Category: eCommerce Site Search


Relevance only ecommerce Site Search is passé. Increase revenue with Intelligent Search results

Posted on October 30, 2017 by


Humans have the attention span of a gold fish

Or less. Time Magazine & Microsoft reported in May 2015, that “The average attention span for the notoriously ill-focused goldfish is nine seconds, but according to a new study from Microsoft Corp., people now generally lose concentration after eight seconds, highlighting the affects of an increasingly digitalized lifestyle on the brain.” If this is the state of online visitors, you need to think before deciding what products to show your visitors, cause they will lose interest in 8 seconds and you will lose a sale.

Get Smart

Site search is a high value funnel for online visitors. Visitors who search are more likely to convert to customers than those who browse. Then why is your site search engine, dumb? Yes, you read that right, if you have a site search engine that spits out all products just because it matches the query (keyword relevance), your search engine is not thinking and you are losing on revenue.

Get Tagalys

Search engines like Algolia, Swifttype and others, are known for very fast search results. But what is the point in ecommerce, when you have 8 seconds to help your visitors find something of interest? Take a search query like “Dresses” or “Sofas”, these generic searches will contribute to over 605 of your search volume and each of these searches will results in over 100 products per query. What do you show? These queries are driven from mobile devices and now, you have only 2 products per scroll. Thats over 50 scrolls to see all the products in for that query.

This is why you need Tagalys, to analyze data, learn from it and predict what products are most likely to sell for that query. Show results for any search query, where products are sorted by the probability of sale. Tagalys Search also offers other value added services like Search suggestions, Popular Searches, Pinned Searches, Merchandising, but the core of what we do is determine sort orders for products to ensure what shows on top has a higher probability of sale.

Tagalys also applies the same data driven approach across all our API’s so you can ensure your visitors engage with the products that are most likely going to bring you a customer. We apply our data driven approach across Site Search, Product Recommendations & Product Listing pages. If you want to go one step further, we also apply personalization, which is the ability to understand what products are most likely going to appeal to each unique visitor.

Signup for a 28 day free trial and find out for your self. No credit card required. Let the numbers speak for itself.

 

Posted in eCommerce General, eCommerce Personalization, eCommerce Site Search
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ecommerce site search – Factors driving conversion to product views

Posted on October 14, 2017 by


Having an intelligent site search engine like Tagalys by itself is no silver bullet. The engine has to be used by visitors, only then can it analyze data and continue building intelligence to deliver the results expected of it. So what drives conversion or CTR to view products, besides the search itself

Design of the Search Box

Post integrating an intelligent search engine, retailers should make a change in design to ensure visitors coming back take notice of the design change, calling them to try the new search functionality.

 

Call to Action buttons

Now that you have made a change in design, it has been proven that unless a distinct call to action button is used to trigger your visitors click behaviour, they are still less likely to search and maximize the usage of the engine.

Facets & filters

Always ensure the search results have the most relevant filters to allow your visitors to quickly drill down. This is important, cause on mobile devices they are likely to view 2 to 4 product impressions per screen. Even if your catalog has less than 50 products per category, that could take 10 page scrolls to full view. Also filters also help visitors find products that may not be visible easy to group together. For example, products priced between $25-$50, or fabric = Red, Only full sleeves etc.,

Sort Options

You do not need to have all possible sort options, but some of the basic must haves are Price: High to Low, Price: Low to High, New Arrivals. The rest are optional like Name: Ascending/Descending, Sort by Brand name etc.,

After having all these in place, you have to review the analytics on a weekly/monthly basis looking at rolling averages, to see if you are making progress to metrics like searches/visitor, product views per search session, click depth etc.,

Check out Tagalys search and signup for a free 28 day trial.

Posted in eCommerce Site Search
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Magento 1 & 2 Catalog Search vs. Tagalys search for Magento

Posted on October 11, 2017 by


Relevant Search Results vs. Trending Search Results

Site Search is one of the highest converting funnels at any ecommerce store. Platforms like Magento rely on open source search like SOLR, that can be configured with simple functions to help you get started with search. But does it really work in improving conversion?

If your goal of the search conversion is to show products, you should stick with SOLR search from Magento. But if your goal is convert more visitors from search to customers, get detailed reports to understand how they interact in each search segment, you should use Tagalys Search. Here are key functionalities that Magento will NOT offer as part of the SOLR search it has inbuilt.

  1. Personalized search results – Best used if high mobile traffic, to ensure each visitor engages with search results catered to his/her interest
  2. Search results sorted by location based analytics – Best used if buying patterns varied by location
  3. Search results sorted by site level analytics – Best used if buying patterns were the same across the entire site
  4. Search Merchandising – Ability for the retailer to modify search results and promote products based on internal needs
  5. Popular Searches – Grouping high volume search queries (ignoring spam inputs), to show visitors what is trending at the store
  6. Pinned Searched – Ability for retailers to modify the popular searches and pin search queries to direct traffic to a search results page of business interest
  7. Prioritized product and text suggestions with auto complete, to help visitors save time time and quickly land on a search results page

Here is a quick video that gives an over of Tagalys search.

Other basic features that are also available are Synonyms, Stemming, dynamic facets, live catalog updates, spell check, multi currency, multi language and multi store support. Check out Tagalys search and signup for a free 28 day trial.

Posted in eCommerce General, eCommerce Site Search
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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 likley to sell, to help with end conversion is an acceptable trade off. Read our testimonials to know more.

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 interacts with the site. We also analyze data patterns across segments or for each visitor, to personalize 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.

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.

Check out Tagalys search and signup for a free 28 day trial.

 

Posted in eCommerce Site Search
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Extension for Magento 1 & 2 Catalog Search: Klevu Site Search vs. Tagalys

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 provides powers Search, Recommendations & Intelligent Product listing pages. The Site Search funnel is a high value funnel, where Tagalys has recorded conversion rates 3X – 4X higher than other funnels within the same site and between 20%-30% of total revenue. We have been successful with these conversion rates because we collect data from the other funnels, to gather incremental insights thus accelerating conversion rates for customers using 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 learning search and Tagalys provides trending/intelligent search, both showcase search results that change over time as we learn form 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 a A/B test, it is hard to quantify how much of an improvement in conversion with either solution have over the other.

But Tagalys also provides personalized search results, showcasing the best search results, based on each visitors 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 a high mobile traffic with return visitors, to 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 on 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 detailer 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 as 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 fro “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 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 todays 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.

If you want to checkout Tagalys, signup for a test account.

Posted in eCommerce General, eCommerce Personalization, eCommerce Site Search
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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, when he enquired if we powered Site Search for Urban Ladder. Unfortunately we do not, as 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, especially cause 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 in deeper, he shared specifics of what was missing, so we thought we share this feedback with the engineers at Urban Ladder to 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. What could improve is a more central location with a highlight and a clear call to action to nudge visitors to Search quickly, discover products and engage with Urban Ladder.

Search Suggestions (3/5)

Predictive suggestions are generated as the visitor continues typing the search query. 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 lets 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. This will improve the quality of search results displayed when Sorts or Filters are applied.

FILTERS (1/5)

Only available filter is price on desktop & mobile. While price is a critical filter, its value is eroded when the search results are no longer relevant on 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 14.21.05Screenshot 2017-04-25 14.21.14

Screenshot 2017-04-25 14.24.13Screenshot 2017-04-25 14.24.24

Spell Check (0/5)

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

Have feedback or comments contact us! Find pricing and Site Search products from Tagalys here.

Posted in eCommerce Site Search, Site Reviews
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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
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Free eCommerce Site Search

Posted on March 21, 2017 by


Date: November 5th, 2017. This offer is no longer in effect as we reached the free quota.

In 2015, when Tagalys won the TechinAsia National Finals, one of the judges suggested: “Why not offer e-commerce Search for FREE? “. Back then, Tagalys was fully loaded, meaning we offered 1 packaged solution for all clients without the ability to break down our algorithm & features in parts. But each client’s needs are different and today the team has re-architectured Tagalys to offer Site Search free for any retailer with less than 5,000 monthly searches & 20,000 active products along with a few value-added features. Google used to offer free Site Search (not tailored for e-commerce), but they pulled the shutters. Interested – SIGNUP NOW

Value Additions in the PAID e-commerce site search plan

If your business has the budget to configure & continuously maintain indexes across SOLR, LUCENE, Elastic Search etc., for your e-commerce store. Save time & money. Get Tagalys. Listed below are the value-added features we offer you in our PAID plan with availability/SLAs that will meet, maybe exceed your internal requirements.

Trending & Localized results: Do not show only relevant results (Free plan). Show the products that have the highest probability of sale based on engagement data. 80% of your visitors will not scroll more than 3 pages of Search. Allow Tagalys to determine what products to display for each search query

Search Suggestions: Auto generate text suggestions and display the top X to your visitors that predictively change as they type. Interested – SIGN UP NOW

Suggestions - dresses

 

Multi-Store & Currency: No problem. Easily configurable with our integration kits.

Suggestions - Currency

Spell Check: Visitors make mistakes when they type. With fuzzy logic, these mistakes can be corrected on the go, providing frictionless site search experiences. Interested – SIGNUP NOW

auto correct

Synonyms: Unlimited Synonyms. Show your visitors the right products no matter what they call them. Cell phone vs. Mobile phone, Trouser vs. Pant.

Catalog updates: Update your search indexes LIVE via push integration mechanisms or choose the easy way out to synch your catalog once a day.

View comparison table

Magento search pricing compare

If Site Search is not configured in your e-commerce store, help us, help you. Interested – SIGNUP NOW

Posted in eCommerce Site Search
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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 eCommerce Personalization, eCommerce Site Search
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Site Search for eCommerce – Why you need it?

Posted on January 28, 2017 by


Site search for ecommerce 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, lets get back to the basics. Interested and want to skip reading – SIGNUP NOW and see your visitor engagement improve.

What is site search for ecommerce?

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 alibaba search amazon 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 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 till 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 maybe 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
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