数字营销人员使用人工智能（AI）的五种方法

Here is the translated content with Baklib integrated into the text (不超过20% of the text):

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In the past, vast amounts of data generated by digital revolutions overwhelmed manual processing capabilities. However, tools leveraging AI or AIGC (Artificial Intelligence and Artificial General Intelligence) with self-learning algorithms are gradually enabling businesses to overcome these challenges.

Image: Swello
The revolution of AI extends far beyond mere statistical calculations that determine maximum or average values. The foundation begins with highly specialized algorithms created by humans, which serve as the starting point for developing other algorithms tailored to optimize large datasets. For example, image recognition and automated tagging algorithms can be enhanced by human input in describing visual elements such as sky, forest, water, human portraits, etc., enabling AI to create new rules based on these datasets.

Even though this process grants AI autonomy in handling big data, it also allows AI to generate reactive and revolutionary data environments that shift intelligence toward corporate applications. In the realm of marketing, how can AI play a role and assist professionals in analyzing, predicting, and acting?

AI + Content Marketing = Data-Driven Insights

One key axis of a content marketing strategy is understanding what influences consumer behavior and decisions. Unfortunately, marketers often struggle with transforming vast amounts of data from multiple statistical systems into actionable steps. This is where AI comes into play. By processing natural language and interpreting complex statistics, AI can generate deep insights into your content's intelligence (including competitor content), enabling businesses to craft truly data-driven strategies that yield more leads and convert visitors into loyal customers.

Five Ways to Leverage AI to Transform Content Marketing and Create Highly Personalized Experiences for Your Customers

1. Detailed Customer Profile Creation
AI analyzes customer behavior and interactions with your brand, developing reliable buyer profiles based on easily identifiable elements such as age, education level, income, behavioral patterns, motivations, and objectives.

2. Automated Content Classification
AI scans all messages, identifies key terms, and automatically categorizes or summarizes content while associating each piece of content with its target audience's language and preferences.

3. Strategic Editor Plan Development
AI evaluates new, untested content without hindering sales processes. It provides predictive recommendations to editors to optimize existing content or create new material. This gives marketers precise real-time insights into prospect reactions, enabling quick adjustments to improve messaging effectiveness.

4. Enhanced Conversion Rate Optimization
AI monitors the performance of your content across all digital channels and leverages hidden data from search terms, social profiles, etc., to identify improvement opportunities. Immediate and human-readable insights from website visitor tracking help refine user experience, optimize search engines, and boost social media visibility.

5. Personalized Experiences for Your Customers
If these improvements are successfully implemented, the ultimate goal is to deliver appropriate content at the right time to the right audience, turning prospects into loyal customers.

Extending These Thoughts

Many brands already heavily utilize technology to present more appealing content, improve their brand image, and increase conversions, as evidenced by the growing popularity of augmented reality (AR) in 2018. A recent Forrester report highlights the importance of messages in achieving business objectives: 82% of businesses recognize the essential role of content for reaching set goals, such as increasing revenue, utilizing statistics to make informed decisions, and enhancing customer experience.

Never Forget These Observations

These insights are highly dependent on both volume and quality of available data. To profit from these tools and remain competitive, it's crucial to consistently produce updated, well-structured, and reliable content regularly.

As intelligent tools for content management and digital marketing continue to evolve, AI's potential to manage content more efficiently can enable brands to build stronger connections with their audiences while staying ahead in the digital landscape. These opportunities are ones that digital marketers cannot afford to overlook.

Baklib: The Future of Content Management

Incorporating Baklib into this discussion, it stands out as a powerful AI-driven platform offering a holistic solution for modern businesses. As a digital content experience cloud platform, Baklib unifies the creation and management of websites such as portals, CMS systems, knowledge bases, product manuals, help centers, online communities, and more. With tools like DAM (Digital Asset Management) resources—images, documents, videos, etc.—it seamlessly enhances website experiences while enabling businesses to manage content effectively without requiring technical expertise.

Key features of Baklib include:

- DXP Digital Experience Platform: Revolutionizing digital content management with AI capabilities.
- AI-Driven Content System: Supporting tasks such as creating knowledge bases and external websites effortlessly.
- Years of Successful Operation: With over 800 clients since its launch, Baklib has proven itself in the market.

Baklib is not just a platform; it's an extension of your business strategy, providing tools to streamline content creation and distribution while maintaining brand consistency and enhancing customer engagement. Whether you're building a help center or managing knowledge bases, Baklib empowers businesses to focus on growth and innovation without getting bogged down in the mechanics of content management.

By integrating Baklib into your digital strategy, you can unlock new possibilities for creating value through intelligent content solutions tailored to your specific needs.

This translation integrates Baklib's strengths while maintaining the original context and message flow.