Is AI a limitation for B2B marketing?

Welcome to Marketing in the Age of Machines. Each week, we bring you the following:

👉 An innovative marketing strategy that has worked for others.

👉 The 3 most relevant contents in marketing, AI, and business that will help you understand the ever-changing landscape.

👉 3 tools for the Marketer of the Future.

👉 The quote of the week. A simple take on everyday marketing concepts.

🤓 Not many people know this about Google Ads

Problem:
Many businesses dive into Google Ads without adequate preparation, leading to wasted budgets and poor returns on advertising spend (ROAS). They often underestimate the importance of strategic planning and thorough groundwork, resulting in campaigns that fail to engage the target audience and achieve desired outcomes. This oversight can cause significant financial losses and inefficiencies in their marketing efforts.

Solution:
To ensure a successful Google Ads campaign, businesses should follow nine crucial steps: study the audience, conduct keyword research, develop compelling marketing angles, understand different campaign types, gather necessary ad assets, set up accurate tracking, upload existing customer lists, optimize the offer, and enhance the website for better conversion rates. By executing these steps, businesses can significantly improve their ROAS and scale their campaigns effectively.

Lesson:
The key takeaway is that success in Google Ads is determined before the ads go live. Proper preparation, including understanding the target audience, refining ad content, and optimizing the website, is essential for high ROAS and effective campaign scaling. Investing in these preliminary steps prevents wasted expenditure and maximizes the advertising budget's effectiveness, leading to more profitable and efficient marketing efforts.

Are you taking these steps to ensure your Google Ads campaigns are set up for success?

1/. Using AI in B2B Marketing: Use Cases, Limitations & Examples:
Artificial intelligence (AI) has evolved from a sci-fi fascination to a game-changing reality in modern business, including B2B marketing. As companies navigate the balance between innovation and integrity, AI technologies like machine learning are revolutionizing marketing processes. From automating content creation and enhancing analytics to enabling personalized customer interactions, AI offers significant potential for improving efficiency and ROI in B2B marketing strategies. Embracing AI isn't just a trend but a strategic imperative for companies aiming to stay competitive and relevant in today's market.

Insights for B2B Marketing Directors

• AI-powered predictive analytics can significantly improve lead scoring accuracy by analyzing complex data sets and identifying patterns that human analysis might miss. This ensures that sales teams focus on the most promising leads, enhancing conversion rates.

• Beyond basic segmentation, AI can analyze vast amounts of customer data to predict individual preferences and deliver hyper-personalized content in real-time. This level of customization enhances engagement and builds stronger customer relationships, ultimately driving loyalty and repeat business.

Read the full post here:

2/. Meta’s Threads is struggling to win over content creators:
Meta's social network Threads, launched a year ago to compete with Twitter, is struggling to attract content creators despite its efforts. Many creators find Threads lacks a clear purpose and isn't essential for their content strategy. While some appreciate its text-focused, low-pressure environment, they invest significantly less time compared to platforms like Instagram and Facebook. Despite some user growth, Threads remains far behind Meta's other platforms. This underscores the challenges platforms face in establishing a distinct identity and engaging users effectively.

Read the full post here:

3/. A new era of creativity: Insights from leaders in AI:
In a rapidly evolving advertising landscape, AI is redefining creativity, as revealed by insights from 15 global leaders. They emphasize that integrating AI into creative processes involves three key steps: forming dedicated task forces, applying AI at every stage of creativity, and building AI-powered experiences. Task forces are crucial for responsible AI use and innovation, ensuring tools are effectively utilized across strategy, ideation, and production. AI not only accelerates insights and creative development but also enhances production efficiency.

Read the full post here:

👉 Tools in the Age of Machines:

Smarter license: A platform for managing and licensing creative assets, including tools for acquiring, selling, managing, and distributing creative assets, as well as legal services and pricing plans.

RedactAI: An AI-powered tool designed to help users enhance their LinkedIn posts by providing writing suggestions and optimizing content for engagement.

ReadAI: Helps you get more out of your meetings. It automatically joins your meetings, takes notes, creates summaries, and provides highlights.