How Our PIM Solution Drove a 15% Increase in Conversion Rate

You’re probably a busy professional with a packed schedule. 

Imagine you finally find a moment to shop online for a new blender — the one you want to surprise your partner with. The old thing had just broken down, and you need a replacement — something reliable, with multiple settings, and a design that would fit the kitchen’s aesthetic. 

So, you navigate to an online store. But as you scroll through dozens of options, your intent to buy quickly turns to frustration.

The product descriptions are vague. The crucial details are left out. 

One blender looks promising, but there was no mention of its power wattage or whether it had a specific smoothie function. Another had a nice design, but the description was a single line with no information on its durability or features. Mixed reviews, missing details, unclear specifications, and inconsistent formatting, on it goes…

Your confidence in the store would begin to waver, right? 

If they could just provide basic information about their products, you’d trust them enough to click ‘buy’. But they fail to do so. The odds are you’d decide to try your luck elsewhere.

This experience is all too common. Maybe it’s not the blender but we’re certain many shoppers have had this experience before.

Fuzzy Info is Why Your Customers Are Bailing Out

When product information is incomplete, confusing, or inconsistent, it doesn’t affect a single sale. It erodes trust, hampers decision-making, and ultimately drives potential buyers away.

Customers have countless options at their fingertips. They won’t stick if they’re unhappy.

Therefore, clear and accurate product information is not just a nice-to-have; it’s a critical factor in securing sales and building long-term customer loyalty. ‘The Blender Story’ is a powerful reminder of the importance of effective Product Information Management. If you don’t take care of the “trivial things” in the background the sales will plummet.

The Evidence Is There

For hybrid and e-commerce businesses, poor product information is more than just a logistical problem — it directly impacts revenue. 

Studies show that up to 30% of potential turnover can be lost due to inadequate product information. When customers encounter confusing, misleading, or incomplete product details, their trust in the platform diminishes, and they are less likely to purchase. This emphasizes the necessity for a robust Product Information Management (PIM) system. The one that doesn’t just organize the product data but also ensures accuracy and consistency.

A Strategic Approach to PIM Automation

(1) One of our prominent clients, a leading e-commerce platform, faced a significant challenge in managing thousands of product descriptions. 

The complexity of their task was threefold:

1. Ensure product descriptions are accurate and detailed
2. Ensure texts are translated and localized for different markets
3. Ensure it’s all aligned with brand and customer expectations

To address this, we implemented our AI-based PIM software. The ready-made tool enabled the automated creation and updating of product names, descriptions, and attributes. 

The software was configured to follow a predefined structure. It was as simple as “[brand] + [model name] + [color]” for product names. This was critical to maintain consistency across their catalog. 

Additionally, the AI handled multiple languages and localization nuances. It ensured that each product description was tailored to the target market’s linguistic and cultural preferences.

(2) In another partnership, we worked with an e-commerce client managing over 50,000 products. Their main goal was to improve product recommendations, crucial to boosting customer satisfaction and sales. 

We noticed how traditional systems often fail to cater to individual customer preferences in large catalogs. Therefore, we introduced our AI-powered PIM software. 

It analyzed product data, spotting patterns and trends. This led to more accurate and personalized recommendations. For example, it could tell the difference between similar products and suggest alternatives that better matched customer preferences.

#1 KPI – 15% Increase in Conversion Rate

The results were nothing short of transformative. The client wanted to focus on conversion rates. Within six months, the client saw a 15% increase in their platform’s conversion rate. Essentially, standardized product descriptions resonated better with their audience. 

Customers felt they knew, liked, and trusted the brand. The spike in conversion happened due to a change in a single variant — updated, standardized product descriptions.

#2 KPI – Manual Description Creation Reduced by 50%

Moreover, the time required for manual description creation was reduced by 50%. This freed up resources to focus on other strategic initiatives. 

The increase in efficiency didn’t just accelerate their time-to-market for new products. It also enhanced the overall shopping experience by providing customers with clear, concise, and relevant product information. Don’t just take our word for it. In our in-depth piece on PIM, we highlighted another success story from BAMA. They achieved a 60% reduction in time spent on data manipulation and accelerated their speed to market by 70%.

#3 KPI – 10% Increase in Average Order Value (AOV)

Again, the impact on the client’s business was substantial. The personalized recommendations boosted average order value (AOV) by 10%.

The mechanism was obvious: Customers were recommended products similar to their previous interests. They clicked to check more details. They loved what they read and decided to buy additional items that perfectly matched their interests.

#4 KPI – 15% Increase in Repeat Purchases

15% increase demonstrated enhanced customer loyalty. This boost in customer engagement wasn’t just about higher sales—it proved how powerful data-driven insights can be. Personalized and satisfying shopping experiences do make the difference and automation happens to bridge the gap.

How to Implement Product Information Management?

For companies looking to replicate these successes, there are several key takeaways.

First, investing in a sophisticated PIM system is crucial.

The system should be capable of handling large volumes of data while providing tools for automation, translation, and localization.

Second, the PIM should integrate seamlessly.

It should blend in nicely with your existing e-commerce platforms and workflows. The right approach is not to move the mountains to introduce an ‘amazing new system’. It’s to find a system that enables a smooth transition and minimal disruption.

Third, the focus should be on data quality.

Incomplete or inconsistent product information can be a major deterrent for potential buyers. Therefore, businesses must prioritize the accuracy and completeness of their product data. They should use AI tools to automate and streamline these processes where possible.

Finally, personalization is key in today’s market.

Customers expect tailored experiences — especially in omnichannel commerce experience. Companies that can deliver personalized recommendations are more likely to see increased engagement and get ahead of the competition. Utilizing AI to refine product suggestions can enhance the customer experience and drive higher sales.