Tag: visual search


The best features and plugins to increase eCommerce conversion at your Magento store

Posted on July 19, 2019 by


The eCommerce industry is growing competitive each day and online users have plenty of options to choose from. 50% of the total online sales in the coming years will be grabbed by the global eCommerce giants like Amazon, Alibaba, eBay, etc. It is hence inevitable for growing eCommerce retailers to completely make use of the opportunities to engage with their visitors and turn them into their customers. 

We have listed here some of the best features and its plugins to drive conversions at a Magento online store.

Live Chat

Live Chats replace the role of the salesperson in online stores. It acts as a virtual assistant and quickly addresses the questions of the visitors. Most people experience difficulties in fulfilling their orders and abandon their carts. Live chats reduce cart abandonment and increase conversion. Live chats also build a customer-retailer relationship that can bring in them repeatedly in the future. Freshchat and Zendesk are good live chat plugins for Magento stores. They are quick and provides productive features for the support team.

 

Push Notifications

Push Notifications in online stores are similar to In-store supermarket announcements. They quickly get the visitor’s attention and trigger their interest. With push notifications, retailers can initiate visitor engagement by letting them know about a new product in-store, a limited period special offer, or a seasonal item that could sell out soon. This gives the visitors an understanding of the products in the store and helps them to make an immediate purchase.  Push notifications are also used to remind visitors to complete their purchase of products added in their carts.

 

 

iZooto helps Magento retailers to send targeted and personalized push notifications to drive traffic, engagement, and sales.

WebEngage is also a good option as it provides pre-designed templates to create high impact push notifications. It allows retailers to have different notification settings for mobile and web.

Emailers

Emailers help retailers to establish a regular connection with their visitors/customers. Sending personalized emails tailored to their interests can help in bringing back the visitors to your store. Emailers also help to keep visitors informed on their wishlist, cart list and influence them to purchase them. 

Mailchimp is one of the widely used mailers by Magento retailers. It helps to recapture lost sales through recommendations and abandoned cart emails. It provides AI-powered, user-friendly tools anyone can use to be successful. Mailchimp puts the audience at the center so that retailers can send marketing emails and automated messages, create targeted ad campaigns, build landing pages, send postcards, facilitate reporting and analytics, and sell online.

Sendinblue is a complete all-in-one sales and marketing toolbox. The pricing is based on the number of email messages sent, rather than the number of contacts keet in the account. It also offers free accounts that allow you to send up to 300 emails per day (9,000 emails per month) 100% free.

Another great tool to check out is SendX. It is an extremely intuitive and affordable Email Marketing Software and a great Mailchimp Alternative. SendX allows you to send unlimited emails with every plan and pricing tiers. On top of that, you can also use their powerful rules-based automation and create bigger email marketing campaigns. And they’ll make sure you never get stuck thanks to their 24×7 Live Support. Paid plans start at $9.99/mo.”

Personalized Recommendations 

Recommendation carousels are product suggestions that are unique to each visitor based on their browsing history. They can be grouped into a single carousel or segmented by product type based on merchant requirements. Some of the popular companies that offer recommendations are Nosto, Barilliance, Celebros to name a few. They deliver one-to-one personalized product recommendations to every customer across the site.

(Recommendations by Nosto)

Site Search

The conversion percentage of visitors who search is 2X greater than the visitors who browse through the store. Search results have to be intelligent, accurate & fast to achieve this.

Tagalys Site Search Tagalys sorts products in search results based on what is most likely to increase revenue. It also allows retailers to merchandise the search results to meet their exact business needs. Tagalys Search includes popular/trending searches, search suggestions (both text and visual), auto-complete, spell check, synonyms, query stemming, no results recommendations and much more. 

 

(You can try a demo of the Tagalys eCommerce site search here)

 

Nextopia eCommerce Site Search uses an adaptive search algorithm, dynamic filters, and enhanced auto-complete to provide fast, accurate and intelligent search results.

Search Spring is a good pick when retailers want to personalize the search results exactly the way they desire and remain highly relevant.

Category Pages 

Category Pages are online aisles in your store. Visitors are dropping from the store after every page scroll. In order to drive sales, it is important to grab the visitor’s attention within the top results. 

Tagalys Category Pages – Tagalys automatically sorts category pages, displaying products that increase CTR (Click-through rate), leading to better conversion. Tagalys also gives retailers instant control to merchandise the page, so they are in 100% control of what products to display to their visitors. Some of the features of Tagalys Category Pages include advanced personalized product sorting, product sequencing, listing page generator, product performance insights, smart category conditions, page banners, SEO variables, etc. 

(Creating a custom sale page in less than 30 seconds using Tagalys)

 

(A smart category page created using Tagalys in 30 seconds)

 

Nextopia Navigation helps to create highly specific landing pages for email campaigns, keyword or specialized campaigns.

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

Image Search vs. Text Search in eCommerce

Posted on December 26, 2016 by


At Tagalys, we extract text data from the product catalog to start data enrichment, hence we are biased towards text-based tagging 🙂 But let us also share some of the advantages and disadvantages of the same so you can evaluate for yourself.

VERTICAL AGNOSTIC:

Tagalys can start working with an eCommerce company across any vertical and start showing improvements from day one. That is why we never hesitated to take on clients that sell apparel, shoes, accessories, jewelry, food and building material as long as they meet certain minimum requirements of scale. This is because, our engine relies on text data that is usually available in various parts of the product catalog and unlike image recognition we do not need any training data (vast sums), to reach a 90% accuracy in auto-generating tags.

DATA AVAILABILITY:

Image recognition products that are vertical focused extract tags from the image. The advantages are that if the engine is trained properly, it has the ability to extract fine detail tags at scale with over a 90% accuracy. Hence an image of a dress can lead to the extraction of externally visible tags tied to color, length, sleeve, neck, design, etc., Text tagging engines like Tagalys rely on the content, hence if such details are missing they will not be considered in the analytics of visitor-product engagement. But this also means if Tagalys cannot find such tags, nor can your online visitors or search engines like Google that rely on text data to understand the product better. Hence it is in every retailer’s best interest to ensure all details about the product are clearly outlined in the product catalog to promote improved product discovery both on the website and also in search engines.

The second question is how much of an added benefit will the retailer have in terms of engagement/conversion/revenues by auto extracting tags from images? As mentioned below, costs for such a high accuracy image extraction engine are higher than text tagging, leading to higher prices for the customer.

COSTS:

As text-based tagging does not require vast sums of training data to get started, but on available data, our cost is much lower than image recognition companies.  The costs for an image recognition company are not only acquiring vast volumes of images to build a database but also the time it takes them to create this database as that impacts the NPV of cash on hand. As our costs are lower, these savings are passed on to you, the customer.

CORE COMPETENCY:

If a retailer’s problem statement is to improve personalization or showing the right products/content to the right visitors, then you need a personalization engine like Tagalys, whose focus is to create data models that simulate the shopping persona of visitors. But if your problem statement is to auto-extract tags from images as there is no content, then a visual recognition engine is what you need, provided it has been previously trained with millions of images in the same vertical.

APPLICATIONS:

A personalization engine like Tagalys can be applied to any channel where a visitor is likely to discover products. This could be a listing page, search results or recommendations widgets.

Visual or image recognition engines, whose core competency is to identify the image and the metadata (tags) from the image is best applied in the Similar products recommendation widget. That being said, we recently worked with a jewelry retailer who switched from an Image Recognition to Tagalys recommendations and realized cost savings in monthly fees and higher revenues driven by better conversion from our recommendation engine.

Image recognition is also confined to verticals where there is enough data to improve the auto tag accuracy levels. If they need to be applied to any other features of eCommerce, then a personalization engine has to be built on top of the existing visual/image recognition engine.

ERROR TOLERANCE:

A combination of image recognition to extract the tags and human tagging might help reduce error tolerance. Product catalog data that is a must-have for an e-commerce platform and is usually entered by humans. This task sometimes has errors or incomplete submissions, that can impact the pattern recognition algorithms in Tagalys. In over 90% of the cases, we find the data to be complete with some minute details missing by the data entry operator, but very seldom incorrect. This is also because incorrect data can negatively impact SERP score, as the content displayed on any listing page is based on the text data behind the product. Hence while we have seen good data from the catalog itself, adding an image-based system to identify tags in verticals like fashion, can extract additional data that can be leveraged by Tagalys.

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

Posted in e-Commerce General eCommerce Site Search