Zeki, AI Marketing Optimization

The Future of Segmentation

Segment Shaper makes segmenting your audience simpler and faster. Instead of setting up complicated filters or criteria, you just tell Zeki in plain language who you’re looking to target—like “customers likely to engage with a summer promotion” or “frequent users who haven’t interacted in 30 days”—and it takes care of the rest. This intuitive, language-based approach helps you tailor campaigns to specific audience behaviors and needs, with no technical setup required. It’s an efficient way to get right to the heart of your audience.

Predictive Segments

Use Zeki AI to forecast customer behavior metrics like lifetime value, purchase likelihood, and churn risk. Create personalized strategies to increase customer retention and loyalty.

Predict Customer Behavior Now

Affinity Analysis

Zeki AI identifies customer preferences by analyzing category-level data, helping you understand which products and services resonate most with your audience. Align your campaigns for better engagement and conversions.

Discover Customer Preferences

Uninstall Prediction

Zeki AI predicts which users are likely to uninstall your app, enabling proactive retention strategies to enhance user experience and keep them engaged.

Prevent Uninstalls Now

Strategic Optimization Made Easy

Common Questions

What is AI in marketing?
- AI in marketing refers to the use of artificial intelligence technologies to analyze customer data, predict future behaviors, and automate marketing tasks. It helps businesses deliver personalized experiences, optimize campaigns, and make data-driven decisions.
How does AI personalize marketing campaigns?
- AI personalizes marketing campaigns by analyzing customer data, such as browsing habits, purchase history, and engagement patterns. It then uses this information to deliver tailored content, offers, and messages that are more relevant to each individual, improving the effectiveness of marketing efforts.
How can AI help businesses improve customer retention?
- AI can improve customer retention by identifying patterns that indicate when a customer is at risk of disengagement or churn. By predicting these behaviors, businesses can proactively implement targeted retention strategies, such as personalized offers or re-engagement campaigns, to keep customers loyal.
How can predictive analytics improve customer engagement?
- Predictive analytics forecast customer behaviors like purchase likelihood and churn risk by analyzing past data. This allows businesses to create targeted marketing strategies that increase customer retention, loyalty, and lifetime value.
What is category affinity analysis and why is it important?
- Category affinity analysis identifies which product categories or services resonate most with your customers. By understanding their preferences, businesses can deliver more relevant and personalized messages, improving campaign effectiveness and customer satisfaction.
How can AI help reduce app uninstalls?
- AI can predict which users are likely to uninstall your app by analyzing their behaviors and engagement patterns. This allows businesses to implement proactive retention strategies to keep users engaged and prevent uninstalls.
What is send time optimization in marketing?
- Send time optimization uses AI to determine the best time to send messages to customers based on their past interactions. By reaching customers when they are most likely to engage, businesses can improve open rates and overall campaign performance.

Predict and personalize customer journeys with Zeki, powered by D•engage