Highlights:

  • AI algorithms streamline the identification of high-value customers by analyzing their characteristics and behaviors, revealing strong purchase intent.
  • AI algorithms streamline the classification of customers into loyalty tiers to assess their brand engagement effectively.

Picture a business landscape where AI-generated marketing campaigns are so personalized and effective that customer engagement reaches unprecedented levels. Or consider a scenario where the integration of AI in marketing is so precise that it compels customers to make a purchase.

In 2024, businesses will be able to achieve the above dreamy scenarios with effective AI campaigns. The transition towards AI-driven approaches opens avenues for imaginative and personalized advertising, enhancing resonance with audiences. Explore the crucial elements of utilizing AI in marketing campaigns in this guide.

We’ve gathered seven dynamic AI campaigns tailored for 2024 to adapt to shifting customer expectations. These campaigns are strategically crafted to support varied in attaining a range of goals, including:

  • Mitigating order returns
  • Enhancing customer engagement and loyalty
  • Escalating sales and profitability

According to Gartner, in 2026, 80% of creative experts will leverage GenAI in marketing, speeding up diverse content creation for highly personalized and precisely targeted experiences. Evidently so, the time has come to use artificial intelligence for marketing campaigns.

Let’s have a look at these seven hottest AI marketing campaigns:

Campaign 1: Personalized recommendations based on context

This campaign aims to offer personalized product recommendations aligned with individual profiles and interactions.

The role of AI

Artificial intelligence plays a crucial role in providing personalized recommendations such as “new arrivals” or “most-loved styles” on websites. These suggestions are customized based on each visitor’s browsing history and preferences. This ensures that the product recommendations are tailored to meet the distinct needs of first-time visitors, loyal customers, and other shoppers, regardless of their level of interaction with the brand.

Results

  • Improved shopping experience
  • Deepened brand loyalty
  • Heightened conversion rates

Real-world use

Imagine you run a fitness apparel store catering to a diverse audience, including newcomers, loyal customers, and those in between. Following this AI marketing campaign, your team can configure personalized recommendation modules for each customer segment. New visitors might be greeted with the latest arrivals and popular items, while loyal customers receive a tailored “your favorites” section based on their purchase history.

Campaign 2: Upselling and cross-selling

This campaign presents a chance to promote upsells (upgrading to premium products) and cross-sells (items that complement the purchases) to increase your average order value.

The role of AI

Artificial intelligence tools can recommend products that are often bought together with what customers like, making it more convenient for them to buy multiple relevant items together. These tailored suggestions can be strategically displayed on the product detail page (PDP), checkout page, or within post-purchase emails. Employ the influence of suggestion with dynamic product recommendations.

Returns

  • Increased overall sales
  • Boosted ROI
  • Improved average order value

Real-world use

Imagine a scenario where a customer is browsing for a smartphone in your online store. AI tools can suggest complementary accessories, such as high-quality headphones or a protective case, enhancing the overall shopping experience. These tailored recommendations not only have the potential to increase your average order value (AOV) by prompting customers to purchase additional items but also cater to those who appreciate personalized shopping experiences. It surely will appeal to a broad customer base.

Campaign 3: Rebuy alerts

This AI-powered campaign simplifies the process of reordering crucial products through frequency-based alerts.

The role of AI

Implementing repurchase alerts with AI tools is a seamless process. The tool monitors the frequency of your customers’ purchases, specifically for essential items like household cleaners and personal hygiene products. Subsequently, it issues timely reminders or provides personalized product recommendations when it’s time for the customer to make a repeat purchase.

Returns

Real-world use

For instance, a skincare brand incorporates AI for restock notifications. Utilizing insights from individual skincare routines and product usage, the AI tool forecasts when customers may require replenishment of specific skincare items. The skincare brand proactively sends a personalized email reminder when this threshold is met. This email includes a convenient reorder link for the previously purchased product and introduces complementary skincare items. An exclusive discount is also provided, creating opportunities for additional purchases or upselling.

Campaign 4: Ideal SMS and email send time

This AI marketing campaign helps understand the deal times for sending text messages and emails.

The role of AI

Eliminate the uncertainty of when to send emails and SMS messages. Leverage the power of artificial intelligence tools to personalize timing based on your customer’s engagement history.

AI tools can help choose the best time to send text messages by looking at when your customers typically click. It also considers when they open and click emails to determine the optimal timing.

Returns

Real-world use

Imagine you run a fitness gear app and want to increase user activity. Sarah, a morning exerciser, receives an early morning email with workout tips and product suggestions. At the same time, she gets a text message during her workout offering a discount on fitness gear. Sarah receives the SMS, checks out the email, and uses the discount to buy more fitness gear through your app.

Campaign 5: Segmentation based on sensitivity to discounts

This AI marketing campaign provides insights into audience responsiveness to discounts, aiding informed business decisions.

The role of AI

Refine your pricing and promotional strategies by segmenting customers into high and low-discount sensitivity groups, informed by their historical purchasing patterns. Subsequently, leverage the capabilities of artificial intelligence to customize tailored offers seamlessly. This approach enhances the impact of promotions and contributes to increased profitability.

Returns

  • Data-driven decision-making
  • Improved targeted strategies
  • Optimized profitability

Real-world use

A tech gadget retailer employs discount sensitivity segments to tailor campaigns for high and low-discount-sensitive customers. ‘High’ sensitivity customers receive a time-limited discount code, while ‘low’ sensitivity customers get an email spotlighting a newly launched smartwatch’s features and positive reviews.

Campaign 6: Modeling for predictive lookalikes

This AI marketing campaign helps you identify potential customers likely to purchase your products.

The role of AI

AI algorithms make it easier to pinpoint high-value customers exhibiting strong purchase intent through a detailed analysis of their characteristics and behaviors. These insights are then transmitted to advertising platforms such as Facebook, Snapchat, or TikTok. Subsequently, these platforms leverage the data to generate lookalike audiences—groups closely resembling your current high-value customer base.

Returns

  • Increased conversions
  • Optimized advertising spending
  • Enhanced sales opportunities

Real-world use

A luxury watch brand utilizes predictive lookalike modeling to identify potential customers resembling their top buyers. This data is shared with advertising platforms such as Instagram and LinkedIn, generating lookalike audiences. Specific groups of people see ads that highlight the newest watch collections, helping the brand optimize ad spending and reach a broader audience likely to make purchases.

Campaign 7: Tiered email personalization

This AI-powered campaign engages customers with personalized email communications tailored to loyalty tiers.

The role of AI

AI algorithms efficiently classify customers into distinct loyalty tiers based on their brand engagement. It ensures consistent engagement by automatically sending personalized emails as customers move across loyalty levels.

Returns

  • Reinforced brand image
  • Boosted brand connection
  • Continued business

Real-world use

A loyal customer, Emily has reached a higher loyalty tier with your brand after numerous purchases. Implement a triggered campaign to celebrate her milestone. Automatically send a congratulatory email featuring an exclusive offer tailored to her upgraded status. This personalized gesture uplifts her experience and motivates her to explore your website, fostering continued engagement and future purchases.

To Conclude

These seven AI marketing campaigns serve as a glimpse into the early stages of artificial intelligence’s transformative potential in commerce marketing. AI encompasses a spectrum of advanced technologies, from machine learning refining customer segmentation to predictive analytics forecasting campaign success. Also, AI tools empower marketers by providing deeper insights and enabling the implementation of more effective strategies.

As we go further, it becomes evident that artificial intelligence is not just a tool but a catalyst reshaping the landscape of marketing practices, ushering in a new era of data-driven precision and strategic optimization.

Enhance your expertise by accessing a range of valuable AI-related whitepapers in our resource center.