Nimble Email Marketing allows users to send unlimited e-mails and to create campaigns using a drg-and-drop editor or pre-delivered templates. Jon Ferrara, founder and CEO of Nimble says that “With Nimble Email Marketing, our customers can now scale their outreach and strengthen relationships like never before.”
While trying to learn for myself what Generative Artificial Intelligence (GenAI) was, I wound up jotting down some notes during my studies that may be useful for someone else embarking on the same journey I just went on. Here, I’ve adapted those notes to help you, the reader, hopefully tackle some quick concepts around Generative Artificial Intelligence.
While it’s certainly not uncommon for multiple startups to target the same problem, it’s rare to see all of them experience rapid growth. But that’s apparently the case for startups that automate content creation for sales teams, investors say.
Not all enterprise AI projects are successful. But for the winning approaches, patterns are emerging. Blue Star Ltd's analytics and AI pursuits are supported by a technical team with a "business first" mindset. Here's what I learned from Blue Star CIO Udit Pahwa.
Hey friends - Although I joined the dark side (became an Apple user) 5 years ago, Google Contacts remains my "single source of truth" for contact information.
Google has heated up the app-building space, today rolling out a generative AI-powered end-to-end app platform that allows users to create custom apps in minutes.
AI-powered sales playbook is a game-changing approach that combines the efficiency of AI with the strategic insights of a seasoned sales coach. With tools like Bounti.ai, sellers can transform how they work, closing more deals without sacrificing their sanity.
Almost all companies invest in AI, but just 1 percent believe they are at maturity. Our research finds the biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough.
We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company. Working on real product innovation challenges, professionals were randomly assigned to work either with or without AI, and either individually or with another professional in new product development teams. Our findings reveal that AI significantly enhances performance: individuals with AI matched the performance of teams without AI, demonstrating that AI can effectively replicate certain benefits of human collaboration. Moreover, AI breaks down functional silos. Without AI, R&D professionals tended to suggest more technical solutions, while Commercial professionals leaned towards commerciallyoriented proposals. Professionals using AI produced balanced solutions, regardless of their professional background. Finally, AI’s language-based interface prompted more positive selfreported emotional responses among participants, suggesting it can fulfill part of the social and motivational role traditionally offered by human teammates. Our results suggest that AI adoption at scale in knowledge work reshapes not only performance but also how expertise and social connectivity manifest within teams, compelling organizations to rethink the very structure of collaborative work.
Does your sales approach take buyer personas into consideration? You know, that ideal customer profile of your best potential prospect? Deeply knowing “who” you are selling to is critical in developing a successful sales approach. In this article, we will explore the concept of buyer personas and how sales reps can apply the principles of perception and persuasion for improved performance.
Different campaigns serve different purposes. And as customers move through their journey, their engagement with your emails shifts. If you’re only focused on one metric across every stage, you’re likely misinterpreting success, leaving valuable opportunities on the table.
Reasoning skills are foundational to the success of marketing teams, especially as more organizations and teams adopt artificial intelligence. As marketing leaders seek opportunities to use AI for classic marketing activities such as content creation, research and data analysis, they must protect critical reasoning skills on their marketing teams.
It's a scenario CMOs know all too well: After investing tens of thousands or even millions into martech tools—often locking into long-term platform deals—you expected a revolution in efficiency and performance.
Many years ago, I read a study that indicated that the human brain can only effectively manage 150 person-to-person relationships at any given point in time. This statistic has stuck with me over the years, especially when thinking about some of the typical practices within our industry. While the study was focused on all relationships – personal, familial, professional, etc. – I consistently draw a parallel to the typical size of a major gift officer’s portfolio.
Proactively managing the sales pipeline by ensuring every deal has a scheduled next step is critical for preventing stalled opportunities and improving closing rates.
This paper, in Cabrera’s words, “sets down a flag at the crossroads of sales and systems thinking. It may be a town someday, and right now, it’s an outpost, the first of specifically applying systems thinking to the industry of sales.”
Having a well-defined ICP provides value to every team in your company. Marketing uses it to refine ad targeting and create more relevant content, case studies, and messaging. Product teams better understand who they’re building for. Sales knows where to focus the majority of their efforts. When you know exactly who you’re targeting, you can craft better messaging, prioritize leads more effectively, and ultimately close deals faster. In short, having a well-defined ICP keeps teams aligned and helps you grow more efficiently.
Reporting on local SEO efforts is more than just tracking keyword rankings—it’s about gaining deep insights into search performance, competitor activity, and customer sentiment. Whether you’re managing multiple locations or working with a range of clients, having the right tool stack is essential for scaling your efforts, improving decision-making, and showcasing results effectively.
Defining your target market is critical to your business's success. In this guide, you'll learn how to identify your target audience to create more efficient marketing campaigns that increase conversions and drive better results.
You won’t maximize your productivity and profit until you know your numbers. Once you do, decision-making is faster and easier. But sadly, I’ve been in too many meetings where folks clearly didn’t know their numbers. And it was hurting them.
The moment each of us took on the role of founder, we stepped into a landscape where uncertainty was the only constant. Markets shift unpredictably, products fall flat, competitors gain ground, and teams stretch to their limits. Chaos isn’t the exception. It’s the rule. But here’s the truth many founders miss: Chaos isn’t our enemy. It’s our proving ground. Great founders don’t just endure volatility — they leverage it by becoming antifragile.
Finding the right B2B customers can be tricky, especially when you're trying to reach busy decision-makers.
So, how do you cut through the noise and grab their attention? Cold email automation could be the solution.
CRM needs to work for you, not against you. This guide will tackle those tricky bits head-on and give you practical tips to sail smoothly through the process.
Brand loyalty and customer engagement are assuming greater importance in today’s highly competitive markets. Companies are always looking for newer ways to strengthen their connections with customers and enhance their overall user experience.
For years, Key Account Management (KAM) has been confined within the walls of CRM systems—Salesforce, Microsoft Dynamics, and HubSpot. The logic was straightforward: if customer data already lives inside a CRM, why manage key accounts elsewhere?
But this assumption, simple as it is, hides a fundamental flaw.
Content marketing is rapidly innovating and evolving as artificial intelligence has grown beyond a “new” competitive advantage and become closely integrated into editorial workflows.
Content marketers must react quickly, learn to use new tools, and — maintain transparency in the age of AI.
In an artificial intelligence-first-world, the value of customer service as a way to optimize costs and deliver experiences that drive customer retention and company revenue remains unchanged. Yet AI has fundamentally changed how customer service is delivered. Generative AI-powered conversational interfaces can now be embedded into every channel to automate simple interactions. AI agents using large language models and predictions can now automate more complex work. Human agents use AI assist tools to increase their productivity.
