If headlines and hype are any indication, artificial intelligence could transform e-commerce marketing.
AI-based technology can anticipate consumer needs, target ads more accurately than humans can, personalize content for each user, chat with online shoppers, optimize product recommendations, and leverage customer data. You can now analyze for promotional insights and create marketing copy.
Excitement of AI
Technologies such as Jasper and OpenAI (shown here) have the potential to transform e-commerce marketing.
AI tools such as Jasper and OpenAI’s ChatGPT and DALL-E 2 have dominated recent conversations with four select groups of companies, ranging from e-commerce companies with $1 million in annual revenue to SaaS businesses with nearly $30 million in annual revenue. I was.
Admittedly, the sample size is small. But my conversations with their owners and managers followed a similar pattern.
First, I would like to ask you about your marketing plan for your business. The answer inevitably leads to how the company has been using his AI tools. Here’s what the marketer has to say about how great this tool is: Asking questions in the right way is very important. “
Form your mind on the right questions and consider three examples of how these people have used AI.
email marketing
Automated email marketing messages are critical to many e-commerce operations. An automated email sequence is triggered when a prospect signs up for a newsletter, abandons a cart, or performs another trackable event.
This series of messages may combine human-written promotional copy with dynamically inserted product information.
One of my sample marketers did a “welcome” sequence to a new subscriber.
Here is his process. He asked his Jasper to identify the reasons why consumers buy the company’s products and generate several variations of his email message based on those reasons. He then tested variations with customers to see which one generated the most sales.
Sure, a human could have written a variation. But as this marketer pointed out, it’s questionable due to time constraints and apathy. Assigning tasks to AI tools is much more efficient.
employee review
The second example has nothing to do with sales. A marketing manager used ChatGPT to complete an annual review.
This individual meticulously provided ChatGPT with information on how the company rated its employees. He also shared the HR team’s skill matrix for identifying candidates for promotion.
The manager then asked ChatGPT to create a question to identify suitable candidates. He created answers to these questions and instructed ChatGPT to rate himself based on his matrix of skills.
Finally, he sent the company’s self-assessment questionnaire to ChatGPT.
predict
Then there were marketers who asked ChatGPT to improve their campaign predictions. Marketers were responsible for estimating how multi-channel promotional campaigns (affiliates, pay-per-click advertising, email, onsite banners) would perform at different spend levels.
This individual asked ChatGPT to identify the best way to build a predictive model and create a Google Sheets formula for that model.
Operator AI
Reasons aside, these individuals spent a lot of time using AI tools. They were developing skills unlike search engine optimization, email marketing, or graphic design.
Companies seeking the efficiency of AI need similar expertise. Call them “AI Operators”.
Observers predict that the use of AI in e-commerce businesses will include chat for conversational selling and complex data analytics for personalization. Both were published in his 2020 paper “Emerging Roles of Artificial Intelligence in ecommerce” by his Vishal Dineshkumar Soni at the University of Campbellsville, Kentucky and published in the International Journal of Trends in Scientific Research and Development.
Ecommerce companies can hire data scientists and developers to create AI-driven marketing tools.But Use These tools probably require expertise as well.
Should companies hire engineers to optimize their AI? I asked ChatGPT that question. Here is the response:
To use AI to improve marketing, e-commerce companies may need to hire experts depending on the complexity of the AI tools they are using.
Implementing AI in e-commerce marketing can be done in-house by data scientists, software engineers, and marketing specialists who have experience working with AI tools. These team members are responsible for designing and implementing AI models and analyzing and interpreting results.
However, if your company uses more advanced or specialized AI tools, it may need to hire outside experts with specific knowledge and experience in the field. For example, if a company wants to use advanced image recognition AI, it may need to hire a computer vision expert.
Additionally, it is important to have a dedicated team that can manage, maintain, and monitor the performance of your AI system.
Overall, the need for specialists will depend on the complexity and scope of the AI tools used, as well as the company’s existing competencies in data science and AI expertise.
