How do you grow like a VC-backed SAAS company without taking on investors? What are the secrets that SAAS CEOs have that the rest of us don't? Do you want to create a lifestyle business, a performance business, or an empire? How do you scale to an exit without losing your freedom?
Join the host Ryan Staley every Monday and Wednesday for conversations with the brightest and best SAAS Founders, CEOs, and Entrepreneurs to crack the code on repeatable revenue growth, leadership, lifestyle freedom and mindset.
This show has featured Startup and Billion Dollar Founders, Best Selling Authors, and the World’s Top Sales and Marketing Experts like Terry Jones (Founder of Travelocity and Chairman of Kayak), Gina Bianchini (Founder of Mighty Networks and prior Co-Founder with Marc Andreessen) and Harpaul Sambhi (Founder of Magical with a previous exit to Linkedin). This is where Scaling and Sales are made simple in 25 minutes or less.
Saas, Saas growth, Scale, Business Growth, B2b Saas, Saas Sales, Enterprise Saas, Sales, Business growth strategy, Founder, VP of Sales, CRO, Chief Revenue Officer, Technology, Leadership, CEO, Management, Hyper-Growth.
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Navigating The Sales Tech Landscape: General Purpose vs. Niche-Specific AI Tools with Dan Gottlieb
Episode 433
Tuesday, September 24, 2024 • Duration 16:36
In this episode, Ryan Saley welcomes back Dan Gottlieb, VP of Sales Tech and Gen AI expert at Gartner, for a deep dive into the evolving landscape of sales technology, particularly focusing on generative AI. Building on their previous discussion, Ryan and Dan explore the differences between general-purpose large language models and niche-specific sales tools, emphasizing the importance of ease of use and integration within existing tech stacks. They discuss the challenges sales reps face in adopting new technologies and the critical role of sales leadership in leveraging data for competitive intelligence and talent development. Dan highlights the pressing need for tools that simplify administrative tasks, allowing sales teams to focus more on selling.
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There is a distinction between general-purpose technologies like large language models (e.g., ChatGPT) and niche-specific sales tools. While general-purpose tools require more effort to extract value, specific tools are designed to integrate seamlessly into sales workflows, making them more user-friendly and effective for sales reps.
Sales professionals should familiarize themselves with the fundamentals of large language models. This knowledge will enhance their ability to leverage similar technologies that are tailored to their specific sales needs shortly.
For sales leaders, the emphasis should be on using case-specific technologies that provide insights into deals and help communicate progress effectively.
There is a significant opportunity for sales leadership to utilize technology for talent development. By providing managers with data-driven suggestions for coaching individual sales reps, organizations can enhance the overall performance of their teams.
A major unmet need in sales teams is the reduction of time spent on non-selling activities. By focusing on automating administrative tasks and improving knowledge management.
BEST MOMENTS
"I think there's more limited upside in the general purpose technologies because of how much effort a sales rep has to put into learning how to use the technology today."
"The value prop of this technology right now is time savings, a little bit of conversion benefit, but mainly time savings."
"I think a lot of folks are jumping over [administrative tasks] because they want to think about AI for conversion, conversion, conversion."
"How do you grow like a VC-backed company without taking on investors? Do you want to create a lifestyle business, a performance business, or an empire?"
"I see some cool software that's focusing on this problem, trying to give managers in natural language suggestions for ways to help individual reps get better at their jobs."
Navigating The Chaos: Insights From Dan Gottlieb On The Evolving Sales Tech Landscape - Part 1
Episode 432
Sunday, September 22, 2024 • Duration 20:53
In this episode, Ryan Staley welcomes Dan Gottlieb, VP of Sales Tech and Gen AI expert at Gartner, to discuss the current chaos and future trends in the sales tech landscape. Dan shares insights from his extensive experience, including the evolution of sales technologies and the impact of generative AI on the market. He emphasizes the importance of understanding the underlying technologies and methodologies to leverage AI in sales processes effectively. The conversation delves into "technology as a teammate," exploring how sales professionals can collaborate with AI agents to enhance their workflows and decision-making.
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The sales tech market is currently experiencing significant disruption, with various categories of sales technologies converging to meet investor growth expectations. This has led to a state of "mayhem" where distinguishing between different products and their capabilities has become increasingly challenging.
The introduction of generative AI has dramatically transformed the sales tech landscape, prompting companies to rethink how they position their products and the value they offer.
Organizations need to shift from a vendor-first perspective to a more informed approach focusing on understanding how technologies work. This includes grasping concepts like Retrieval Augmented Generation (RAG) to ask better questions and make informed decisions about technology investments.
Instead of solely focusing on metrics like expanding the pipeline, companies should thoroughly audit their processes at a granular level. Identifying specific workflows and pain points will help determine where AI can add the most value.
The future of sales technology involves viewing AI not just as a tool but as a collaborative teammate. Sales representatives will increasingly work alongside AI agents to enhance their decision-making and execution capabilities.
Unlocking Growth: Kyle York on Integrating AI into Advisory Services for Startups
Episode 431
Wednesday, September 18, 2024 • Duration 12:10
Ryan welcomes back Kyle York, CEO of York IE, for a deep dive into the innovative integration of AI within business operations. Kyle shares his unique approach to productizing services in the advisory and venture capital space, emphasizing the importance of creating scalable, tech-enabled solutions for startups. The discussion explores the evolving landscape of business models, particularly the shift towards results-driven services, and how companies can achieve efficiency without sacrificing quality. As they navigate the challenges facing early-stage startups in a chaotic economic environment, Kyle offers insights into the future of entrepreneurship and the potential for impactful innovation across various industries. Tune in to discover how to grow a VC-backed company without traditional investment and the strategies that can lead to sustainable success.
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Integration of AI in Business Models: Kyle emphasizes the importance of integrating AI and technology into business operations to create scalable and efficient service offerings, particularly in the advisory and venture capital sectors.
Productization of Services: The approach to productizing services involves listening to the needs of startups and creating a modular advisory-as-a-service platform that aligns with their financial goals, offering various subscription tiers across different business functions.
Demand for Results as a Service: There is a growing trend among business leaders who prefer comprehensive solutions that deliver results rather than just purchasing tools or software. This shift reflects a desire for efficiency and effectiveness in operations.
Preparing for the AI Revolution: Challenges, Opportunities, and the Need for Regulation in the Tech Space
Episode 430
Sunday, September 15, 2024 • Duration 17:15
This episode features Ryan's interview on The Revenue Reimagined Podcast for a discussion on the transformative impact of AI in the tech and sales sectors. He explores the nuances of AI, distinguishes it from automation, and takes a look at the potential challenges and fears surrounding job displacement due to AI advancements. Ryan also touches on the future of autonomous agents and the need for regulatory measures to mitigate risks associated with rapid AI development.
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AI should be viewed as a tool for skill transformation and customization, while automation involves precise processes that need to be executed consistently. Many people mistakenly equate the two, which can lead to ineffective implementations.
Clients come with varying levels of proficiency in AI, and even those who rate themselves highly often have untapped potential. Continuous learning and adaptation are crucial for maximizing the benefits of AI tools.
There is a significant fear regarding job losses due to AI advancements. The potential for widespread unemployment raises concerns about macroeconomic stability and societal impacts if a large portion of the workforce becomes obsolete.
Effective use of AI requires a deep understanding of prompt engineering and the nuances of how to interact with AI models. This foundational skill is essential for leveraging AI effectively in business processes.
The development of autonomous agents, which can execute complex tasks with minimal human intervention, is on the horizon. However, without proper understanding and guidance, these agents could exacerbate existing issues, such as poor communication and ineffective outreach.
The Future of Tech Startups: Kyle York Discusses Market-Driven R&D and Efficient Go-to-Market Strategies
Episode 429
Tuesday, September 10, 2024 • Duration 22:14
Ryan sits down with Kyle York, CEO of York IE, to discuss his innovative business model that combines venture capital with advisory services. Kyle shares insights from his journey of scaling a company from zero to $200 million before its exit to Oracle, highlighting the unique challenges and opportunities of bootstrapping a service-heavy business. They look at the integration of AI and offshore outsourcing within their operations, as well as the importance of a pragmatic approach to growth, R&D, and go-to-market strategies.
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York IE combines advisory services with venture capital, offering a subscription-based model that provides tech-enabled services in research and development, go-to-market strategies, and general administrative support for startups.
The company emphasizes a bottoms-up approach to business building, focusing on understanding market needs and gaps rather than solely on product capabilities. This includes a strong emphasis on financial engineering and capital strategy.
York IE leverages AI and automation to enhance its advisory services, creating tools that streamline processes and improve efficiency. This includes using AI for market research, content creation, and operational analysis.
With a significant portion of its workforce based in India, York IE utilizes offshore resources to provide cost-effective services while maintaining high-quality outputs across various operational functions.
The company acknowledges the challenges of scaling and has learned to focus on optimizing existing services before expanding its offerings. This strategic approach allows for better resource allocation and operational efficiency as they grow.
Insights on Leveraging Technology for Sales and Marketing Success - Modern Startup Marketing
Episode 428
Sunday, September 8, 2024 • Duration 38:19
In today's episode, Ryan is interviewed by Anna Furmanov of the Modern Startup Marketing. Together, they explore the transformative power of AI in sales and marketing. Ryan shares insights on how sales professionals and revenue leaders can leverage AI tools to enhance productivity, streamline processes, and ultimately double their performance while working fewer hours.
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AI tools can significantly reduce the time spent on non-selling activities, allowing sales professionals to focus more on customer engagement and strategic work. For instance, leveraging AI can cut down research and preparation time, enabling salespeople to spend more time with clients.
Specific use cases for AI in sales include analyzing company reports to tailor sales pitches and reframing customer inaction as a loss to encourage decision-making. These strategies can differentiate sales professionals from their competitors.
Crafting effective prompts is crucial for maximizing the output from AI tools. Providing context about the organization and desired outcomes can lead to more relevant and actionable insights.
AI can be used to analyze large datasets and visualize information, helping businesses identify key customer segments and trends. This can streamline the process of creating ideal customer profiles and inform marketing strategies.
While AI can enhance productivity, there are concerns about data security and the potential for misuse. It's important to approach AI with a critical mindset, ensuring that outputs are validated and aligned with real-world insights and expertise.
BEST MOMENTS
Building an AI Advisory Council: A Strategic Approach with Matt Van Itallie | Part 2
Episode 427
Tuesday, September 3, 2024 • Duration 17:03
In this episode, Ryan continues his discussion with Matt Van Itallie, the founder and CEO of SEMA, on the creation of an AI advisory council. Matt shares his vision and strategic approach for the council, focusing on helping technologists share benchmarking data and best practices related to using generative AI in coding. They delve into the different use cases for non-technical knowledge workers and the importance of senior developers in maximizing the benefits of Gen AI tools. Matt also highlights his favourite use cases for leveraging AI tools and the various tools he uses, such as OpenAI's tool, Claude, and Copilot.
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Building an AI advisory council can help share benchmarking data, best practices, and ideas related to using Gen AI code.
Gen AI tools are being used by both technical and non-technical knowledge workers for various tasks such as prototyping, document analysis, and brainstorming new ideas.
Senior developers tend to get the most out of Gen AI tools due to their experience and ability to leverage tools effectively to get to the right answer.
Different Gen AI tools like OpenAI's tool, Claude, Copilot, and ProSearch have different specialties and can be used based on the specific purpose.
The format of the AI advisory council includes a Slack channel, occasional emails, meetups, and sending books to participants to ensure active engagement and value delivery.
BEST MOMENTS
"The most important thing is that teams pick an enterprise-level license, so they protect their IP."
Growing a Tech Company with Gen AI Code Analysis: A Conversation with Matt Van Itallie | Part 1
Episode 426
Sunday, September 1, 2024 • Duration 18:48
In today’s episode, Ryan interviews Matt Van Itallie, the founder and CEO of SEMA. They discuss the challenges of growing a company without taking on investors, and the impact of Gen AI on code analysis. Matt shares insights on SEMA’s revenue, team size, go-to-market strategy, and the importance of building trust with private equity firms. They also look at the challenges and opportunities the use of AI in code checking presents, and the best practices for deploying Gen AI code.
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Unique Go-to-Market Strategies: Utilizing trust-based partnerships and referrals, SEMA has successfully grown its business in the private equity space.
Importance of Gen AI Code: With Gen AI code becoming more prevalent, it is crucial for organizations to manage it effectively to mitigate risks related to IP, security, and exit strategies.
Enterprise-Level Licenses: Ensuring that team members have enterprise-level licenses for Gen AI tools is essential to protect trade secrets and data integrity.
Encouraging Experimentation: Celebrating experimentation and sharing lessons within the team can lead to innovative uses of Gen AI tools and foster a culture of learning.
Addressing Identity Concerns: By equating the use of Gen AI with open source tools, developers can overcome concerns about their coding identity and embrace the benefits of new technologies.
BEST MOMENTS
"Just replace the word Gen AI with open source. Are you a real developer if you use open source? Of course, I am."
“We're absolute proponents of using AI where it makes sense to increase productivity and job satisfaction. And for us, coders using it is probably number one on the list in terms of how much more productive they can be, because it helps avoid some of the routine work. It lets them experiment faster, et cetera.”
A Deep Dive into Performance-Based Pricing with Sahil Patel of Spiralyze | Part 2
Episode 425
Tuesday, August 27, 2024 • Duration 14:26
In this episode, Sahil continues to discuss Spiralyze's unique performance-based pricing model for A-B testing services. Sahil explains how they use a massive data set to predict lift for clients and only charge if results are achieved. Sharing insights on growth challenges, maximizing growth channels, and the need to resist the allure of shiny new tactics, the conversation delves into the evolution of Spiralyze's business model over the years, emphasizing the importance of continuous reinvention and rapid iterations to stay ahead in the market.
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Spiralyze utilizes a unique performance-based pricing model where clients only pay if they achieve the predicted lift in conversions from A/B testing.
The CEO emphasizes the importance of constantly reinventing and adapting the business model to stay ahead of the curve and avoid plateauing growth channels.
Consistent practice and repetitions are key to mastering skills and improving outcomes, as seen in the CEO's dedication to daily sales pitches and LinkedIn posts.
Identifying and overcoming bottlenecks in growth channels, knowing when to shift focus, and resisting the allure of shiny new strategies are crucial challenges in scaling the business.
Sharing knowledge and insights with others in the industry can help build a supportive community and drive collective growth and success.
BEST MOMENTS
"We'll get you this much lift for this much. If we get you less than this, you pay nothing. If we hit a home run, and this is what we think a home run looks like, by the way, just to quantify, it's about 30% lift, conversion lift, in the first three months, you pay us our full fee."
Revolutionizing Website Conversion with AI: A Conversation with Sahil Patel of Spiralyze | Part 1
Episode 424
Sunday, August 25, 2024 • Duration 18:05
Ryan interviews Sahil Patel, the CEO of Spiralyze. Sahil discusses how SpiralEyes helps businesses improve their website conversion rates through conversion rate optimization. He explains the importance of pattern recognition and AI in identifying successful tests and executing them at high velocity. Sahil also shares insights on their unique pay-for-performance model and the advantages of being a self-funded company.
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Spiralyze has a pay-for-performance model, allowing clients to pay based on the results achieved, which is a unique approach in the industry.
The company runs about 40-50 tests a year for clients, significantly higher than the industry average of 10 tests a year, thanks to automation and AI integration.
Spiralyze leverages pattern recognition and AI to identify successful tests across various websites and industries, providing valuable insights for clients.
Using tools like ChatGPT, the company streamlines content creation by reducing unnecessary words and improving efficiency in drafting A/B tests.
Spiralyze is self-funded and has organically grown to a team of 145 people, showcasing the advantages of bootstrapping in maintaining control over the company's destiny.
BEST MOMENTS
"Most of our clients on average get about 20 to 30 percent more conversions on their website when they work with us and use our product."
"If you want to take and get big wins, you want to take big swings."
BEST MOMENTS
"The state of the market in one word, I would call it mayhem."
"A lot of companies right now are very much stuck in a vendor first point of view, where they're learning about what sales tech companies are providing."
"How do you grow like a VC-backed company without taking on investors?"
"AI is capable of handling tasks at a far more granular level."
"I believe that that is really where it's going to be: an individual contributor seller is going to have a team of agents that they're managing."
Market Disruption and Innovation: Ryan and Kyle highlight the potential for disruption in traditional consulting and professional services industries by leveraging technology, automation, and subscription models to create more agile and responsive business solutions.
Future Outlook for Startups: Despite current economic challenges, there is optimism about the entrepreneurial class's ability to innovate and drive significant impact in the coming years, suggesting a resilient spirit within the startup ecosystem.
BEST MOMENTS
"There's a real gap on the go-to-market side for companies... I wanted to take that expertise and experience, but productize it and build it into a platform for the startup landscape."
"I thought there was an opportunity for a one-stop resource hub... to integrate technology, AI, and automation to build the next great companies."
"Every industry can be disrupted and models can be evolved... companies are going to take a different spin or slant on the company they want to build in that sector."
"I think everybody's looking for a little bit of a lowering of the heat... and I have strong faith that the entrepreneurial class is going to make a huge impact in the next couple of decades."
"AI is not a catch-all, but you could use it as a team of helpers for any individual department or organization."
"There's going to be a lot of people that lose their jobs if the government doesn't get their shit together."
"Even people that rate themselves as a four out of five still have a ton that they could use it for that they're not."
"I think if the government doesn't step in and regulate, you're going to see significant wide-scale unemployment that is going to change the face of the country."
"If you don't understand how to effectively even prompt, what you're going to do is have an autonomous agent that scales shit."
"Our model is a subscription-based model where we sell tech-enabled services in R&D, go-to-market, and G&A. Each service is modularized and has different tiering structure and price points based on what your startup needs support on."
"AI to me is only as good as the data that you feed it and humans' ability to leverage it... Too often, I'm seeing AI as the be-all, end-all and not the enhancement or differentiation of things."
"We basically created a platform called Fuel... It’ll go crawl the datasets that we have and look for companies and points of views and perspectives and spit you back those topics."
"Business building is hard... Not everything I'm saying is created equal. Some of our services are growing faster, have higher revenue or higher margin, or are more tech and AI-enabled than others."
"I think like kind of the way to look at it is most people just look at it as a productivity enhancer. You know, it helps me write emails. It helps me do this, which I think is a massive misappropriation."
Give me 3 or 5 examples of companies that have successfully implemented this strategy and break down tactically exactly what they did. So then you have real-world examples to pull from. And then you could also say, ask it to cite its sources as well.
"Let's say you've got this challenge at work and maybe you don't have other folks on the team, right? Or you don't have other people to talk to about this challenge. You could literally just like tell it what the challenge is and then say, can you help me figure out how to solve this? What are three approaches you would take?"
"If I don't need it, I'm not going to use the tool. Whereas some people are like, Oh my gosh, this is a new flashy, shiny object. I must use it."
"We try to be experimentalist in everything we do, whether it's figuring out the products to build or features, including AI Advisory Council. So, we heard what they wanted to get out of it and how they wanted it structured. Today, it is a Slack channel, an occasional email and occasional meetup."
"I am certain there is huge ROI on the coding side. It's at least 40x over a two year period in terms of how much more productive coders are relative to the to the cost of enterprise licenses."
"My mission in life is to help founders and revenue leaders avoid all the pain and suffering in revenue growth so they can flip it and create a life of their own design."
"I've been finding like 30 different use cases, most of them new per client that I work with."
"I personally did about 100 sales pitches and reworked it over and over and over. I still am very involved. I do about five a day."
"Here's the reality: what worked for us six years ago wasn't going to get us to the next level. And what's working for us now? I don't know what the shelf life on it is, but I think it's safe to say, whether it's a year from now, two years from now, three years from now, it's going to plateau."
"I found most marketing campaigns, a lot of the problems can be solved just by removing 30 to 50% of the words."
"Sometimes 90% of people leave the site and don't do anything. If you had a restaurant, and 100 people walked in the restaurant, and all but three left, you'd say you have a big problem. And yet every day, generally speaking with B2B websites, that's what's happening. 100 people are coming, 97 of them leave and don't do anything. And it's really expensive to get all that traffic there."
"A test that works on someone's paid landing page, paid traffic, has very different characteristics than say organic traffic. So to make a meaningful prediction, it needs to be relevant to the website."
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