In this study, we propose a method for identifying potential customers in targeted marketing by applying learning from positive and unlabeled data (PU learning). We consider a scenario in which a company sells a product and can observe only the customers who purchased it. Decision-makers seek to market products effectively based on whether people have loyalty to the company. Individuals with loyalty are those who are likely to remain interested in the company even without additional advertising. Consequently, those loyal customers would likely purchase from the company if they are interested in the product. In contrast, people with lower loyalty may overlook the product or buy similar products from other companies unless they receive marketing attention. Therefore, by focusing marketing efforts on individuals who are interested in the product but do not have strong loyalty, we can achieve more efficient marketing. To achieve this goal, we consider how to learn, from limited data, a classifier that identifies potential customers who (i) have interest in the product and (ii) do not have loyalty to the company. Although our algorithm comprises a single-stage optimization, its objective function implicitly contains two losses derived from standard PU learning settings. For this reason, we refer to our approach as double PU learning. We verify the validity of the proposed algorithm through numerical experiments, confirming that it functions appropriately for the problem at hand.

The online advertising management platform has become increasingly popular among e-commerce vendors/advertisers, offering a streamlined approach to reach target customers. Despite its advantages, configuring advertising strategies correctly remains a challenge for online vendors, particularly those with limited resources. Ineffective strategies often result in a surge of unproductive ``just looking'' clicks, leading to disproportionately high advertising expenses comparing to the growth of sales. In this paper, we present a novel profit-maximing strategy for targeting options of online advertising. The proposed model aims to find the optimal set of features to maximize the probability of converting targeted audiences into actual buyers. We address the optimization challenge by reformulating it as a multiple-choice knapsack problem (MCKP). We conduct an empirical study featuring real-world data from Tmall to show that our proposed method can effectively optimize the advertising strategy with budgetary constraints.

Intro: AI-powered chatbots are becoming a common virtual assistant tool used by businesses in a variety of Industries. Chatbot use cases can be found across all industries and business functions including customer service, sales, marketing, and even internal process automation. The most common, however, is the use of an online customer service chatbot. Artificial Intelligence has profoundly influenced and altered business-to-customer communication. From streamlining the business process to improving customer engagement and increasing productivity, the conversational chatbot applications will demonstrate how to hold AI-enabled bots useful for business.

One of the key benefits of machine-generated writing is its ability to quickly generate large amounts of content. This can be especially useful for businesses and organizations that regularly produce a large volume of content to maintain a solid online presence and attract potential customers. Using AI writing, these businesses and organizations can save time and resources that would otherwise be spent manually creating content. Another major advantage of AI writing is its ability to produce content that is optimized for search engines. Because AI writing algorithms are designed to understand and mimic human language, they can produce content that is easy for search engines to understand and rank highly in search results. This can help businesses and organizations improve their search engine rankings and drive more website traffic.

ChatGPT is an advanced chatbot created by OpenAI, a company that created GPT-3. Users can ask ChatGPT open-ended questions about any topic and receive responses generated specifically for the question. I've already discussed what this tool is capable of, but in this article, I want to explore how product creators can make the most of this tool. I will use ChatGPT to create assets for the new website (a landing page for a robot vacuum cleaner) -- eight practical tasks in total, along with my impression of how well ChatGPT can deal with them. A product brief outlines key product information that a product team uses to build a new product/feature.

The use of artificial intelligence is fast spreading in the digital marketing industry including social media where Instagram belongs. Businesses are looking for ways to automate tasks, boost productivity, generate more leads, and make more sales. According to a report, the market of AI in social media is expected to hit $2.2 billion in 2023. This is to tell you that social media marketers are investing in AI to make smart decisions and achieve higher ROI. Are you skeptical about leveraging AI in Instagram marketing?

If you thought that Artificial Intelligence was only used for playing chess or analyzing data, think again. AI is quickly becoming a staple in sales teams across the globe as companies attempt to increase efficiency and close more deals. This blog post will explore a few ways companies use AI for more efficient sales. From lead generation to customer segmentation, AI is changing the sales landscape as we know it. So if you're curious about how AI can help your sales team, read on! Sales intelligence is the term given to the data and information gathered about potential customers during the sales process.

Google reviews are one of the most important factors in local SEO. In fact, according to Moz, "Google My Business signals (including reviews) are some of the most influential and ranking factors in Google's local search algorithm." Local businesses with positive reviews and ratings tend to rank higher than those without them. And not only that, but customers are more likely to trust and choose a business with good reviews over one with no reviews at all. If you're a local business, it's important to make sure you have plenty of positive Google reviews. But how do you get them? You can't just ask your customers to leave a review (although you can certainly encourage them).

What Are The Digital Marketing Trends You Should Continue? Take your digital marketing efforts today to the next day to get known more in the future. Here are the digital marketing trends you should keep doing. For the last few decades, the world has gone through many changes, and the most significant one is the internet. When the internet became accessible and available to the general public, it removed all communication barriers as more people gained internet access.

There are many steps involved in creating content for your blog post or website – planning out the topic you want to cover, doing research on related topics so that you have sources lined up in advance, and structuring your article so that it flows from point to point. While all these tasks might seem complicated, find out in this article how AI-powered software can actually make them much easier on you! Artificial intelligence (AI) can be extremely helpful to digital marketing. AI can help marketers target their ads more accurately and create better content. It can also help to create better customer experiences. For example, AI can help marketers identify which customers are most likely to buy a product.