Personalizing for anonymous visitors
Smart recommendations without signups or logins
Overview
Most visitors to your store are anonymous - they haven’t logged in, created an account, or shared any personal information. But that doesn’t mean you can’t personalize their experience. Liva 7 uses real-time signals and smart defaults to deliver relevant recommendations from the very first click.
This article explains how Liva 7 personalizes for anonymous users and how to make the most of it.
How Liva 7 identifies anonymous visitors
Even without an account or email, Liva 7 can recognize:
• First-time vs returning visitors
• Pages viewed during the session
• Products added to cart
• Time spent on site
• Device type and screen size
• Referring source (e.g. ad, email, search)
Liva 7 uses session-level data and browser context to personalize without needing login or email.
Strategies that work well for anonymous visitors
1. Similarity-Based Recommendations
• Uses product tags, categories, and attributes
• Great for product pages and collection pages
• Helps with discovery when behavior data is limited
2. Trending and Best-Sellers
• Based on storewide popularity
• Ideal for homepages and fallback scenarios
• Works well when there’s no personal history to draw from
3. Recently Viewed (Session-Based)
• Tracks products viewed during the current session
• Useful for reminding shoppers of items they’ve explored
• Can be used on homepages or cart pages
Similarity and trending strategies are ideal for anonymous visitors because they don’t rely on past behavior.
Targeting anonymous visitors
In the Targeting Rules tab, you can:
• Create widgets that only show to anonymous users
• Exclude logged-in users from specific experiences
• Combine with device, location, or referral targeting
• Use fallback logic to ensure coverage when signals are low
This allows you to tailor experiences specifically for first-time or unknown visitors
Best practices
• Use broad-appeal strategies like Trending or Similar Products
• Keep layouts simple and mobile-friendly
• Avoid overly personalized language (e.g. 'Welcome back')
• Use session-based signals to adapt in real time
• Test performance with and without anonymous targeting
Why It Matters
Anonymous visitors often make up the majority of your traffic. By personalizing their experience from the first page view, you increase the chances of engagement, conversion, and return visits - even before they ever create an account.
