A powerful deliverability solution that results from 5 years of emailing for 130 companies in 40 industries.
MailReach uses your email address to automatically start conversations with thousands of email inboxes.
The email conversations are human, natural and meaningful to build trust. No gibberish content that can be easily flagged.
Your emails get opened, replied, marked as important and removed from spam and categories.
All this positive email engagement raises your email reputation and your deliverability. It teaches the email providers to send your emails to the inbox.
Depending how your deliverability evolves, MailReach constantly adapts to maintain it and balance your activity.
You have access to a complete and easy to understand dashboard to see your results.
You can see your deliverability score, where your warm up emails land, how many of were removed from spam, on which provider, etc.
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Mailreach support is great. Response time and especially reaction time was super fast. Regarding warming up inboxes the tool is doing what's advertised along with teaching users how to improve deliverability at the same time.
Was landing in spam for all Google professional & Personal accounts 100% of the time. Now I'm landing in the inbox 100% of the time and have my email configured perfectly. These guys are experts, highly recommend.
Our entire experience with MailReah is positive.
Based on our record, FuzzyWuzzy seems to be a lot more popular than MailReach.co. While we know about 11 links to FuzzyWuzzy, we've tracked only 1 mention of MailReach.co. 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.
Do fuzzy matching (something like fuzzywuzzy maybe) to see if the the words line up (allowing for wrong words). You'll need to work out how to use scoring to work out how well aligned the two lists are. Source: over 1 year ago
Convert the original lines to full furigana and do a fuzzy match. (For reference, the original line is 貴方がこれまでに得てきた力、存分に発揮してくださいね。) You can do a regional search using the initial scene data (E60) first, and if the confidence is low, go for a slower full search. Source: over 1 year ago
It's now known as "thefuzz", see https://github.com/seatgeek/fuzzywuzzy. Source: about 2 years ago
You can have a look at this library to use fuzzy search instead of looking for plaintext muck: https://github.com/seatgeek/fuzzywuzzy. Source: over 2 years ago
To deal with comparing the string, I found FuzzyWuzzy ratio function that is returning a score of how much the strings are similar from 0-100. Source: almost 3 years ago
The email addresses shown in the screenshot are public information. They're used by mailreach.co's public service. I assume that is what you are referring to. Source: over 1 year ago
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