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It’s a week until Election Day and the political rhetoric and advertising are running at a deafening volume and staggering velocity. This last part is making it hard for brands to be heard during the critical holiday shopping season. This is especially true in swing states where CPM has risen significantly. This year, many national brands anticipated this and diverted some of their budgets away from competitive swing states, according to CTV and programmatic adtech company Keynes Digital.
David Knight is the Co-founder and CEO of Avarra, an AI-powered platform that simulates human-to-human interactions to accelerate sales onboarding and training. With over 30 years of experience scaling companies from tens of millions to billions in revenue, including WebEx and Proofpoint, David brings a unique perspective on the intertwined nature of product and go-to-market.
Join host Jeb Blount Jr. as he welcomes legendary sales expert, Mark Hunter, to The Sales Gravy Podcast! In this episode they dive into actionable Outbound strategies, discuss the latest AI trends, and reveal why authentic relationships are the cornerstone of every successful sale. Key Takeaways – Success in outbound selling relies on maintaining strict discipline, consistent activity, and following a structured process to keep momentum and drive results. – Results in prospecting don’t happen ov
Speaker: Jady West, VP of Hospitality & Chris Bennett, Head of Sales & Engineering
The modern hotel room is no longer just a place to stay—it’s an experience to remember. Today’s guests expect seamless 5G connectivity, personalized comfort, and high-tech convenience. From AI-powered smart room controls to in-room entertainment and app-based services, technology is redefining hospitality from the inside out. In this new session featuring industry pros Jady West and Chris Bennett, we’ll explore how high-speed, high-bandwidth connectivity powers the innovations that are enabling
So it’s been a sloooow time in SaaS IPOs since the boom times ended in December 2021. There have been just 3 SaaS IPOs since December 2021: Klaviyo OneStream Rubrik And all were strong ones, at $500m+ ARR or so, growing ~50% or so. And that’s it. Two of the Last Three SaaS IPOs Barely Raised Any VC Capital At All But it doesn’t mean there aren’t plenty of good ones waiting.
In today’s tech-driven world, digital transformation is key to building better customer relationships and future-proofing your business. But there’s a catch. Most of these projects don’t hit their goals due to hurdles like misalignment, technical debt, siloed teams, and a “one and done” mindset. In fact, firms spend $1.3 trillion on digital transformation programs annually with the goal of driving efficiency.
Dear SaaStr: What Percentage Owership Do Venture Capitalists Want in Start-Ups? Roughly, it varies by stage, and how big the firm is. The earlier the stage, the more they want to own. And the bigger the firm, the more they want to own: Most Big VC Firms ($600-$2b+ in a fund) want to own 15%-20%+ of a start-up, ideally even 30% in a Series A investmen t.
Dear SaaStr: What Percentage Owership Do Venture Capitalists Want in Start-Ups? Roughly, it varies by stage, and how big the firm is. The earlier the stage, the more they want to own. And the bigger the firm, the more they want to own: Most Big VC Firms ($600-$2b+ in a fund) want to own 15%-20%+ of a start-up, ideally even 30% in a Series A investmen t.
Sales coaching is one of the many key responsibilities of a sales leader and is one of the most effective ways to increase sales performance across your team. In fact, 65% of high-impact sales organizations (75% or more of reps achieving quota) report that sales managers spend 20% or more time coaching. However, many leaders feel it isn’t always possible to get it all done as they lack the time, resources, or know-how to coach, so it’s seen as an afterthought.
Ask any seasoned sales pro about their early sales experience, and chances are, they’ll have a story about door-to-door sales. While not as common as it used to be, this approach to sales is still relevant and widely practiced. In fact, the skills required can help you greatly in other sales approaches and are worth exploring even in our digital age.
T oday, we launch our 2025 SDR motions, metrics, and compensation research. This is our 10th iteration of this project since 2007. This edition will take ~ 6 minutes to complete. If you lead a Sales Development group, please participate. We've redesigned this year’s survey based on your feedback to dig into how things are changing. But, equally importantly, we want to focus in on what outperformance looks like in this environment.
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Last year, we got an unexpected phone call telling us that our 20-year-old customer service management (CSM) system for our technical support organization would be deprecated. This was a huge shock — but as my company’s VP of global technical support, I quickly saw an opportunity to improve our technology. We already had Sales Cloud as our customer relationship management ( CRM ) software, and ServiceNow as our IT service management (ITSM) solution.
We have metrics for virtually anything in selling. We have endless performance metrics, activity measures, pipeline/forecast, deal, prospecting, account retention, growth and other metrics. We have marketing and customer experience metrics. It seems we want to and can measure almost anything in selling, but we struggle with how to use them. As an example, every year, I must review over 1000 pipelines.
CEOs across industries have embraced AI, imagining exponential growth, unprecedented productivity, and radical cost reductions. Yet, many are setting themselves up for failure. The misguided rush to train and deploy Large Language Models (LLMs)—fueled by industry hype and misconceptions that these models alone can solve all AI-related challenges—is a fundamental miscalculation.
B2B marketers face a number of challenges, including: continuously generating great leads converting leads to active sales prospects finding vendors that deliver real results Aggregage has proven content syndication, webinar, online advertising and intent signal marketing programs that deliver higher-quality leads. More than 700 companies have already benefited from our programs.
In design school, I spent many nights seeking inspiration by pouring through biology books, wandering kitchenware stores or exploring empty playgrounds. As a student, I might have been looking for a novel concept for an identity system or a new look for a cookie box. My odd explorations were part of a five-step innovation method I’ve used for many problem-solving projects as a marketer, consultant and analyst.
By Sarah Threet , Marketing Consultant at Heinz Marketing At Heinz Marketing, one of our specialties is marketing orchestration : defining the process of go-to-market. One of the aspects of marketing orchestration is defining the roles and responsibilities of all involved in the go-to-market process. For our clients, we have had the opportunity to implement both DACIs and RACIs.
Customer data platforms (CDPs) are a versatile tool in the martech stack. Whether you’re looking for a solution to power your personalization efforts, consent management, attribution tracking or other use cases where a point solution is available, a CDP is likely capable of meeting your needs. Here are 12 ways your marketing team can use a CDP. 1. A centralized hub for data and reporting The first and most obvious way to use a CDP is as your centralized hub for data and reporting.
Have you ever tried to piece together data to get a better understanding of your customer’s preferences? You have demographic data, a handful of website visits, and maybe some purchase history. But when you try to connect the dots, the picture is blurry. You can see glimpses of who your customer is, but you’re missing the bigger picture. This scenario is a common challenge for many marketers.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
Last month, I attended the Marketing AI Conference (MAICON) hosted by the Marketing AI Institute, an annual event that has grown into a hub for marketers advancing AI in their field. Now in its fifth year, MAICON attracted over 1,100 people interested in AI’s rapid progress and potential. Industry experts like Paul Roetzer, Adam Brotman and Andy Sack shared insights and the unveiling of OpenAI’s new model, “Strawberry,” added a sense of urgency to the event.
Introduction Imagine you’re working on an AI product that can summarize customer success phone calls for training purposes. Your company’s product leverages large language models (LLMs) to summarize, synthesize, triage, and generate relevant outputs. You’re aware that LLMs can hallucinate, output harmful or biased text, or be manipulated through prompt injection attacks.
Only 36% of respondents to a recent Plus Company-Statista survey of 350 marketing leaders revealed they were very happy with using their existing tools to measure the impact of their creative content. Marketers relied on traditional tools like brand tracking, trend analysis on sales/revenue, campaign performance metrics, media mix modeling, attribution modeling and incrementality testing for decades.
Online success hinges on making it fast and easy for users to find what they’re looking for. Shifting channels, evolving consumer expectations, and technologies like AI require teams to be more dynamic than ever. Every customer experience requires extensive planning, with content and technology working together behind the scenes to deliver personalized journeys that engage and convert.
Today’s buyers expect more than generic outreach–they want relevant, personalized interactions that address their specific needs. For sales teams managing hundreds or thousands of prospects, however, delivering this level of personalization without automation is nearly impossible. The key is integrating AI in a way that enhances customer engagement rather than making it feel robotic.
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