Segment Users By Intent

Personalize Across Channels With Real-time User Intent

Customize engagement at scale with AI-powered insights on user intent that boost conversion and reduce churn.

Understand what matters to users with real-time insights on user actions and personalize engagement with confidence.

Time spent on a page: Infer user interest with their time on a specific page. The longer the time, the more interest, indicating a higher interest to buy.
Frequency of sessions: Identify your loyal users by the number of times they visit your product page.
Quick exit from pages: Know when users spend less time on a particular page; it’s time to optimize those pages and ignite user interest again.
Monitor every product revisit: Every product revisit tells a story. Capture strong buying intent and nudge users forward with a special discount.

Accurately interpret user intent through data patterns using NLP, Machine learning, and predictive analysis.

Assign intent score: Leverage AI to automatically assign a score like high to low to every intent associated with each user activity.
Standardize a user category: Ensure every action, like drop-offs, product comparisons, and review checks, corresponds to a behavior type.
Predict users’ next moves: Let past actions guide AI to forecast users’ buying patterns, allowing you to nurture them with targeted ads that click.
Personalization AI engines: Kenyt AI agents can detect every user search query to optimize product recommendations and offers in real time.

Develop a complete user persona by combining real-time behaviors with historical data to predict intent with precision.

Analyze browsing patterns: Look through every search to indicate user interest in the product category, type, color, etc, and engage them with targeted offers.
Decode search history: Dig deeper to predict future needs by analyzing search history indicating user’s needs over time.
Purchase history: Let their past purchases help you optimize campaigns for product cross-selling or upselling through recommendations or discounts.
Customer segments: Leverage customer’s historical data to segment them into groups, enabling you to target them with custom marketing strategies.

Unlock valuable insights by picking every hint drop through their searches and optimizing campaigns on the go.

Contextual information: Detect hints for urgency, readiness, cost-effectiveness, or quality-first through deeper layers of search queries.
Go for keyword-based searches: Let every search term mean a different user intent so you can quickly deploy your engagement campaigns.
Analyze long-tail keywords: Gain clarity and confidence with long search phrases that indicate urgent needs or high interest.
Patterns of query improvement: Let every change of search term or phrase guide you to increasing users’ needs for a product.