The process of preparing an email address for general use or email outreach is commonly referred to as “Warming Up” an inbox, where you take a number of steps to ensure that an email address does not become deactivated, blacklisted, or automatically marked as spam when it begins to send outgoing messages to other recipients.
Warming Up an email inbox essentially is recreating the way a typical person will use an email address. Just by using your email address normally, you are ‘warming up’ your inbox by sending outgoing mail to other existing users. When you are reading your emails, starring/favoriting certain messages, and engaging in email threads with multiple other email addresses, you are building up your domain reputation in a way that shows that your account is being controlled by a real human being and is not being used to send out unsolicited emails that are trying to mislead/scam/defraud any other real people using their email inbox.
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Based on our record, monkeylearn should be more popular than Warmup Inbox. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
MonkeyLearn: A platform for text analysis and machine learning, allowing users to train custom models for tasks like sentiment analysis and topic classification. Source: 5 months ago
Monkeylearn.com — Text analysis with machine learning, free 300 queries/month. - Source: dev.to / over 1 year ago
MonkeyLearn supports 11 languages for data analysis (Spanish, Portuguese, German, Russian, Italian, French, Dutch, Chinese, Japanese, Korean and Arabic). But for sentiment analysis, only Spanish seems to be available, I’m not sure about that. Source: over 1 year ago
R3: Used RedditExtractoR in R to download all-time top posts, and ran the resulting .csv through https://monkeylearn.com/. Downloaded the resulting table and deleted top result "OC" - then visualized it with ggplot to give a sense of absolute numbers. Total posts considered in this are 988, the word cloud only looks at the 98 most mentioned words/phrases. Let me know if you have got any questions/concerns! Source: almost 2 years ago
Go to monkeylearn.com and sign up for a free demo. Then cut and paste your blog text into the extractor/classifier. Source: almost 2 years ago
I went to mail-tester.com to check the spamminess of my email and it comes back as a 4.4/10 and says that I should consider myself lucky if my emails go to primary inbox. Is there any way to solve this? Does a tool like warmupinbox.com solve a lot of these problems? Source: over 1 year ago
I'm also using warmupinbox.com with the same email address and see no problems. Source: over 1 year ago
Join this warmup tool it is 9 buscks a month and will improve your domain at least for other providers, I dont think it will help with outlook tho. https://warmupinbox.com im one week sending and receiving about 50 emails a day. Source: about 2 years ago
You can also use a warm up service like https://warmupinbox.com/ for 9 bucks a month will improve your domain reputation. Source: over 2 years ago
Amazon Comprehend - Discover insights and relationships in text
MailReach.co - The #1 email warming service to improve your deliverability by generating realistic and meaningful engagement to your emails. Easy-to-use solution to help you land in the main inbox instead of the spam folder.
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Warmbox.ai - Warm up your cold email inbox, and never land in spam anymore!
Google Cloud Natural Language API - Natural language API using Google machine learning
Mailwarm - The email warm-up tool.