How to promote your ecommerce in the age of AI?

Tecnoacquisti.com
Marketing per ecommerce

Before we delve into the areas in which artificial intelligence will be increasingly instrumental in promoting and managing an ecommerce, as well as any business or service activity, let's look in detail at how an ecommerce business is promoted today.

Promoting an e-commerce site may require a combination of different marketing strategies. Here are some techniques you might consider:

Search engine optimization (SEO): Ensuring that your site is optimized for search engines can help you rank higher in search results, thereby increasing visibility and attracting more traffic to your site.
Social media marketing: You can use platforms such as Facebook, Instagram, Twitter and Pinterest to promote your products. Using sponsored posts or ads can help you reach a wider audience.
Email marketing: Email marketing is a great way to keep your current customers informed about new products, special offers and other news related to your business. You can also use email marketing to incentivize customers to return to your site and complete a purchase.
Customer loyalty programs: These programs can incentivize customers to continue shopping from your site by offering discounts, loyalty points or other rewards.
Partnerships and collaborations: Partnering with other companies or influencers can help you reach new audiences and increase your visibility.
Blog content: Creating relevant and useful blog content can help you attract traffic to your site, establish you as an expert in your field, and improve your search engine rankings.
Pay-per-click (PPC ) advertising: This type of advertising, which includes ads on Google and other platforms, can help you reach a wider audience. You pay every time someone clicks on your ad, which means you can get an immediate return on your investment.
Conversion rate optimization (CRO): This refers to the process of improving your website to increase the percentage of visitors who complete a desired action, such as making a purchase.
Retargeting/remarketing: This is an online advertising technique that allows you to show ads to people who have already visited your site or interacted with your brand in some way.

Remember, every business is unique, so it's important to test different strategies and find out what works best for your specific e-commerce.

2023 will be the year of Artificial Intelligence

We are on the eve of an epochal technological revolution, artificial intelligences such as the well-known ChatGPT that we have discussed here, will also be increasingly important for promoting one's products and services online. Let's see in detail where AIs will be able to help us with our ecommerce.

Using AI in Social Campaigns

The use of artificial intelligence (AI) to create advertising content on social media is becoming increasingly common. These are some of the ways it can be used:

Content generation: AI tools can generate text for social media posts, ads, emails and other types of content. These can include promotions, product information, customer success stories, and more. For example, services such as OpenAI's GPT-3 can be trained to create texts tailored to specific audiences.
Ad optimization: AI tools can test different variations of an ad to determine which performs best. They can vary the text, images, time of day the ad is shown, and other factors to optimize the ad.
Trend research and analysis: AI tools can analyze social media data to identify emerging trends, giving companies the ability to create relevant and timely content.
Audience segmentation: AI can help identify and segment audiences based on various factors, such as age, geographic location, interests, etc. This can help create more targeted and relevant ads.
Image and video creation: Some AI tools can create or edit images and videos for social media advertising. For example, they can create promotional videos or modify images to fit specific social media platforms.
Automating post scheduling: AI tools can schedule social media posts to be published at times when audiences are most active, increasing the likelihood that posts will be seen.

AI thus offers numerous opportunities to automate and optimize the creation of advertising content for social media.

Using AI for SEO Optimization

Artificial intelligence (AI) can be extremely useful in optimizing your website's SEO. Here are some common applications:

Content analysis: AI tools can analyze your site's content to identify keywords, phrases and topics that can be optimized to improve SEO. In addition, they can suggest new content to create based on what is currently popular or trending in your industry.
Content optimization: Some AI tools can help you optimize your content based on SEO best practices. This can include editing text, adding meta tags, optimizing images, and more.
Backlink analysis: AI tools can analyze your site's backlinks to identify high-quality and potentially harmful ones. They can also suggest new sites from which to search for backlinks.
User behavior analysis: AI tools can track how users interact with your site, including the paths they take, how long they spend on different pages, and more. This can provide you with valuable information on how to improve user experience and SEO.
Keyword research: AI tools can help you find relevant, less competitive keywords for your content. They can also predict future keyword trends based on historical and current data.
Personalization: AI can help you personalize the visitor experience based on their past behavior, demographics, etc. This can lead to increased engagement, which is good for SEO.
Creatingdescriptions of our products: AIs will be very useful to us in creating effective descriptions of our products to both facilitate the buying process and improve SERP ranking.

I believe that AIs will also be instrumental in the need to create large amounts of diverse and unique content, starting with an original text for example a product description, we could create multiple versions of it both to differentiate it from the supplier's description and to promote it on other websites without the search engines seeing it as duplicate content.

AIs will also be instrumental on the other side of the fence, i.e., as a support to search engines in providing the most relevant content requested by users and in filtering content created using Black Seo techniques .

So in the age of AIs, SEO will be increasingly focused on quality content.

Other benefits of AI for ecommerce

Artificial intelligence (AI) can bring many benefits to e-commerce, here are some potentials:

Personalization: AI can analyze large amounts of data about customer behavior to create personalized shopping experiences. It can show relevant products based on past searches, suggest similar products, or even anticipate what a customer might want based on their shopping behavior.
Chatbots and customer service: AI-powered chatbots can provide 24/7 customer support, quickly answering frequently asked questions, helping with orders, or directing customers to appropriate resources.
Predictive analytics: AI can use historical data to predict future trends, such as demand for specific products, enabling optimization of inventory and marketing strategies.
Marketing automation: AI can automate a range of marketing activities, such as sending personalized emails, segmenting customers, or optimizing ads.
Data collection and analysis: AI can collect and analyze huge amounts of data to provide detailed insights into customer behavior, marketing campaign performance, and other important aspects of business.
Visual and Voice Search: AI is powering new ways for customers to search and discover products, such as voice search via virtual assistants like Alexa or Google Assistant, or visual search that allows customers to upload an image and find similar products.
Retargeting/Remarketing: AI can help identify customers who have shown interest in a product but have not completed a purchase, and can then show them specific ads to encourage return and conversion.
Sentiment analysis: AI can analyze customer reviews, social media posts, and other feedback to understand customer sentiment, identify areas for improvement, and address customer concerns.

Artificial intelligence can then provide powerful tools to promote an ecommerce and advertising business, improving efficiency, personalizing the customer experience, and providing valuable business insights.

Translating the catalog into multiple languages with AIs

Already Google Translator and DeepL can translate large amounts of content, and soon they will do it much better than humans, leaving only the nuances of language and cultural to humans. In recent years, Artificial Intelligence (AI) has greatly improved machine translation. Some of the most significant advances are listed below:

Neural Machine Translation (NMT): NMT is an approach to machine translation that uses deep neural networks to improve the quality of translation. Unlike previous methods that translated sentence by sentence, NMT considers the entire context of the text to produce more accurate and natural translations.
Deep learning and machine learning: Deep learning and machine learning models have enabled machines to 'learn' from huge amounts of bilingual text data, thus improving the accuracy of machine translations.
Real-time translation: AI technology has made real-time translation possible. For example, Google Translate now offers real-time translation of spoken conversations between different languages. This is especially useful in contexts such as international travel and multilingual conferences.
Multilingual translation: AI-based machine translation models, such as Google's Transformer, can now translate between multiple languages, not just between language pairs. This means they can 'learn' from translation data involving many different languages, improving translation accuracy.
Context and translation: AI is increasingly able to understand the context in which a word or phrase is used, which can help improve the accuracy of translations. For example, it can distinguish between the use of a word in a scientific context versus an everyday conversational context.
Post-editing refinement: Some AI-based translation tools now offer post-editing, where human users can review and correct machine translations. This feedback can then be used to further train the AI and improve the quality of future translations.

Remember, however, that despite these advances, machine translation is still not perfect and can still make mistakes, particularly with linguistic nuances, humor, metaphors, and culturally specific expressions. Therefore, for official documents or important communications, it is often advisable to rely on a professional human translator.

However, today, machine translation is already more than sufficient for the translation of an ecommerce catalog, especially when we have hundreds of thousands of products and the costs of a human translation by a professional would be prohibitive, and especially the time that could exceed the catalog life of the product itself, especially in the fashion and hi-tech sectors.

Author: Loris Modena

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