The AI Marketing Revolution: How to Implement 2033's Best Practices Today

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It is obvious that the digital marketing landscape is changing rapidly day by day, making digital marketers’ challenges even bigger. We are currently on the verge of a new era that directly threatens established marketing tools and practices. According to Forbes, top-performing companies are more than twice as likely to be using AI for marketing. Therefore, marketers need to adapt swiftly to this new status quo. The scope of this article is to provide useful insights on future marketing tools and best practices.

Let’s envisage the future. For the sake of this example, we’ll imagine a simple scenario: A retailer, called ABC-D, is gearing up for the holiday shopping season and wants to run a comprehensive promotional campaign across multiple marketing channels, deploying AI tools. They’re aiming to achieve a hyper-personalized customer approach that will drive sales, in a cost-efficient manner. 

First of all, ABC-D needs to know their competition’s offerings to decide on their own offers. AI algorithms scrape data from competitors' websites, social media accounts, and other online sources to gather information on their holiday promotions, pricing, product offerings, and marketing content. After this is done, the AI recommendation engine uses insights from the competition analysis to suggest products, promotions, or pricing adjustments based on competitor strategies.

Secondly, ABC-D wants to start improving their organic sales by ranking higher in search engines. An AI-powered SEO tool identifies keywords that competitors are ranking for but ABC-D is not. It also highlights keywords where competitors are performing better or worse. Then, the AI suggests topics and themes for blog posts and content creation based on the content gaps and keyword opportunities identified. It provides insights into what type of content is currently in demand. The AI offers recommendations for the structure, format, and length of blog posts, even suggesting specific titles, headings, and subheadings for optimal SEO performance.

The tool identifies the backlinks pointing to competitors' content and suggests potential opportunities for acquiring similar high-quality backlinks.

To make the copywriting easier, ABC-D uses a generative AI content writing tool. Using natural language processing (NLP) and machine learning algorithms, the AI generates the initial draft of the blog post. It structures the content, including introduction, main points, subheadings, and a conclusion. The AI seamlessly integrates the selected keywords into the blog post, ensuring that they appear naturally and at appropriate density levels. It also provides suggestions for related keywords. The AI creates relevant images and automatically generates alt text for them. It ensures that images are appropriately credited and optimized for accessibility and SEO. Before publishing the blog post, the AI verifies that the content is unique and written in accordance with the brand's voice.

Now, ABC-D wants to create a bunch of new targeted landing pages to support their holiday campaign. For this, they use an AI-powered landing page builder. They choose from a selection of pre-designed landing page templates designed to be visually appealing and optimized for conversions. The marketer customizes the layout, color scheme, and branding elements of the landing page to align with their brand identity. The AI then generates the initial content for the landing page, including the headline, subheadings, and body text. It incorporates the chosen keywords naturally into the content. The AI also recommends images, videos, or other multimedia elements to enhance the landing page further. The AI ensures that the landing page is responsive and optimized for mobile devices, as mobile-friendliness is a crucial SEO factor.

For upgrading their content quality and overall customer experience, ABC-D needs more video content. So, they use an AI-powered video avatar platform. The platform produces lifelike videos aligned with a content plan that delivers the company's communication style. It generates AI-driven videos that complement their most pertinent content. This is accomplished by categorizing the retailer's customer database into segments. These segments are then targeted, and the platform automatically suggests opportunities to elevate these posts to sponsored ads on platforms like TikTok, YouTube, and the Google Display Network.

Of course, this is the right time for ABC-D to share their content on Social Media, so  they use an AI-powered social media planner. They are looking to schedule posts in advance, taking into account optimal posting times for each social media platform and the AI suggests optimal times based on audience activity. AI recommends relevant keywords and hashtags to incorporate into social media posts, helping to improve discoverability and reach. The AI can design images, and video snippets to accompany text-based content, making posts more visually appealing and shareable. The AI provides recommendations for the ideal post length for different platforms (For example, shorter posts for Twitter and longer posts for LinkedIn).

Next, ABC-D wants to make the most of their existing customer database. They use an AI-powered campaign manager to achieve this, creating segments such as; loyal customers, last year's holiday shoppers, new subscribers, and more. The AI then analyzes customer data to personalize messages. For example, it includes the recipient's name and mentions past holiday purchases or preferences when crafting the content. The AI considers the preferences and behaviors of each customer segment to determine the most effective channels for reaching them, before generating message content tailored to each. It knows how to create concise SMS messages, appealing social media posts, and detailed email newsletters, ensuring the message is optimized for each channel. The campaign manager conducts automated A/B tests on different message variants, for each channel to identify the most effective content, timing, and call to-actions. 

AI also takes optimal send times for each channel into account. For instance, SMS messages were scheduled to arrive in the morning, while email newsletters were sent during non-working hours. Finally, the campaign manager aggregates data from all channels and provides real-time analytics. It tracks open rates, click-through rates, conversion rates, and other relevant metrics, allowing ABC-D  to make data-driven decisions and optimize their campaigns further.

After launching the campaigns, ABC-D handles the incoming customer inquiries and transactions, deploying AI Chatbots. When a customer inquires about a promotion via Facebook Messenger, WhatsApp, or Website chatbot, the chatbot provides details and even processes the purchase.

Finally, it may surprise you to learn that the scenario that we’ve just run through is not just a dream of the future; this a real example of how you can achieve remarkable results for your business, if you use the available customer data in concert with the right tools. Keep in mind that these tools and technologies are already available - You just need to discover them. 

For more information, get in touch with the experts at WayMore today.

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