Generative AI boosts productivity, time to market, and innovation for B2B marketers to drive company growth and customer experience.
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Harness the advantages of AI with help from this webinar series featuring the latest expert insights, practical tips, and key steps you and your team can take with this rapidly evolving technology.
Generative AI (genAI) is a generational technology that extends far beyond IT and technology experiences. Marketers are already beginning to see genAI applications that can personalize messaging and scale content production — and that's just the beginning. Join our panel of distinguished Forrester analysts while we discuss how AI will change the future of marketing and customer engagement.
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Generative AI boosts productivity, time to market, and innovation for B2B marketers to drive company growth and customer experience.
Understand the pros and cons of generative AI in media and advertising and how to responsibly incorporate this tech in your marketing processes.
AI will replace 7.5% of US agency jobs by 2030, producing uneven effects. Creative problem-solving skill sets will grow as process-driven tasks wane.
Generative AI will accelerate intelligent creativity, but marketers must ready their organizations to meet legal, ethical, and cultural challenges.
Marketing executives can use Forrester’s GenAI Marketing Adoption Framework to move from pilot projects to adopting genAI across the organization.
Customer success (CS) is a vital business capability that can develop out of several existing functions, including support, sales, or marketing. As a company grows, CS sprawl can increase, making it difficult to consolidate resources under dedicated leadership with the technology and processes designed to achieve agreed-upon outcomes. Maturing CS requires moving away from its dependence on human labor toward digital-led ways to engage and guide customers toward the outcomes they want and the value they deserve.In this webinar, Forrester vice president and principal analyst Laura Ramos shows customer engagement leaders how to use Forrester’s Total Economic Impact™ (TEI) methodology to build a business case for combining distributed, nondedicated resources into a formally chartered CS function with the processes, responsibility, and technology to support any enterprise-scale business. We explore the TEI of three key digital-led investments — a customer-centered digital experience, integration of learning content or technology, and a community-based advocacy program — and what returns you can expect from each.Key takeaways: Learn why now is the time to scale CS using digital-first approaches.Understand four popular, practical ways to extend CS impact by digitalizing postsale experiences.Connect the Total Economic Impact™ (TEI) methodology to smart CS investment.Explore how to build your business case around increasing CS ROI.Target audience level: beginner and intermediate
B2B events play a dominant role in B2B marketing activity, with events spend consistently among the largest budget line items in Forrester surveys. Moreover, with 49% of CMOs believing that events are now more important than they were pre-pandemic, this trend will continue. However, the environment in which teams plan and execute their events has transformed. This webinar shares findings from Forrester’s Q1 2024 State Of B2B Events Survey and highlights areas for leaders to think about as they build a future fit event strategy.Key takeaways: Explore key findings from Forrester’s Q1 2024 State Of B2B Events Survey.Understand what the new omnichannel event mix looks like.Learn how leaders are thinking about the future of their events and their top focus areas.Target audience level: all levels
The B2C commerce solutions market has turned inside out in the past couple of years. Instead of a buyers' market, it's not all about retention as businesses plan to hunker down, rather than replatform. Learn how to be your own retention advocate for the long haul with your current vendor.Key takeaways: Understand the state of the B2C commerce solutions market.See how other B2C businesses are thinking about their commerce vendors today.Learn how to become your own retention advocate in this market, in which businesses are avoiding replatforming.Target audience level: all levels
Real-time interaction management (RTIM) delivers contextually relevant experiences, value, and utility at the appropriate moment in the customer lifecycle via preferred customer touchpoints. Assembling an effective RTIM ecosystem lays the foundation for enabling more immersive, invisible customer experiences. It's an enterprise challenge involving significant investments in both technology and people. Successful projects deliver long-term ROI.RTIM is more than a single technology platform. Your needs may dictate a centralized next best experience (NBX) decision engine, a customer journey orchestration (CJO) solution, a cross-channel marketing hub (CCMH), a personalization engine (PE), or a combination of these capabilities. This webinar helps you choose the right solution to meet your RTIM needs.Key takeaways: Understand the current RTIM landscape.Learn about different RTIM solutions (NBX, CJO, CCMH, and PE).Discover which RTIM capabilities are right for you.Hear best practices examples from leading firms.Vendors mentioned: Adobe, Dynamic Yield by Mastercard, Engage Hub, Genesys, HCLSoftware, Medallia, Microsoft, MoEngage, Monetate, NGDATA, Pegasystems, Salesforce, and SASTarget audience level: intermediate and advanced
Emily Pfeiffer, Forrester principal analyst, presents the state of the commerce search and product discovery market, including the results of the recent Forrester Wave of this market. With the help of Sucharita Kodali, VP and principal analyst, Emily takes your questions — live!Key takeaways: Learn the state of the newly-converged commerce search market.Know who the major players are and how they’re leveraging their recent acquisitions.Target audience level: all levels
Data quality is not a destination but a continuous journey of evolution and prioritization. “Redux” for data quality refers to the ongoing activity of improving data quality as an iterative process. Creating high-quality data involves identification of issues related to data accuracy, completeness and consistency, remediation, continuous monitoring, and maintenance of these processes throughout the lifecycle of the data.Key takeaways:Learn how to identify data quality issues and improve incrementally and iteratively.Understand how data quality can be augmented through automated rules recommendation, dashboards, observability, and statistics.Target audience level: all levels