ON-DEMAND WEBINAR

Breaking Silos: Transforming multi-channel performance with AI-driven optimization

Available on-demand

Cara Marzilli, Sandy de Arango

30 minutes

In today’s customer-first landscape, brands must manage and optimize content and engagement across multiple channels while ensuring seamless, personalized engagement. However, fragmented approach to managing channels lead to operational inefficiencies, rising costs, brand risks and challenges in optimizing content performance. Maintaining quality and compliance across regions is complex, and without unified tools, channel activation becomes a missed opportunity. The increasing demand for scalable content strategies, tailored to diverse audiences, adds further pressure on marketing teams. 

In this session, you’ll discover how to streamline workflows, reduce costs, and foster collaboration with integrated channel management and AI-powered insights. Learn how to achieve a unified, real-time approach to content activation across every customer touchpoint—social media, digital, email, and beyond.  

Key takeaways:

  • Achieving seamless multi-channel activation: Leverage AI-driven insights and workflows to streamline content across all customer touchpoints, ensuring relevance and consistency   

  • Driving measurable impact: Track performance in real-time across channels using key metrics like CTR, content ROI, reach, and CAC to measure campaign effectiveness accurately   

  • Boosting efficiency: Streamline workflows and reduce manual effort with integrated automation, enabling faster go-to-market timelines and maximizing operational efficiency 

Speakers

Cara Marzilli

Principal Solution Consultant

Sprinklr

Sandy de Arango

Senior Solutions Consultant

Sprinklr

Thank you for contacting us.

A Sprinklr representative will be in touch with you shortly.

Watch now

Available on-demand

Welcome Back,

No need to fill out any forms — you're all set.

Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...
Loading...Loading...