When you sign up for a Soleadify account, you get access to an export of 100 leads as part of your trial, so you can see for yourself.

If you're interested in where is the data coming from, please check out this article.

Below is a list of all the columns typically included in an export:

Website - the domain where we found and extracted the data from
Locations - all locations found on the website. We use machine learning to detect & extract addresses mentioned on the website.
Business Category - what the business does. We detect this by scanning the text found on the website, with machine learning. You can use this to customize your outreach based on what kind of business you're speaking to.
Industry - business are grouped into industries, to make filtering easier, when you customize your outreach.
Emails - all the email addresses found on the business' website
Phone Numbers - all the email addresses found on the business' website
Facebook Page - the Facebook URL found on the business' website
LinkedIn Page - the LinkedIn URL found on the business' website
Instagram - the Instagram URL found on the business' website
Twitter - the Twitter URL found on the business' website
Google Maps - the Google Maps URL found on the business' website
iOS App - any iOS App links found on the business' website
Google Play App - any Android App links found on the business' website
Other External Links on Website - other links found on the business' website. You can use this to filter out, for example, businesses that link to their Yelp page. Or find certain techs used by the business, based on the external links.
CMS - the Content Management System (e.g. Shopify) used to build the website
Programming Language - the programming language (e.g. PHP) used to build the website
Audit Page - for each website we run an audit, that you can use as a lead magnet. We include it in the export so you can easily use it in your emails. Find out more about the audit here.
Technical Issues - when running the audit, we scan for several technical issues. They are included in the export, on this column, so you can filter & customize your outreach based on the tech issues found. Find out more about the audit here.
Social Media Issues - when running the audit, we scan for several social media issues - for example if a restaurant doesn't have an Instagram page. These issues are included in the export, on this column, so you can filter & customize your outreach based on the issues found. Find out more about the audit here.
Common Technologies Not Used - here you will find the common technologies not found on that website - e.g. Analytics pixels
SEO Issues - The SEO problems found when running the audit. You can find out more about the audit here.
SEO score - We provide an SEO score from 1 to 100, that you can use to customize your outreach.
All Attributes - all issues (for example, the issues) on the same column, to make the filtering easier
Website Last Updated at - when we last detected a change in the website's content. Can be used to detect if a website is abandoned, or updated on a regular basis.
Alexa Rank - please note that the Alexa Rank has a value from 1 to 1M, so if this field is empty it means that it's not in the top 1M websites worldwide. Learn more about the Alexa Rank here.
Number of pages - the number of pages we found when accessing the website. This can be a good indicator, for example in the case of e-commerce stores, to indicate the number of products.
Language - the language found on the website when we accessed it. Please note that some websites have several versions (e.g. English and French), but when we access it, depending on the IP, they only show us one of the versions.
Timezone - this is based on the address we found most often on the website. You can use this information to customize the schedule of your outreach campaigns.
GMT Offset - same as above (Timezone), but in a different format. Different outreach tools require different formats.
Screenshot - we take a screenshot of the website, which you can use to personalize your outreach. Check out this article from lemlist, which shows some good examples of how screenshots can be used to boost reply rates.

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