Tag: e-commerce


Magento Category and Product Listing Pages – Top 3 Challenges

Posted on March 3, 2018 by


Product listing pages are the heart of every e-commerce store. Also known as category pages, this is where the list of products is displayed. In Magento, creating these pages is a manual task that needs to be done regularly to keep the pages afresh. While Magento provides a strong platform to conduct commerce, we often hear that one of the main challenges here is that the platform is geared for marketers and merchandisers who are tech-savvy.  Some of the basic challenges faced are

Manual efforts to create product listing or category pages:

Assigning a product to a category or subcategory is done by retailers by manually accessing the ‘Manage Categories’ or ‘Manage Products” menu. This means each time a new product has been added to your store, someone has to manually add them to all the relevant category pages or else they are unlikely to get displayed on the front end.

Adding products to Magento categories from the Manage products section

Static pages that do not update dynamically:

By assigning products to the categories using the manual method we previously talked about, Magento depends on the user to update the catalog and each category with newly added products. This means you need to manually edit the relevant categories so that the new products are displayed at your store. For example, a page for New Arrivals or Sale, requires the team to manually add/delete every product to this page based on the date of arrival or the discount.

Adding products to categories from manage categories section

Lack of visual aids to promote or remove products:

As a marketer or a merchandiser, images speak louder than text. The current Magento UI used to create any of these pages is neither intuitive nor is it flexible. Tagalys gives you a visual user interface designed for marketers or merchandisers to make this task as easy as 1-2-3.

Category & Product Listing pages Curation

Solving all of these issues and much more, Tagalys allows you to create dynamic product listing or category pages in less than 60 seconds, in a marketer-friendly user interface. Tagalys also allows you to promote and remove products instantly to meet your business needs. Tagalys allows you to focus on the art of merchandising and not get bogged down by the manual efforts to create a page. Watch this 2-minute video to see Tagalys in action

Watch our demo site to learn more or schedule a 1:1 demo with us at your convenience. What are you waiting for? Contact us now or start your 28-day free trial immediately.

Posted in e-Commerce General e-Commerce Product Listing pages

Personalized Homepage Product recommendations : The Amazon way

Posted on October 4, 2017 by


If you do not have billions of dollars to build your own personalized recommendation engine like Amazon, this post is for you. When you think of Personalization in e-commerce, you should think of Amazon. No online retailer has experimented across varies application of personalization with the goal to help visitors find a product of interest.

Personalization should not be measured by improvement in conversion rate, cause factors like marketing, promotions, product content, payment gateway failure rates, discounts influence the purchase decision of a visitor. What personalization should do instead, is to allow an online shopper discover as many products thus improving the unique product views per unique visitor metric, eventually improving the end conversion rate. Here are a few funnels where Amazon experiments with Personalization and Tagalys provides the same for online retailers

Personalized home page Product Recommendations

When you engage with products at Amazon, you start sending signals of intent helping them understand what you might be interested to buy. If you return to the home page, almost instantly you will discover many personalized product recommendations by category to ensure you do not get lost in the store and remain to engage with the products or categories of your interest.

Personalized home page recommendations

Search is usually the best performing funnel at any online retailer. At one of our clients candere.com, personalized homepage recommendations led to 10x higher revenue per visitor vs. the search funnel, with a 4x higher conversion rate

Personalized Site Search

Once you have created a persona for each visitor, it is easy to curate the catalog based on their intent and show them exactly what they want. For example, if I am in the mood for running shoes, then when I ask/search for shoes, the retailer would show me running shoes first besides showing the generic product sorting that is defined sitewide.

Personalized Store or Product feed

Amazon has been experimenting with this feature with a small subset of products in what is called “my mix”. At Tagalys we call this feature my-store. Essentially, what this allows a retailer to do it dynamically prioritize categories and products for each visitor based on exactly what they want.

More on My Store from Tagalys in the next article. Interested, Sign-up for your free trial now.

Posted in e-Commerce Personalization e-Commerce Product Recommendations

Magento Catalog Search for e-Commerce: Pros and cons

Posted on April 4, 2017 by


Site Search within your ecommerce store is a way for your visitors to tell you what they want. If you show them the right products, it increases the likelihood they will become customers. You can Signup Now or continue reading.

Site Search can be configured in Magento, but there are some serious limitations depending on how serious you are about converting visitors who search into customers.

Product Sorting in Search Results: This is the holy grail of search results. What top products do you show for a search query within that site/segment/visitor. Your visitors will NOT scroll more than 2/3 pages to find a product of interest. In Magento Search, which works purely on relevance does NOT consider the engagement analytics within your site to determine the order of Search results. This means, you as a business owner have no control on what products are displayed to visitors, your best sellers could be in page 6, new products that have a higher probability of sale may never show on top and you have no influence to influence with your visitors. Tagalys Site Search for Magento on the other hand considers visitor engagement analytics that ensures the products  (new or old) shown for any search query have the highest probability of conversion and also gives you as a business the ability to modify those results based on internal business needs like a promotion, event etc., by using Search Merchandising and Pinned Searches.

Easy Configuration: If you visit System > Configuration > Catalog, you can easily choose various Search settings like “Like”, Full text” or “Combined”, Enable Popular searches & Search Suggestions. This is the easy part and can be configured in a few minutes. This is probably the only real advantage with the inbuilt Search from Magento.

The Tagalys extension for Magento search can take about 1/2 hour on average to install and is auto setup. Not bad, but still about 20 minutes more than Magento.

Search Suggestions: While easy to setup, is not configured to how consumers are used to shop on an Amazon/Walmart or leading ecommerce companies. Suggestions run from historical searches, but they are not grouped or prioritized for visitor click through and also lead to pages with no results. Tagalys is geared for predictive suggestions that will never lead to a “No Results” page and have the best engagement. Tagalys example below

Suggestions - dresses

Popular Searches: While easy to setup, is also not prioritized and calculated on a periodic basis to show the top N searches for the site. Searches are not grouped, hence you can find suggestions like “Dress” & “Dresses” one after the other as the queries and not processed internally and cleaned. These suggestions are also not validated to see if the resulting search page has results or not. Tagalys is geared for prioritized Popular Searches, that will never lead to a “No Results” page and have the best engagement, with added capabilities to modify these Popular Searches and promote your own to address business needs.Tagalys example below

tagalys popular searches

Spell Check: Not something to write home about, but this is also not available in Magento Catalog Search. Tagalys offers this be default in FREE and PAID plans. Tagalys example below

auto correct

Allow us to show you a demo or contact us and start your free trial now.

Posted in eCommerce Site Search

eCommerce Site Search – Relevant, Trending or Personalized – Whats right for you?

Posted on February 1, 2017 by


Site search is a cash generation engine when done right for your ecommerce business. But assuming you do have an engine in place, what should it do for you? Search engines are aplenty and at Tagalys we offer 3 versions for retailers to choose from that will best suit their business needs. If we equate Tagalys to a Mercedes Sedan (a bias I have over the BMW), we can rank the technology behind our search engines as Relevant = A class, Trending = C class and Personalized = S class. The technology that drives the order of the search results is the biggest differentiator across these three versions, besides a few minor aesthetic differences. So let’s dig in deeper. Please note that the search results are universally accurate across all 3 versions, the stand out difference here is how product sorting is impacted in the search results. Interested already – SIGNUP NOW

Relevant search results = Mercedes A class

This is an entry level search engine, most suitable for retailers with less than 10,000 monthly visits.  Tagalys also offers a free plan for this engine. This version of the engine will still show you accurate search results for any simple or complex search query, but it does not have the ability to personalize results (visitor analytics) or sort results by what is trending (site analytics).  You might still consider opting for the C class or S class models, but based on our data analysis across existing clientele we have some average user engagement metrics that point out that this engine is most likely to give you better ROI that the other two. But if your average cart size ($50) or percentage of visitors who search (5% – 10%) far exceeds industry benchmarks, you might want to consider the other engines. We also acknowledge that if  you are smaller business you will be starting out with low mobile traffic, acquiring analytics data and visitors are getting to know more about your online store. This a great starter engine to help you tread the waters of online commerce.

Trending search results = Mercedes C class

This mid-segment engine is ideally suited for retailers above 10,000 visitors a month. Retailers at this size start showing patterns of in data as the volume of data show patterns on what products have the best engagement. With this engine, besides showing accurate search results regardless of search query complexity e.g., dress, maxi dress, Zara maxi dress, Zara cotton maxi dress, Zara cotton floral maxi dress, the engine considers historical engagement analytics across the site to determine the best sort order for search results that increases the probability of conversion. This engine should be used as a bare minimum to sort search results which are most likely to sell based on engagement data from the entire site. These results will appeal to your larger audience but not everyone because individual preferences are not considered in product sorting. Hence while this engine may cost more than the A class, it is more likely to convert more visitors to customers. Hence ROI for this engine starts to make sense when you have high traffic leading to high search volume.

Personalized search results = Mercedes S class

The top line of our engines is ideally suited for retailers who attract over 50% of traffic coming in via mobile devices and where this traffic is mainly composed of return visitors. Why? Return visitors have shown interest in your retail business. They will share hard and soft data on their intent and as a smart retailer, you can make sense of this data. If your return visitors are primarily engaging with your commerce store via a mobile device, there is a good chance almost 55% may bounce after the first 30 seconds (Refer Hubspot). These visitors get to engage with 2 to 4 products per page screen in a mobile device and in order to find products that are personally relevant to them, they are then expected to filter, sort, scroll and invest their time in product discovery, when you already know what their intent is.  How do you keep them engaged in the first 30 seconds?

Return mobile visitors is the key driver for search personalization, cause menus, filters and sort options are typically hidden from the mobile interface to reduce clutter. This user interface leads most visitors to scroll through the results and prefer frictionless experiences. And the longer a visitor scrolls to find a product of interest, increase the probability of bounce. So to keep these visitors engaged, the personalized search results from Tagalys, considers visitor specific engagement data to showcase results that are personally relevant to each shoppers persona. Objective is to generate visitor interest to click on a product, to engage. Please note that there is a direct correlation to product views and customer conversion rate. Our analysis with personalized search shows almost 68% of the clicks to a product page happen within the first 4 pages of search results. Hence showing the most relevant personally products, on top per unique visitor increases engagement. Increased product engagement from search results leads to higher search revenue.

There are many more fine details that differentiate the workings of each engine and there are a few cases not outlined here, where a mid sized retailer might still want to use a personalized search engine.

Interested already – SIGNUP NOW and see your visitor engagement improve.

Posted in e-Commerce Personalization eCommerce Site Search

Site Search for eCommerce – Why you need it?

Posted on January 28, 2017 by


Site search for e-commerce store – A few of our readers asked us to share more details on the basics of why they need to have it. They were a multitude of reasons ranging from we have very few sku’s, to our visitor traffic is less than 50K per month, hence they feel it may not be important. So in the interest of these readers, let’s get back to the basics. Interested and want to skip reading – SIGNUP NOW and see your visitor engagement improve.

What is site search for e-commerce?

When you visit a physical store and have intent to buy something, there is a good chance you talk to the store assistant. You share your intent (Search query) and he/she replies with whats available (Search results) with options (Filters) to drill down. This is the basic real-world experience that a site search engine is expected to provide an online visitor

site search shopping assistant

No matter how many skus your store has in stock, there will be always visitors who have no time and want to ask/search for what they seek to buy. Our data across all clients suggests that between 5% to 15% of your visitors will prefer to search Vs. browsing listing pages to discover products. Now while the numbers maybe small, these visitors contribute to almost 20% to 40% of the overall revenue. More details about these benefits can be found here. What is also interesting from our data is that if you break your traffic into mobile and desktop, we noticed that in the 5% to 15% who search, almost 60% of that data came from visitors on a mobile device. Makes sense, cause in a mobile phone when you can see 2 to 4 products per scroll, menus are mostly hidden, Search is the fastest, most easiest way to discover products.

How I wish you could see the raw data to be fascinated at how online visitors engage in retailer stores in todays mobile world. But if Search was not a critical path to revenue, why do the leading ecommerce store globally place an emphasis on it? Why do they clearly provide a call to action on their header across all pages, inviting visitors to search? This ancillary data should make you think on the same needs for your business. Interested already – SIGNUP NOW and see your visitor engagement improve.

walmart search

And the why behind this push to make visitors search are the benefits. We have spoken earlier on the benefits of good site search, but thought we back our claims with some masked data to validate these claims.

Client A (Fashion retailer)

search benefits 1

Client B (Food retailer)

search benefits 2

Client C (Jewelry retailer)

search benefits 3

As you can see from the data, no matter size of the retailer, there are always visitors that want to search and when delivered with great search experience become customers. Search conversion is always 2x or more than conversion across other listing pages. This not only helps improve overall conversion rate, but also improves cart value, revenue per visitor, time to transact therefore overall revenues. Do not wait until its late and forego revenue. Start with a free plan from Tagalys if you have less than 5000 searches a month and deliver the best search experience and improve your business metrics almost instantaneously. Increase profitability.

We will soon be talking about the different types of site search engines and what may be most applicable to you. one size does not fit all and we at Tagalys have an engine that is best suited for your business.

Interested  – SIGNUP NOW and see your visitor engagement improve.

Posted in eCommerce Site Search

Semantic search for ecommerce site search – do you need it?

Posted on January 19, 2017 by


Semantic search as per Wikipedia seeks to improve search accuracy by understanding the searcher’s intent and the contextual meaning of terms as they appear in the searchable database, whether on the Web or within a closed system, to generate more relevant results.

Some of the examples of how this may translate in ecommerce site search for a fashion retailer are, search queries that read like “Dresses for spring” or “Best selling moccasins in 2016 April” or ” Trendiest shirt for a cocktail  party”. You get the drift. So will it make an impact on your conversion rate, if your search engine has the potential to show accurate search results to these search queries

  1. Data: In our cumulative analysis of search query data across clients across verticals, less than 0.07%, meaning 7 out of 10000 search queries, were semantic in nature. Semantic search becomes relevant if the revenue generated from the x% who convert from the 0.07% is considered as significant to your business and also offsets the increase in cost for this added ability . Even sites like Amazon, Walmart and Target where 1% of their search volume could lead to millions of search queries, do not place a heavy emphasis on Semantic search for many reasons. Some of which could be ROI, customer experience or latency in the display of search results, that could increase search bounce rate. Convinced and want to  SIGNUP NOW?semanticwalmarttarget
  2. Frictionless experience: As suggested in our article best practises in site search, consumers expect to be fed. They are spoilt and prefer to have predictive suggestions that match intent, hence almost 99.07% of your audience is more likely to click on a suggestion or type a short query, vs. a fully type a semantic query. If you notice a trend on certain contextual search queries or terms (e.g., cheap, under, newest etc.,) from the database, that can be managed without a semantic system, but creating a rule set or synonyms libraries to tell your search index what products are potentially relevant for that query.amazon ss target ss walmart ss
  3. Consumer search behaviour: When it comes to visitors who choose the search funnel, most of them already show intent or interest in purchase. Hence search queries are typically tied to products (dresses, shoes, beds etc.,) or combinations of products and tags (Maxi dress, Nike Shoes, Single beds etc.,).
  4. Vertical: Semantic search is usually more common in a contextual database vs. a product database. Most visitors who visit your online store are looking to buy products. And unless you are selling something that is not easily understood to the end customer, most of your visitors know what to search for
  5. Performance vs Price: Lets say that over 1% of your search volume consists of queries that are semantic in nature and you need a site search engine to deliver results. As a product manager this leads to leveraging an NLP system than can process or cache results for a semantic query in less than 50 ms. Anything longer than that, is going to slow your results page and that can lead to bad search experience. Secondly, there is an increase in cost to build an maintain a system that can not only process these queries with accurate results, but also show these results to your visitors like any other search query. Is that increase in overall cost, going to be offset an increase in revenue driven by semantic searches?

SIGNUP NOW, join a free plan or a free trial to know whats best for you. 

Posted in eCommerce Site Search

e-Commerce Site Search – Quantitative benefits

Posted on January 11, 2017 by


One of the services we offer at Tagalys is a Personalized search for e-commerce. Interested already – SIGNUP NOW, join a free plan or a free trial to know whats best for you. 

This is the ability to showcase unique, relevant and accurate search results for each visitor that are personally relevant. The reason we stress on personalized search is because of its impact on business metrics. All our clients ask us how much of an upliftment in buy conversion can be expected from Tagalys search. Truth is we do not control that directly, but we do control conversion to product discovery, that leads to uplift in buy conversion rate. So what metrics do we directly or indirectly influence?

  1. Bounce: Tagalys will reduce the bounce rate for visitors who search due to the quality of search results
  2. Product views: There will be an increase in product views as product thumbnails shown in results are personally relevant to each user and not standardized for the entire site.
  3. Listing page to View Conversion rate: Our goal is to ensure more visitors view products. There is a direct correlation to product views and conversion rate, especially for visitors who search. More the product views per visitor, higher the buy conversion rate. Our primary goal at Tagalys is to improve this conversion rate as that is what our engine has control over.
  4. Order value: We have noticed a 20% to 40% improvement in order value or basket value, with personalized search.
  5. Frequency of visits: As results are identifiable by visitors and user experience has improved, we have noticed a 10% to 20% rise in frequency of visits before purchase. Our hypothesis here is that this segment is probably undecided visitors who revisit the site and continue shopping. There is an increased probability that this segment could have been lost after the second visit.
  6. Reducing time to transact: While the frequency of visit has increased for a small subset of the search audience, there is overall decrease in the time to transact by over 40%. Our hypothesis here is that these visitors are more decided, who find products faster, convinced by details on the product page and trust the retailer. Improved product discovery, helped reduce time thus time to transact.
  7. Visitors who search: Across most of our clients, search volume is between 6% to 15% of overall traffic, there has been a 50% jump in the overall percentage of search. While returning visitors will continue to search, our hypothesis of this increase is due to increase in new visitors who search. This behavioral shift is driven by UI changes, the addition of a clear call to action and best practices of site search for ecommerce
  8. Revenue: We cannot directly take credit for all the increase in revenue. It has also be tied with the trust a retailer has created with its audience, the details (images, specs etc.,) in the product page to make the decision easy, the design of the product page, internet connectivity and payment gateway reliability. But, due to the increase in metrics 1-7, there is a direct correlation to increase in revenue.

SIGNUP NOW, speak with us and help us help you. 

Posted in eCommerce Site Search

Predictive Site Search suggestions for Magento e-Commerce

Posted on December 28, 2016 by


The starting point of any eCommerce Site Search experience, are search suggestions. There are a few shortcomings on the existing suggestions available at Magento, that make this an unwelcome experience for your visitors.

Predictive search suggestions

As most humans have experienced search with google, they invariably would be pleased with Google like suggestions. In other words, suggestions that autocomplete themselves with the user entered search query forming a subset of each suggestion.  Interested – Sign up now.

screenshot-2016-12-28-15-19-11

Popular searches

Before you allow your visitors to start the search experience, load up the most popular or trending searches that occurred in your e-commerce store. There is a high probability these popular searches will appeal to a vast majority of your visitors as they have been generated with the help of an analytics engine, based on search data from your e-commerce store. Typing is friction and by allowing visitors to click on the popular searches, saves them effort and provides the same end user experience – discovering products that they seek.  Interested – Sign up now.

Prioritized Search suggestions

Online visitors have high expectations as many of them might have also engaged with retail sites like Walmart, Amazon, Asos etc.,. Getting search suggestions wrong makes a retailer looks amateurish as visitors expect this as a bare minimum. A well-designed search suggestions product limits the suggestions between 5 and10 suggestions but this could vary by category. Here are a few examples

Ensure search suggestions have results

As simple as it sounds we have encountered many online stores that auto-generate suggestions but do not keep tabs on the potential results it will display or how inventory changes in time.  This is the first epic fail.

Ensure search suggestions have accurate results

Showing 5 to 10 search suggestions and leading visitors to a page where the search results have no connection with the suggestions that were clicked on, is 100% going to lead to bounce or a lost customer. We have encountered this issue at many brands that use the default suggestions on Magento, that generate suggestions but results are not accurate.  Interested – Sign up now.

Spell check

Visitors are humans and bound to make mistakes. Autocorrect what your visitors type into correct suggestions that ease the search experience and guide them into correct results. Interested – Sign up now.

Consider historical searches

In addition to generating search suggestions from available attribute and tag data within the product database, leveraging historical search data and also showcasing them in suggestions is likely to increase conversion rate. This is because historical search data is representative of what your visitors are asking from you and considering them in the right suggestions, is likely to convert visitors into customers.

Configurable or customizable

With all of the above working for you, having the ability to configure what suggestions to show and disable certain suggestions, give the retailer a chance to control consumer experience and promote business interests alongside customer needs.

Support currencies and languages

When your online store supports multiple languages and currencies, make sure suggestions support the same. Showing a visitor from Hong Kong suggestions and pricing based in USD, is bound to decrease visitor engagement. Tagalys ensures suggestions follow the same language and format enabled in your Magento store to support your global business.

At Tagalys we serve all of the above needs to further enhance visitor shopping experience at your Mageno powered eCommerce store. We love Magento and proud to associated with one of the fastest and largest platforms for eCommerce. While Magento focuses on their core competency, it allows products like Tagalys to add to their ecosystem to continue enhancing visitor experiences at Magento powered eCommerce sites.

SIGNUP NOW, join a free plan or a free trial to know whats best for you. 

Posted in eCommerce Site Search