Cut down your time spent on prospecting by 75% by automating the tedious aspects of the job.
In just 2 clicks, capture email addresses on professional social networks, company websites or from anywhere on the internet based on the first name, last name and company name of your prospect.
Send highly personalized email campaigns at scale thanks to our cold emailing tool. Send up to 400 emails per day per sending address with multiple personalization variables.
Track the result of each campaign step and compare your campaigns to the rest of your industry and keep track of your team's performance through our reporting and analytics tool.
Integrate your Prospect.io account with hundreds of other services through our native CRM integrations (Salesforce, Pipedrive, Close.io and Hubspot CRM) or through Zapier and PieSync.
I used Prospect.io for more than 1 year now and it really helps me increase my productivity.
Amazon Machine Learning might be a bit more popular than Prospect.io. We know about 2 links to it since March 2021 and only 2 links to Prospect.io. 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.
There are also tools you can pay for to do this as well. I used to use prospect.io which is now overloop. They can be super useful and even get a full list of emails for an entire domain. Source: almost 2 years ago
More than five years ago, trying to contact potential clients via their email addresses was the option that assisted businesses in growing. However, sending partnership presentations using emails has become obsolete. Successful startups use Prospect.io, i.e. a sales automation app. The tool supports your sales team to keep in touch with potential and current customers via generating emails for them. The solution... - Source: dev.to / about 3 years ago
There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago
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Apple Machine Learning Journal - A blog written by Apple engineers