Category: eCommerce Site Search

Shopping cart abandonment in e-commerce – Top Reasons & Tools to improve

Posted on February 26, 2018 by

Shopping cart abandonment is a recurring challenge at every online store. Data suggests this varies between 60% to 95%, depending on the country, device, category, and brand. The good thing about realizing this challenge in your business is that you are not alone, it happens at every retailer including the greats of Amazon. If you are not sure whether you face this challenge, look at the total number of unique products added to cart and the final number of products sold. If you have a delta, you are facing the same challenge as everyone else.

So why do visitors add products to their cart and not become customers? There are many reasons, such as

  1. Simply forgot
  2. Got busy
  3. Distracted by a mobile notification from another app
  4. Waiting for a discount
  5. Bookmarking
  6. Others

Statista has done surveys to break this down quantitatively to give you some more insights

Cart abandonment reasons

Cart abandonment by industry

So, we now know this is a worldwide, industry-wide phenomenon. What can you do to fix it? There are a couple of simple things you can do right away to reduce this by a few percentage points – install a notification service, that will send an “add to cart” reminder email or notification. These notification services will reduce the abandonment rates and companies offering these services will be the experts to tell you by how much.

The question to you as a retailer is

  1. Do you know what your overall shopping cart abandonment rate is?
  2. Which funnel contributes the most to shopping cart abandonment rate – Search, Browse, Product listing pages, Recommendations?
  3. Which source of traffic is the biggest influencer in shopping cart abandonment rate – Facebook, Organic, Google Adwords, email etc.,?
  4. Does device type (Mobile or desktop) influence shopping cart abandonment rate?
  5. Are there visitors from a specific location that influence shopping cart abandonment rate?

Finding answers to these questions can help tweak your marketing campaigns to continue improving who you target via marketing channels.  While Tagalys can assist you to gather insights into these questions, we do not provide any email or notification service that can alleviate the cart abandonment rates. We do know a couple of really awesome products companies out there that do this for a living. We would be happy to recommend a few names if it can help you.  Contact us ( and we will make the connection based on your needs.

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

Omnichannel retailers use e-commerce to drive offline sales

Posted on January 29, 2018 by

We are seeing more traditional retailers also starting their digital stores to give their customers another channel to engage with their brand. A recent study by Price Water Coopers, also confirms the same strategy that omni-channel retailers will soon overtake pure-play online retailers. But let’s start by defining “Omni Channel”

  • Hubspot says “You need to deliver a seamless experience across channels and factor in different devices in these channels to ensure interactions with your brand are consistent”
  • Google from a marketing angle suggests your strategies should allow you to convert shoppers from any channel
  • At Tagalys, we believe its the ability for retailers to provide the same shopping experience in a 2D or 3D environment, giving consumers to power to decide when & where they want to purchase

How are retailers today, leveraging their online & offline presence in unison? At Tagalys, most of our customers use Magento Commerce for their online platforms and have a strong retail presence across the country. They understand that competing on price is a poor strategy as retailers like Amazon have bargaining powers to lower price. Omnichannel retailers compete by giving their customers convenience and trust. The biggest advantage an omnichannel retailer has is the physical presence of stores. Physical stores invoke trust in consumers and hence conversion is easier at a physical location that the online world. But the online world is where you can instantly reach out to your customers, geo-target them using social media or search engine marketing and drive them to your online store to give them a flavor of what you carry in your physical store that is a drive away if they are interested.

We are seeing more of our clients using Intelligent Product Listing pages and adding store location via Google Maps, to help consumers easily walk into the store, if they need more convincing than what they see online.

How do they execute this activity?

  1. Create a product listing page using Tagalys (The data for what products to display can also be extracted from Tagalys reports)
  2. Using Magento attributes of “Store availability” and “Product Type”, they instantly create a page for e.g., “Diamond rings at our 5th Avenue Store”
  3. Using the HTML editor in the page variables, they hyperlink a Google Maps address of the store
  4. Determine the best time to start the marketing campaign during the day
  5. Use Digital Marketing to target an audience in and around 5th avenue
  6. Launch the campaign
  7. Start analyzing the LIVE engagement reports on Tagalys for the page performance.
    • Hits or page views do not matter, but how many products did the audience engage/view, during this campaign
    • This is the only metric that directly correlates to offline or online sales
    • Unless you measure it, you will never improve
  8. Work with the physical store to also analyze the uptick in store walks after the campaign was launched

A key requirement for this strategy to work is to ensure the digital marketing budgets are not measured by only online sales.  They key is to understand that online is a channel and omnichannel is the strategy, hence digital marketing is a part of the larger marketing budget that is used to drive total sales.

There is another buzzword for this activity – ROBO – Research Online Buy Offline

Have you tried any of these strategies? Connect with us on Twitter or LinkedIn and share your stories. If you want to try Tagalys for a 28-day free trial, you can signup here

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

Building intelligence from Site Search reports to improve Magento revenues

Posted on January 29, 2018 by

As an online retailer, you are probably used to using tools to identify high volume search keywords for your SEO strategy. The hypothesis of this exercise is Search keywords in engines like Google, Bing etc., is demand from the market and with the right landing pages, you (the supply) can attract quality demand. But have you considered evaluating the search keywords from your internal site search engine like Tagalys? Your internal site search engine is demand data of your own visitors who are telling you what they want and this can be used in multiple ways

Marketing Campaigns – Generic

By sorting your Tagalys Search report by unique visitors, it will give you a sense of what your audience is asking for at your site. Let’s assume your top 5 Searches that convert are Dresses, Tops, Pants, Skirts & Lingerie this is what you should also include in your campaigns to reduce your customer acquisition costs.

Marketing Campaigns – Localized

If you are already focusing on these keywords, then Tagalys can slice this data by location to increase campaign engagement e.g., Dresses (New York, San Diego, Madison), Tops (Los Angeles, New York, Buffalo), Pants (Chicago, Los Angeles, Ann Arbor), Skirts (London, Paris, New York) & Lingerie (Paris, London, New York). There are additional reports in Tagalys Search, that will give you insights into what type of Dresses (Maxi vs. Midi), Tops (Sleeveless vs. Printed), Pants (Solid vs. Striped), Skirts (Midi vs Mini) & Lingerie (Bras vs. Panties) are trending at your store if you want to further segment the campaign.

Product Sourcing

Using the “No results” search report, Tagalys gives you a full summary of any search query that had no products to display. What we noticed that usually over 50% of the search queries that are in this report are relevant to the retailer e.g., Polka dresses, Butterfly tops, Blue Skirts. Your team can evaluate the volume of unique visitors for these queries to determine if this repeated month to month and if yes, is this something we should be carrying in stock? Chances are if they did not find it here, they bought it somewhere else, do you want to lose that sale? If you were to convert 5% of these visitors does that make up for the cost of sourcing products for these searches?

Visitor Experience

Less than 2% of the queries are tied to content related searches (Order Status, location, Return policy). Once you identify these queries, you can then create URL redirects to improve the experience of your visitors by showing answers from your FAQ section to help answer these queries.

Interested in a free trial of Tagalys Search? Sign up now, for a free 28-day trial. Ask for a 1-1 demo from our agent and get 30% off on your monthly subscription for any signup before March 2018.

Posted in e-Commerce General, eCommerce Site Search

Magento Catalog Search No results page

Posted on December 18, 2017 by

No matter how awesome your search engine is, there are going to be instances where you will show the visitor “No products were found for that query”, or the world knows it a “No results page”. Our data shows that typically less than 4% of all search queries show this message and this 4% can be further broken down by the type of query. For the sake of this post, let’s assume monthly search volume is 10000, hence 400 queries have no product results to show.

In these 400 search queries, 50 of them are tied to content related searches like “Order number”, “FAQ”, “Size graph” and the other 350 are tied to queries where Tagalys would have shown products if the retailer carried them. It is these 35 queries that we now tackle with product recommendations on the no results pages.

Why Product Recommendations

At Tagalys, we realize that almost 99% of the visitors who ended up seeing the “No results” page, were first-time visitors. These visitors either do not have a clear understanding what is being carried by the retailer or are just browsing. Hence the product recommendations, are a quick way to keep them engaged vs. showing a message, that gives them no opportunity to interact further.

Hips & curves no results page

Which Product Recommendations

At Tagalys, we started with showcasing Best Sellers, New Arrivals, Top Viewed & Trending. The strategy behind these recommendations was to quickly give the visitor a complete overview of what is being carried by the retailer. We did not choose the personalized recommendations, as it works best with data and with limited or no data, it might actually be a turn off than a source to continue engagement.

Now you can leave the “No results” page without any change and it will not negatively impact your conversion rate, but showing product recommendations can only potentially improve your conversion rate marginally. We say marginally cause it will only impact the 4% of visitors that are exposed to this page. With Tagalys, we leave no stone unturned to help you improve your conversion rate

You can also track the impact of the “No results pages” with our reports, to validate if they help increase visitor engagement & conversion. If interested, signup for an account at

Posted in e-Commerce Product Recommendations, eCommerce Site Search

Spell check, Auto Correct, Error Tolerance – How important is it for Site Search at your Magento store?

Posted on November 22, 2017 by

Any Search product for e-commerce at a bare minimum will provide an autocorrect or spell check feature, even though they do not provide analytics to determine what is trending at your store. Is it because Spelling correction is more important that data analytics of your search data? Absolutely not.

Purpose of Spell check

Like a human, a spell check feature is enabled to ensure that when a visitor types/asks for an erroneous search term (Chrestmas, Skerts, Phenes) or a correct search term (Chrestmas, Skirts, Phones), the search engine shows them the same results.

Hygiene factors

Like any product you purchase, there are certain bare minimum requirements for a Search product to qualify as one. Spelling correction is one of them, along with features like keyword stemming, Dynamic Filters and Live Catalog Updates. We call them hygiene factors, cause as retailers you would have thought about these requirements and would have integrated the same if your time permitted at the least amount of time & cost. You should not pay extra, just for these features in a Search product.

Development effort

If you are a small e-commerce store, you can integrate an open source spell check library readily available online, to meet these hygiene factors. At Tagalys we do not boast about our spell check feature, cause it is very subjective to determine how much of revenue increased at our customers, because of a spelling correction.  We also feel that with the predictive suggestions, we provide in our search product, it leaves little room for error, as visitors tend to choose from suggestions than type a full search term. We also feel that customers who want to use Tagalys ONLY for our spell check feature, are probably early in their journey as online retailers, not understanding that spell check will not change their bottom line.

Business Impact

We have read from sources on how spell check has to potential to increase revenue up to $3M. This might be a bit stretched. This is because of a few reasons,

  1. Less than 2% of overall search terms require a spell check
  2. Many “No results” pages happen as visitors search for compounded words as separate words e.g., Mens Wear, Polka Dot, Strap Less etc., No spell check library in the world including that of, can detect and convert search results for compounded & uncompounded words into the same search results. There are other ways to address this and spell check is not one of them.
  3. In order for a Spell check engine to add $3M in revenue, you have to assume the visitors who made the spelling mistake will not buy or search again for the same term in the correct spelling. Then, you need to have around 600K searches with typos a month, converting at 5% with $100 per transaction, to hit this mark. This also means that assuming 2% of your search terms are erroneous, you will need to have close to 30M searches a month for this benefit to be worth $3M.


Spell check is a hygiene factor for the search product at your e-commerce store. It should NOT be a show stopper or a key decision influencer, If you are anywhere near the 1m searches a month, your decision on a good search product should be around how it analyzes data & how the analysis of search data can improve search conversion.

You can learn more about Search from Tagalys at

Posted in eCommerce Site Search
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Semantic Search for e-Commerce – Do you need it?

Posted on November 14, 2017 by

Semantic search according to Wikipedia is “Semantic search seeks to improve search accuracy by understanding the searcher’s intent and the contextual meaning of terms as they appear in the searchable dataspace, whether on the Web or within a closed system, to generate more relevant results. Semantic search systems consider various points including the context of search, location, intent, a variation of words, synonyms, generalized and specialized queries, concept matching and natural language queries to provide relevant search results”.

In the world of e-commerce do you need it? or at what Site Traffic do you need to think of Semantic search to get the best ROI. To get to this number, let’s do some quick math evaluating the millions of search queries we process every month at Tagalys. Tagalys is a product & attribute search engine, hence anything that is semantic will not yield search results. Which means every semantic search query will show in the Tagalys “No results search report” in addition to product search queries that yielded no results.

Typically less than 10 out of 100 search queries results in a “No results” message from Tagalys. Across these 8-9 queries, are searches tied to products that are not in stock, not sold by the store. Fixing these addresses about 90% of all “No search results”. 1 query is usually tied to the visitor engagement like asking about their order status, promo codes, store location. This can be fixed by Tagalys Search URL redirects, which helps improve your visitor experience and may not directly translate into revenue.

Amazon Semantic search

At any online retailer, less than 0.5% of all search queries are semantic in nature. e.g., Dresses under $50, Rings below $999, Shoes between $75 to $150, tops for mid 30s women in the midwest etc., and over 90% of search queries are directly tied to products or combinations of products (Dresses, Skirts, Pants etc.,) & their attributes (Maxi dresses,Red skirts, Mens pants etc.,). This 90% is what Tagalys helps convert to its maximum and also giving you insights into the remaining 9.5% of search queries that do not have results but can be fixed by synonyms or URL redirects.

Sites like Amazon, Walmart etc., that capture over 10M searches a month clearly have a need for semantic search.


If you have the need for a semantic search engine, here are a few sanity checks to verify it works. Run a few sample queries using between, less than, under etc., to test if the engine understands contextual queries. When you see the results, do a sort by price High to Low and Low to High, to verify if the engine has limited the search results, but the context requested in the query. Try this across a few different product types and prices to verify if it has not been engineered as a static identifier of the query.

Having a site search engine in your e-commerce store that yields results for semantic queries using NLP starts to become important if you are seeing over 1M search queries a month, which means roughly 5000 semantic search queries (0.5%). If your site search conversion rate is 2% as an example, you can then expect an incremental 100 orders per month from the semantic queries. And if your average order value is $50, that’s $5000 in extra revenue.

So, do you need semantic search for your online store? Interested in a free trial of Tagalys Search? Sign up now, for a free 28-day trial. Ask for a 1-1 demo from our agent and get 30% off on your monthly subscription for any signup before March 2018.

Posted in 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 e-Commerce General, e-Commerce 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 e-Commerce 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.


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