From intuitive page editors and personalization variables to AI-driven recommendations, forms, and more, this complete toolset empowers you to build tailored, dynamic landing pages at scale—without coding or technical skills.

• WYSIWYG Page Editor – Create and edit page content visually without coding for quick personalization.

• Banner & Popup Editor – Design responsive, targeted banners and popups.

• Countdown Templates – Build urgency with timers.
• Lead Capture Templates – Capture data with embedded forms.
• Social Proof & Urgency Messaging – Show recent purchases, stock alerts, etc.
  

  Product Recommendations – Suggest items based on behavior.

  Content Recommendations – Deliver relevant articles or media.

• Display & Frequency Controls – Control where, when, and how often messages appear.

• Dynamic Variables & Content Variations – Insert personalized info like company name, location, or weather into text, CTAs, and banners.

• Custom JavaScript Execution – Run targeted JavaScript with dynamic data.

• Webhooks – Trigger real-time actions in other platforms.

• Find & Replace for Text/Links/Images – Swap out content dynamically at scale.

Harness AI to curate products and content on landing pages, showing each visitor what they are most likely to be interested in based on patterns from similar visitors. Personyze offers a wide range of algorithms tailored to different visitor states, channels, and use cases.

For anonymous visitors, recommendations can factor in attributes such as location, weather, referral source, landing page, or ABM data like industry and company size (with ABM integration enabled) to suggest the products or content they are most likely to purchase or read. On product pages, algorithms such as “Frequently Bought Together” highlight cross-sell opportunities, while on content sites, “Those who read this also read…” suggestions guide discovery.

For known visitors—whether recognized via cookies from past visits or identifiers passed through landing page URL parameters—Personyze delivers personalized recommendations based on past purchases and browsing history.

Personyze also gives you the flexibility to choose the right algorithm for every touchpoint—or even blend data and strategies into your own custom logic—ensuring your recommendations drive maximum engagement and sales.

Products recommended for you
This machine learning–based algorithm analyzes the full scope of user data to identify patterns in how different types of visitors interact with items in your catalog, and generates personalized product suggestions for each individual.

Frequently bought together
Cross-sell items commonly purchased alongside the product a visitor is currently viewing, has in their cart, or has recently purchased.

Those who viewed this also viewed/bought
Recommend relevant alternatives or complementary products based on crowd behavior or similarity. This increases product discovery, keeps visitors engaged, and reduces the time needed to find and purchase what they’re looking for.

Those who bought from this category also bought
Suggest items from other categories that are frequently purchased by customers who bought from the category being viewed or just purchased.

New in stock
Highlight newly added products to keep visitors up to date. Options include showing items added in the past 7 days, since their last visit, or filtered by their expressed interests.

View it again / Buy it again
Help visitors pick up where they left off by resurfacing products they recently viewed, or encourage easy replenishment by showcasing items they’ve bought in the past.

Make every message feel personal by dynamically inserting user-specific variables—like company name, search keywords, city, time, referrer, or account balance—into page text, CTAs, banners, and forms. Deliver content that speaks directly to each visitor to boost engagement and conversions.