In today’s rapidly evolving marketing landscape, understanding and optimizing the user lifecycle is crucial for businesses to drive growth and success. Marketers spend considerable time and effort manually creating and optimizing user lifecycle campaigns, often facing challenges in personalization, operational efficiencies, and achieving business goals.
However, with the advent of AI copiloted solutions, these challenges can be automated and achieved with higher efficiencies.
Problems with current solutions in the market
- Lack of visualization or understanding of customer lifecycle
- Platforms are not optimized for business goals
- The same campaigns are repeated for all users in a segment
- Creating campaigns requires manual effort
- User data is not utilized to get deeper insights
Enter User Lifecycle Optimizer
The User Lifecycle Optimizer is a groundbreaking product by Yellow.ai that empowers marketers to quickly create a user lifecycle and improve the performance of lifecycle marketing campaigns. Unlike traditional approaches where campaigns are repeated for similar user segments, this feature ensures that no campaign is repeated for two users, resulting in hyper-personalized campaigns that resonate with individual users.
With a combination of an in-house customer data platform, generative AI models and a constant feedback loop of user interaction with the campaigns, the lifecycle optimizer acts as an AI marketing copilot to automatically convert users at every stage by treating each user as a segment of one.
Benefits for marketers
Automating the user lifecycle conversion process can provide several significant benefits for marketers.
- Improve operational efficiency: Marketers can save time and effort spent on manual campaign creation and optimization. The AI copilot takes care of analyzing user data, identifying high-value user events, and crafting personalized campaigns, while allowing marketers to focus on other strategic initiatives.
- Run data-driven hyper-personalized campaigns: Since the User Lifecycle Optimizer creates highly personalized campaigns, it guarantees an improvement in campaign performance. By leveraging zero-party and first-party user data in User360, the AI copilot ensures that highly contextual and goal-oriented campaigns are sent at the right time and through the right channels, leading to higher user engagement and conversions.
Let’s take a look at how the User Lifecycle Optimizer can benefit marketers across different industries.
- E-commerce: In the e-commerce industry, the User Lifecycle Optimizer can help marketers automate the conversion of users from the browsing stage to the purchasing stage. The AI copilot can analyze user behavior, such as purchase history, browsing patterns, and user preferences, to create personalized campaigns that drive users toward making a purchase.
For example, the AI copilot can send personalized product recommendations, offer exclusive discounts, or provide incentives to users who abandon their shopping carts, resulting in increased conversions and revenue for the e-commerce business.
- Subscription-based: In a subscription-based business model, the User Lifecycle Optimizer can help marketers optimize user retention and renewal rates. The AI copilot can analyze user engagement, subscription usage patterns, and feedback to create campaigns that encourage users to renew their subscriptions.
For instance, the AI copilot can send personalized content recommendations, offer loyalty rewards, or provide special promotions to users who are at a risk of churning.
- B2B SaaS: Lead generation is critical for B2B SaaS businesses. The lifecycle Optimizer can automatically create lead-nurturing campaigns, send targeted content and offers to prospects based on their behavior and preferences, increasing the chances of conversion.
How does the User Lifecycle Optimizer work?
All it takes is 3 steps to create, run and analyze lifecycle marketing campaigns.
- Define the user lifecycle: Create a user lifecycle with different stages that align with business goals. These could include Search, View Product, Add to Cart and more.
Describe the goals for each stage. Define high-value user actions at every stage and also what the brand expects from the user. This definition is used by the AI copilot to understand and achieve the business objectives defined for each stage.
2. Connect stages with optimizers: Connect two stages with an optimizer to improve conversions from one stage to another. This instructs the AI copilot to focus on the interstage conversion for these two stages.
3. Create personalized, contextual campaigns: The AI copilot generates hyper-personalized campaigns to users at stages connected by an optimizer. For example, users who have shown interest but haven’t made a purchase might receive personalized discounts.
The AI copilot does this by leveraging data from user360, such as past campaign engagements, RFM (Recency, Frequency, Monetary) score, and user feedback, and also by understanding the goals defined by the marketer at each stage of the lifecycle.
The result is a highly automated and data-driven approach to user lifecycle conversion, where marketers can create tailored user journeys and deliver hyper-personalized campaigns to users at different stages, leading to increased engagement, higher conversion rates, and improved customer retention.
The User Lifecycle Optimizer revolutionizes the way marketers approach user lifecycle conversion by automating the process and leveraging AI to deliver hyper-personalized campaigns to individual users. By engaging users at every stage of the lifecycle with distinct campaigns, it leads to higher customer engagement, delivers higher ROI, and improves customer retention.
This feature is a game-changer for modern marketers, driving success in the era of AI-powered marketing automation. To leverage the power of the user lifecycle optimizer in your marketing efforts, please schedule a demo.