With voice assistants becoming a lot more popular these days, voice searches are becoming more accessible. And there are separate dedicated SEO methods to do voice searches optimization.
For eCommerce, voice searches have grown more important over the years. Siri, Alexa, Google Assistant, and Cortana are the most popular assistants today.
Today, 41% of adults use voice searches at least once a day. That is a staggering number of people for eCommerce. And AI contributes greatly to the accuracy of these voice searches.
Over the years, assistants have gotten much better at recognizing sentences and responding to them. It has happened because of the improved AI that is present on their servers. As AI adapts to natural language processing, we will see much more voice searches in the future.
Keywords are a critical part of the eCommerce SEO process. And companies spend large sums of money to get this right.
People need to spend time and effort to get this right. But with the advent of AI, things have become simpler. AI can speed up the process through much quicker processing of information. It also has a lot of data stored, which can help draw better results.
The arrival of AI to research has been a huge step in making eCommerce SEO a more affordable proposition. Complex AI subroutines can deliver great results in a lot less time. They are also able to process a lot more data than human operators. It gives them a slight edge when dealing with large data sets.
At the moment, AI cannot completely replace a human SEO analyst. But, they can still compete with them.
An important part of an eCommerce business is the scale of it. Usually, any eCommerce business has a lot of products which are being sold all over the world. It creates a lot of stress on several components in the pipeline. But with AI, you can reduce a huge part of that. It uses the power of advanced computing to extract important data about consumer demographics.
AI has the answers to specific queries that might take people a long period to solve.
For example, customers buying product X over the last three days from Denver who have also bought product Y.
An AI can deliver this result to you in seconds. It might take an SEO analyst a few moments to process.
Time saved adds up at the end of the day. That is where AI can improve the profitability of a company.
A key advantage of AI is the ability to automate processes. As AI has become advanced, there are a growing number of applications that uses AI.
You can have AIs automate content, email, market research and search analysis. These were usually areas which required SEO experts to work. But today’s AI does an even better job of it.
All it needs is a good amount of training. It involves setting a few conditions - what should happen when. But after the training, you can sit back while the AI takes care of things for you.
More advanced AI routines can incorporate training on the job as well. It means the more it works, the better it gets at its job.
About eCommerce, cart abandonment rates have been at an all-time high. The reasons are many - incompatible payment options, better deals, delayed delivery dates.
As a business, you need to learn from your mistakes to improve your profits. But this takes a lot of work hours to get done. And sometimes your SEO team might be busy with other important tasks. That is where AI can step in and help you out.
Given a history of your website’s transactions and customers, an AI can improve your odds. It can find similarities and highlight areas where your company is lacking. It also factors in several other attributes that people might miss like online customer behaviour.
AIs, give you actionable advice to improve your marketing funnel. You can accomplish this quickly, and your SEO experts don’t need to waste time waiting around.
Customer churn is when people prefer another brand over yours. User churn is something that all eCommerce brands deal with. And it happens so consistently that most companies have plans to deal with it.
The problem-solving strategies to deal with churn can be expensive and time-consuming. And a lot of times, you can prevent it if you do the right research better at the start.
With an AI, you can have several conditions in place that prevent this from happening.
With large data sets:
You can also focus on retargeting these clients. You will have a better chance of drawing them back.
Even for the biggest eCommerce business, there might be times of high user activity. Not having an option for chat is unacceptable, and you will begin to lose customers.
Most times, when they are not able to handle demand, they turn to AI for help. There are certain expectations when it comes to user interactions with eCommerce websites.
Using chatbots for customer interactions can let people focus on other more important tasks.
Here is an example of how this works.
Let’s say a user has a problem with his product or service. They want to return it for the same reason. It is a simple request that a chatbot can handle. The staff does not need to be disturbed at all.
For an eCommerce brand, thousands of such interactions happen every day. It translates into a lot of time saved.
Sometimes people are directed to a product on the eCommerce website through a search that is irrelevant to their request. It results in a lot of churns and dissatisfied customers.
The key here is to utilize AI for creating a more customer-centric search experience. That is why advanced AI uses natural language processing to deliver search results. Doing this gives a brand much better outcomes. It is also in line with new standards of search engine algorithms.
Ecommerce websites are supposed to optimize for natural long-tail keywords. Of course, this has everything to do with the customer. And this is likely to overwhelm people. But with an AI in charge, you get quicker results and at a much lower cost.
Conversion rates are everything to an eCommerce business. It is a reflection of how well they can sell their goods. It is also an indicator of how well they’re able to connect with their audience and their relevance in the market.
AI-assisted tools offer significant improvements to your sales pipeline. They can generate audience data quickly and accurately.
Top eCommerce brands can optimize their conversion rates because they use AI for audience analysis. More specifically, they tailor campaigns for different audiences. It results in a much wider appeal and higher quality leads.
Better quality leads to less time spent in the marketing funnel. It makes AI a much better option for dealing with demographic related information. And especially because there are a lot of data indicators.
In the eCommerce industry, a driver is an aspect of business that makes results happen. As an example, let’s say a client subscribes to a program on your eCommerce brand. It results in them spending more money. And that program would be ‘driving’ more sales from that customer.
As you can see, this is not a complicated task. But the difficulty here is the number of people you have to deal with daily. Using AI for tasks such as these can help your workforce focus on other core aspects.
An advantage with AI is that you can compile this data and use it later. It is incredibly useful for creating new programs like outreach and contests. You can tailor your future programs based on this data. And since this is AI-powered, you can scale it without any problems.
For eCommerce companies, retargeting is an important source of traffic and revenue. Retargeting is a process which helps brands reacquire a customer.
For example, let’s say a person has abandoned a cart with pencils. To get them back into the purchase cycle, the brand sends them an email for discounts on paper.
Retargeting is sending emails, messages or displaying targeted ads for a related product which they might find interesting. But this is easier said than done because the process is difficult. It has several hundred conditions and data points, which might be difficult for the average person to handle. But for an AI, this is hardly a problem.
Today’s advanced AI is used to handling a huge amount of data. It means AI’s can do a much better job at this rather than a human.
As competition mounts, brands are looking for ways to streamline their sales pipeline. Hiring more people is not a great solution as it has several limitations. It is expensive and does not offer scalability.
AI offers you a way to do both and at much higher efficiency. Using AI at specific points in your sales, the funnel can have a positive effect on your pipeline. It becomes a lot cheaper, and you can even scale it to handle more data.
Implementing AI on your current workforce can be more productive as well. You can assign them tasks that align with your core functions. The AI can handle all the other tasks that do not require specialization.
More people have access to new handheld devices like mobile phones and laptops.
But for an eCommerce business, this is a nightmare.
Why?
Because for an eCommerce business to succeed, it needs to be able to have consistent layouts. There might be offers and discounts that users might miss because of bad design. It can lead to a lot of problems for brand value.
New devices come in a variety of different screen sizes, so having people work on this can be tedious. But for an AI, the task is a lot easier.
AI connects in real-time; it can make changes on the fly. It ensures the display on the device is as it’s meant to be. And again, this is much cheaper than getting designers to work on new templates every time.
AI isn’t only online; it helps in real-life situations as well. Technology has advanced to a point where robotics has become a reality.
Several eCommerce vendors have now switched over to robots in their warehouses and stores. Let us take the example of Amazon in this regard. It is a well-known fact that they are perhaps the largest eCommerce business.
In their warehouses, a human has to walk 10 - 20 miles in a day. It isn’t easy or efficient. Amazon now has over 200,000 robots working in their warehouses. It has enabled them to ship a lot quicker without any delay in storage. And this is a critical reason why their financial growth has been tremendous since then. Even though we do not have completely automated warehouses, this is a distinct possibility in the future.
In recent years connected devices started playing a crucial role in our lives. The penetration of high-speed internet to all household’s means more access to various functionalities. It has enabled the IoT (Internet of things) to be feasible today.
When various appliances connect to the internet, it forms an ecosystem. All of this is controlled by AIs at both ends. What this means is that your homes become a lot smarter.
Your fridge can automatically order milk when you’re running low. And all of these benefits eCommerce. Amazon already has an order ‘button’ which it sells to its customers. They called it as Dash Button.
Dash button connects via Wi-Fi. You can order a preset product on it with one click. They have slowly discontinued this because of the Alexa voice assistants.
You can also synchronize Alexa with your household appliances. It offers much more interactivity through voice recognition.
Product recommendations are a method to get people to shop more effectively. Ecommerce brands show users recommended products when they have added items to their cart. They shortlist it based on several customer attributes like geographic location, age, and buying history.
Recommended products are a huge source of income for eCommerce brands. But they need to get it right to reap the benefits.
Even for a medium-sized eCommerce brand, the number of data points can be high. And this can pose a problem when done manually. Not to mention the inaccuracies that might creep in when dealing with large data sets.
AI offers a feasible solution to this problem. Advanced AIs can automatically improve recommendations based on user behaviour. And since they do it in real-time and the results are much more usable.
Every eCommerce brand needs to have a consolidated shopping assistant. It helps them test their strategies and products. It is perhaps a kind of application where you cannot use humans. The reason is that sometimes humans may take biased decisions. So there are chances that the data may be unreliable.
A much more effective way to go about this is implementing a shopper through AI. And this is just what Amazon has done through Alexa.
The voice assistant also is a virtual shopper. It can give you advice on the products you’re looking for. It can also accept several specific parameters.
Alexa AI has gotten so advanced that it can store buying patterns. Alexa later uses these patterns to improve recommendations.
Intelligent agents are one of the newest branches of AI.
An intelligent agent is a combination of autonomy, adaptivity, reactivity, knowledge and collaboration. It needs all these attributes to perform its tasks effectively.
AI analyzes every customer’s buying behaviour during a specific time. Later you can use it to build it into a model for that user. And in the future, for any recommendation or upselling, you can use this user you have created.
AI agents use ‘intelligence’ to infer or act based on past preferences. Since it is also capable of learning, it can make changes to the user profile.
Wearables are the latest in technology when it comes to consumers. There are a variety of wearables in the market tailored to different users. Most of them aim at fitness enthusiasts like step counters. But a few of them have vital functions like monitoring health conditions.
Ecommerce brands are utilizing this as a possible improvement in sales. It gives them the option to collect more data than just buying behaviour.
For example, a fitness tracker could have enough data about your lifestyle and physical aspects. AI can monitor several sources of data to build a much better client profile.
Using data from wearables has a significant positive impact on sales. Another aspect is that wearables are now part of a cashless economy.
Meaning, your wearable can contain all the information you need to validate the payment. It makes buying (and selling) easier for people and brands.
Something that has been plaguing eCommerce platforms has been the influx of fake reviews. Over 95% of all consumers generally go by what product reviews say. It means how the product review turns out plays a huge role in the sales of a product.
The goal of an eCommerce website is to keep the reviews sections as unbiased as possible. But fake reviews can swing the votes to either positive or negative.
Unfortunately, for people to study every review is a painstaking task. And for a website like Amazon, which has 10k reviews on a single product, this might even be impossible. It is another area where people have adapted AI to deal with reviews.
The AI uses machine learning to compare words used in reviews to other fake reviews on the internet. And in a study dealing with fake reviews, AIs were able to detect 90% of them.
For any SEO practice, localization is a big part of the operation. But for eCommerce SEO, it’s not easy to get various local profiles for various customers. It is primarily due to the huge amount of data that needs to be processed daily.
Add to this, the various complexities of the local market. It is a problem that seems tough to solve. But AI has the accuracy and appetite for data to end this problem.
Advanced AI can handle thousands of customer attributes and does so much quicker. Ecommerce companies can better connect with local businesses using AI.
A few examples are hotels, restaurants, and other enterprises. For users, this enables a more powerful search for local products. It offers a whole new experience for them. It works much better for getting more customers in the long run.
Like a voice search, visual search is also becoming an aspect that eCommerce brands should focus on. Several search engines offer this, and it has been becoming popular.
A good example of this today is the Google Lens app on android smartphones.
For eCommerce SEO, they need to implement this into their database. And the best way to get that done is through AI.
Intelligent agents can help match image search requests to products. It can improve sales numbers and result in higher quality leads as well. It is a tedious task for people, but AI is perfectly suited to this. Advanced subroutines can match images exactly regardless of the quality.
Security concerns are a huge part of any business and especially eCommerce. A customer shares a lot of personal information with an eCommerce website.
Hackers may steal credentials like Passwords, mobile numbers, credit/debit card numbers. It is an area where AI is a huge influence.
You can design most of the security frameworks with the help of AIs. It makes them virtually impenetrable. Also, AIs can safeguard a website from attacks such as DDoS and ransomware. These kinds of online attacks can cripple an eCommerce website resulting in losses.
Having robust security improves the trust factor. It results in more people opting for your brand as they feel safe. If there are data leaks due to lack of security, there might be expensive legal issues that can arise.
For a business, the ability to forecast numbers is critical. It allows them to make effective changes to their pipeline. It can also help with resource allocation and procurement. However, this is not an easy thing to do.
There are hundreds of thousands of permutations and combinations which can apply. It can easily confuse people who do not have any expertise in this.
Using AI, you can avoid this problem. It can handle a lot of data. Also, it can predict much more accurately, taking into account several factors.
Today’s neural networks have been able to outperform their human counterparts consistently. It also works to be much cheaper in the longer run. AI systems are getting much better at predicting sales as technology improves.
People hail augmented reality as the next great revolution. Ecommerce vendors started adopting it over the world.
For customers, something that they’ve been able to do in a store is to try products. It has always been a limitation with online stores. Well, at least until now.
With augmented reality, you can look at how these products will look. All you need to do is take a picture of the subject and apply the product.
You can use it for furniture, clothes, and glasses, to name a few.
You can flip through different clothing styles and check if they look good on you. It is made possible with the power of AI. It gives users that extra layer of convenience.
Social media has close to half the population of the world on at least one platform. To say that social media is popular is a huge understatement. It is a part of every eCommerce SEO pipeline, and it is only getting bigger.
Most social media platforms have a complete suite of business tools. You can make use of these tools for your eCommerce brand as well. The key here is to interpret social media analytics and integrate it. While it is simple enough for a regular business, eCommerce needs much more attention.
AI-powered solutions can help give you real-time results and handle huge amounts of data. You cannot compare their efficiency and throughput to manual methods.
High-quality content is the best method to rank higher in searches according to SEO. But for eCommerce, the demands are quite heavy.
Blogs and product descriptions can reach over 100,000 words in a day. Hiring a team of writers that can output this amount of content daily is expensive. That is why AI offers a compelling solution to this problem.
With powerful technological advancements, AI can produce quality content for eCommerce use. It is probably the only reliable method where you can produce such a huge amount of content. It also doesn’t take a lot of time to get this done.
As this is just about products or services, not much specialization is required. Employing a team of people for this would be a waste of resources.
Email marketing has been around for a long time for more than two decades. It is probably one of the oldest marketing tools available right now. And it has seen very little development until the advent of AI.
Email marketing is fairly simple - you email your subscriber’s list about a topic. But today, AI has enabled dynamic email content. It means that the content of the email dynamically adjusts itself according to several factors.
The factors include customer behaviour, buying history, and cart abandonment status to mention a few. It ensures rich customization options that are completely automated. Also, it ensures increased conversion and engagement potential.
Categorizing images play a very important part of the eCommerce experience. It lets eCommerce companies assign specific categories and tags which might be relevant to their audience.
Using ML models for image classification, brands can improve their hit-rates with customers. Here, AI can help websites generate leads through better image recognition.
A good example of this is when you need to identify the influencers for marketing purposes. And AIs suits for this task as the image categorization requires a huge sample set of data. It can often be beyond the scope of human operators.
AI can work with basic parameters like colour, brightness, and other features. AI algorithms achieve a much higher rate of categorization in the same amount of time.
Pricing is another aspect of eCommerce that brands need to be accurate with. There are millions of transactions on eCommerce websites every day. It can be close to impossible to keep track of without some form of automation that can help.
AI can enable companies to track and analyze financial transactions under specific parameters. It gives brands a lot of flexibility when deciding on the pricing.
Another aspect is that artificial intelligence works in real-time. So, AI can adjust the prices on their website as soon as it detects the changes. It can reduce losses and improve the profitability of the company.
AI-powered price optimization can leverage the power of computing to offer higher turnovers. It also gives you the ability to automate pricing changes if specific conditions are toggled, making this a turnkey solution.
Haitna has a team of experts on both eCommerce SEO and Artificial Intelligence. Schedule a free call with the team to discuss the same to boost your eCommerce business using AI.
Naomi Wilson has been in the digital marketing industry for more than seven years. She has helped companies such as Kellogg, Best buy, Honeywell to improve their online presence. She is an expert in writing high-converting content, especially for ecommerce sites.
Social Media Marketing Tools for Ecommerce
Hiring a Marketing Firm for Ecommerce
Customer Retention Rate for Ecommerce
Reduce Shopping Cart Abandonment
Increase Customer Loyalty of an Ecommerce
Lead Generation Benefits for Ecommerce
Google Analytics for Ecommerce Tracking
Ecommerce Checkout Page Features
Grow Your Ecommerce Customer Base
Referral Marketing for Ecommerce
Inventory Management for Ecommerce
Ecommerce Marketing Tips for Holiday Shopping
Social Media Marketing Tips for Ecommerce
Product Photography Ideas for Your Ecommerce
Instagram Stories for Ecommerce
Ecommerce Sales Strategy for Black Friday
Ecommerce Repeat Purchase Rate Tips
Ecommerce Marketing for Food Business
Naomi Wilson has been in the digital marketing industry for more than seven years. She has helped companies such as Kellogg, Best buy, Honeywell to improve their online presence. She is an expert in writing high-converting content, especially for ecommerce sites.
Influencer Marketing for Ecommerce
Social Media Marketing Tools for Ecommerce
Hiring a Marketing Firm for Ecommerce
Customer Retention Rate for Ecommerce
Reduce Shopping Cart Abandonment
Increase Customer Loyalty of an Ecommerce
Lead Generation Benefits for Ecommerce
Google Analytics for Ecommerce Tracking
Ecommerce Checkout Page Features
Grow Your Ecommerce Customer Base
Referral Marketing for Ecommerce
Inventory Management for Ecommerce
Ecommerce Marketing Tips for Holiday Shopping
Social Media Marketing Tips for Ecommerce
Product Photography Ideas for Your Ecommerce
Instagram Stories for Ecommerce
Ecommerce Sales Strategy for Black Friday
Ecommerce Repeat Purchase Rate Tips
Ecommerce Marketing for Food Business