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Customer acquisition was hard until I understood these 9 strategies. They took me 10 years to learn and I’ll teach them to you in 3 minutes.   They are simple, but hard for people to do consistently. 1. Account-Based Marketing (ABM) - Identify and prioritize high-value target accounts. - Develop personalized content and campaigns for each account. - Collaborate with sales teams to ensure consistent messaging. 2. Referral Programs - Offer incentives for clients who refer new businesses. - Create a seamless referral process to encourage participation. - Highlight successful referral stories to motivate others. 3. Content Marketing and Thought Leadership - Develop in-depth whitepapers, case studies, and industry reports. - Regularly publish blog posts and articles on industry trends. - Host live Q&A sessions and webinars to engage your audience. 4. Strategic Partnerships - Identify potential partners that complement your offerings. - Negotiate mutually beneficial partnership agreements. - Collaborate on joint marketing campaigns and events. 5. Webinars and Online Events - Host webinars that address common industry pain points. - Feature guest speakers and industry experts to add value. - Follow up with attendees to nurture leads. 6. Targeted Advertising - Use LinkedIn and industry-specific platforms for ad placements. - Implement retargeting campaigns to re-engage interested prospects. - Optimize ads based on performance metrics and feedback. 7. Email Marketing - Segment your email list to target specific industries and roles. - Personalize email content to address recipient pain points. - Automate follow-up sequences to nurture leads over time. 8. Industry Conferences and Trade Shows - Attend key industry events to network with potential clients. - Sponsor or speak at conferences to increase brand visibility. - Follow up with contacts made during events to build relationships. 9. Podcasting - Create a podcast that covers industry trends and insights. - Interview industry leaders and influencers to add credibility. - Promote your podcast through social media and email marketing. 🔥BONUS: Master 1 and you will scale.  🔥🔥Master 2-3 and and you will be in the top 1% All of These strategies will help you acquire high-value B2B customers. Enjoy this? ♻️ Repost it to your network and follow Ryan Staley for more. Want to become Superhuman through the use of AI? Join our community of 3,100+ subscribers today: https://lnkd.in/ekH2wZyi

Why is Meta giving away its $1.1 Billion+  investment in Llama for FREE? The best revenue doesn't come from luck. The best revenue comes from smart strategies. Meta's short-term and long-term revenue strategies are prime examples. Short-Term Revenue Generation Enhanced Advertising Revenue: Meta's main short-term revenue comes from its advertising business, which benefits greatly from AI advancements. By integrating Llama 3.1 into platforms like Facebook, Instagram, and WhatsApp, Meta can boost user engagement and ad targeting. This attracts more advertisers and increases ad revenue. In Q2 2024, advertising revenues jumped by 26.8% year-over-year, making up 97.8% of total revenues. AI-Powered Features: AI-driven features like improved feed recommendations, better business-to-customer interactions on WhatsApp, and enhanced content discovery on Instagram can lead to higher user engagement. This increases the time users spend on Meta's platforms, making them more appealing to advertisers. Long-Term Revenue Generation Ecosystem Development: By open-sourcing Llama 3.1, Meta aims to build a strong ecosystem of developers and researchers who contribute to the model's improvement. This can lead to innovative applications and tools that enhance Meta's core products, driving long-term user engagement and retention. Cost Savings and Efficiency: Open-sourcing Llama allows Meta to benefit from community contributions, reducing the costs associated with developing and maintaining proprietary AI models. This can lead to long-term cost savings and improved operational efficiency. Value-Added Services: Meta can monetize Llama 3.1 by offering premium services like custom model training, fine-tuning, and deployment support. These services can be especially attractive to enterprises looking to leverage advanced AI capabilities without needing extensive in-house expertise. Strategic Investments: Meta's significant investments in AI infrastructure and research are expected to pay off in the long run. The company's capital expenditures for 2024 are projected to be between $35 billion and $40 billion, primarily to support its AI roadmap. These investments aim to position Meta as a leader in AI technology, driving future revenue growth through innovative products and services. Regulatory Compliance and Trust: Open-sourcing AI models can help Meta build trust and transparency with regulators and users. This can mitigate regulatory risks and enhance the company's reputation, which is crucial for long-term sustainability. Overall, Meta's strategy of open-sourcing Llama 3.1 is designed to drive immediate gains in advertising revenue while laying the groundwork for long-term growth through ecosystem development, cost savings, value-added services, and strategic investments in AI infrastructure. It’s always good to know the end game when something seems off. Really interesting strategy by Meta.

Forget everything you know about problem-solving. (Charlie Munger Inversion thinking) Charlie Munger's "Inversion Thinking" is about to flip your world upside down. As the Vice Chairman of a multi-billion dollar corporation you have to look at things differently. Here's how you can too: 1. It's Not About What to Do. It's About What NOT to Do. - Traditional thinking: "How can I succeed?" - Inversion thinking: "How could I spectacularly fail?" Avoiding stupidity > Seeking brilliance 2. It's Your Cognitive Bias Kryptonite - Smashes confirmation bias - Forces you to challenge your assumptions - Reveals your blind spots Result? Clearer thinking, better decisions. 3. It's Your Early Warning System - Identifies hidden risks - Uncovers overlooked vulnerabilities - Prepares you for worst-case scenarios Forewarned is forearmed. 4. It's Your Decision-Making Superpower - Balances optimism with realism - Considers both upsides and downsides - Leads to more robust strategies The outcome? Decisions that stand the test of time. 5. It's Your Innovation Catalyst - Provides fresh perspectives on old problems - Uncovers solutions hidden in plain sight - Breaks you out of conventional thinking patterns Sometimes, the best way forward is backward. The power of inversion thinking: - Overcomes cognitive biases - Identifies hidden risks - Improves decision-making - Enhances problem-solving - Increases resilience How to apply it: - State your goal - Flip it: "How could I ensure I never achieve this?" - Analyze those failure scenarios - Use insights to strengthen your original plan Remember: Sometimes, the best offense is a good defense. Inversion thinking isn't just a tool. It's a mindset. It's not about pessimism. It's about pragmatism. Are you ready to think differently about thinking differently? Enjoyed this? ♻️ Repost and follow for more unconventional wisdom. Want to become a mental model master? Join our community.

5 ChatGPT 4o Use Cases that 99% Missed After testing this for 14 hours (across a wide range of applications), the tool is significantly better OUTSIDE of all of the exciting bells and whistles. 1. Leverage AI-Powered Voice Assistants: - Utilize AI voice assistants for real-time interactions with customers. - Explore emotion detection and expression features to enhance customer engagement. - Incorporate multimodal capabilities like video, text, and voice for a seamless customer experience. 2. Utilize AI Tools for Language Translation: - Implement AI tools for real-time translation in multiple languages to cater to a global audience. - Explore AI-powered language translation features to improve communication with international clients. - Consider the impact of AI language translation tools on existing language learning platforms. 3. Maximize Free AI Resources: - Take advantage of free AI tools like GPT-4 for vision, data analysis, and real-time browsing. - Evaluate the benefits of using free AI resources for advanced data processing and analysis. - Consider upgrading to premium AI models for additional features and capabilities. 4. Adopt Desktop Versions of AI Models: - Explore the desktop version of AI models for convenient and efficient development. - Embrace faster and cost-effective desktop AI models for enhanced productivity. - Evaluate the performance differences between desktop and cloud-based AI models. 5. Incorporate AI-Driven Business Planning and Decision-Making: - Use AI models for reasoning, planning, and memory to improve business strategies. - Implement AI agents that can think multiple steps ahead and across various systems for better decision-making. - Explore lighter weight AI models for low-latency tasks to streamline operations and tasks efficiently. Things are changing so fast! I can’t wait to see what happens! What are your favorite use cases from the ChatGPt4o release? #chatgpt4o #openai #artificialintelligence

I've cracked the code on AI implementation without knowing any coding. Here's the secret: There are 2 types of Chief AI Officers: 1. The Technical Maestro 2. The Human Potential Unleasher Most companies focus on #1, but #2 is where the magic happens. Here's why: 1. AI Innovation is Cheap for Individuals Companies spend millions on AI. Individuals can innovate for pennies. Entry-level employees can outperform entire AI departments. 2. Your People are Your Gold Mine Your most valuable asset? Your people. Ignoring them in your AI strategy is a huge mistake. 3. Augmentation Beats Automation Automation isn't everything. Empower your people with AI. Don't replace them. 4. AI-Human Collaboration Teams can create campaigns, personalize outreach, and prototype at lightning speed—all without coding. 5. Hitting Tight Timelines AI-powered teams save months on projects, hit impossible deadlines, and outpace competitors. 6. Converting Missed Opportunities AI-empowered teams catch all missed leads, create personalized content, and close unexpected deals. 7. Igniting Team Motivation Show your team how to be AI-powered cyborgs. The result? High motivation, creativity, and belief in limitless possibilities. 8. New Problem Solvers AI-empowered teams redefine what's possible without changing job titles. 9. Democratizing Expertise AI levels the playing field. Junior employees can craft high-level presentations, conduct research, and generate insights. 10. ROI of Human-Centric AI Investing in AI-powered humans yields huge productivity, faster time-to-market, and higher employee satisfaction. How do you implement this? - Identify AI Champions: Find curious innovators and give them resources. - Create AI Playbooks: Document wins and share best practices. - Celebrate AI Wins: Highlight successes. - Invest in AI Education: For everyone. - Foster an AI-Positive Culture: Encourage experimentation and reward innovation. The takeaway? You don't need coding skills to lead AI implementation. You need people skills. The real AI revolution is happening in your team’s minds. Ready to unleash it? Ask yourself: 1. Who are my potential AI champions? 2. What processes could be supercharged with AI? 3. How can I make AI accessible to everyone? Remember: The human element is your secret weapon in AI. Implement AI-powered humans and watch your company soar. Want to transform your team immediately? 🤖 Connect and DM me to learn more.

I've unlocked a secret weapon in sales. The Pareto Principle (80/20 rule) transformed my career, enabling me to: • Free up 10 hours a week • Perform 140% better • Reduce stress Here are 10 insights to revolutionize your sales: 1. Identify Your Critical 20% Focus on high-value client meetings, personalized follow-ups, and strategic networking. Result? More deals closed, less time wasted. 2. Amplify Your Strengths Double down on top clients and quality follow-ups. Experience compound growth in deals closed. 3. Leverage AI for the 80% Use AI for initial prospect research, drafting emails, creating content, and deal evaluation. Gain 10 extra hours a week. 4. Use AI for Deep Insights AI provides sales patterns, creative pitches, and emerging trends. It's like having a team of analysts. 5. Ruthless Prioritization Prioritize tasks in your critical 20%. Delegate, automate, or eliminate the rest. 6. Optimize Your Time Spend 80% of your time on high-impact activities and 20% on low-value tasks. 7. Amplify Existing Trends Use Pareto and AI to accelerate your sales strategy. 8. Embrace Continuous Learning Regularly analyze which activities drive results, where you're wasting time, and new opportunities. AI helps spot patterns. 9. Make Data-Driven Decisions Use historical deal data, AI insights, and 80/20 analysis to eliminate guesswork. 10. Scale Your Success Whether solo or leading a team, use the 80/20 rule and AI to multiply results. Success in sales is about working smarter, not harder. Embrace the Pareto Principle and leverage AI for a 140% performance boost. Ready to transform your sales career? Ask yourself: • What's my critical 20%? • How can I leverage AI? • Where am I wasting time? Focus beats effort every time. The Pareto Principle isn't just a theory; it's a career-changing strategy. Embrace it and watch your income soar. Enjoy this? ♻️ Repost and follow Ryan Staley for more. Want to become Superhuman through AI? Join our community of 3,100+ subscribers today.

I've been paralyzed by focus mistakes. And it's been killing my startup's growth. Here's the hard truth: God gave me a beautiful gift, but I nearly squandered it. The gift? Limiting the number of new customers I could take on. Sounds counterintuitive, right? But here's the pattern I keep falling into: 1. Setting unrealistic goals I make goals with aggressive timelines. But I ignore crucial variables: • Sales cycles • Market readiness • Team capacity Result? Setting myself up for failure before I even start. 2. Missing revenue targets Those unrealistic timelines? They lead to part 2 of missed revenue goals. I see these all the time with CEOs, CROs and CMOs I work with so why do I make the same mistake? I aimed for the stars but forgot to build the rocket first. Its better to slowly build a Ferrari than rapidly build a Fiat. 3. Ignoring positive progress Here's the kicker: I’m seeing insane upward momentum: • Deeper product engagement than ever before • Positive CSAT ratings • 30%+ referral rate • Executing on the upsell motion But I ignore it all. Why? Because I'm fixated on arbitrary numbers. 4. Chasing shiny objects This is where it gets really messy. Instead of doubling down on what's working, I: • Pursue NEW products • Target lower-ticket items • Chase freemium models All while my high-end product is begging to be bought. 5. Diluting focus The result? I spread myself thin: • New instead of better with Marketing channels • Quantity over quality • New Innovation over Optimized innovation I'm trying to boil the ocean when I should be perfecting my fish tank. But here's what I've learned: Focus isn't about doing more. It's about doing less, but better. Here's how I'm breaking the cycle: 1. Embrace constraints I'm learning to love the limits God gave me as well as creating my own. Fewer customers initially = More focus More focus = Better results for my customers 2. Set realistic goals I'm factoring in all variables: • Sales cycles • Market conditions • My expertise and Team capacity No more pie-in-the-sky targets. 3. Celebrate small wins I'm acknowledging progress, no matter how small: • Every positive CSAT rating • Each referral • Any upward trend These are the building blocks of success. 4. Say no more often Every "yes" to a new idea is a "no" to improving what's already working. I'm learning the power of "not now." Sometimes, the path to growth is narrower than we think. It's not about doing more. It's about doing what matters, consistently and relentlessly. Are you making the same mistakes? Ask yourself: • Am I chasing new at the expense of better? • Am I ignoring positive signals? • Am I setting myself up for failure with unrealistic goals? It's about what you choose not to do. Choose wisely. Enjoy this? ♻️ Repost it to your network and follow Ryan Staley for more. Want to become Superhuman through the use of AI? Join our community of 3,100+ subscribers today.

I've uncovered a silent epidemic in the business world. And it's costing companies millions. The COO of a $300M company recently told me: "There's a lot of unconscious incompetence with AI usage." After training over 1,000 people on how to use it I am seeing patterns of people missing the opportunity. Here are the warning signs you're falling behind: 1. You only use AI for writing emails You're barely scratching the surface. AI can: • Generate marketing copy • Analyze complex data sets • Automate repetitive tasks Limiting AI to email is like using a smartphone only for calls. 2. You lack curiosity The AI landscape evolves daily. Top performers: • Read AI news religiously • Experiment with new tools • Push boundaries constantly They're not content with the status quo. Are you? 3. You don't use AI daily AI isn't a once-in-a-while tool. It's your new co-pilot. Elite performers integrate AI into: • Decision-making processes • Problem-solving routines • Creative brainstorming They leverage AI's power every single day. 4. You've only used one version ChatGPT isn't the only player in town. Top performers explore: • Claude • Perplexity • Midjourney • Runway They understand each tool's strengths and use them strategically. 5. You're "too busy" to implement it This is the biggest red flag. You're not too busy to implement AI. You're too busy not to. AI saves time. Period. Top performers carve out time to learn and implement AI. They know it's an investment that pays exponential returns. 6. You don't collaborate with AI enthusiasts AI thrives on collective intelligence. Top performers: • Join AI communities • Attend AI workshops • Share AI discoveries with colleagues They understand that AI knowledge compounds when shared. 7. You haven't created new use cases AI isn't just about using existing applications. It's about imagining new possibilities. Top performers: • Identify unique business challenges • Craft custom AI solutions • Pioneer innovative AI applications They're not just users. They're creators. 8. You don't use AI in your personal life AI isn't just for work. Top performers use AI for: • Fitness tracking • Meal planning • Personal finance management • Language learning They understand that personal AI use enhances professional skills. 9. You're waiting for someone else to take initiative In the AI revolution, there are two types of people: • Those who make things happen. • Those who watch things happen. Top performers are in the driver's seat. They take initiative, experiment boldly, and lead the charge. Which category do you fall into? The unconscious incompetence problem with AI is real. But awareness is the first step to mastery. Will you lead? Or be left behind? Enjoy this? ♻️ Repost it to your network and follow Ryan Staley for more. Want to become Superhuman through the use of AI? Join our community of 3,100+ subscribers today

China's "War of a Hundred Models": The race is on. Chinese tech companies are battling to lead in AI. Here's a deep dive into China's AI landscape: 1. Rapid Growth: China's AI sector is booming. With at least 130 large language models (LLMs), they hold 40% of the global share. This is just behind the US, which has 50%. 2. Major Players: Big names like Tencent, Baidu, Alibaba, and Huawei are leading the charge. But it's not just the giants. Startups are also making waves. 3. Industry-Specific Models: The market is seeing a surge in industry-specific LLMs. These models link to core models, making the offerings even more diverse. 4. Resource Allocation: The rapid emergence of LLMs has led to a saturated market. This means a lot of resources, especially computing power, are being used. 5. Price War: Companies like ByteDance, Alibaba, and Baidu are slashing prices on LLM-based services. This intense competition is all about attracting users. 6. Business Models: Despite the abundance of models, many struggle to find viable business models. This raises concerns about the sustainability of this growth. 7. Practical Applications: There's a big focus on how these models can be used in real-world scenarios. The practical application is key to their success. 8. Sustainability Concerns: With so many models and so much competition, there's a real concern about how sustainable this growth is. China's "War of a Hundred Models" is a fascinating look at the intense competition in the AI space. The rapid growth, major players, industry-specific models, resource allocation, price war, business models, practical applications, and sustainability concerns all paint a vivid picture of this AI revolution. Is the new Arms race a LLM race? Is the US in trouble? What influence do you think this will have on the future of work?

It took me 3 years to truly understand SAAS GTM, but you can learn it in 3 minutes. From, early stage to pre IPO these are the patterns I ‘ve observed. 1. Freemium Model - Ideal target contract value: $10-$100 per month - Founder background: Product management, UX design, growth hacking - Example: Slack - Free version with limited features driving rapid adoption and upselling 2. Product-Led Growth - Ideal target contract value: $50-$500 per month - Founder background: Software engineering, product management, data analysis - Example: Zoom - Intuitive, high-quality product driving its own adoption 3. Content Marketing and Thought Leadership - Ideal target contract value: $500-$5,000 per month - Founder background: Marketing, journalism, industry expertise - Example: HubSpot - Massive content library establishing thought leadership in digital marketing 4. Strategic Partnerships - Ideal target contract value: $5,000-$50,000 per month - Founder background: Business development, sales, networking - Example: DocuSign - Partnered with Salesforce to expand reach in the CRM ecosystem 5. Community Building - Ideal target contract value: $100-$1,000 per month - Founder background: Community management, social media, customer success - Example: Atlassian - Strong user community through forums, events, and user groups 6. Influencer Marketing - Ideal target contract value: $500-$5,000 per month - Founder background: Marketing, PR, industry connections - Example: Monday.com - Leveraged influencers and YouTubers to showcase capabilities 7. Search Engine Optimization (SEO) - Ideal target contract value: $50-$500 per month - Founder background: Digital marketing, content creation, technical SEO - Example: Canva - Optimized website for design-related searches, driving organic user acquisition 8. Account-Based Marketing (ABM) - Ideal target contract value: $10,000+ per month - Founder background: Enterprise sales, B2B marketing, industry expertise - Example: Demandbase - Targeted high-value accounts with its own ABM platform 9. Product Referral Programs - Ideal target contract value: $100-$1,000 per month - Founder background: Growth hacking, customer success, data analysis - Example: Dropbox - Successful referral program offering free storage space 10. Customer-Centric Approach - Ideal target contract value: Any range - Founder background: Customer success, product management, UX research - Example: Intercom - Product suite built around solving customer communication challenges You can avoid the biggest mistake I see over and over. Wrong strategy for the contract value. These strategies will transform your SaaS business. Enjoy this? ♻️ Repost it to your network and follow Ryan Staley for more. Want to become Superhuman through the use of AI? Join our community of 3,100+ subscribers today: https://lnkd.in/eGtChmMh