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Anticipating Desires For Predictive Repurchasing
Objective 1: Structure dynamic content (CIA) to scale personalization without increasing the team’s manual workload.
Objective 2: Integrate predictive product lifecycle models to trigger offers at the repurchase “golden moment.”
Objective 3: Align business goals and sustainability by promoting refills and reverse logistics within digital journeys.
, Diretora CRM, Natura
, Sr Manager Ecommerce, Natura
Role: Marketing
Industry: Retail
Product: Marketing
Topic: Cross-Channel Orchestration and Lifecycle Marketing
Session Level: Intermediate
Session Type: Theater
- Thursday, Jun 41:00 PM - 1:20 PM CDT(6:00 PM - 6:20 PM GMT)Theater 2 | Campground, Level 3FIRST COME FIRST SEATED
Session Summary: This session highlighted how Salesforce's comprehensive technology stack, including Marketing Cloud, Commerce Cloud, Service Cloud, Tableau, and 360, is enabling companies to transform customer engagement through hyper-personalized and data-driven strategies. By leveraging predictive intelligence and AI, businesses can deliver timely, contextual messages that anticipate customer needs, resulting in a 50% increase in conversion rates and four times higher return on ad spend (ROAS). Additionally, omnichannel orchestration and smart profitability strategies ensure seamless customer experiences across digital platforms and physical interactions, while balancing sales volume with brand equity. The session emphasized the importance of scalable, predictive, and 1:1 customer relationships, supported by a solid data foundation and a culture of continuous testing and learning to drive impactful results for both customers and businesses.
Key Takeaways:
• Salesforce's 360 platform serves as the foundation for CRM success, enabling seamless integration of data, scalability, and personalized customer engagement at scale.
• Hyper-personalized campaigns powered by AI and predictive intelligence have driven a 50% increase in conversion rates and four times higher ROAS, showcasing the potential of advanced analytics in customer engagement.
• A test-and-learn mindset, combined with strong partnerships and dedicated data teams, ensures continuous improvement and innovation in delivering tailored and impactful customer experiences.
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