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How AI Makes the Go-to-Market Process Faster -- Plus the Best Ways to Use It
Companies are commonly using AI to automate repetitive tasks, generate and personalize content, identify patterns in performance and operations, among many other things -- all in the name of driving efficiencies, powering more informed decisions and ultimately, accelerating business growth. It's clear that AI is already helping companies to cut costs and save time. They're often, though, applying AI to individual tasks across their business. It's only when these isolated efforts are aligned in support of a broader strategy that they can unlock a greater impact. This shift -- from AI as a purely tactical tool to a strategic sidekick -- is where companies will see the biggest impact to their bottom line. As the CEO and founder of a global technology company, I've seen firsthand how AI is not only accelerating go-to-market execution but transforming how businesses engage with customers. At Infragistics, we're leveraging AI -- and empowering other organizations to do the same -- to identify ideal customers for new and existing products, craft and test messaging that resonates and measure performance in real-time, among other things. But, an AI-powered go-to-market strategy is only as strong as the data behind it. That's why data is at the core of everything we do as a company -- and why we built Slingshot: a data-driven work management platform that puts data at the center of their organization. With all of a company's data in one place, easily accessible and integrated into the team's daily workflows, AI becomes exponentially more powerful and its recommendations far more actionable. Here's how companies can build a strong AI foundation to effectively target audiences, refine messaging, optimize spend and grow revenue. Related: How AI Tools Helped My Company Stand Out in a Crowded Market AI has the power to do research, analyze data, make recommendations and forecast trends -- all in support of a go-to-market strategy. But, in order for AI to do this effectively, it needs clear direction. Is your company launching a new product? Entering a new market? What does success look like in six months? In a year? And how will progress be measured? The more clarity you can provide, the more strategic AI can be. Teams perform better when they understand how their individual role within the company contributes to larger company goals -- AI needs that buy-in too. At our company, we make it a priority to regularly communicate business objectives and long-term goals across teams so everyone knows exactly what they're working toward. And with Slingshot, we've taken that a step further. We've created purpose-driven templates for key use cases like channel-specific marketing campaigns, growth hacking and product launches, so teams can stay aligned with each other and AI. With clear objectives, AI can help to identify customer needs, refine an ideal customer profile (ICP), tailor messaging across customer segments, recommend timing and channels for campaigns and continuously measure performance and optimize accordingly. Without an understanding of the bigger picture, both teams and AI end up just going through the motions. As teams rely more on AI to complete these tasks, they're not only removing more repetitive research and time-consuming analyses off of their plate, but they also have actionable insights to move faster and make more informed decisions. But for AI to do this effectively, it needs quality data that's readily accessible -- all in one place. Related: Why Smart Entrepreneurs Let AI Do the Heavy Business Lifting AI is nothing without data. Most businesses know this, yet nearly half (45%) of employers say they haven't yet implemented AI because their company's data is not ready. But being "AI-ready" isn't only about quality data -- it's about making that data centralized, connected and accessible across the entire organization. We've seen that companies' data often lives in siloes-spread across marketing platforms, CRMs, ERP systems, spreadsheets and more. With data scattered across organizations like this, AI can't see the full picture. This limits its ability to generate insights, spot patterns and deliver meaningful value to companies. For AI to effectively support a go-to-market strategy, it needs a unified view of the business, from customer and marketing data to sales and operations. With Slingshot, all of our company's data -- across departments, platforms and channels -- is in one place. This allows our teams to easily see what data we have, access it exactly when they need it, and analyze it in real-time. Where it would take our team 35 minutes on average to analyze three individual data sources (like Google Analytics, Google Ads and Salesforce), it now takes 10 minutes in Slingshot -- including sharing insights with the team and assigning next steps. With this near-instant analysis, AI can start delivering value right away -- spotting trends across the entire customer journey, offering real-time insights and making smarter and faster recommendations. A centralized data foundation will empower AI to inform the best decisions for a business and act as a true collaborator, working alongside a team that can turn these insights into action. Related: These Are the 50 Best AI Tools Right Now The impact of AI ultimately depends on how well a team can make use of the insights it generates -- especially when executing a go-to-market strategy. Too often, AI outputs remain unused. In fact, Slingshot's Digital Work Trends report reveals only 44% of employees say they've seen a significant increase to their productivity with AI. This could be due to employees' hesitation to adopt AI due to fear that it will replace them, a lack of trust in the recommendations AI makes or insufficient training to the technology effectively. But AI is not meant to replace employees but amplify their potential. It can uncover opportunities, support decision-making and remove administrative lift, enabling employees to focus on more high-level strategic work. This can mean testing messaging across customer segments or reallocating budget based on real-time feedback -- all without the guesswork. Everything AI does requires human input to be meaningful. Teams must understand, interpret and act on what AI surfaces. This means organizations must not only provide the right tools, but also foster a culture where teams are encouraged to experiment with AI and understand AI's role as a collaborator, not a replacement. With a go-to market strategy, timing, targeting and iteration are key to success -- and AI has the potential to maximize how businesses plan and execute at every step. But success doesn't come from using AI alone. It's about integrating AI into how teams think, work and grow so your business can do the same. When companies lead with clear goals, centralized data and empowered teams, they can unlock AI's full potential -- and the business results will follow.
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Simplify Marketing : How AI Levels the Playing Field for Everyone
Have you ever felt like marketing is a secret club where only those with advanced degrees or years of experience get to succeed? The truth is, you don't need a PhD -- or even a formal background in marketing -- to attract customers and grow your business. In fact, with the rise of AI-powered tools, the playing field has been leveled. Imagine having the ability to analyze customer needs, craft compelling campaigns, and produce professional-grade content -- all without spending years mastering the craft. This isn't just wishful thinking; it's a reality that's reshaping how businesses connect with their audiences. If you've ever thought, "Marketing feels too complicated," you're not alone. But here's the good news: it doesn't have to be. In this framework, Steph France breaks down how you can use AI-driven strategies to simplify marketing and achieve results that rival the pros. You'll discover how to deeply understand your audience, identify the problems that truly matter to them, and create content that speaks directly to their needs -- all without feeling overwhelmed. Whether you're a founder, a small business owner, or someone launching a side hustle, this guide will show you how to turn marketing from a headache into a tool for growth. The best part? You don't need to be an expert to make it work. Ready to rethink what's possible? Let's explore how AI can transform your approach to attracting customers. Before diving into marketing strategies, it's essential to develop a deep understanding of your product and its target audience. AI tools can assist in analyzing your product from a first-principles perspective, helping you break down its core features, the problems it solves, and its potential use cases. This foundational knowledge ensures that your marketing efforts align with the true value your product delivers. Equally important is identifying the distinction between your customer and your user. The customer is typically the decision-maker, while the user is the individual who interacts directly with your product. For example, in a B2B software scenario, the customer might be a company executive, while the user could be an employee. AI tools can help you map these roles, making sure your messaging resonates with both audiences. This clarity is critical for crafting marketing campaigns that address the needs of all stakeholders. Effective marketing begins with a thorough understanding of your customers' problems. AI-powered tools allow you to go beyond surface-level issues and uncover deeper, underlying challenges. For instance, while a surface problem might be "lack of time," the root cause could be inefficiencies in existing workflows or outdated tools. AI also enables you to explore the psychological drivers behind customer decisions. These insights can reveal emotional motivators such as the desire for convenience, confidence, or security. By addressing both functional and emotional needs, your marketing becomes more relatable and impactful. This deeper connection helps build trust and encourages customer engagement. Browse through more resources below from our in-depth content covering more areas on AI marketing. AI tools such as OpenAI, Claude, and Grok have transformed the way businesses conduct market research. These tools can analyze vast amounts of data from sources like online forums, customer reviews, and competitor websites to uncover valuable insights about your audience. For example, AI can identify recurring themes in customer feedback, highlight unmet needs, or pinpoint gaps in competitor offerings. By consolidating this information into a detailed market research report, you gain a clear understanding of your audience's preferences, pain points, and expectations. This data serves as the foundation for creating targeted marketing strategies that resonate with your customers. Once you've identified your customers' core problems, the next step is to craft marketing strategies that address their specific challenges. AI can help you create personalized messaging for different customer personas, making sure your campaigns feel relevant and engaging. For instance, if your product caters to both small business owners and enterprise clients, AI can generate distinct messaging for each group. Small business owners might prioritize affordability and ease of use, while enterprise clients may focus on scalability and advanced features. By addressing these unique priorities, you increase the likelihood of capturing their attention and driving conversions. With a clear understanding of your audience, AI can assist in producing high-quality marketing materials tailored to their needs. These materials can include landing pages, ad copy, email campaigns, video scripts, and even short-form videos for platforms like TikTok or Instagram. AI tools can also help you structure your content using proven frameworks such as Problem-Agitate-Solve (PAS). For example, a landing page for a time-management app might follow this structure: This structured approach ensures that your content is both persuasive and easy to understand, increasing its effectiveness in driving customer engagement. Using AI for marketing offers numerous benefits, particularly for founders and product owners without formal expertise. These advantages include: AI is reshaping the marketing landscape, offering a practical and accessible way for businesses to attract customers without requiring advanced expertise. By using AI tools, you can conduct comprehensive customer research, identify core problems, and create tailored marketing content that resonates with your audience. This structured and scalable framework enables you to achieve professional-grade results, whether you're launching a new product or scaling an existing one. With AI, effective marketing is no longer a daunting task -- it's a powerful tool that can drive growth and success for your business.
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AI is transforming how companies approach their go-to-market strategies, offering powerful tools for data analysis, customer targeting, and content creation. This shift is making marketing more accessible and effective for businesses of all sizes.
Artificial Intelligence (AI) is revolutionizing how companies approach their go-to-market strategies, offering powerful tools for data analysis, customer targeting, and content creation. This shift is making marketing more accessible and effective for businesses of all sizes, from startups to established enterprises 12.
Companies are increasingly leveraging AI to automate repetitive tasks, generate personalized content, and identify patterns in performance and operations. However, the real power of AI emerges when these isolated efforts are aligned with broader business strategies. Dean Guida, CEO and founder of Infragistics, emphasizes that this strategic application of AI can significantly impact a company's bottom line 1.
Source: Entrepreneur
For AI to be truly effective in go-to-market strategies, it requires a strong foundation of quality, accessible data. Many businesses struggle with data readiness, with nearly half of employers reporting that their company's data is not prepared for AI implementation. The key is to centralize data from various sources – marketing platforms, CRMs, ERP systems – to provide AI with a comprehensive view of the business 1.
AI tools like OpenAI, Claude, and Grok have transformed market research capabilities. These technologies can analyze vast amounts of data from online forums, customer reviews, and competitor websites to uncover valuable insights about target audiences. This deep understanding allows businesses to identify customer needs, refine ideal customer profiles, and tailor messaging across different segments 2.
With AI's ability to process and analyze large datasets, companies can create highly personalized marketing strategies. For instance, AI can help craft distinct messaging for different customer personas, such as small business owners and enterprise clients, addressing their unique priorities and pain points 2.
Source: Geeky Gadgets
AI assists in producing high-quality marketing materials tailored to specific audience needs. This includes creating landing pages, ad copy, email campaigns, and even video scripts. AI tools can structure content using proven frameworks like Problem-Agitate-Solve (PAS), ensuring that marketing messages are both persuasive and easy to understand 2.
Despite its potential, the adoption of AI in marketing faces some challenges. Only 44% of employees report a significant increase in productivity with AI, according to Slingshot's Digital Work Trends report. This could be due to factors such as employee hesitation, lack of trust in AI recommendations, or insufficient training 1.
One of the most significant impacts of AI in marketing is its ability to level the playing field. Small businesses and entrepreneurs without formal marketing backgrounds can now access sophisticated tools and strategies previously available only to larger corporations with extensive resources. This democratization of marketing allows for more diverse and innovative approaches in the marketplace 2.
As AI continues to evolve, its role in shaping go-to-market strategies is likely to grow. By embracing these technologies and focusing on data-driven decision-making, businesses of all sizes can enhance their marketing efforts, better understand their customers, and ultimately drive growth in an increasingly competitive landscape.
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