Category: eCommerce Personalization


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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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 that 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, collects 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, requiring no additional work from clients to snd 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, cause it allows them to engage with online store in a frictionless manner. By this we mean, if you have shown interest in midi skirts and maxi dresses for example, instead of having to navigate back to the categories and restart your browsing experience, the personalized store would already have that available for you, saving 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 KPI’s 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 that 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 eCommerce Personalization
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Personalized e-commerce recommendations: Home page Product recommendations

Posted on October 4, 2017 by


When you think of Personalization in ecommerce, you should think of Amazon. No online retailer has experimented across varies application of personalization with the goal to help visitors find a product of interest.

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

Personalized home page Product recommendations

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

Personalized home page recommendations

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

Personalized Site Search

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

Personalized Store or Product feed

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

More on My Store from Tagalys in the next article. If you want to signup, please visit https://next.tagalys.com/signup

 

Posted in eCommerce Personalization, Product Recommendations
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Amazon my mix – Personalized shopping feeds for ecommerce

Posted on July 19, 2017 by


In June 2017, Amazon.com made a quite launch of “My Mix”, a personalized shopping feed that curates “Interesting” products based on visitor interest.

My mix from amazon

Here is a company, that rules the market, commands your attention, for all purposes knows you will come back to Amazon tomorrow to check on on your next purchase. So why a personalized shopping feed?

Amazon, knows that tomorrow it will be fighting for visitor attention. Attention, not just from Walmart, Target, Alibaba etc., but from the millions of mobile applications that distract you in your shopping experience. Amazon, is fighting to keep you engaged at Amazon. Only then can the billions of dollars invested in R&D, supply chain, etc have any likelihood of influencing your purchasing decision.

What will start as a curation of “interesting products”, will tomorrow most likely be a curation of the entire store, to be delivered as a feed to you. Amazon understands, you the visitor are a busy person, engaging with the store usually on a mobile device.  The retailer knows what you want today or may want tomorrow. Given the data is available, Amazon is making the whole shopping process personalized. By this we mean, instead of you walking to the aisles or categories to find products, the aisles that are of personal interest, will come to you. All you have to do is walk into the store and the entire store will reorganize itself, to start showing you products of personal interest. This is personalization of e-commerce, where engagement data is used to predict shopper persona of what visitors are most likely going to buy.

Real time 1-1 visitor personalization always existed and with the lowered costs of computing power, it will be applied to across the product discovery journey in an e-commerce store. In the future, Amazon will ensure each shoppers product discovery channels will be 100% personalized, to ensure they get 100% of that shoppers attention. Lose attention, lose engagement, there will be no sale.

Why are we at Tagalys excited about My Mix? You will soon find out in a few more weeks. You can signup for Tagalys and get access to our full suite of product discovery solutions.

 

Posted in eCommerce Personalization
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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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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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Personalization for ecommerce – How did Tagalys start its journey?

Posted on December 26, 2016 by


Tagalys provides personalization of a service for ecommerce and our apis (using plugins) can be applied to personalize product discovery across channels like site search, recommendations and listing pages. Our founders did not wake up one morning and decide to build personalization as a service, it was built by accident.

In their previous avatar, Antony and Palani had conceptualized and built a social commerce platform as they saw a growing consumer need driven by the growth of eCommerce. The supply side of the platform consisted of a complex web of spiders crawling ecommerce sites for products and all public information about them. At its peak the platform covered over 3000 unique brands and over 8 million unique sku’s. The demand side consisted of consumers who were interested in online fashion and home décor shopping.

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Like most platforms, Monthly active users (MAU) was the primary metric of focus as that tied directly to their current and future revenue model. But how do you keep consumers engaged to ensure churn is minimal? How do you build an engaged community that will refer others to this platform?

Early metrics showed users spent over 9 minutes/session and the team was elated, but we also noticed the percentage of return visitors was not as expected. Post feedback with many users, we realized high session time is also an indicator that users being unable to find what they seek. Solving this problem was the advent of Tagalys. The founders first started by building their own analytics engine that collected visitor engagement data and also extracted meta data from products to  start extracting insights on why visitors might engage with certain products. The meta data also allowed to create data model or trend analysis to better understand the shopping persona of users. The first step was to start making sense of the data and apply the insights across search and listing pages, so products were sorted by what was most engaging site wide and not simply sorted by new arrivals etc., This logic helped increase engagement but still did not appeal to all users, as what maybe most engaging for user X might have no relation to user Y. The team then went onto analyze data at a user level and found out the high variances users have in preferences for the same category or subcategory of products. Thus the next steps was to  build a personalized view for each user for any page they engaged – Search results, Category pages, Recommendations. The end result was to showcase a unique set of products that match a user’s shopping persona and based on interaction with the assumed persona, to learn and continue improving the shopping persona to improve engagement.

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While founders were successful in delivery personalization at scale, as a business it failed. Failed due to unavailability of funds or maybe they were too early, but the learnings of this journey helped build the foundation of Personalization as a Service for eCommerce. When many of the users shared feedback on how such an experience was unavailable at regular eCommerce store, it got them thinking and made them pivot as they recognized the same need for eCommerce to help increase engagement, reduce their CAC and improve revenues.

Do share your feedback with us here or email us at cs at tagalys dot com

 

Posted in eCommerce General, eCommerce Personalization
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Personalization – Making your eCommerce store visitors feel LOVED has never been easier!

Posted on December 21, 2016 by


Signup now to improve your visitor engagement and save time reading the article. Or read and signup at the end.

The journeys that we find most memorable and wonderful are often the ones we take with people who make us feel truly special.

Winning your visitor’s heart on their journey to your e-commerce store is in fact not very different at all, when you make their journey a personal one that is close to their heart. Right from the time they enter to the time they register, to the golden moment they make a purchase, and even the stressful times when they abandon their cart or haven’t been in touch for a while.

In this article, we cover how your e-commerce visitors can enjoy a journey of a lifetime on your store when you personalize every aspect of it- one they remember for days, in fact even share with their friends and recommend to folks they care about.

But first, exactly what do we mean by personalization here? Is it simply just greeting folks by their name? Or showing them products that other people viewed after viewing a particular product. Luckily for e-commerce storeowners and customers, personalization has evolved into something way more powerful, predictive and well, personal than these techniques.

 The Advent of Personalization 2.0

Much like your favorite in-store sales personnel in the world, Jamal, today’s personalization tool is highly iterative, contextual, and real time. The engine is based on artificial intelligence, and thus, constantly learns and updates itself on each visitor based on their interactions as well as those of their counterparts, thus making each interaction more personal, more special, and more intimate than the last one. All this with no scope for human errors and that much more perfection and precision.

So, what are just some of the highly essential and relevant variables that are taken into account whilst personalizing a visitor’s journey?

Your Shopping Persona:

Everybody Loves Jamal!

Everybody Loves Jamal!

 Much like Jamal, who would notice your ensemble the minute you walk into the store to decide what kind of products to recommend to you, a robust engine tracks the journey of a visitor and extracts insights about their visitor based on how they interact with your store.

And just the way Jamal would recommend very different outfits to someone who wore a fun, blingy, high street outfit from Zara and someone else that wore an understated ensemble from Chanel, the engine would show distinct results for those who engage from an iPhone 7 (More premium, upscale products) looking for “Dresses”, as opposed to someone who is interested in “Dresses” using a regular smart phone (Products that would appeal to a price sensitive audience.)

Further diving into this concept, if a new visitor from Manhattan entered an e-commerce shoe store during peak winter she’d get very different results from a similar visitor from San Diego.

Explicit Surveys or Questionnaires

To understand the persona of your visitor, one way to get started is by incentivizing them to fill out out a survey before they start shopping. A great example of this is the beautiful wine site, Naked Wine, which woos its visitors to perfection by offering them 30 dollars to take a quick survey so they can create the perfect drinking persona!

Incase of a site that focuses on one particular category such as a smartphone which has a wide range in terms of pricing, a good idea could be to quickly ask for a budget range and then create a selection accordingly. Similarly, according to the category of the e-commerce site, similar variants can be made in terms of size, gender, and more.nakedwine-survey

Visitor interaction

Another way to understand your visitors shopping persona is my implicitly tracking their interests via a robust analytics engine. Much like once you go to your favorite brick and mortar store and Jamal your favourite sales personnel takes into account your personal tastes and preferences, the engine also partly bases its subsequent recommendations, listing pages, offers, etc next time you enter the store on your past behavior and actions. It remembers the ankle length boots that you added to cart but didn’t eventually buy. It also won’t forget that you spent a couple of minutes browsing that exquisite leather phone case but were pretty non-committal on it or that golden moment when you finally bought a black bomber jacket. (You badass, you!)

visitor product interaction

Visitor segmentation

And while the engine tries to understand your shopping interest and persona, it is also making a note of other people who might be similar to you in their shopping persona to start predicting what products that might interest you but are yet to be discovered by you.

shopper segmentation 

 

The objective of creating shopping personas is to ensure personal relevance in any interaction between your visitors and store. Improving personal relevance increases the conversion rate from a listing page (impressions) to a product page. More product views per visitor, increases the probability of sale conversion. Where can the actionable insights from a personalization engine be applied for an eCommerce store?

ONSITE ENGAGEMENT

Onsite channels in brick & mortar are similar to in-store sales, service, and promotions. Interactions that happen between visitors and your business within the walls of your store. In these eCommerce world, this is equivalent to

SITE SEARCH, LISTING PAGES, RECOMMENDATIONS WIDGETS, BANNERS & COUPONS

Over 90% of the interactions that lead your visitors to view products will happen across these channels. By extracting actionable insights from a personalization engine and applying it to these channels, each visitor will be catered a unique shopping experience engaging with products that are personally relevant to them or someone similar to them. We had discussed earlier about how the mobile first interaction by visitors has led to the attention economy. When visitor interaction with products in these channels becomes personally relevant, you keep your visitor engaged, allowing them to patiently discover products that appeal to them and finally convert to customers.

OFFSITE ENGAGEMENT

Offsite channels in brick and mortar would be similar to sending out direct mailers, promotional sms’s, etc. Basically anything outside the walls of the store to bring your visitors back to your store. In the eCommerce world these are equivalent to

MOBILE NOTIFICATIONS & EMAIL

Channels like mobile notifications and email. are the lowest cost to build re-enagement. Today, most online retailers send out mass notifications and email that reach every user in the store and may or may not be relevant to them. This spam like behavior has led to emails being confined to a separate tab in your inbox or users turning off notifications in mobile phones. This leads to low click through rates (CTR), reducing the visits generated back to the online store from these channels.

By considering the shopping personas generated by a personalization engine, retailers can not only save cost by sending notifications/email to the relevant users, but also increase CTR that leads to improved conversion rates & revenues.

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

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Why is Personalization required in ecommerce

Posted on December 5, 2016 by


“You wanna be where everybody knows your name. And they’re always glad you came.”

The catchy and relatable theme song from the beloved sitcom Cheers, applies as much to a bar in the Land of the Red Sox- Boston in the 80’s, as it does today in a retail storefront or an ecommerce site or an app.

Whether you’re buying…

A classy LBD that carries you from work to drinks after

A classy LBD that carries you from work to drinks after

or A trendy fashion bracelet for your favourite niece

A trendy fashion bracelet for your favourite niece

or A royal love seat for your formal living room

A royal love seat for your formal living room

Or really pretty much anything else. No matter if you buy it on 5th Avenue or in a Flea market. Don’t we all just love it, when a seller recommends us stuff we’re sure to like, right from the second we walk in? It makes us feel so important, excited and wanted.

Just think about it…

You just walk into your favorite swanky boutique and are delighted by the reassuring presence of your favorite sales associate, Jamal. The man just knows when you’re buying a shirt to hide the pounds because you haven’t seen a gym in 3 weeks and he shows you just the shirts that could camouflage your flab er extras without any delay. Or snarkiness. He also notices when you have been working out like the beast and want to obviously strut your stuff! You’re a classic, understated, subtle kind of guy and you like to show it in how you dress. Jamal totally gets that. All classic blues, blacks, greys, no flashy red and green stuff. Not even on Christmas! He knows just the stash to hook you up with. The minute, no wait, the second you walk into that store.

Everybody Loves Jamal!

Everybody Loves Jamal!

“BUT WHAT’S ALL THIS GOT TO DO WITH INCREASING MY WEBSITE CONVERSIONS BY 200%, HUH?” You ask as the angry, puzzled Ecommerce site CXO/Marketing Dude/Founder frenetically looking for answers on getting the ka-ching going!

Relax. We’ve got this.

You see, you turn to Jamal for your clothing (and comfort) because he gives you exactly what you want. Without wasting even half a second on stuff he knows or can sense you wouldn’t be super enthusiastic about. Based solely, on what you’ve shown interest in browsing or purchasing in the past. Jamal observes well, remembers better and analyzes best.

Welcome to the world of Personalization!

Yes. ecommerce personalization. That’s exactly what your customers want from your store when they shop online. They want a kindred ninja who just reaches into the depths of the soul and simply gets them and gives them what they want without them having to even articulate it.

That’s exactly how online behemoths such as Amazon have managed to not only catch up with but also surpass a 50- year old brick and mortar stalwart like Walmart. Because Amazon with its tremendous technological and analytics know-how could literally preempt what your next intended purchase would be. Because in a slightly creepy, yet absolutely incredible way they could tell you what you really needed. Even before you knew you needed it!

That’s why Shop Direct, the UK’s leading multi-brand online retailer personalizes the entire home page for each of its customers with 3.5 million different pages, and offers the most personalized online shopping experience ever, which by the way has led to Shop Direct’s underlying pre-tax profit soared by 43.6% to £150.4m in just 53 weeks since the execution of its personalization strategy.

That’s just some of the crazy competition your e-commerce site is against. From brick and mortar stores as well as ecommerce giants such as Amazon, Shop Direct, Alibaba and more who have won customer delight and loyalty through their bespoke services for one and all!

So, where does your ecommerce site stand with respect to making visitors feel this wanted and cared for?

BECAUSE. YOU. NEED to personalize customer experience. Not just to thrive but survive.

Still need more reasons?

Here are few irrefutable reasons your site should be offering a personalized experience to every customer right now! These numbers just don’t lie!

These statistics arrived at after an in-depth survey conducted by Invespcro, reveal illuminating insights:

  • 48% of consumers spend more money when their experience is personalized.
  • 59% of online shoppers believe that it is easier to find more interesting products on a personalised store.
  • 90% of marketers believe that personalisation is the future.
  • 56% of visitors are likelier to return to a site that personalizes.
  • 53% believe that retailers who personalise the shopping experience provide a valuable experience.
  • 45% are more likely to shop on a site that offers personalized recommendations.
  • 59% of marketers experience great ROI after personalizing their online store.
  • 75% of consumers feel downright frustrated when the content on your site has nothing to do with them

unhappy customer

  • It’s been reported that 84% of customers would no longer buy from an organization that failed to take account of their preferences and purchasing history.

nothanks

So if you’re not personalizing customer experience, you’re basically alienating the people that matter most to you if not in fact literally asking them to piss off! The consequences of annoying them, you see are dire! Because you probably WON’T get a chance to make amends. Ever again.

No wonder then that according to expert research and estimates, by 2017, 89% of marketing leaders expect customer experience to be the primary basis for competitive differentiation.

Welcome to the new World (4”) Wide Web

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The latest DeviceAtlas statistics on the most popular screen sizes show that 4-inch phones are the most popular in most countries including the likes of UK, France, Germany, Italy, Australia, Japan and USA. (Thank you, iPhone 5 and 5s!)

According to a Google study quoted by Smart Insights, 48% of users start any research they make on a mobile device by using a search engine. This figure is actually lower than for desktop users showing the importance of mobile-optimized websites and apps. More and more smartphone owners use their phones to make purchases online. According to a study by Internet Retailer “2016 Mobile 500”, in 2015, U.S. mobile commerce sales have totalled $104.05 billion, up 38.7% from $75.03 billion in 2014.

And whilst the Internet is getting faster, our attention span has gotten even smaller than that of a gold fish. (Less than 15 seconds, FYI!) Thanks in no small way to the mobile revolution. Your ecommerce store has less than 15 seconds to get the attention of visitors that stop by! Your store is under a lot of pressure to perform! It needs to show empathy and compassion towards your attention-starved audience. It needs to show them cool and relevant stuff according to very different, individual ideas of cool and relevant.

You’ve got to cut the B.S about not being able to please everyone. Because now you have to. All the way to the payment gateway.

  • You have to show Jenny a landing page with silver, backless dresses. The kind she was interested when she visited last time. She looked at many such dresses, didn’t quite get to the finish line. Maybe this time she’ll be sold!
  • Marco was shopping for Christmas presents last evening. Save him time and show him whats personally relevant to him and he will most likely become a customer at your store, before your competition grabs him.
  • And do pop in to say Hi to Reuben who was searching for celebrity autobiographies. Delight him with the latest in success and inspiration and he will pay you in cold, hard cash.

Your Possible Objections…

  • “But we don’t have the Amazonian budgets to create personalization tools in-house! (Pardon the cheesy pun, we’re upset)” you say.
  • “We’re not a physical store, there’s barely any human interaction when folks are online. How do we offer such super personal recommendations?”
  • “Yeah, we’re way ahead of you. Spoken to vendors in the personalization domain. It costs too much! Doesn’t make sense right now at this scale.”
  • “The ROI won’t justify the expenses. It’s just not worth it even if it is within the budget.”
tagalys is your secret sauce

Now Listen!

Tagalys could effectively increase your conversions by as much as 200%.

  • It is super-easy to implement
  • It is economically viable and also has a Free, No Obligation trial
  • It is proven to have excellent ROI for sites just like yours (Read our customer testimonials)
  • It is the friendliest of them all other solutions.
  • It is IDEAL for all ecommerce categories. From books to phones. From clothes to cookware.

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

Posted in eCommerce Personalization
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