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The need for personalized search in your Magento or Shopify eCommerce store

Syrah
|
April 1, 2023
|
Min read

eCommerce Search, Site Search or Product Search are a few of the terms that refer the experience of allowing a visitor to quickly find a set of products that match a search query entered in the search bar within an eCommerce store. Search is the key revenue driver at the lowest operational cost for leading retailers across the world. Data recorded by Tagalys across clients shows that less than 10% of visitors use Search. But they drive anywhere between 30% to 40% of the store's revenue. This is evident as leading retailers display a prominent search bar with a clear call to action, that drives visitors to search for products. Interested - Sign up now.

amazon search bar
walmart search bar

Site Search

Site Search is a product discovery channel that can deliver conversion rates almost 2X higher than regular listing pages. These numbers hold water only if you have the right engine and not based purely on keyword relevance (Search 1.0). Some of the other benefits of Site Search are reduced time to checkout, higher product views per visit and increased order value per customer. But there are many instances of online retailers giving little or no importance to the Search experience within their store. If you already know this, Sign up now and improve your visitor engagement.

Let's take a step back and consider offline retail, cause online commerce is only an extension of offline retail. Hypothetically, you own this fabulous brand and open two stores in the same city. They have the same inventory (Product catalog), physical store format (UI) and display Merchandising (UX). But one has a shopping assistant and the other does not. The store with an assistant will deliver more sales and the amount by which it improves will depend on the aptitude of the shopping assistant. Most visitors with an intent of purchase will interact with the salesperson - “Do you have shoes?”, that leads to relevant questions “What brand, size, color?”, resulting in products that best suit the query. This is what Search 1.0 for eCommerce is expected to do. Understand what your visitors seek (Search query), ask relevant questions about that query (Filters) and show products (Search results) that match the query (No usage of data analytics).

Personalization in Site Search

Then came along a smarter shopping assistant (Search 2.0) who started to consider what was sold, what products were viewed and visited the dressing room. With this intelligence, products shown not only match the query but also consider store analytics to support the increase in sales probability. But today, a salesperson remembers you, knows what you like or what someone with your shopping persona may like. He will show you products for the same query based on individual persona data. Ensuring products shown are not pushed based on store data, but personally relevant to you as it is based on individual shopping persona data. This is Search 3.0. Interested - Sign up now.

shopping assistant in store

The rise of Search 3.0 or personalized search is driven by the "Attention Economy" and the rise in mobile-first discovery. Almost 60% of visitors engage with an eCommerce store via a mobile device, they are on the move, pressed to time and prone to distractions. Personalization of Search improves visitor engagement as it makes Search a personally relevant experience.

So if you think intelligent or personalized search will boost sales for your eCommerce business, start considering the following

  1. Make vs. Buy
  2. What will be the lost revenue over 8 to 10 months by not installing intelligent or personalized search
  3. What will be increasing in operating costs when internal resources are deployed to build the same inhouse?
  4. What will be monthly recurring cost (hardware, software and human resources) to build, maintain and continue keeping abreast of the best in technology?
  5. What should I budget every month to gain access to reliable intelligent or personalized search almost instantly?
  6. What uplift in sales will a 3rd party Search solution offer my eCommerce business
  7. What will be increased in visitors who search, if I make the search bar more prominent with a clear call to action and resulting increase in revenue if my search conversion were to improve by a minimum of 50%?
  8. What will be the increase in cash flow if visitors become customers faster?

Tagalys maximizes conversion rate & gives merchants visual control of products displayed in Site Search, Category Pages & Product Recommendations at their online store. To know more about our solutions and features, get in touch with us now.

The Evolution of KYC

KYC is a fundamental regulatory requirement aimed at preventing money laundering, fraud, and identity theft. Historically, KYC involved manual verification processes that required customers to submit physical documents, leading to delays and potential errors. The advent of digital KYC has transformed this space, enabling faster, more accurate, and seamless verification processes.

Image courtesy of Vlada Karpovich via Pexels

Vision and Approach

Neokred is at the forefront of this digital transformation, offering cutting-edge solutions that simplify and streamline KYC procedures. Their approach is rooted in leveraging advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain to create a secure, efficient, and user-friendly KYC process.

“In a world older and more complete than ours they move finished and complete, gifted with extensions of the senses we have lost or never attained, living by voices we shall never hear.”

Key Features of Digital KYC Solution

  • AI-Driven Verification
    Neokred uses sophisticated AI algorithms to verify customer identities in real-time. By analyzing patterns and detecting anomalies, AI ensures that only genuine documents are accepted, significantly reducing the risk of fraud.
  • Seamless User Experience
    The platform is designed with the end-user in mind, offering an intuitive interface that guides customers through the verification process effortlessly. Users can upload documents, capture selfies, and complete verification steps from the comfort of their homes.
  • Blockchain Security
    Blockchain technology enhances the security of KYC data by creating an immutable ledger that is resistant to tampering. This ensures that customer data is protected and can be audited with transparency.

Success Stories

Neokred is at the forefront of this digital transformation, offering cutting-edge solutions that simplify and streamline KYC procedures. Their approach is rooted in leveraging advanced technologies such as artificial intelligence (AI), machine learning (ML), and blockchain to create a secure, efficient, and user-friendly KYC process.

Conclusion

Digital KYC solution represents a significant leap forward in the way businesses approach identity verification. By harnessing the power of AI, blockchain, and seamless integration, not only simplifies the KYC process but also enhances security and compliance. For businesses looking to stay ahead in a competitive market, embracing innovation could be the key to unlocking greater efficiency, cost savings, and customer satisfaction.

Share it with the world!

eCommerce Search, Site Search or Product Search are a few of the terms that refer the experience of allowing a visitor to quickly find a set of products that match a search query entered in the search bar within an eCommerce store. Search is the key revenue driver at the lowest operational cost for leading retailers across the world. Data recorded by Tagalys across clients shows that less than 10% of visitors use Search. But they drive anywhere between 30% to 40% of the store's revenue. This is evident as leading retailers display a prominent search bar with a clear call to action, that drives visitors to search for products. Interested - Sign up now.

amazon search bar
walmart search bar

Site Search

Site Search is a product discovery channel that can deliver conversion rates almost 2X higher than regular listing pages. These numbers hold water only if you have the right engine and not based purely on keyword relevance (Search 1.0). Some of the other benefits of Site Search are reduced time to checkout, higher product views per visit and increased order value per customer. But there are many instances of online retailers giving little or no importance to the Search experience within their store. If you already know this, Sign up now and improve your visitor engagement.

Let's take a step back and consider offline retail, cause online commerce is only an extension of offline retail. Hypothetically, you own this fabulous brand and open two stores in the same city. They have the same inventory (Product catalog), physical store format (UI) and display Merchandising (UX). But one has a shopping assistant and the other does not. The store with an assistant will deliver more sales and the amount by which it improves will depend on the aptitude of the shopping assistant. Most visitors with an intent of purchase will interact with the salesperson - “Do you have shoes?”, that leads to relevant questions “What brand, size, color?”, resulting in products that best suit the query. This is what Search 1.0 for eCommerce is expected to do. Understand what your visitors seek (Search query), ask relevant questions about that query (Filters) and show products (Search results) that match the query (No usage of data analytics).

Personalization in Site Search

Then came along a smarter shopping assistant (Search 2.0) who started to consider what was sold, what products were viewed and visited the dressing room. With this intelligence, products shown not only match the query but also consider store analytics to support the increase in sales probability. But today, a salesperson remembers you, knows what you like or what someone with your shopping persona may like. He will show you products for the same query based on individual persona data. Ensuring products shown are not pushed based on store data, but personally relevant to you as it is based on individual shopping persona data. This is Search 3.0. Interested - Sign up now.

shopping assistant in store

The rise of Search 3.0 or personalized search is driven by the "Attention Economy" and the rise in mobile-first discovery. Almost 60% of visitors engage with an eCommerce store via a mobile device, they are on the move, pressed to time and prone to distractions. Personalization of Search improves visitor engagement as it makes Search a personally relevant experience.

So if you think intelligent or personalized search will boost sales for your eCommerce business, start considering the following

  1. Make vs. Buy
  2. What will be the lost revenue over 8 to 10 months by not installing intelligent or personalized search
  3. What will be increasing in operating costs when internal resources are deployed to build the same inhouse?
  4. What will be monthly recurring cost (hardware, software and human resources) to build, maintain and continue keeping abreast of the best in technology?
  5. What should I budget every month to gain access to reliable intelligent or personalized search almost instantly?
  6. What uplift in sales will a 3rd party Search solution offer my eCommerce business
  7. What will be increased in visitors who search, if I make the search bar more prominent with a clear call to action and resulting increase in revenue if my search conversion were to improve by a minimum of 50%?
  8. What will be the increase in cash flow if visitors become customers faster?

Tagalys maximizes conversion rate & gives merchants visual control of products displayed in Site Search, Category Pages & Product Recommendations at their online store. To know more about our solutions and features, get in touch with us now.

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