SalesSift helps you to find the best companies to sell to.
Our platform uses machine learning and harnesses the enormous volume of data available across the web to bring laser focus to your lead generation process.
Find similar businesses by entering the web address of an existing customer.
Or create your own custom queries to find companies based upon industry, revenue, location, age, or even products they import or export.
Alternatively, make use of our accounting search engine to find organisations with certain key terms in their reported accounts.Sign Up For Free
Find businesses based upon various different attributes, including similarity to existing clients, turnover, products they import/export and countless other parameters.
Our purpose is to make sales as targeted and focussed as possible.
SalesSift returns leads based upon relevancy to sales; not on where they rank in Google. Our primary data source is company websites from across the web, meaning we unearth businesses you won't find on Google or in human-curated lists.
Unlike purchased B2B lists that have been sold to countless others, each SalesSift user will use the platform in their own unique way; and will therefore discover unique businesses.
We don't require any setup.
Find businesses with strong FX needs, for example, companies with frequent imports and exports. Find out more
The SalesSift lead generation platform is ideal for finding targeted potential clients.
Integrate with our API to use our recommendation engine and data in your own application.
Find companies in a specific industry niche.
Lead-sourcing is almost universally applicable across all industries and if you have a question about how best to use SalesSift in your sector, please do get in touch.
Under the hood, SalesSift uses machine learning and web crawling techniques to understand and profile millions of companies on a regular basis.
We extract publicly available information about companies, which then powers our search functionality.
Have questions? Please do get in touch at email@example.com.