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Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

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In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

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Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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As prospects define their problem, search for solutions, and even change jobs, they are generating high-value signals that the best go-to-market teams can leverage to close more deals. This is where signal-based selling comes into play. ZoomInfo CEO Henry Schuck recently broke down specific ways to put four key buying signals into action with the experts from 30 Minutes to President’s Club.

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Savvy B2B marketers know that a great account-based marketing (ABM) strategy leads to higher ROI and sustainable growth. In this guide, we’ll cover: What makes for a successful ABM strategy? What are the key elements and capabilities of ABM that can make a real difference? How is AI changing workflows and driving functionality? This Martech Intelligence Report on Enterprise Account-Based Marketing examines the state of ABM in 2024 and what to consider when implementing ABM software.

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Over the last two years, there’s been a 76 percent increase in AI adoption across sales organizations. The reason for its rise? AI increases teams’ productivity by predicting and automating actions that require manual effort. In other words, the research that takes reps hours, AI can do in seconds. For sales teams, AI opens up a world of new possibilities, including automating outreach, identifying best-fit buyers, and keeping CRMs flush with fresh data.

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Every marketer knows how important it is to prove their efforts drive sales opportunities, but that’s easier said than done. When problems like sales and marketing misalignment, lack of data, and wasted efforts persist, marketers can’t measure, prove, or increase their impact on revenue at a time when demonstrating marketing value is critical. Using analyst and expert data, this guide to marketing impact and content attribution explains: How B2B buyers use content The most common types of conten

Are your sellers unsure about using AI in their day-to-day workflows? Or are they eager to try but uncertain where to start? They might be asking: Which tasks are best suited for AI? How will using AI affect my relationship with my customers? With so many tools available, which ones are the most useful to me? To help answer these and other common questions about using AI during the sales cycle, we surveyed B2B sellers who were early adopters to get their insight and advice about how to use gen A

Quotas need to be hit. Revenue goals need to be met. This reality makes shortening sales onboarding time a top priority. Organizations with a standard onboarding process boost employee retention by 58% and increase productivity by 50%. Unfortunately, many companies struggle with inefficient processes that lead to high turnover and missed revenue opportunities.

Planning on running clinical trials in Japan? How can you reliably supply these studies? Discover Catalent’s clinical supply packaging facility in Shiga, Japan. Strategically located between Tokyo and Osaka, and one of largest in Japan, this 6,000 square meter facility offers comprehensive services including primary and secondary clinical packaging and labelling, comparator sourcing, cold chain storage, local and global distribution, local language support and white glove service to support stud

When selecting a clinical supply provider, consideration often focuses upon the manufacturing, packaging, storage and distribution capabilities available that will, at face-value, be sufficient to meet the needs of the sponsor and their trial. However, there are human-based and knowledge-driven factors that are often overlooked that go beyond these basic physical capabilities and are integral to the development and delivery of high performing clinical supply chains.

As the development pipeline for new drugs continues to grow, biopharmaceutical companies are re-evaluating how to best manage and balance resources across an increasing number of development projects and complex clinical trials. There are two approaches that can be used to speed a drug from development to clinic faster: timeline compression and parallel processing, but only one that considers the benefits of integrating clinical supply into the overall drug development process.

The global landscape of clinical trials is rapidly changing as studies become more complex. An increasing number of sponsors are seeking enhanced flexibility in their supply chains to address a variety of clinical supply challenges, including patient demand and reducing delays. Demand-led supply and direct-to-patient distribution are next-generation solutions that are helping to meet these growing needs, allowing for more streamlined processes and patient-centric studies.