So what is a Ping Post anyway?
Ping posts are a real time lead distribution method where basic lead details are sent to potential buyers, who then decide whether to bid before receiving the full lead information.
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A ping post is a real time lead distribution method where lead sellers send basic lead details (the "ping") to potential buyers, who then evaluate the lead based on predefined criteria. If a buyer decides to bid on the lead, they receive the full details (the "post") and complete the purchase. This system allows for fast, competitive bidding, commonly used in industries like home services, financial services, and insurance.
While this method offers efficiency, it also introduces challenges. Many businesses end up paying for leads that don’t convert, leading to wasted budget and ineffective outreach efforts. The ability to filter and score leads before purchasing them is crucial to maintaining a high return on investment (ROI) and optimizing marketing spend.
How we use Ping Posts at Faraday
The challenge with ping-post lead buying is that companies often spend money on leads that don’t convert. At Faraday, we integrate with ActiveProspect’s LeadConduit to enhance this process with predictive scoring. By applying machine learning at the ping stage, brands can bid only on high-converting prospects, filtering out low-quality leads in real time. This optimization reduces wasted spend and improves overall campaign efficiency.
Predictive scoring works by analyzing historical data, behavioral signals, and demographic attributes to assess a lead’s likelihood of converting. Thanks to the built-in Faraday Identity Graph (which comes preloaded with 1500+ attributes on nearly every US consumer and their households), our models score each lead against rich third-party data before a bid is placed instead of relying on limited seller-provided information. This creates the opportunity for businesses to make data-driven decisions in real time, ensuring they focus only on high-quality opportunities.
For example, an insurance provider purchasing thousands of leads daily might bid on any lead that meets basic criteria, but many of those leads never convert—driving up acquisition costs. If each lead costs 50. But not all leads are equal. By rejecting the bottom 40%—the least likely to convert—they could improve their conversion rate significantly, lowering their CAC to just $30.
In this scenario, instead of wasting budget on low-quality leads, they could acquire more customers for the same spend. With predictive lead scoring, they could make these decisions in real time, ensuring they only invest in leads with real potential.
Even without TCPA 1:1 consent rule, better targeting still matters
While the expected TCPA 1:1 consent rule did not go into effect earlier this year, that doesn’t mean businesses can ignore lead quality or continue to enact spray and pray targeting in 2025. Just because you’re not being forced to change doesn’t mean you shouldn’t. Rising acquisition costs and increasing competition make it critical to invest in leads that are both high-quality and likely to convert. Faraday’s real-time predictive scoring ensures that brands maximize their ROI while staying ahead of the curve. By leveraging AI-driven insights, lead buyers can refine their targeting strategies and remain competitive in an evolving marketplace.
Additionally, compliance concerns aren’t going away. Even without the immediate pressure of TCPA amendments, consumer privacy laws and regulations continue to evolve, and businesses that proactively refine their lead acquisition strategies will be better prepared for future changes. More rigorous lead assessment doesn’t just improve efficiency—it also reduces the risk of compliance issues and enhances the overall customer experience by ensuring outreach efforts are more relevant and targeted.
Looking ahead
The lead generation landscape will continue to evolve, and companies that prioritize precision over volume will have the advantage. Rather than buying as many leads as possible and hoping some might convert, businesses need to shift toward smarter, data-driven strategies that optimize every dollar spent.
Faraday’s predictive lead scoring is a powerful tool for staying ahead, allowing businesses to purchase leads with confidence and efficiency. Whether regulatory shifts happen or not, the need for better targeting and smarter decision-making isn’t going away.
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