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26 FEBRUARY 2026

Add to Cart are rising but transactions aren’t? It might not be a conversion issue

An increase in Add to Cart actions without a corresponding rise in transactions isn’t always a sign of poor performance. According to Baymard Institute research (2025), the shopping cart has become the main tool users rely on to save products. In this article, we explore how to make the most of this behavior and which KPIs to track for a fuller understanding of user intent.

Key insight: Add to Cart doesn’t always mean purchase intent

Before interpreting a rise in Add to Cart without transactions as negative, it’s important to understand user behavior:

  • 48% of users use the cart as a “save for later” tool
  • 21% rely on wishlists or dedicated save features
  • Bookmarking, screenshots, and emails are secondary workarounds

This means many Add to Cart actions don’t reflect an immediate intent to buy but rather a product-saving behavior.

Why do users do this?
Users add products to the cart to:

  • Keep items for later consideration
  • Compare prices, variations, or shipping costs
  • “Remember” products without committing immediately

3 Best Practices to Leverage This Insight

If Add to Cart doesn’t always reflect immediate purchase intent, it shouldn’t be “fixed” but understood and designed for. These three best practices help turn a frequently misunderstood behavior into an opportunity to optimize cart quality, KPI interpretation, and overall user experience.

1. Direct users to the wishlist

The wishlist should be:

  • Visible
  • Accessible
  • Useful

It should be clearly positioned across key touchpoints: Product Detail Pages (PDP), Product Listing Pages (PLP), and the user account area. On visually-driven sites, users often select and narrow down options before making a decision. Allowing them to save products directly from the PLP—e.g., via the universal heart icon—makes comparison and later evaluation easier.

Similarly, the “Save” function must always be available on the PDP, where users enter deeper product evaluation. It’s important to make this feature accessible even to unregistered or non-logged-in users, as data shows many prefer to avoid creating an account. If users aren’t willing to register just to complete a purchase, they’re even less likely to do so merely to save a product.

Products saved should remain stored on the same device across multiple sessions and days, ensuring a continuous experience and facilitating return visits for purchase.

A key element is ensuring saved items can be easily added to the cart. The wishlist should allow users to transfer products to the cart directly, enabling a seamless path to purchase at the right moment.

2. Reduce “Test” Add to Carts

A significant portion of users add products to the cart not to buy, but to discover information they can’t easily find elsewhere. The cart becomes a tool for price checks or final verification rather than a true step toward conversion. This behavior often signals an incomplete or unclear Product Detail Page (PDP).

Users add products to the cart to check:

  • Estimated shipping costs
  • Whether additional taxes apply
  • Free shipping thresholds
  • If the final price differs from the one displayed on the PDP

How to address this:

  • Show estimated shipping costs directly on the PDP
  • Clearly indicate taxes included/excluded
  • Highlight free shipping thresholds and how much remains to reach them
  • Avoid vague messages that push users to the cart or checkout just to “see the final price”

By doing so, you reduce exploratory Add to Carts and create more qualified carts. Funnel metrics become more reliable, and the user experience improves. The cart can then resume its natural role as a purchase tool rather than a forced verification tool.

3. Accept that the cart will still be used for saving – and design for it

Even with a well-designed wishlist and a complete PDP, some users will continue to use the cart as a way to save products. The best approach is to embrace this behavior and design the cart to support it. A cart optimized for “return visits” reduces friction and increases the likelihood of conversion over time.

Key optimizations:

  • Persistent Cart Across Sessions
    Ensure users can easily find saved products even after several days.
  • Manage Saved Items Within the Cart
    Users should be able to save items for later directly from the cart. Include a clearly distinguished section for saved items to make retrieval simple and guide users toward final purchase decisions.
  • Always Display Updated Product Details in the Cart
    • Product images
    • Selected variants
    • Updated price
    • Real-time availability
  • Targeted Exit-Intent Pop-up
    If a user is about to abandon the cart, offer a non-intrusive recovery option, e.g., “Don’t lose your favorites: send your cart via email.”

By implementing these strategies, the cart becomes a point of continuity rather than a source of lost opportunities.

Valuing the “Add to Cart” Event

Adding a product to the cart is a strong signal of interest, even when it doesn’t immediately lead to a conversion. This event can be leveraged across multiple dimensions:

1. Marketing Activation

  • Enable more contextual, intent-based retargeting campaigns
  • Support deferred conversion strategies

2. Purchase Decision Support

  • Guide the user with on-site messages (reminders, informational content, reassurances)
  • Design the cart as a tool for saving and returning to products

3. Automation and CRM (with user identification)

  • Trigger email automation flows aimed at supporting decision-making
  • Send reminders and helpful content, not just promotional messages

 

A shift in perspective

Designing the Cart and Wishlist with this approach allows you to:

  • Interpret data more accurately
  • Reduce false negatives in performance metrics
  • Make more informed optimization decisions
  • Increase conversions over the medium term

These insights illustrate how to properly understand the role of the cart and wishlist within the purchase funnel. Every ecommerce business has its own behaviors, goals, and challenges—so it’s essential to start with a targeted UX analysis that transforms data into actionable, conversion-focused design decisions.

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