Tag: analytics


Importance of Products Tags in your Magento or Shopify online Store

Posted on June 27, 2019 by


A product is made up of a combination of tags that describes its features and characteristics. Just like human DNA, which is unique from each other, no two products can be the same. They can have different tags. eg., A dress can be defined by its size, color, material, brand, discount, sleeve, neck, etc. These are a few of the product tags associated with it. Consumers are influenced to buy products when they find products that match their internal tag preferences for that type of product. 

 

(Various tags in a product)

Tagging in your Magento or Shopify online store

In an offline store, if a visitor asks for ‘Black Nike Polo Cotton Tshirt’, they are asking for a product that matches their internal tag preferences. Here the tags are Nike (Brand), T-shirt (Apparel type), Polo (Neck type), Black (Color), Cotton (Fabric). Thus the choice of the shoppers is influenced by the different tags associated with the product. Online shopping behavior is no different from offline and product tagging helps the visitors easily discover products driving up engagement, measured by product views & click-through rate. Without product tags associated with products, it would stall the online shopping process, making it cumbersome & slow.

 

(Products tags available in filters in an online store)

Product Tags in Predictive Sorting 

Tags also help to understand the shopping trends which is very important to drive sales. Predictive merchanding engines like Tagalys (Tag Analysis), study how visitors interact with tags to predict a score for individual product performance. This means if Nike Polo Cotton Tshirts at $99 has been selling well in the last 30 days. Then if we launch new colors of Nike Polo Cotton Tshirts at $99, they are also likely to sell well, by virtue of historical tag performance. Typically new products are unlikely to have any performance data to predict scores. Hence tags are the best way to predict product performance, especially for new products. 

 

(Products sorted based on predictive tag analysis using Tagalys)

The individual product tag performances are analyzed & calculated every day for each product and the results are sorted accordingly. This is very important in eCommerce because online retailers are more likely to drive conversion based on the products across the top 3 pages. Predictive sorting helps them to display their best products in the right order

Product Tags in Reporting

Product tagging also helps the retailers extract segmented insights on the product performances. These tag level reports help in understanding market trends. They give the retailers a decision making ability on their marketing and optimization strategies.

 

(Product performance insights at the tag ‘color’)

(Product performance insights at the tag ‘size’)

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

Posted in e-Commerce General e-Commerce Product Listing pages eCommerce Site Search

The marketer’s guide to using Tagalys in Magento and Shopify eCommerce stores

Posted on March 22, 2019 by


Marketing your eCommerce store can turn out to be quite a challenge. Right from understanding the ideal customer persona, identifying the right products to promote in your campaigns, bringing in traffic to your website, to ensuring that visitors have the shortest path to purchase on the website. A Marketer’s playbook can get quite complicated. 

Marketing in eCommerce

While there is no foolproof way to understand human behavior and deduce a perfect formula to crack the marketing for eCommerce code, using relevant data to drive your campaigns and other marketing decisions are the closest you can get to strike the perfect chord among visitors and/or customers.

To help you make those better data-driven marketing decisions, we have compiled 4 different ways. A marketer can use Tagalys to enhance their online store’s marketing initiatives in these ways.

Identifying the right products to promote in your Marketing Campaigns 

One of the key decisions an eCommerce store owner needs to make while setting up digital campaigns is to identify which SKU to promote. Tagalys analyzes every attribute assigned to each product to calculate a proprietary t-score, which is indicative of the popularity of a product within the store. Key metrics like the number of views, add to carts & purchases by segment, etc. are factored in for the t-scoreThis will help in identifying the most popular / highest-selling SKUs. They can then be used in your digital campaigns, ensuring the best possible click-through rate for your ads. This will also help in bringing in more traffic to your website, as compared to a non-data-driven SKU selected for the campaigns.

Ease of product sorting with Drag-&-Drop interface  

The t-score would give you the most popular product, but what if you wish to promote a seasonal product or put a few products on sale, and want it to be at the top or a specific position on your listing page? Tagalys makes it super easy for you to move around the products manually, with a simple drag-and-drop experience. So, whenever you feel the need for human intervention to override our data-driven algorithms, there is no need for coding to sort your products. Just drag and drop any product to any position that you wish. It’s as simple as that.

Create category pages for your Magento/Shopify store in seconds 

Though this is something which would fall under the purview of the engineering team, generating category pages plays an equally important role in a Marketer’s playbook. Did you know that the number of listing pages in an online store is directly proportional to the probability of the store attracting organic search traffic? That’s how Amazon gets its vast amounts of trafficCreating listing pages on Magento or Shopify can be quite a tedious exercise, with each page taking 30 – 60 minutes, at a minimum. Plus, the customization options available are limited, i.e. creating a page for “Blue shirts” could be a tad easy, but creating a page for Blue shirts for weddings might be a bit more challenging, owing to the sheer amount of manual intervention it requires.  Now, with Tagalys’ proprietary listing page generator tool (which is also patent-pending), you can generate dynamic listing pages with automated SEO optimized content in a matter of seconds. You can literally create hundreds of search-optimized pages in a day.

SEO friendly dynamic product and content refresh on category pages

SEO. One of the biggest challenges for an online store. Having to optimize each and every aspect to optimize your page for organic traffic can be a painstaking task with the sheer number of individual pages for an online store. With Tagalys, you can now add multiple SEO variables without any tech support – right from instantly modifying your page URLs to adding the relevant tags. Tagalys powered pages also have dynamic product sorting and content refresh, to keep the pages fresh and new at all times. This, in turn, helps your pages rank higher on SEO and Google searches, improving the discoverability of your pages through organic search.

Tagalys maximizes conversion rate & gives merchants visual control of products displayed in Site Search & Category pages at their online store. There’s also a lot more you can do with Tagalys as a Marketer. Sounds exciting and you would like to learn more? Book a Free Demo today with us today.

Posted in e-Commerce General

Amazon My Mix: Personalized e-commerce shop increases product views and conversion

Posted on October 16, 2017 by


Amazon, started a version of a personalized store called My Mix, in June 2017 to help visitors save time and find products quickly. The one common trend across every online store globally is that over 60% of their visitors engage with the store via a mobile device. This changes the expectation of behavior as visitors on mobile devices have more urgency than visitors on desktop. They are typically on the go and get to see only 2 to 4 products per screen. So should you design a separate site for mobile visitors? No. Applying a personalization engine will address this challenge and a personalized store ensures visitors are more likely to stay longer at your store.

What is a personalized store?

Personalized stores from Tagalys, collect every signal left by visitors across your site to learn more about their interest and predict what products they might be interested in. This API collects data from online retailers via a Tagalys analytics file. This requires no additional work from clients to send the data and applies real-time 1:1 personalization to create a personalized store in real-time.

Visitor benefits of a personalized store

While the benefits are applicable across devices, we feel the personalized store is more suited for mobile users. Because it allows them to engage with an online store in a frictionless manner. For example, if you have shown interest in midi skirts and maxi dresses, instead of having to navigate back to the categories and restart your browsing experience, the personalized store would already have that available for you. This saves you clicks, time and the efforts to start your experience. It is like the store reorganizing its aisles for each visitor vs. having each visitor walk across the static store each time to restart their shopping journey.

Retailer benefits of a personalized store

Since the retailer now has the ability to dynamically reprioritize what products & categories to show each visitor based on their unique interest we have seen the following KPIs improve at the store.

  • Engagement or reduction in bounce rate
  • Product views per visitor
  • Product views per session
  • Add to carts per visitor
  • Conversion rates that are 3X better than other product discovery channels

How do you signup for Personalized Stores from Tagalys?

Signup as a new client at Tagalys and install any of our extensions to your platform. Contact the Tech Support team from Tagalys and request them to enable Personalization for your store, as this API is not enabled by default. Our team will study your product catalog & configuration and work with you the determine the best-personalized setup for your store. This process should not take more than 24-48 hours to be completed. Tagalys reports will also showcase the live data on the impact personalization brings to your store. This can help you determine if personalization from Tagalys is right for your business.

Posted in e-Commerce Personalization

Algolia Search vs. Tagalys Search

Posted on October 11, 2017 by


Do you want the fastest Search (Algolia) or really fast Search (Tagalys) that increases your conversion & revenue?

At Tagalys, we obsess about improving product discovery at our retailers. How do we ensure visitors click on more products from search results or how do we ensure they find the most relevant products in the first 3 scrolls. To our customers (online retailers) Site Search under 100ms to ensure scores are calculated and products sorted by what is most likely to sell, to help with end conversion is an acceptable trade-off. Read our testimonials to know more.

Algolia

Algolia is a brilliant product, incredibly fast and ideal for database searches. But does solve the needs of e-commerce search? Which is to learn what products are more likely to sell and optimizing your search results by showcasing products that are more likely to increase conversion for that query.  Here is a quick comparison of the two with data researched on October 1st, 2017

Tagalys Algolia
Search Personalization Starts at $900/mo Starts at $2500/mo
Localized Search results Yes No
30 days Reports & Analytics Starts at $49.99/mo Starts at $2500/mo
Default sorting Trending Relevance
Merchandising results Yes No
Display Popular Searches Yes No
Modify Popular Searches Yes No
Pricing based on Usage tiers Records + Indexing
Reporting period 30 days @ $49.99/mo 30 days at $2500/mo
Speed < 150ms < 50ms
IT/Tech heavy No Yes

*mo – Month, ms – Milli Second

With inbuilt analytics, Tagalys by default sorts search results based on what is trending. Trending is the analysis of visitor engagement data across the entire site to predict the best selling products for any search query, based on historical engagement data. It collects data utilizing Tagays analytics for site-wide engagement, understands engagement pattern and determines Trending scores for all products. It continues to learn and improve these scores as visitors interact with the site. We also analyze data patterns across segments or for each visitor, to personalize search.

Limitations in Elastic Search

Algolia, on the other hand, has gone on record and said “Elasticsearch is a wonderful tool for Big Data analytics, but it is very difficult to reach a good relevance with it on database search. You can try to add some logic on top of Elasticsearch or try to reorder manually results for some queries, but it’s tedious work that continuously needs to be tuned. Algolia, on the other hand, focuses on getting a very good relevance with minimal configuration. While not optimal for all use cases, it makes it particularly appropriate for database search”. The tedious work is what Tagalys has solved for online retailers giving them an out of the box solution, with simple installation.

Conversion Percentage in Tagalys

Both Tagalys & Algolia also cover some of the basics of eCommerce search like showing suggestions with autocomplete, spell check & live product synching. Our core lies in the post-click analysis to keep learning from patterns and update trending, personalization or localization scores, so the products displayed in search results are more likely to convert.  So if we can help you with improving your conversion at less than 100ms, happy to show you a demo anytime.

Tagalys maximizes conversion rate & gives merchants visual control of products displayed in Site SearchCategory Pages & Product Recommendations at their online store. To know more about our solutions and features, get in touch with us now or signup for a free 28-day trial.

Posted in eCommerce Site Search

Intelligent Product Listing pages for Magento 1 & 2: Data driven dynamic product sorting to boost conversions

Posted on July 12, 2017 by


Magento is one of the world-leading e-Commerce platforms that help retailers sell online. It is easy to use and has features to help set up complex product & store configurations. But it also has some disadvantages, one of which is the intuitive ability to create product listing pages.

Magento allows you to create categories and product listing pages, but assigning products is a manual time-consuming process. Tagalys Merchandising extensions for Magento brings two benefits to retailers using Magento

  1. Create product listing pages in less than 2 minutes in a visual easy to use interface – Save time
  2. Utilize trending logic from Tagalys that works on visitor engagement analytics to dynamically determine the product sort order for each merchandising page – Increase revenue

Visual Merchandising by Tagalys

Tagalys allows teams to create product listing pages, with minimal assistance from your development or tech team. It was designed with creative/ non-tech users in mind, with a visual interface allowing you to easily create, curate & modify product listing pages.

Pin products: Paste SKU’s, drag & drop products, select multiple products and choose a position to pin them. There are so many visual ways you can create a product listing page to suit what is best for you.

Choose conditions: Filter your entire catalog instantly, to curate products that best need the needs of the listing page. Go ahead and again use the PIN products functionality on the filtered list to best suit your style of merchandising

Page heading: Help your visitors engage better, by giving a heading to the product listing page.

SEO benefits: Help with SEO by giving your pages titles, meta keywords, meta description in an easy to use interface

Catalog updates: Pages created by Tagalys, are updated between 24 hours to 10 minutes, depending on the plan you are in.

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

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

Klevu Site Search alternative for Magento & Shopify

Posted on July 10, 2017 by


As we speak to new customers, we often hear questions on how we are different from Klevu Search and why customers should choose Tagalys over Klevu.

Product Discovery vs. Site Search

Klevu provides Search as a service only, whereas Tagalys powers Search, Recommendations & Intelligent Product listing pages. The Site Search funnel is a high-value funnel. Tagalys has recorded conversion rates 3X – 4X higher than other funnels within the same site. The search funnel also contributed to 20%-30% of the total revenue. We have been successful with these conversion rates because we collect data from the other funnels, to gather incremental insights. This accelerates conversion rates for customers using the Tagalys search. In the world of Tagalys, each funnel has a different intent of shopping and understanding that intent, helps us better understand the customer.

Personalized Search Results vs. Self-learning search

Klevu has a learning search and Tagalys provides trending/intelligent search. Both showcase search results that change over time as we learn from engagement data. Trending search results from Klevu are based on product analytics & Tagalys relies on visitor engagement analytics. It will show the best results across the entire site and will increase conversion. Unless we do an A/B test, it is hard to quantify how much of an improvement in conversion with either solution has over the other.

But Tagalys also provides personalized search results, showcasing the best search results, based on each visitor’s individual shopping persona. This has proven to reduce the time to transact, increase engagement and increase conversions higher than trending results. Personalized search is a must if you have high mobile traffic with return visitors. Ensure visitors quickly find products when engaging via mobile devices as they are more likely to get distracted and leave your retail site.

Pinned Searches

This gives the ability to retailers to modify the popular searches and showcases other searches, to promote business needs. This gives retailers more control over the search funnel. We do not offer this across all plans, because if done incorrectly it can reduce your conversion rate.

Pricing

While the pricing in each tier is similar across Tagalys & Klevu, Tagalys offers more features in each tier, thereby working towards increasing the conversion of our customers, thus providing higher value to the same price point. This leads to customers getting more value delivered for each pricing tier.

Reporting

Klevu reports are primarily tied to Search as that is the only product offered. Since Tagalys offers multiple product discovery solutions including search, we offer detailed reporting across all funnels that are powered by Tagalys, along with segmented product & attribute reporting.

URL redirect Or Category directed search

We do not redirect visitors for search queries to any Platform (Magento, Shopify, etc.,) powered pages. We are confident the product sorting generated by Tagalys for any listing page, including search is far more likely to convert that the sort order on the platform listing pages. Typical sort orders in a platform like Magento is a manually updated and relies on the retailer to decide the product positions. This is also static, which relies on the retailer to update these sort order.

But since our integration, has the data of products across every category or promotion page, we show the products from the same page but dynamically sorted by Tagalys. Thus if you search for “Holiday” and there is a promotion for a “Holiday” page, that page will show in search suggestions and the search results will include only products from that page, sorted by what Tagalys does best, increase the probability of conversion.

Content Search

Not available at Tagalys. Our core competency is engagement analytics to drive personalized or trending results across search, listing pages & recommendations to drive conversion.

Responsive & mobile-first, Trending/Popular Searches, Search Merchandising, Synonyms, Instant faceted search layout, Rich autocomplete Suggestions, Dynamic filters, UIUX Customization

Available at Tagalys & Klevu

So Klevu or Tagalys?

Tagalys along with other product discovery channels gives retailers complete control of managing visitor engagement & revenues across multiple product discovery channels to increase engagement. Tagalys also offers personalization of product discovery that is critical in today’s world on mobile-first engagement. While Tagalys search by itself can guarantee a 30%-100% minimum increase in search conversion, we do better when we utilize engagement data across multiple discovery channels, as each channel serves a different intent of the visitor. Klevu no doubt is a good product, but improving Search by itself is not going to increase your topline manifold as your business expects.

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

Posted in e-Commerce General e-Commerce Personalization eCommerce Site Search

e-Commerce Site Search Review: Urban Ladder

Posted on April 25, 2017 by


Urbanladder.com is one of the leading venture funded curated online furniture sellers in India.

Yesterday I met with Ajay (Advertising professional) regarding a new Tagalys initiative, and he enquired if we powered Site Search for Urban Ladder. Unfortunately, we do not. Their engineering budgets, allowed them to build, manage & continue innovating their site search needs. But the conversation with Ajay led to him sharing frustration in his search experience. Because he expected more as available in leading sites like Amazon.com. And add to this he was engaging with Urban Ladder via a mobile device, this frustration multiplies. Digging deeper, he shared specifics of what was missing. So we thought we share this feedback with the engineers at Urban Ladder. This can help them continue working towards delighting their online visitors.

SEARCH BAR design (4/5)

Both mobile & desktop versions have an expanded search bar, that is visible to visitors on the home page & other product listing pages. A more central location of the search bar will be helpful. This will trigger a clear call to action to nudge visitors to Search quickly, discover products and engage with Urban Ladder.

Search Suggestions (3/5)

As the visitor continues typing the search query, Predictive suggestions are generated. UL either runs the partial query through historical searches, inbuilt suggestions or a combination of both to show a prioritized list of 8 completed suggestions. On the outside, this checks the box. But the key metric is the CTR from suggestions to listing page views and let’s assume this is also done by the team.

What could really improve is the way the suggestions are presented to the online visitor. It does not break down the suggestions into a category, subcategory or other attributes that matter to the visitor, thus preventing any chance of a search results drill down, thus shortening time to product discovery.

POPULAR SEARCHES (0/5)

Unavailable.

RECENT SEARCHES (1/5)

Only available on the mobile app.

SEARCH RESULTS (2.5/5)

80% of visitor are likely to engage with less than 3 actions (scroll, sort, filters) on any listing page pages. It is critical to utilize segment analytics of engagement data to understand and predict what visitors want. That prediction when applied to each search query, shows the products in the order of highest probability of conversion, thus increasing the products viewed from search results.

At Urban Ladder keyword relevance plays a big part as products are displayed in the search results if the keywords are available in the product table. There is no filter being applied at the Search or options to drill down the search results. The default sort is called “Recommended by” which we assume considers engagement data across the site for a period X.

This is not a great strategy for UL as most search results will lead to a large number of product listed, thus requiring users to use Filters quickly drill down, but unavailable hence leading to bounce. This visitor behavior will also be higher on mobile devices. A few examples

Search for “Coffee table” when sorted by Price.

UL Coffee table

A search for “Study Table” when sorted by New Arrivals

UL Study table

UL should allow visitors to drill down into a category or subcategory right from the Search Suggestions or from a filter in the search results page. When Sorts or Filters are applied, the quality of search results displayed will improve.

FILTERS (1/5)

The only available filter is the price on desktop & mobile. While the price is a critical filter, its value is eroded when the search results are no longer relevant on the application of the price filter as seen below. In the category of Home decor / Furnishings, we recommend adding filters like Category, Sub Category, Fabric, Material, Color, Discount/Savings as a bare minimum, to help visitors quickly drill down and find something of interest to them.

UL Filters 1

UL Filters 2

SORT OPTIONS (4/5)

All obvious sort options expected by visitors are available although it is unknown why “Sort by Discount” is only available in the mobile app. The default sort option is “Recommended” which we assume is a product sorting based on some form of visitor engagement analytics over period X for the search query.

Stemming (5/5)

Visitors search the same products in the singular & plural forms and others.. Urban Ladder has enabled stemming to showcase the same search results for both.

Screenshot 2017-04-25 14.21.05

Screenshot 2017-04-25 14.21.14

Screenshot 2017-04-25 14.24.13

Screenshot 2017-04-25 14.24.24

Spell Check (0/5)

An easy to implement the feature, helpful to visitors but not implemented.  Screenshot 2017-04-25 14.26.29

Screenshot 2017-04-25 14.27.43

Overall Urban Ladder scored 2.3/5.0 in our review. This means while Urban Ladder is converting visitors to customers, but there is room for improvement to

  1. Convert more visitors to customers through the Search funnel
  2. Reduce Time to transact
  3. Reduce bounce sessions in Search results

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

Posted in eCommerce Site Search Site Reviews

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 what’s best for you. 

‘Personalized search results’ is the ability to showcase unique, relevant and accurate search results for each visitor that is 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 upliftment in buy conversion can be expected from the Tagalys search. The truth is we do not control that directly, but we do control conversion to product discovery. This leads to an uplift to buy conversion rate. So what metrics do we directly or indirectly influence?

Bounce: 

Tagalys will reduce the bounce rate for visitors who search due to the quality of search results

Product views: 

There will be an increase in product views if the product thumbnails shown in the results are personally relevant to each visitor.

Listing page to View Conversion rate: 

Our goal is to ensure more visitors to 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.

Order value: 

We have noticed a 20% to 40% improvement in order value or basket value, with personalized search.

Frequency of visits: 

As results are identifiable by visitors and user experience has improved, we have noticed a 10% to 20% rise in the 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.

Reducing time to transact: 

While the frequency of visit has increased for a small subset of the search audience, there is an overall decrease in the time to transact by over 40%. Our hypothesis here is that these visitors are more decided. They find products faster, convinced by details on the product page and trust the retailer. Improved product discovery, helped reduce time thus time to transact.

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 the 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

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.,) on the product page would make the decision easy. The design of the product page, internet connectivity, and payment gateway reliability could be other determinants. But, due to the increase in metrics 1-7, there is a direct correlation to the increase in revenue.

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

Posted in eCommerce Site Search

Best eCommerce site search practises in Magento and Shopify

Posted on December 31, 2016 by


In the last 5 years of building various companies and products in the eCommerce vertical, great Site Search experience has been a driving force to build engagement, conversion, and revenues. But this is not always the case when done incorrectly. In a time when leading retailers push Site Search as a primary call to action on the home page, there are others who have hidden their search bar or made it almost invisible due to a bad experience that negatively impacted engagement, conversion, and revenues. So what factors help deliver great search experience? Here are some of the basic requirements you need to consider when building or buying a product aimed to deliver the best site search experience. Interested already – Sign up now.

If you intend to have a Search solution that does not rely on visitor engagement analytics, our recommendation is that you should probably use an open-source solution like SOLR, Elastic search, etc, and configure it properly. An intelligent search product is expected to not only show relevant results (SOLR can do that) but also use analytics to sort it based on what may convert best for the entire site, for a certain region or for a certain individual. If all you need is to show relevant results, please do not waste money on buying a product, Sign up now and ask for a FREE search from Tagalys. You will love it.

THE SITE SEARCH JOURNEY

1. POPULAR SEARCHES

A great start to the site search experience is to load the popular searches that were conducted in period X for that retailer when a visitor clicks on the search bar. This is scheduled to load before the visitor starts to type something, cause predictive suggestions are expected to be generated from the point of query entry.

Popular searches are a good engagement feature as they are indicative of what searches have been trending in the site. This can be client configurable to decide the variables that decide what popular searches to show the visitors, as each client is unique from the other. It is imperative to ensure that clicking on a popular search does not lead to a page with no results, hence the assumptions that lead to determining what should be collected from the retailer. This requires search analytics to be installed and running and frequency Y to generate the searches. Interested – Sign up now.

popular searches

popular searches

2. RECENT SEARCHES

Recent Searches is a simple feature that eases search experience for online visitors. Most visitors take more than one visit to complete their purchase. Search queries are repeated by visitors to continue finding what they seek to buy. Recent searches feature saves visitors time and lowers friction as all they need to do is click on what was recently searched vs. having to type the same query each time they visit. This feature does not require analytics and is actively used in all leading eCommerce sites as it saves visitors a lot of effort especially on mobile devices. Interested – Sign up now.

recent searches

recent searches

3. SEARCH SUGGESTIONS

Search suggestions are expected to be predictive (fill as you type), to help visitors quickly find the relevant suggestion, without having the type the complete search query. Find more details on the requirements in another article we wrote targeting Magento, but the same principle works here.  Interested – Sign up now.

 

4.SEARCH RESULTS

The result of the Site Search journey is to find relevant, trending or personally relevant results to help visitors quickly find what they seek. Incorrect search results are blasphemy in the world of search experience, hence we will assume results shown are accurate.  Interested – Sign up now.

The disadvantage of using open source search like SOLR is that analytics are not considered in results. Hence your visitors may not find the most relevant results in the top pages. Now how often do you visit page 2, 3 or 4 on search results in Google? Probably never. This coupled with the fact that mobile devices show 2 or 4 products per page scroll, make it important for the retailer to show what is relevant to each user right on top. If not, this will definitely lower your conversion rate. While you may cost by using open source, you will lose far more in revenue by not using intelligent or personalized search.  Interested – Sign up now.

5. FILTERS

Now that you have your visitors engaged with the right search results, you need to help them drill down. Most of them do not have time to keep scrolling and if they do, there is a high probability they will get distracted and stop the process. YOU LOSE A POTENTIAL CUSTOMER.

Make sure you have the right filters or facets for the search results displayed. Showing all available filters for all search queries is amateur and makes your business look very unprofessional. E.g., Having “Shoe type” shown as a filter when ‘Dresses” have been selected from the filters.

Make sure tags displayed within the filters are dynamic, to only show tags that have minimum results. You do not want your visitors running into dead ends, they will leave your site and shop elsewhere.  Interested – Sign up now.

6. SORT OPTIONS

Decide upfront what are the various sort options required for your visitor profile. Having too many might confuse them and too little gives them minimal options to choose from. Some of the options are sort by

  1. Relevance (Simple or personalized)
  2. Price – Ascending
  3. Price – Descending
  4. Name – Ascending
  5. Discount – Descending
  6. New Arrivals
  7. Popularity
  8. Best Sellers
  9. Most Viewed
  10. Highest rated
  11. Trending

7. SEARCH BAR

A well-defined search bar is critical to get your visitors to want to search. You may have invested in search technology, but without a clear call to action for search, NONE of the above intended actions from your visitors will ever materialize. There is enough data to prove that search is a low-cost high revenue driver. If search experience is not delivering a higher conversion rate vs. regular listing pages, it is not because your visitors do not want search, it is because the above features have NOT been configured properly in your search experience that is being delivered to your visitors.  Interested – Sign up now.

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

Posted in eCommerce Site Search

Extracting insights from search data in your Magento or Shopify eCommerce store

Posted on December 22, 2016 by


We recently shared a detailed post on the need for Search in eCommerce where we refer to the Search function as speaking to a salesperson in a brick & mortar store. So let’s continue with the same analogy here.

As a retail store owner, your in-store salesperson (search), is interacting with visitors. He/She gets to know their interest in products, colors, fabrics, specifications, etc. Every minute detail of interest is explicitly shared by your visitors during the search process. This is further fine-tuned by the selection of filters to find that product that will convert them to a customer. This treasure trove of data (search queries & filters) should be used by your marketing and planning teams to improve the topline and bottom line of your business.

Topline impact

Retailers have access to search data and resulting visitor engagement details. The details of products clicked, the position of clicks, time spent, visitor segments, etc., are also available. Your team thus has data to understand what your customers seek.

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For example, if the top search query in New York City, is “Kohler Faucets” and in San Diego is “Moen”. For the same data period across segments, it would be wise to promote products that match that query. Also, specific products within that query in your SEO and SEM campaigns can be geofenced to New York City and San Diego. This process of creating focussed marketing campaigns to target each customer segment is bound to deliver higher ROI. The only caveat is that you need “enough” data to make sense out of it.

Search data can also be used to decide what banners within the website, to guide visitors to a landing page with relevant results. Our advice on the Home Page banner strategy is to dedicate 2/5 banners to Search data (historical data). And 3/5 banners to external trend data. Hence if your top site-wide searches are “Faucets” and ” Moen”, create a landing page dedicated to these two keywords. This can include products that received the most engagement for those keyword searches. Offers or incentives based on the data can also be put up as banners. This can accelerate engagement, conversion and revenue generation.

Bottom Line Impact

Analyzing search queries gives you access to customer demand data. This can be used to better plan stock to ensure supply meets demand. For example, if your customers are seeking “Ruby rings” and only 5% of your stock in rings contain the Ruby stone and over 50% in Diamond rings, there is a good chance, you are going to be subject to low inventory turns. This is not good for your cash flow and will drive the “Discounting” act if you need to move the stock. Stocking products that are in demand could increase the probability that customers are less inclined to discounts as they need it NOW.

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

Posted in eCommerce Site Search