Lead Delivery Management System for Predictable Cost-Per-Lead
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Solution Overview
Problem
Small business owners face challenges in managing pay-per-click internet marketing campaigns, particularly in achieving predictable lead volume and cost transparency, as existing models do not effectively provide visibility into call or lead volume and effective cost-per-lead, leading to inefficient budget allocation and bidding processes.
Innovation Solution
A method and system that allows businesses to receive leads such as phone calls or emails at a prescribed cost-per-lead, based on a budget, by creating an internet-based advertisement campaign with a budget parameter, campaign duration, and advertisement content, monitoring leads, and adjusting bids to ensure consistent lead delivery and cost effectiveness in multi-item auctions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If businesses use traditional pay-per-click advertising models, then they can drive traffic to websites, but they cannot achieve predictable lead volume or transparent cost-per-lead
Solution Approach 1:
The patent introduces a lead delivery management system that acts as an intermediary between advertisers and search engines. This system aggregates lead data across multiple campaigns and channels, providing centralized visibility into lead volume, cost-per-lead, and conversion metrics. The intermediary layer translates complex PPC data into simplified, actionable insights for businesses.
Solution Approach 2:
The system implements continuous feedback loops by tracking lead delivery performance in real-time and using this data to automatically adjust bidding strategies and budget allocation. This feedback mechanism enables businesses to achieve predictable lead volumes by dynamically optimizing campaigns based on actual performance data rather than relying on estimates.
2Productivity
If businesses hire marketing consulting firms to manage bidding processes, then they can achieve click-through realization goals, but they incur additional costs and lose control over their own data
Solution Approach 1:
The patent enables businesses to self-manage their PPC campaigns through an automated lead delivery management system. The system allows business owners to directly input their lead targets, budget constraints, and performance goals, then automatically optimizes bidding strategies without requiring external consulting firms. This self-service approach maintains full data control while achieving professional-level campaign management.
3Quantity of substance
If businesses increase PPC spending to generate more leads, then they can receive more traffic, but they may overspend and not achieve positive return on advertiser spend
Solution Approach 1:
The system dynamically adjusts bidding strategies and budget allocation based on real-time performance data and lead delivery goals. Rather than static spending plans, the system continuously optimizes spend across different campaigns, keywords, and time periods to maximize lead volume within budget constraints, preventing both overspending and underspending.
Solution Approach 2:
The patent changes the fundamental parameter from cost-per-click to cost-per-lead, fundamentally altering how PPC campaigns are managed and measured. This parameter change enables businesses to directly control and predict lead costs, allocate budgets more efficiently, and measure true marketing effectiveness based on lead generation rather than traffic volume.
4Stability of the object's composition
If businesses use rule-based algorithms for keyword bidding, then they can maintain consistent bidding strategies, but they cannot adapt to changing market conditions or optimize for lead delivery
Solution Approach 1:
The system performs preliminary actions by pre-calculating optimal bid adjustments and budget allocations based on historical performance data and lead delivery goals. Before market conditions change, the system has already prepared optimized strategies that automatically activate when conditions trigger predefined thresholds, combining consistency with adaptability.
Solution Approach 2:
The patent transforms static rule-based bidding into dynamic, data-driven bidding that automatically adapts to changing market conditions. The system continuously monitors performance metrics, competitor activity, and market trends, then automatically adjusts bidding strategies to optimize lead delivery while maintaining overall strategic consistency through centralized control.
Data Source
AI summary
A system and method that enables a business owner to receive leads such as phone calls or emails to their business at a prescribed cost-per-lead and a volume determined by the budget the owner is willing to allocate to the purchase. The method manages an internet based advertisement campaign, which includes performing the step of creating an internet based advertisement campaign that includes a budget parameter, a campaign duration parameter, advertisement content with a lead reference, and an ad listing with a URL that links to said advertisement content. Another embodiment of the method can include managing the bidding process for a multi-item keyword auction.