Our client is a SaaS company that protects organizations against phishing, business email compromise (BEC) scams and other advanced email threats using predictive AI informed by global intelligence from around 2 trillion emails annually.
They approached us because they needed help identifying when their prospects needed their services and were ready to buy.
They had tried feeding their sales team with purchased lead lists uploaded into Salesforce, but had little success.
Furthermore, the process required a lot of manual data entry, manipulation, and analysis which was error prone and slow.
Our client needed a process that would allow them to scale their business with Salesforce automation.
Our client knew that certain changes to Domain Name System (NDS) records would indicate that a prospect was having issues with security, so our task became monitoring DNS activity for companies they identified as targets and automatically updating Salesforce with these hot leads.
Our solution was to build an application we call ADM to monitor the DNS records of domains that match our client's Ideal Client Profile.
One example would be to find users who were adopting Microsoft 365 for cloud email.
Data on this type of domain activity is not publicly available for purchase on the market, so building a product that would find that information gave our client a leg up against their competition.
Our solution had a number of key functions:
Our solution is currently monitoring 684,000+ domains every 24 hours and generating a report that serves up quality leads to the client’s sales team.
