I have been working on a product which uses AI in the backend to improve email and growth marketing.
Our product flow starts with an email validator - The user can load the list of email IDs or, through our integration of famous CRM such as Salesforce or Hubspot. Our flow first will filter out all the invalid mail ids - We're using an ML model and a basic logical approach in the backend.
Once this is done, we allow them to store valid contact data in our product. Once that is done, they can do email marketing from our product. As of now, we're working on the email marketing part.
The plan is to give them multiple templates for them to choose from. By using AI, we are planning to create unlimited templates for them. The messages can be personalised for each contact based on their details and current status.
Email id validator flow is completed, and we're actively working on the email marketing flow.
Our product flow starts with an email validator - The user can load the list of email IDs or, through our integration of famous CRM such as Salesforce or Hubspot. Our flow first will filter out all the invalid mail ids - We're using an ML model and a basic logical approach in the backend.
Once this is done, we allow them to store valid contact data in our product. Once that is done, they can do email marketing from our product. As of now, we're working on the email marketing part.
The plan is to give them multiple templates for them to choose from. By using AI, we are planning to create unlimited templates for them. The messages can be personalised for each contact based on their details and current status.
Email id validator flow is completed, and we're actively working on the email marketing flow.