Use Big Data To Improve Your E-Commerce Business

Use Big Data To Improve Your E-Commerce Business

With the growing number of smartphone users, organizations are looking to leverage technologies that can assist them in capitalizing the increasing number of technology adopters. According to a recent study, the number of online shoppers is expected to soar to about 65% by the year 2021. The increasing number of online shopper has also contributed to the growth of e-commerce portals and product discovery platforms like Taglr.

The growing number of smartphone users or any device connected to the internet for that matter has also given a huge rise to the amount of information the modern organizations have about their prospects. In simple terms – Data. This is why Big data analytics is the hottest topic right now in the tech circle. Companies are using big data analytics to analyze any data that can help them in making smart marketing decisions. So, we thought we will highlight some of the key areas where you can use big data to improve your e-commerce business. If you have an e-commerce store or just sell online through your website, you can use these big data implementations to boost your business gains or for better customer experience in general. So, let’s get started.

Big Data For Personalized Services –

Nothing pleases a customer more than the fact that the retailer knows his/her preferences. Be it the books, the clothes, the smartphone brand, or pretty much anything, modern customers do not like to waste their time shortlisting the products and services that they are looking for. And with big data, you can help your customers cut down their product search time significantly.

E-commerce stores can use the browsing history for all their customers and analyze their preferences. By doing so, they can personalize their promotions, their ads, or just the product gallery, in general, to showcase or highlight the products that their customers might be interested in. You can even personalize your customer communication for every customer to make them feel special and offer them the products and services that they might actually be interested in. This not only will increase your conversion rates, but also will make your customer feel at home on every visit

Big Data To Predict Trends –

The increasing number of e-commerce store in the modern market has made the industry trends to change rapidly and competitively. Offering a trending service for your customers can significantly boost the popularity of your store. Businesses can use big data analytics to analyze trends from social media or other social forums to understand the sentiment behind a trend or a trending product. This information can further be used to stay relevant to the trend and offer the customers the best of the shopping experience. This will help you move up the popularity charts and make your business a hot favorite among the followers of the latest trend and will attract many new ones too.

Big Data To Understand Customer Demand –

With the flurry of options floating around, the customer demand changes with days. What’s in demand today might not be so much tomorrow. This is why to increase sales and profits, it’s absolutely vital to understand customer demand. And with data coming from a plethora of sources, it has become a lot easier for the companies to track the product that is trending among their customer base and to update the inventories accordingly to avoid any deadlocks.

Companies can use big data analytics to analyze their digital marketing campaigns as well to figure out what’s the hot favorite among their customers and determine the number of orders they might receive for the same. This will keep the product in stock with you always and will meet the customer demand at any given point. As a result, it will drive both your sales and profits figures up.

Big Data In Fraud Detection –

One major obstacle for any online shopping enthusiast or an online retail store is the fear of online fraud. However, that fear can be brought down significantly using big data analytics. Big data makes it easier for the online businesses to locate the locations, IP addresses, or just type of transactions that have seen the maximum number of credit card frauds. It can further help the businesses where Cash-on-delivery payment method has failed for the maximum number. Such crucial information can be further used to protect your business and your customers from falling prey to any such situations and consequently bringing down the online fraudulent transactions. And hence making your business safe and secure from any fraud.

Conclusion –

Big data analytics is beneficial for both – online shoppers and online businesses. It is transforming the whole world of online retail as we know it, using technologies like big data analytics and machine learning. All top businesses are leveraging these technologies and we think you should too. ')}

Let’s bring down that bounce rate

Let's bring down that bounce rate

Nothing hampers an online business more than a high bounce rate. It can also be attributed to the failure of a large number of e-commerce businesses on a regular basis. To understand it better, let’s simplify what a high bounce rate means. For the uninitiated in the field of digital marketing or Google analytics, a higher bounce rate for any website indicates the number of visitors leaving the website immediately or soon after visiting a website. Now, if it’s an e-commerce website, a visitor leaving the website means a potential customer walking out of the shop door, soon after entering the shop. It also means that they are not buying anything.

And when you consider the fact that the entire idea behind the existence of any e-commerce website is to make consumers shop online and sell stuff. It seems rather jarring.

If you are not able to make customers shop despite having a pretty looking website, an established brand name, and spending big on your digital marketing campaigns, you pretty much do not have an e-commerce store. ‘

However, to understand Bounce Rate for an e-commerce website, we first need to understand Bounce Rate in general. Technically, bounce rate for any website is the percentage of users who leave the website only after visiting one page or the home page. And for an e-commerce website, every customer leaving the website only after one page means an opportunity lost to sell something. Now, we understand that even after spending several pages and browsing several products a customer can decide not to buy anything and that is perfectly all right. There is nothing you can do over the internet to persuade any customer to buy every product he/she browses. However, there is something you can do to establish a relationship with the visitors, turning them into recurring visitors and eventually buying customers.

So, here we have listed some of the easy ways you can adapt to persuade even those finicky visitors to shop with you.

  • Focus On Your Product Pages

If we have to pick one page of the website that can turn a prospect into a customer, it will be the product landing page. You can have a jazzy homepage, a quirky welcome message to greet your customers, or even an attractive video to capture the attention of the visitor, but ultimately it’s the product landing page that will decide the fate of the visitor.

Your prospect will browse the specifications, the product reviews, the customer reviews and every single detail about the product on that page before deciding to put money down the table for it. Even the savviest of digital marketer will have no part to play in the decision that your prospect will be made after reaching the product page.

This is why it’s of utmost importance to optimize the product page to the best of your ability. Here are some tips to help you optimize your product page to boost your chances of converting a prospect to a customer.

  • Make the product page easily accessible. At any stage of browsing your website, the visitor should be able to reach the product page of his/her choice in as few clicks as possible. Ideally 3, you can even bring it down to 1.
  • Present all the product related information like reviews, specs, in a neat and well-segregated manner.
  • Highlight the “add to cart” button, so the prospect can add the product to cart as soon as he/she has made the choice.
  • Do not confuse the customers by showing too many “similar” products.

  • Divide your email list

We have discussed it in the past in some of our earlier blog posts and we will say it again, a personalized email marketing campaign will yield you a lot better results than a generic one. This is why the more you segment your email list, the better CTR (click-through rates) you will get for your email marketing campaigns.

Basically, email list segmentation is all about grouping your customer base based on their interaction with your website, ads, products, or just emails. You can even use the power of machine learning and big data, to further narrow down your prospects.

Using machine learning and big data you can even segment your prospects based on their likes, dislikes, their interaction with your offers and a lot more. Once you have a segmented email list with you, you can send them emails and offers that match their interests. These personal recommendations make the customers feel special and boost the chances of them shopping with you.

You can even personalize your website messaging, chat support, or even the SMS campaigns to boost the customer engagement on your website and consequently bringing down the bounce rate for your website.

  • Make shopping with you a seamless experience

Nothing hinders online shopping experience like a cumbersome checkout and product search functionality. This is why it is of utmost importance to offer a seamless shopping experience to the customers. Make sure you have your CTA (Call To Action) buttons, your products are easy to find, and all the information related to the product and its delivery is displayed in a proper way.

Lack of information related to product and terms of services should not be the reason why you lose your customers.

Having all the relevant information related to the product and terms of services boost the customer engagement and consequently brings down your bounce rate significantly.


It’s vital to build a relation even before you make your first sale and in the world of online shopping the only thing that can assure you a sale is the trust of your customers. If your customer doesn’t trust you, they are never going to buy from you.

This is why it’s very important, to be honest with your customers in terms of the information you provide them and offer them a pleasing experience on the website rather than shoving your products down their shopping carts right from the very first click.

So, make your website likable first, the bounce rate will automatically come down. ')}

A Primer On Big Data & Artificial Intelligence

A Primer On Big Data & Artificial Intelligence

Big Data and Artificial Intelligence are two buzzwords that keep making their appearance even in everyday conversation these days. Statements like “data is the new oil” and that “artificial intelligence is the future”abound in the tech circle.

From Facebook to Amazon and Google to Microsoft, every major tech giant is investing inordinately in big data and artificial intelligence.

In one of his statements back in 2016, Google’s CEO Sundar Pichai said,

The last 10 years have been about building a world that is mobile-first. In the next 10 years, we will shift to a world that is AI-first.

When you hear statements like that, you tend to take note of it. Now, despite of the buzz around big data and artificial intelligence, the difference between the two is rather murky for a major chunk. A lot of executives around the world still pit AI against Big Data, which although is a common mistake as the two go hand in hand, but they, in fact are two different tools.

Thus, it is critical to understand the difference between AI and Big Data.

AI & Big Data: Different Tools To Achieve The Same Task

Simply put, Big Data is the huge dump of unstructured data in the form of sounds, texts, images, transactions, messages, social networks, videos, etc. Artificial intelligence, on the other hand, is the science of computer programmes, which process that huge chunk of data and gives a structured pattern or output. This is the inherent difference between the two.

Breaking it down further, we can define artificial intelligence as a form of data computation, which gives a structured and detailed analysis of the data set fed to it. Some ways in which AI accomplishes the data analytics are:

  • Natural language processing (NLP): Understanding the human language and interpreting it accordingly.
  • Computer vision: Image processing using technologies like Tensor Flow to give computers the ability to identify, see, and recognize images just like humans.
  • Machine learning: Using statistical techniques to help computers ‘learn & process’ the data are given, instead of being programmed for an explicit function.

All of the aforementioned technologies allows the computer to execute cognitive functions like analyzing and reacting to the data set just the way humans do. One can argue that that is exactly what the traditional computer apps do too, and they will be right. Although, in case of traditional computers the reactions and responses from the computer are being hand-coded, which when you are dealing with big data is just not possible and in case of even the slightest of a curve like an unexpected entry, the traditional app fails. The AI systems, on the other hand, adapt to the change and accommodate the change in modifying the output. The purpose of AI is to evolve the computer functions up to the levels of human knowledge by giving them the ability to learn, reason, and then apply all of it for problem-solving.

Now the question is, how does all of it happen? And the answer to that lies in Big Data.

Big Data – The fuel for AI

Artificial Intelligence has been discussed at length since the ’90s. One fine example of it is its cinematic mention in the movie “The Matrix” in the year 1999. Humans combating with the machines that have developed their own intelligence, that’s AI for you in the nutshell. However, when it came to execution, AI was still a rather edging technology until in recent times.

The big bang in the world of artificial intelligence occurred with the dawn of huge parallel processors, to be very precise, the GPUs (Graphics Processing Unit). These GPUs are colossal processing units containing thousands of cores as opposed to the mere dozen in your traditional CPUs (Central Processing Unit). All those cores gave enough juice to the existing AI algorithms to carry out massive operations with absolute ease and made them viable.

These processors, when fed with the Big Data, allowed machine learning algorithms to assimilate and deduce a pattern or reproduce a behavior. It is worth mentioning that artificial intelligence, for all its intelligence, still can not deduce patterns and behaviors like we humans do. It acquires its intelligence through trial and error, and for that to happen successfully it entails big data.

One of the key reasons why AI apps of the past were not as effective or efficient as the ones we have now is due to the lack of data set. But now with a huge volume of data available with the organizations and faster processors, AI apps are thriving in every walk of life. The widespread access to the internet has also allowed for the real-time data to be fed to these processors for real-time processing and generating the output.

The self-learning ability of artificial intelligence enables them to extract the answers to all your questions from the data fed to it. It makes data an intellectual property and if you have the best data set in the world, even if everyone is using artificial intelligence, you will come on top. So, it will not be an exaggeration to say that, there will be no Artificial Intelligence without Big Data.

AI and Big Data Together

It’s safe to say that Artificial Intelligent (AI) needs big data to thrive. The better the data, the more effective your AI analysis will be as it can learn and evolve. Big data enables Artificial Intelligent (AI) to do wonders. So, you can say that there will be no artificial intelligence without big data.

From being deemed as a revolution to be called as a curse, AI and Big Data both have had their fair share of accolades and criticism. But whether you see them as technological developments that will change the future for mankind or a blossoming catastrophe, we will only find out in the future. ')}

Get Your Business Effective Omnichannel Retailing In 2019

Get Your Business Effective Omnichannel Retailing In 2019

Omnichannel retailing is the mantra for success in the modern e-commerce market. With online shopping growing leaps and bounds with every passing day, retailers across the world are turning to omnichannel retailing to drive profits to their business. If you are using a retail management solution for your business, you must make sure that they offer your customers the best shopping experience, irrespective for their shopping mode.

In simple terms, an effective omnichannel retailing solution will create a seamless shopping experience for the shoppers on every channel. Whether the shoppers are in your brick-and-mortar store, browsing your website on their home PC, or are discovering your products on product discovery platforms, their experience should be smooth at any given point.

And it is the only way to remain competitive in the fast-paced e-commerce world in the year 2019. So, here are some simple omnichannel trends that you need to take care of to grow your revenues and get your business right at the top, where it belongs.

Make Your Business Omni-Device-Accessible

According to a recent study published by Google, almost 85% of shoppers start their product discovery on one device and end on another. Your customers might browse your products online the whole day on their smartphone or PC and might end up buying it from your brick-and-mortar store in the evening. If your business is not able to accommodate such shopping experienced, you are losing out on such omnichannel shoppers.

Also, while you are making sure that your products are available across different devices, you need to make sure that they are displayed perfectly on all the devices. The web pages should have a responsive design to make sure that they are rendered properly on all devices. Whether it’s a desktop, a TV, a phone or a tablet your web pages should have the same content quality across all screens. It is also advised to use analytics to understand the shopper behavior and interaction with your web page. This will help you optimize them better and help you in your device-targeted marketing campaigns strategies.

Use AI and Machine Learning To Offer A More Personalized Shopping Experience

Technologies like Artificial Intelligence and Machine Learning have made a huge impact on the retail industry. Not only the tech giants like Amazon and Google but also the smaller retailers are leveraging the consumer technology for their businesses. With the accessibility of consumers likes, dislikes, shopping pattern, and preferred mode of shopping, retailers now can run campaigns and offers tailored specifically to every individual or a particular set of consumers.

Features like virtual try, a 3D look at the product, and setting up a reminder for a product that is out of stock are just some ways in which artificial intelligence and machine learning have helped the retail industry. Businesses have also used personalized messaging and retargeting to greater effect to capture the consumers online. As the technology world grow, the way with which businesses interact with consumers will grow too and if your business is equipped with the tools needed to accommodate that change, you certainly will get a competitive edge over your competitors.

24×7 Customer Service

One of the biggest drawbacks associated with brick-and-mortar store has always been the limited visibility of the products. Your products in your store are only visible as long as the doors of your store are open, once you shut them down, your products become inaccessible to the customers. But with an omnichannel presence, your products remain discoverable even though your store doors are closed. This is why product discovery platforms like Taglr are growing in popularity day by day. Taglr keeps makes your products visible even after your operating hours, which means consumers who are keen on online shopping can still order your products and get the desired customer service even when your store is closed.

This one advantage that omnichannel retail has over the conventional retailing channels. In recent times the search for “24×7 customer service” has seen a growth of over 400% and hence more and more businesses are leaning towards it. This presents you with an opportunity to stand out from your rivals and shows your customers that you care for them at all times.


With the growing use of technology in all walks of life, it’s vital for the businesses to be present omnichannel to attract the users they so desire. These omnichannel retailing trends might seem like a daunting task, especially for the small-and-medium-sized businesses operating in niche markets, but if done right, they can be the deciding factors in any businesses’ success or failure. ')}

Artificial Intelligence on Shoestring Budget

Artificial Intelligence on Shoestring Budget

Businesses, big and small, these days are all accrediting their success to technologies like Artificial Intelligence, Machine Learning, or Big Data etc. Adapting new technologies for business has been a mantra of success since the beginning of time. And it remains the same even now. Whether you are a big multi-store retail chain owner, or a small shop owner in the neighborhood, adopting new technology for your business can certainly put you ahead of the curve.

Some of these technologies you might even have experimented with or at least would have contemplated at least once.

So, what happened?


We understand. Naysayers will always be there. Whether you are implementing new technology to your business, or just extending the porch outside. The naysayers are always there. In case of technology though, their job gets a tad easier with statements like

Oh, but AI is not for everyone”, “Oh, but do you have the tech expertise in the field of big data or machine learning.”

And your answer to all those statements, whether you have an expertise in any of those technologies or not, should be

I don’t need, the expertise.”

Yes, you certainly do not need. Leveraging the power of AI or machine learning for your business is not as complicated as you think. And we will tell you how.

Here are a few ideas that will help you leverage the power of AI on a shoestring budget.

Build A Bot  –

Whether you are looking for customer support or employee engagement, implementing a bot can help you a lot. Building a bot is also the easiest way to get a taste of the AI world. There are platform’s out there that will help you build a simple company chat-bot and integrate it into your business, for whatever need you might have. An AI bot build specifically to meet your customer support requirement will keep your business 24×7 accessible and help customers with their inquiries, even when you are not there to answer the questions in real time. This is a huge addition for any business, especially in times like this where customers are incredibly impatient. Even consumers have accepted bot support with open arms and have started loving them.

According to a study, almost 85% of all customer interaction by the year 2020 will be managed without any human intervention. Having a friendly informative bot for your business will not only make your customer happy and engaged but also will free up a lot of time for your employees, allowing them to focus their energy on other unique and challenging tasks. Even if you are looking to boost employee engagement you can integrate a bot to answer the simple HR related queries, ease up the on-boarding process, or just to help employees get answers on the fly. There’s so much you can do with just a simple bot integration.

SaaS (Software-as-a-service) based AI-Ready Platforms –

Even if you do not have a huge data warehouse or even the budget to go for an infrastructural overhaul, you still can use smart applications and technologies that use artificial intelligence at their core.

SaaS based AI-ready platforms such a Taglr are great cost-effective entry points for small businesses in the world of AI. These AI-ready solutions help you get advanced technological solutions for your business on a budget. Within minutes you can get your business listed on Taglr and leverage the power of advanced data analytics, machine learning, and artificial intelligence to take your business to your customers.

We all have already been using the AI solutions offered by Facebook and Google for our online marketing campaigns. Just like digital marketing, listing your business on product discovery platforms like Taglr can also open up various new avenues to showcase your products to potential customers.

Finally, to sum things up, if you are looking to integrate AI into your business, you aim should be to find applications that align well with your business aspirations. Whether you are looking for customer engagement, online marketing, or just to take your business to millions of shoppers in the online shopping universe, you must think through, define the business goal and the get the applications that best aligns with your business goals

With strong and powerful AI tools available at your disposal, whether you are planning to integrate AI-powered functionality to your business now or sometime down the road, it’s very important to understand your business goals and identify what will match with them perfectly. ')}

AI and Hyper-Personalization

AI and Hyper-Personalization

For many, the age of personalization in the field of advertisement and marketing began when they first got the mail that was addressed as “Dear Marry” as opposed to an anonymous greeting like “Dear Sir”. To an extent they are right. Many of us in the world of advertisement and marketing woke up to the power of personalization with the significant success of personalized campaigns as opposed to the generic ones. Since then, consumers have been bombarded with hundreds of promotional messages on a daily basis.

As a result, the consumers have lost the interest and excitement that they once had for such personalized emails and campaigns. It has made it harder for the brands to engage with their consumers on a personal level. Marketers all over the world are working to find an effective solution to all of that and they might have found one in Artificial Intelligence. With the monumental rise of artificial intelligence and machine learning in recent years, their implementation in pretty much every field has been groundbreaking. So, why not marketing?

Now, as we all know, data is at the core of it all. To make an AI implementation work for you, you need big sets of data. The bigger the data set, the more relevant and useful information will we be able to extract. While this marks the beginning of a totally new marketing approach – Hyper-Personalization, it is the end of the road for the segmentation approach. And from the looks of it, hyper-personalization is the way forward.

So, let’s take a closer look at the Artificial Intelligence-Based Hyper-Personalization and how it changes the conventional marketing techniques we’ve all grown up on.

The emergence of big data

Data is the new oil” we all have come across statements like this more often than we care to count. Mostly in recent times. This significant rise of big data and companies capitalizing on it is the biggest factor behind the meteoric influence of technologies like machine learning and artificial intelligence in every field. The machine learning algorithms, when running through a huge set of data sets, can draw patterns and conclusions in minutes, for which the human brain will need years. It computes consumer behaviors such as their likes, dislikes, their shopping pattern etc making it easier for the marketers to target the consumers.

The feedback loop

One important part of hyper-personalizing the online marketing campaigns is constantly tweaking the consumer details after every campaign. This is done through a feedback look, which is a part of Artificial Intelligences’  self-learning. In simple terms, a feedback look is a simple process which constantly gives feedback on the decisions made by the system. Based on the feedback the AI system learns whether the decisions made were right or not and if they need any tweaking. Depending on the outcome the algorithm is smart enough to tweak itself according to the new data to help marketing teams.

Understanding the difference between Personalization and Hyper-Personalization and

It’s easy to confuse personalization with hyper-personalization if you are just starting in the world of AI. However, they both are totally different. While personalization deals with the personal and transactional data like name, purchase history, and basic profile details, the hyper-personalization is all about the behavioral data in real time.

To help you understand hyper-personalization better, let’s take the example of an online shopping website. You sign up with them, you search for products there, you spend hours finding the right product and then you finally place the order. Now all of those actions you took becomes the data point for that particular website. Now they know your name, search query, your purchase history, and brand affinity etc, an average spend amount, etc. They can use all that information to create a profile for you for a very personalized email, which will only feature things that you like.

Why Hyper-Personalization?

Studies have found the hyper-personalized campaigns to be almost twice as successful as the general campaigns. In fact, in the world of e-Commerce, it amounts for the 60% higher conversion rates as opposed to the normal campaigns.

The best thing is that hyper-personalization not only helps the brands, but it incentivizes the brands as well. The consumers are now able to find deals and products at better prices and just in time of need. They get the promotional campaigns for the products that interest them as opposed to a whole gamut of products that might not be relevant to them. It’s a win-win for all.

Finally, with artificial intelligence being the driving force behind the e-commerce world, technologies like hyper-personalization are bound to make marketing a lot effective. So, if you are looking to leverage the power of artificial intelligence for your business, listing it on product discovery platform like Taglr, is a smart step forward. ')}

Get your e-commerce business ready for 2019

Get your e-commerce business ready for 2019

What works today, might not work tomorrow!

This can be said about pretty much everything around us. And marketing is no exception. Whether you run a successful e-commerce store or are just starting into the world of online shopping, you must make a note of it. The marketing trend in the modern technology-driven world changes even before you notice them. This is why the big organizations or the successful e-commerce stores make sure that they are updated with the changing marketing trends and adapting accordingly.

Adapting to the new changing trends and experimenting with them is the way forward for businesses online and offline. If you want to drive profit to your business, you must stay updated on the changing online marketing trends.

In the year 2018, we have already heard about data analytics, machine learning, artificial intelligence etc. And while we will continue to hear about them in 2019, some other terms that you will eventually encounter include the likes of influencer marketing, augmented reality, virtual reality, and a wide range of advertising and marketing possibilities. But not all of them will have an instant impact and you will still have to wait for a year or so to see them in full action.

Some practical ones though, which will have a significant effect on the e-commerce marketing world we will be discussing today. You might have heard of them before, but if you have not started using them for the greater good of your business, you should start now.

So let’s get started.

Website Performance

Website development and designing are the first steps every business takes after deciding to go online. Unless you list your business on product discovery platform like Taglr. And while the website development and maintenance comes under the technical department, with a programmer and a designer, a lot of decisions regarding the website are taken by the marketing team. The content, the SEO (search engine optimization), the flow of the website, the layout, and many other parameters are being decided by the marketing team.

However, at times while making those marketing decisions, the technical aspects like sites loading time gets overlooked. And in 2019, that could be disastrous for your business. According to recent studies by Google, the average webpage load time on mobile is 22 seconds, which when compared to the 3-second attention span of the user is huge. And if you don’t address it, it can have a huge impact on the performance of your business.

In the recent Google SEO updates, Google has made the website load speed a ranking factor. This is the reason why all the major e-commerce websites have improved their websites, web apps, and developed accelerated mobile pages. And we suggest you should too.

Voice Search

According to the recent studies, the future of search is Voice. In coming few years we will see a significant growth in the voice search across all devices. And we can see it happening as we speak with the significant development in the voice technology. Devices like Google Home, Amazon’s Alexa have already made their way into our drawing rooms and many others will soon follow their footsteps.

So, when the future of search is voice, it’s important that you not only optimize your business for text search but also for the voice. The use of NLP (natural language processing) can help you in optimizing your business for voice search. And like always if you start early, you will certainly reap the benefits ahead of your peers.

Content Marketing

Amid the talks of all the technological developments taking over the marketing sphere it’s easy to overlook the fact that content marketing still is the most powerful and rather new phenomenon. Content marketing has evolved from just one way communication from the brands with the consumers to a powerful doorway to connect and build relationships with the consumers.

Some of the most successful marketing campaigns of recent times are the ones where the brands have established a relationship with their customers and capitalized on that bond. Having a strong content marketing strategy helps e-commerce businesses engage with customers on a more personal level and ultimately turn that into a business relationship with assured success.

The year 2019 will see further growth in the field of content marketing and while it might not be a new trend, it will still be on the rise and will be a good weapon to have in your arsenal.

These are just three of trends that you need to keep your eye on in 2019 if you are looking to boost the visibility and profit margins for your business. We will continue posting many such trends that will help you grow your space, so keep watching this space. ')}

What 2019 Has For E-Commerce

What 2019 Has For E-Commerce | Taglr

There still are few months before the celebrations of the arrival of 2019 kicks in. And while there still is a good lot of 2018 in our hands, it is just the right time to think about what 2019 holds in store for us. More specifically, for the e-commerce market in Indian. According to Forrester, the retail market in India saw a growth of estimated $470 billion in the year 2011, grew to an estimated $675 Bn by the year 2016 and is expected to touch the $850 billion mark by 2020 with an estimated CAGR of 10%. It is the fastest growing retail market in the Asia-Pacific Region with a CAGR of over 57% between the year 2012–16.

The incredible growth of the retail industry has also rejuvenated the online shopping industry in India, which now is among the largest in the world. So, it is only fair to have a closer look at what the future has in store for the Indian e-commerce market. We have already seen an incredible growth in the number of products offered online, a number of online stores itself have gone up significantly and so has the number of services offered by them. And if the trends are anything to go by, the Indian e-commerce market has just begun. With a deeper penetration of technologies like artificial intelligence and machine learning the Indian e-commerce industry is set for some monumental changes in the coming years.

Retailers have started to understand the needs of consumers in a better way, they are open to adopting new technologies and new ways to cater to consumer needs, and to remain competitive. So, with 2018 just about to say goodbye to us, it’s about time what are some of the groundbreaking developments we can see in the year 2019.

The emergence of product discovery platforms and marketplaces –

Marketplaces have dominated the Indian e-commerce industry since the beginning of time and they will continue to do so for at least the foreseeable future. But alongside them will be the product discovery platforms like Taglr and many others using advanced technologies like artificial intelligence and machine learning to make it easier for their consumers to find products of their choice beyond the physical boundaries. The increasing use of technology to better the online shopping experience for consumers will lead to world-class products and services, new innovations, and even lower prices for the consumers. So, if you think you’ve already had the best online shopping experience, there are quite a lot of surprises waiting for you in the year 2019.

Automation For The Win –

Automation in the e-commerce industry has been a game changer since its inception. However, while initially automation has been used extensively in order tracking and marketing purposes, it now has started to become an integral part of the inventory management and fulfillment across the sales channels. And we hope to see it increase even further as we see the emergence of new product discovery platforms and marketplaces. Some other areas where automation can have a significant role to play include the likes of operations, physical channels etc. So, if you have to survive in the modern e-commerce market, automation seems to be the road forward.

The rise of Artificial Intelligence, Augmented Reality, and Chat Bots –

In the year we saw augmented reality make inroads in the gaming industry extensively. In the year 2019 augmented reality with its extensive use in the practical applications will head towards the retail stores and into our homes. Some of the fine examples of it we have already seen in the applications that allow you to try your products even without leaving your homes. Chatbots will also see a significant boost in the field of customer service by taking over the tasks such as order status or checking the tracking numbers. In a similar way, the machine learning and artificial intelligence applications will help the businesses in their strategic growth.

Voice Commerce –

The increasing number of smartphones and handheld devices has given a significant boost to voice search, which consequently has given birth to voice commerce. As per a study, the number of users using voice assistants will grow up to 76.5 million by the year 2019 and retailers will have to tailor their products and services to tap into this growing market. By including this technology in their businesses, retailers have a huge opportunity to put their business ahead of the game and maximize their profits.

Personalized & unique offers over discounts –

A lot of retailers in the current online market focuses on offering lucrative discounts as opposed to building a unique brand experience that will align with their customer values rather than just providing them short-term gains. Going forward this approach will yield them very little to know business gains. The future is all about personalized shopping experience as far as the e-commerce industry is concerned and with deeper integration of artificial intelligence and machine learning, it has become a lot easier for the businesses to offer personalized products and services to satisfy their customers. So, if you want to attract more customers to your business you might want to switch your focus from offering discounts to actually offering a unique brand experience. ')}

Be Omnipresent, Capture The Online-to-Offline Shopper

Be Omnipresent, Capture The Online-to-Offline Shopper | Taglr

Technology, for all the advantages it has offered, has also made it tough for us all to keep up with the constant changes in the technological sphere. It took some time for the retailers to adjust to the growing pace of online shopping and an increasing number of shoppers drifting away from the conventional in-store shopping. However, with the limited number of platforms to start with, retailers and shoppers alike found it easier to tie their loyalty to brands like Amazon, eBay etc for their online selling/shopping needs. But then, technology moved forward, bringing in a myriad of online shopping platforms, with every one of them offering something new, something attractive to the customers and retailers both and they both were again made to re-align their loyalties.

And just when we thought that the online shopping market has peaked, there comes the O2O (Online to Offline) concept with product discovery platforms like Taglr. And once again both, the shoppers and the retailers are in a bit of tussle regarding their loyalties.

In such times, the question that every retailer ask is, “What should be my approach to maximize my business gains?”

And the answer is rather simple, be Omnipresent.

But it’s easier said than done. Capturing the online-to-offline shoppers will need you to up your business game and here’s how you do it.

It’s no secret that the search for any product that a modern shopper needs begin online. The modern shoppers like to surf the interwebs extensively before putting their money down the table for any product they need. They like to read reviews, they like to check the specifications, and they even want to compare the product to a similar product from another manufacturer just to make sure that they are making the right decision.

This is why the retailers and the brands are actively seeking platforms to offer everything a modern shopper needs along with the seamless shopping experience from their offline store. And a platform like Taglr enables them to do exactly that. In the modern competitive shopping environment, it’s very important to grab the attention of the shopper online to drive them to your store offline. And the modern product discovery platforms does exactly that for the modern retailers and brands.

A product discovery platform advertises the product available on the shelf of a store nearby alongside the offerings made by big e-commerce platforms like Amazon etc, enabling the customer to make a better decision ahead of their purchase. While it broadens up the selection criterion for the shoppers, it also provides a level playing field to the smaller retailers to compete with big the big e-commerce giants. The decision to purchase in the end lies with the shopper only, however, the shoppers now have a gamut of options to choose from.

And this is what being “omnipresent” means. While you still have your physical presence in the market, with the help of product discovery platform and their online marketing channel, you now can tap the shoppers looking for your products online as well.

That being said, being omnipresent does come up with its own fair share of limitations as well, especially if you are an offline retailer as you will be competing with the online shopping giants like Amazon, who somehow has leapfrogged pretty much every online shopping platform. So, it’s very important that you stay with the shopper at every step of the shopping. And it’s not a rocket science to do so. The online product discovery platforms give you channels like chat, email, or a contact number to keep in touch with your customer. So that you are there to assist them if and when they need you. And you must use such channels to greater effect.

Finally, if you are looking to make your business omnipresent for your shoppers, we suggest you get yourself an advanced product discovery platform equipped with technologies like machine learning and artificial intelligence, to make sure you are making smarter business decisions. ')}

Product Discovery Platform – Every Retailers’ New Best Friend

There was a time when retailers will pay a guy to stand outside their store to attract customers in. Some others will put on flashy store signs displaying their latest range of products, offers, and deals going on in store. Some still do, but the majority of the retailers don’t. Those days are long gone. In the times of online shopping, those marketing gimmicks are passe. With fast changing technology sphere around us, the conventional way of selling and marketing have taken back seat, with technology right at the forefront of it all.

The way customers shop in modern days is no way near the way customers use to shop some time back. They now have the power of technology, which allows them to browse multiple stores, options, and deals at once, right on their fingertips. The emergence of big e-commerce has empowered the customers even more and with easy payment and delivery options, it’s getting tougher and tougher to make the customers leave their comfy couches, let alone walk into a brick-and-mortar store. Now that is not to say that the conventional offline retail market is dead. It is not. At least, not now.

We have seen some significant development in the virtual world with the emergence of e-commerce stores that have made it easier for the customers to shop right from the comfort of their homes. The offline market has also seen a significant growth in the opportunities to take their business to next level and stay relevant in the modern online shopping dominated market. One such technological development that has emerged as the new and perhaps the saving grace for the offline retailers is the emergence of the product discovery platform(s). And today, we are going to discuss product discovery platforms like Taglr and how they have emerged as the new best friend of the traditional brick-and-mortar retailers and the shoppers alike.

What exactly is a product discovery platform?

Now there are a lot of ways in which we can look at these product discovery platforms (s). But we will try to keep it simple and help you understand these platform(s) in a very clear and crisp way. Or at least we will try.

If e-commerce platforms and internet brought the shoppers online and made online shopping a thing, the product discovery platform(s) are doing the same for the retailers. These platforms empowered by technologies like artificial intelligence augmented reality, machine learning and many other latest technologies are providing a level playing field to the retailers to showcase their products to the modern online buyers and compete with online e-commerce giants.

These online product discovery platforms are tailored to match the need of the seller and the buyers at the same time. While for the customers these product discovery platforms make it easy to research and find the best products online, for the retailers they take their stores to the smartphones and laptops of the potential customers in an easy and simple way, even without any technical acumen. These platforms are revamping the way customers discover products by not online showing them the product options available online, but also showing the product options from the stores nearby.

How does a normal retailer benefit from an online product discovery platform?

With the increasing penetration of internet and handheld devices, customers are more connected to the online world than the real world. According to a study published by Google, India alone will have over 100 million online shoppers by the year 2020, which is a clear indication that taking your business online is the way forward. The sooner the brick-and-mortar retailers take their businesses online, the better will be the results for them. So, amid all this talk of the internet being the future and e-commerce giants constantly broadening their profit margin, where does the online product discovery platform fit in? Let us tell you how.

  • These online product discovery platforms allow retailers to list their products and advertise them to the online shoppers without the hassle of opening a store of their own.
  • They put the small to medium retailers right in the mix of the big e-commerce giants without going through the technological hassle that comes with creating and building an online store.
  • They provide complete freedom to the retailers in terms of listing the products, pricing, and products they want to promote.
  • Finally, they use advanced technologies like machine learning and artificial intelligence to help retailers understand the modern shoppers in an easy and detailed manner.

With all these awesome features and functionalities these online product discovery platforms tailored for retailers are the gateway to the constantly growing e-commerce world across the world. Whether you are a small retailer looking to expand your business avenues or a multi-channel retailer looking to spice up your profit margins, we think signing up with one of these online product discovery platforms like Taglr can benefit your business in more ways than you can imagine. So what are you waiting for, sign up now and swim among the big fishes? ')}