Owlead works based on campaigns.
What is a campaign?
Simple, the platform uses a filter criterion to find your target audience and start following and unfollowing on your behalf.
Available Filters to Create a Campaign.
The followers of this account should be from your target audience. Ideally, in this field, you should use the Twitter account of a competitor, leader of your industry, or influencer.
Important: don't enter an account that is blocking your Twitter account.
Keywords in Bio
This is what we call a keyword-sensitive filter and will take the words you put and compare it with the words in the bio of the followers from the search account.
Try to use the most common keywords that people use to describe who they are.
If you want to look for C-level executives Twitter users, use;
CEO, Chief Executive Officer, COO, CTO, and so on.
This filter works as an AND filter. All the keywords entered don't have to be necessary present. Only one keyword in the bio will make that account eligible to be followed if it meets the rest of the filter criteria.
If you will use this filter, try to use as many keywords as possible (max. of 10). So, Owlead can find enough accounts with those specific keywords in the bio.
This filter matches the language you specified against the language of the last tweet of the accounts.
This filter is also a keyword-sensitive filter that looks for the keywords you’ve specified into the localization field of Twitter users.
Bear in mind that people use this field in different (and rare) ways.
If you want to search for followers from Miami, use;
Miami, MIA, Florida, and so on.
This is one of the most «tricky» filters since it will require your effort and creativity trying to include an entire list of acronyms that users use to describe where they are.
This filter works as an AND filter. All the keywords entered don't have to be necessary present. Only one keyword in the location will make that account eligible to be followed if it meets the rest of the filter criteria.
This filter is working with an internal algorithm that categorizes the accounts based on women, men, and others (brands, products, etc.). It has 90% reliability and we are constantly improving it.