Predict and Adapt: How Machine Learning Can Optimize the Entire Customer Journey | Sponsored Content | Tech-Talk Webinar | On-Demand

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Marketers know the customer experience (CX) is essential to get right. Yet, incorporating critical data isn’t always easy.

With AI and machine learning, companies can gain important insights into how to best serve their customers, improve marketing results, and deliver real-time customer experiences. According to McKinsey & Co., 80% of companies that have adopted an AI marketing and sales use case reported a revenue increase.

eMarketer was pleased to moderate a Tech-Talk Webinar featuring Redpoint Global's Bill Porto, senior engineering analyst, and Steve Zisk, senior product marketing manager, for this Tech-Talk Webinar. They explored how machine learning can be applied to customer data to predict and adapt to changing trends, behaviors, and responses for every kind of journey.

Watch this webinar and learn:

• Why defined audience segments can help marketers pick the best message
• What’s needed to personalize offers, messages, and actions in real time
• How to optimize the customer journey from initial touch points to lifelong relationships

Presenters

Bill Porto is a senior engineering analyst at Redpoint Global. Bill is an expert on computational intelligence and the application of it to real-world problems across a variety of domains. At Redpoint Global, Bill leverages this expertise to apply machine learning techniques to complex business problems for the company’s clients.

Steve Zisk is a senior product marketing manager at Redpoint Global. Steve is a seasoned technology professional with more than 35 years of expertise in software engineering and product marketing. At Redpoint Global, Steve is tasked with developing messaging and marketplace positioning for the company’s customer engagement platforms.