Funding
Funding not disclosed
Founders
Product
Problem
Businesses seeking to acquire new customers often face challenges with traditional advertising, which can be inefficient and difficult to measure in terms of direct ROI. This leads to wasted marketing spend on unqualified leads and a lack of clarity on campaign performance.
Solution
Defiscalify operates a performance-based lead generation platform that leverages machine learning to create targeted advertising campaigns. The system identifies potential customers based on existing client data and drives inbound phone calls directly to businesses. Clients are billed on a pay-per-call basis, ensuring they only incur costs for validated leads that represent genuine customer interest. This model optimizes marketing expenditure by focusing on measurable outcomes and efficient customer acquisition.
Target Audience
The primary target audience includes businesses across various sectors, such as legal services, medical practices, and insurance agencies, that aim to increase their customer base through performance-driven marketing.
Features
- Machine learning-driven ad targeting to identify and engage prospective customers.
- Pay-per-call model where clients are charged only for qualified inbound calls.
- Call validation process to filter out repeat callers, wrong numbers, and solicitations.
- Flexible campaign management allowing clients to set budgets and pause campaigns.
- Optional call center services to manage inbound calls and provide call summaries via email.
- Performance reporting to track lead generation metrics and campaign effectiveness.
- Industry-specific lead generation strategies for sectors including legal, medical, and insurance.