strategizing the Revival

The strategic pivot that Swan undertook under CleverTap’s guidance involved a granular analysis of user behavior and a subsequent hyper-personalization of communication. Each email campaign was meticulously planned and executed, taking into consideration the diverse preferences and habits of their user base. By segmenting the audience keenly, they could tailor their messaging to resonate on a personal level with each segment, making the campaigns more relevant and engaging.

The results were nothing short of remarkable. Swan’s email engagement rates, once languishing, soared by 40%. It became evident that when it comes to user re-engagement, a one-size-fits-all approach is not only ineffective but also detrimental to growth. Through constant A/B testing, multi-channel outreach, and bespoke messaging, Swan found the key to reactivating their audience, effectively bringing back 3% of its dormant customers with refined precision.

CleverTap’s Role in Swan’s Strategic Campaign

Swan’s adoption of CleverTap revolutionized their marketing with data-driven insights. Within the vast data oceans Swan held, CleverTap’s analytics cast light on user behaviors and preferences, pivotal in crafting tailored email campaigns. This advanced segmentation allowed Swan to deliver resonant messaging to their audience, stepping away from ineffective general campaigns to more engaging, individualized communication.

Real-time analytics fed into campaign adjustments, enabling a dynamic marketing strategy responsive to user engagement. Swan’s use of these insights meant their campaigns were continuously optimized, leading to greater user interaction and higher sales. A notable feature of CleverTap was the re-engagement of inactive users, affirming the system’s powerful role in defining and driving successful customer engagement strategies for Swan. This adaptability and insight meant Swan could keep their marketing both effective and relevant.

Re-engagement: Fostering a Return to Activity

In any e-commerce business, and more so in the app-centric world, rekindling the spark in dormant users is essential. CleverTap’s platform armed Swan with a suite of tools designed to engage and re-engage users with precision. The return of inactive users by 3% was not a stroke of luck but the result of meticulous re-engagement campaigns. The key to their strategy was not merely reaching out but doing so with relevance, timing, and personalized touch that encouraged users to return and transact.

Sidharth Pisharoti, representing CleverTap, highlighted the significance of their engagement strategies in boosting Swan’s campaign metrics. It was the combined effect of smart segmentation, timely messages, and A/B testing that crafted the pathway for dormant users to re-engage with the platform. The 15% hike in orders from these reactivation campaigns demonstrated the potential of tailored re-engagement to convert disengaged users into active, contributing members of the e-commerce ecosystem.

Explore more

Is the Mistic Backdoor Hiding in Your Security Tools?

Introduction The emergence of the Mistic backdoor represents a sophisticated advancement in the arsenal of modern cybercriminals, specifically those operating within the niche of Initial Access Brokering (IAB). This malicious software, also identified by some security researchers as MLTBackdoor, has been actively infiltrating corporate environments throughout the first half of 2026. Its primary strength lies in its ability to camouflage

Is the Redmi 17C the New King of Budget Smartphones?

Dominic Jainy is a seasoned IT professional with a deep understanding of how hardware evolution impacts the budget mobile market. Today, he breaks down Xiaomi’s latest strategic move with the Redmi 17C, a device that surprisingly leaps over a generation to deliver high-refresh-rate displays and massive battery life to the entry-level segment. We explore the balance between essential utility features,

How Can PowerTool Speed Up Business Central Data Migrations?

Modern enterprises frequently encounter significant friction during ERP transitions because traditional data migration methods often fail to accommodate the sheer volume and complexity of contemporary datasets. In 2026, the demand for agility within Microsoft Dynamics 365 Business Central has reached a point where standard configuration packages, while functional for small tasks, often act as a bottleneck for larger implementations. The

How to Move Beyond the Portal to a True Developer Platform?

Dominic Jainy stands at the forefront of the modern cloud-native movement, possessing a deep technical mastery of artificial intelligence, machine learning, and blockchain architectures. With years of experience navigating the complexities of large-scale IT infrastructures, he has become a leading voice in the evolution of platform engineering. His perspective is shaped by the practical realities of moving beyond simple automation

Will AI Token Costs Soon Surpass Developer Salaries?

Recent financial projections indicate that the cost of maintaining high-frequency artificial intelligence interactions is rapidly approaching the median annual compensation of experienced software engineers in the global market. As the software development industry undergoes a radical transformation, the traditional overhead associated with human labor is being challenged by the sheer volume of data processed through large language models. This shift