Tips to help you improve product catalogue search and discoverability

Imagine this, Erin has a slight obsession with sunglasses. She already owns several pairs in various colours of similar style and shape because Erin knows what suits her face. She’s on a mission to find a chic pair of tortoiseshell sunglasses online and in a few clicks she’s landed on her favourite e-tailer site. Erin begins her search by firstly heading to the accessories menu, then into sunglasses. The excitement of an impending purchase is building.

That’s an impressive selection, 25 pages of sunglasses. Time is of the essence, she pans to the menu on the left to filter by colour and style. To her dismay, Erin can only filter colour and this leaves her with 400 products. This is not ideal as she knows exactly what she likes and scrolling through 12 pages is overwhelming and time consuming. The purchase inducing enthusiasm subsides quickly. Erin drops off the site and tries a long-tail keyword search instead on Google, which places her in prime position to find exactly what she’s looking for. She’s quickly matched with retailers who have their site optimised with clean content and relevant tags sorted.

94% of shoppers abandon a website or purchase when they are unable to find what they are looking for.

Generating product specific Tags creates a solid foundation of product data leading to benefits such as: improved on-site search, and search engine optimisation. Developing and maintaining product specific keywords results in a better user experience and increased conversion rate.     

88% of shoppers say that detailed product content is extremely important to their purchasing decisions.

We break things down into three tips, so you can get started on improving your product catalogue. Ensuring shoppers like Erin find what they’re looking for and keep that purchase excitement going.

Tip 1:  Amplify your content for better SEO and on-site search by including targeted keywords in product descriptions and relevant words in image meta-tags. This means shoppers using long-tail keywords in search queries will be more likely to see your products listed first.

Tip 2: Familiarise yourself with Google Trends and local search queries. Having a finger on the pulse in terms of real-time analytics of what shoppers are looking for, helps you to be dynamic in providing relevant product recommendations . This will also aid in keyword research, as trending products can change quickly and you’ll need to stay ahead of your competitors.

Did you know?
Manual tagging can take up to 30 hours for just 500 products

Tip 3: Switch to automated product tagging and create consistent product tags. This will cut down the time it takes to do the process manually and ensures all the words used to tag hundreds, even thousands of products is consistent. Tagging products manually is prone to mistakes, leading to incorrect data and a poor user experience.

50% of data workers waste their time finding and correcting errors or attempting to confirm data sources they do not trust.” Harvard Business Review has developed an AI based visual analysis solution which helps is automating the product tagging process. The AI tool generates tags for your products in under 15secs/product increasing the speed to over 15 times compared with manual tagging. The tagging process also helps in reducing errors, generating consistent data and significantly reducing costs. 

As an example, the solution can generate over 12 attributes for a dress including key attributes like neckline, style, length, print and also tags for occasions and avatars. The tags generated can be used in many ways including, titles, description, filters, product specific keywords, and meta tags.

Okkular solution is simple to use with these easy steps.

Step 1:  Upload your product images or Provide us your product feed. Get quick results.

Step 2:Review and Validate the AI generated tags

Step 3:  Download ready to use SEO-Friendly Tags or Automate integration using our API.

Let’s get started! Feel free to contact us for a free demo.