GrowMeOrganic is an all one lead generation and sales automation platform for growth hackers, founders, marketing executives and digital agencies. WIth GrowMeOrganic, you can extract emails of B2B businesses from LinkedIn, B2C businesses from Google Maps, send unlimited drip campaigns and a lot more.
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One of the best ever email extractor tool which made my work easy and efficient by finding the right contacts.
For the past 6 months I've been searching for an email marketing software and I finally found GrowMeOrganic. I'm blown away by the features I'm getting for the price. I'm excited to use the CRM and email marketing tools that GrowMeOrganic offers.
It has been a great experience to work with GrowMeOrganic. For a start up company like ours, having a tool that provides unlimited credits to extract email from LinkedIn has been a great help. Prior to GrowMeOrganic, we had to pay a lot for extracting email addresses. Here, we can extract unlimited email addresses for free! We will continue to use GrowMeOrganic for a long period.
Based on our record, Dataset Search seems to be more popular. It has been mentiond 52 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.
Google Dataset Search: Google's tool to help users find datasets stored across the web. Google Dataset Search. - Source: dev.to / 11 days ago
While looking I found out google has a separate search engine for datasets: https://datasetsearch.research.google.com/ That might be helpful if you want to keep looking. Source: 5 months ago
For more researchy bits : https://datasetsearch.research.google.com/ Kaggle is the go-to for sure. Https://www.makeovermonday.co.uk/data/ The Makeover Mondays have gone on for so long, it has a good bank of fun data sets too by now. Source: 10 months ago
Have you checked out Google's dataset search tool? https://datasetsearch.research.google.com/. Source: 12 months ago
In my current work, we deal with Banking and Finance. Then try searching for datasets (Google Datasets or Kaggle) and try doing Exploratory Data Analysis -- univariate, bivariate, and multivariate. From your EDA, you can see interesting insights right away. Then from what gleamed, you decide on whether you'll do. It could be (but not limited to):. Source: about 1 year ago
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