How Dorko Increased Conversions by 6.35% Using AI

Dorko identified that while technical specs are important, the primary driver for conversion is how quickly a customer can visualize an item in their daily routine.

By implementing an AI-driven "visual-first" strategy, Dorko automated the translation of product features into lifestyle benefits.

This shift moved the needle from passive browsing to confident buying, resulting in a 6.35% lift in conversion rates and a 4.5% boost in purchases through automated recovery triggers.

Let’s look at the details!

The challenge

Selling apparel and footwear online presents a unique psychological hurdle: the mental processing barrier.

Unlike a physical store where a customer can touch the fabric or try on a fit, online shoppers must "calculate" whether an item matches their style based on static images and long descriptions.

Dorko faced three specific friction points:

• Information overload: Detailed technical descriptions often bury the "why"—when to wear the item and what it feels like—causing users to bounce before finding the value.
• The comparison loop: Customers often open dozens of tabs to compare "looks," leading to decision fatigue and abandoned sessions.
• Static scaling: With thousands of SKUs, manually creating "lifestyle context" for every product (showing it in use rather than just on a white background) was operationally impossible.

The goal was to transform the online store from a static catalog into a high-speed decision engine that answers the customer's most important questions—How does it look? Where do I wear it? Why do I need it?—in under five seconds.

The solution

Let’s take a look at the solutions implemented by Dorko!

1. Quickly understandable, benefit-centered product pages

Technical specs like material or sole type don't tell a shopper when or why to wear an item. And on mobile, reading long descriptions takes too much effort.

Dorko solved this by moving from text-heavy pages to a "glance-and-understand" visual hierarchy. They used OptiMonk’s AI engine to automatically generate three lifestyle images for every SKU, each paired with a specific benefit tag (e.g., "All-day comfort" or "Weather-resistant").

This allows visitors to instantly see the product’s intended use without scrolling through technical data. This speed of information is critical for mobile conversion.

Here's an example showing how the product page looked before and after optimization:

No manual adjustments are required. The system works automatically, handling thousands of products while ensuring a perfect display across all devices.

In the example below, we can see how a women's vest product page appeared after optimization on both desktop and mobile:

This visual, easily digestible presentation reduced uncertainty and sped up decision-making on both mobile and desktop, leading to a 6.35% increase in product page conversion rates.

2. Seasonal offers tailored to the time of year

Dorko also introduced time-sensitive seasonal campaigns tailored to current periods.

They launched popups that matched the seasons, collections, and promotional periods both visually and in messaging. This ensured that visitors encountered relevant, up-to-date offers rather than generic discounts.

Below you can see some examples of the seasonal campaigns that appeared on Dorko’s website:

Thanks to the perfect timing, these campaigns achieved a 14-15% click-through rate, effectively activating the increased purchasing intent.

3. Relevant product recommendations

To simulate the helpfulness of an in-store sales assistant, Dorko targeted "stuck" visitors.

They introduced an AI-powered product recommender that appears after 30 seconds of inactivity.

The system analyzes the current product and suggests 3 alternatives in the same category, helping visitors overcome decision-making deadlocks.

The example below shows relevant recommendations appearing on a men's boot product page:

This solution brings the logic of physical stores to the online space. As soon as the customer becomes uncertain, immediate assistance is provided to help with the decision, which resulted in a 4.5% increase in purchases.

Results

As a result of the developments, Dorko did not provide more information to visitors but instead reduced decision friction at key moments in the purchasing process.

The visual product pages increased conversions by 6.35%, seasonal campaigns generated 14-15% engagement, and relevant recommendations that appeared after inactivity further boosted purchases by 4.5%.

The growth came not from increased traffic, but from faster and more confident decision-making.