Monday, September 14Digital Marketing Journals

Tag: Dive

A Deep Dive into Google and Yahoo’s Email Spam Filter Changes
ai bot, ai chat, ai chatbot, best chatbot, chatbot, chatbot ai, chatbot app, chatbot messenger, chatbot online, chatbot website, conversation with ai, creating chatbots, facebook bot, facebook chatbot, facebook messenger bot, google chat bots, Outbound Email Marketing, robot chat

A Deep Dive into Google and Yahoo’s Email Spam Filter Changes

Google and Yahoo recently announced significant changes to their spam filter algorithms, prompting a reevaluation of strategies for email marketers and sales teams engaged in both inbound and outbound marketing efforts. Here at Customers.ai, we see this as an opportunity for better email marketing campaigns. Because the reality is, when it comes to email, less is more. The more targeted you get, the better. The more intent signals you have, the better. The more customized your campaigns are, the better they will perform. If you are doing email the right way, these updates shouldn’t have a significant impact on your business.  We have a lot more to dig into here. To help our customers and email marketers as a whole better understand what these changes mean, we are going to exp...
How ChatGPT really works and will it change the field of IT and AI? — a deep dive | by Aleksander Obuchowski
ai, ai bot, ai chat, ai chatbot, artificial-intelligence, best chatbot, chatbot, chatbot ai, chatbot app, chatbot online, chatbot website, chatgpt, conversation with ai, creating chatbots, google chat bots, language-model, nlp, robot chat

How ChatGPT really works and will it change the field of IT and AI? — a deep dive | by Aleksander Obuchowski

Unless you have been living under a rock for the last few months, you have probably heard about a new model from OpenAI called ChatGTP. The model has demonstrated extraordinary abilities in generating both code and textual responses that are not only coherent but most often factually correct and in line with the current human knowledge.There are many articles describing the possible use cases of ChatGPT, however, they rarely go into the details about how the model works or discuss its border implications.The goal of this article is to demystify ChatGPT showing how it works and why is it that effective, describing what are language modes, why are they so popular and what is their problem. As everything is explained from scratch but extensively I hope you will find it interesting whether you...
Twitter Bot Investigation. I started to dive into the shit show… | by Daryan Hanshew | Jun, 2022
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Twitter Bot Investigation. I started to dive into the shit show… | by Daryan Hanshew | Jun, 2022

I started to dive into the shit show that involves Twitter misleading Texans on the number of bots on the website. If you want to read all the details here’s the report, however I am uncertain how successful this attempt will be after a read through Exhibit C depending on the details that can get released.Note: If you look at the URL of that document why is a PDF file placed under a images directory, thought that was funny.Here we goBackgroundTwitter reported that roughly less than 5% of users on the platform are fake accounts. The reason for this investigation came from Elon Musk’s top priority of removing spam bots. However, the real reason is due to advertiser uncertainty of spending for advertisements. Understandably bots don’t represent potential customers which leads to hesitancy of ...
Consumers & Online Reviews: A Demographic Deep Dive
googe optimize, google optimization, google seo, Reputation Management, research, search engine optimisation, search engine optimising, search engine optimization, SEO, seo services

Consumers & Online Reviews: A Demographic Deep Dive

Key Takeaways Women read online reviews more regularly than men. Men are most suspicious of reviews on Apple Maps and TripAdvisor. Women are most suspicious of reviews on Amazon and Google. Consumers aged under 44 years old are most likely to notice fake reviews. Younger consumers are the most likely age group to leave a negative review, whereas older consumers are the most likely to leave a positive review. High-earning consumers are less likely to leave positive online reviews than low-earning consumers. Each year, we publish our Local Consumer Review Survey to draw up an accurate picture of how consumers perceive businesses through online reviews. In this year’s iteration, we decided to ask a whole host of questions about fake reviews, particularly assessing how prevalent they are in ...