5500 Leads is a lead prospecting app that empowers you to quickly and easily find companies that have the potential to be your perfect clients. We take the 'cold' out of cold calling by providing you with the market intelligence you need, our database has over 3.2 million Form 5500 filings and is updated monthly.
With '5500 Leads' you are able to filter out all of the business that are not a great fit and just focus on the ones that are. With over 50+ search fields to choose from, you can find all those businesses that truly need, want and already buy the products and services you are selling.
Landing a large company deal is an awesome feeling but your bread and butter, those small company deals, help pay the bills. Finding more of those types of companies, can really add to your bottom line.
There are 2 types of Form 5500 filings -- welfare benefits (company with 120+ employees) and retirement filings (any size company). One of the best ways to identify and target smaller company leads, under 100 employees, is to be able to search for companies that have filed the 'Retirement' Form 5500. It tends to reason, if a company is offering their employees a retirement plan, like a 401(k), the chances are very good that they are also offering group benefits like health, life or dental to those same folks.
Since we combine both small and large companies (and both kind of filings) into 1 search engine, we make it simple for you to find the leads you really want. When you use '5500 Leads' powerful search engine, it is easy to find and target ANY size company. We do not limit you to just search companies with 100 employees or more or just search companies with less than 100 employees (like some competitor) … that just does not make sense to us.
At '5500 Leads' we combine all the Form 5500 filings into 1 searchable database. We do not make you buy 2 different subscriptions. By combining all the data into one easy to use solution, we deliver both large employer health plan leads AND retirement/401(k) leads together … stop paying twice for the same data.