Predict Demand. Activate Conversations. Own Outcomes.

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 Why LeadForge?

👉 Generate qualified calls faster than form fills.
👉 Improve media ROI by modeling intent, not clicks.

Because experienced marketers buy outcomes, not features.

• Model Intent (ActiveIntent® AI Audiences)
   
• Activate Channels (Calls, CTV, Google, Programmatic)
   
• Measure Signal (Call + appointment outcome data)
   
• Optimize Continuously (AI feedback loops)

Model demand before it becomes visible.

ActiveIntent® uses AI to model in-market behavior from real-world signals, allowing you to reach buyers before they self-identify. The system analyzes over a trillion monthly data threads to predict conversion likelihood across channels.

Audiences are privacy-aware, IAB-monitored, and updated daily. PII-enabled activation supports CTV, email, paid social, YouTube, and video discovery. Media can be activated independently or as part of a full demand stack.

Turn modeled intent into live conversations.

This system converts predicted demand into real-time calls and instant video appointments. Media is optimized algorithmically, learning from each interaction to improve call quality, routing, and outcomes over time.

Used across B2B (insurance, construction, manufacturing, SaaS) and high-consideration B2C categories (real estate, insurance, education and automotive), the model is designed for revenue-driving conversations—not form fills.

Initiate sales conversations with intent, not volume.

Outbound email is powered by intent scoring, adaptive sequencing, and deliverability intelligence. Campaigns are structured to prioritize relevance, timing, and domain health.

The system adjusts messaging and cadence based on engagement signals, with the goal of starting qualified conversations—not maximizing sends.

Apply performance logic to streaming media.

CTV campaigns are guided by AI-driven audience selection and frequency management, allowing streaming TV to function as a measurable demand channel.

Audience exposure, sequencing, and lift are continuously evaluated, balancing brand presence with performance accountability and downstream attribution. 

Coordinate search, automation, and optimization as one system.

Search, Performance Max, AI Max, and SEO operate under a shared learning framework that reallocates spend toward what actually converts.

Advanced integrations include call-center feedback, audio interstitial analysis, geo-time optimization, keyword exclusion, and multi-variable regression modeling—designed to improve efficiency beyond keyword-level optimization.

Improve results before media spend begins.

OctoSync® prepares and synchronizes audience data across platforms using AI-driven cleaning, scoring, and enrichment.

Delivery follows Total Quality Management (TQM) and Six Sigma principles, focusing on match rates, consistency, and downstream performance—so media launches with higher signal integrity.

Deploy programmatic media with predictive control.

Enterprise programmatic campaigns are executed through The Trade Desk and Xandr, using predictive models to guide spend across display, native, and omnichannel inventory.

The system supports large-scale reach with controlled frequency, pacing, and optimization across billions of daily impressions.

Let performance data shape creative decisions.

Creative assets are developed and iterated using algorithmic feedback loops that evaluate performance signals in near real time.

Bulk updates and revisions can be deployed within 24 hours, allowing creative to evolve based on what works—not subjective preference. Well-structured programs consistently outperform static creative approaches.