Personyze automatically tracks all technically accessible visitor data, leveraging over 70 user attributes to tailor each experience.

• Current Session: Cart value, search terms, login status.
• Referral Source: Google Ads, LinkedIn, UTM parameters.
• Geolocation & Weather: City, region, local temperature.
• Firmographics (ABM): Company size, industry, revenue via IP intelligence.
• Site Behavior: Most visited pages, time on site, exit intent.
• Transactional Data: Purchase history, average order value.

Harness AI to show each visitor exactly what they are most likely to buy. Personyze allows you to build custom logic or use these pre-built strategies:

• Products Recommended for You: Machine learning that finds patterns in user data to make specific suggestions for each individual.
• Frequently Bought Together: Suggests cross-sell items often purchased with the product currently in view or in the cart.
• "Viewed This, Also Viewed/Bought": Shows alternatives based on crowd wisdom to help users find what they need faster.
• "Bought from Category, Also Bought": Recommends items from other categories that are frequently paired with the category the user is viewing.
• New In Stock: Highlights items added in the last 7 days (or since the visitor's last visit), filtered by their interests.
• View It Again / Buy It Again: Resurfaces recently viewed items to pick up where they left off, or past purchases for easy reordering.

Fine-tune with Filters:

Increase engagement by recommending relevant articles, videos, or guides using these specialized content algorithms:

• "Those who read this also read": Shows posts popular among other visitors who read the current article.
• Most Popular in Category/Topic: Displays the most viewed, commented, or favorited content within the current topic.
• Inspired by Recent Reading: Recommends popular content based on the categories the visitor has most recently read.
• Trending Now: Highlights content that has spiked in popularity recently.
• Demographic or CRM Based: Recommends content popular among users with similar age, gender, or CRM traits.
• Favorite Author/Topic: Shows top content from the specific author or topic the visitor reads most.
• "Read This -> Bought That": Suggests products frequently purchased by readers of the current content (great for guides).

Extend personalization to the inbox. Recommendations render dynamically at the moment the email is opened:

• Now on Sale (Price Drop): Alerts users to price drops on items they previously viewed or left in cart.
• Cart Abandonment Drip: Reminds users of left-behind items and suggests similar alternatives.
• Time to Resupply: Automatically reminds customers to restock consumable items at optimal intervals.
• Most Recommended for You: Uses ML to show the highest probability items based on total user history.
• Cross-Sell (Last Purchase): Suggests items compatible with their most recent purchase.
• Newly Listed Accessories: Highlights new arrivals that pair well with previous purchases.
• "Send Cart to Email": A site button that lets users email their active cart to themselves (great for lead capture).

Clicks and purchases are tracked by default, and you can configure Personyze to track custom KPIs. All metrics are displayed on a detailed dashboard and automatically flagged when statistically significant.

Configure tests to automatically close underperforming variations once statistical significance is reached, instantly rolling out the winner to all visitors. Set it and forget it—freeing you to focus on strategy rather than monitoring.

In addition to the built-in dashboard, you can sync campaign results to third-party analytics platforms. Seamlessly integrate with tools like Google Analytics (GA4) to view test variant performance directly within your existing reports.