In this workflow, you'll need to have attended a LinkedIn event to extract a list of prospects from it. Once you've successfully pulled in a list of LinkedIn profiles from an event listed on LinkedIn, you'll be able to determine the following:
- Seniority based on their job title
- Company details
- Whether a prospect fits under your ICP and is compatible with what you are offering
This Clay recipe will allow you to find and scrape Crunchbase links for fundraising information using just the company domain as your input. Specifically, it performs the following actions:
- Runs a google search to find the Crunchbase link
- Confirms the link is correct
- Scrapes the link with Zenrows for fundraising information
In this workflow, you'll need to input your prospects' LinkedIn URL and company domain. This recipe performs the following actions:
- Find and normalize the phone numbers of all your prospects.
- Generate a company description
- Create personalized copy referencing their target customers and your business solution
This campaign pulls in an existing list from the client's Hubspot or Salesforce Account. This list can be imported either from a CSV or from the native import feature in Clay.
Low Hanging Fruit is a term commonly used in sales that refers to leads that are most likely to convert. In theory, it'd be much easier to book a meeting with somebody who is already familiar with a client's company and their offering. This is why the re-engage can work well.
It's also a strong campaign because there's most likely existing data points about each prospect/lead that we can utilize in the copy. We'd run this campaign for a client pretty early on in our engagement with them especially if they have an existing inbound work-flow. The copy will reference whatever activity led to the prospect to be on the HS / SFDC list, whether that be a form-fill, a demo/meeting request, a meeting held, etc. A brief 1-liner overview of the client's offering should also be worked into the campaign. Additionally, referencing recent news or a problem the prospect may be facing that the client solves should be worked into the copy using AI prompting.
This generated us roughly 30 positive replies over the course or 2.5 months and 15 of those replies were meeting requests.