From Campaigns to a Scalable Engineer Lead Generation Engine

In 2025, a leading global semiconductor manufacturer partnered with EETech to modernize and scale its lead generation strategy through a centralized, AI-powered content hub. The initiative focused on reducing operational complexity, improving lead quality, and enabling long-term nurture across multiple business units, regions, and content assets.

Executive Summary

In 2025, a leading global semiconductor manufacturer partnered with EETech to modernize and scale its lead generation strategy through a centralized, AI-powered content hub. The initiative focused on reducing operational complexity, improving lead quality, and enabling long-term nurture across multiple business units, regions, and content assets.

To support these goals, EETech implemented a volume-based lead generation program anchored by a custom Partner Content Hub on All About Circuits. By combining AI-driven targeting and nurture, centralized content distribution, and unified reporting, the program transformed fragmented campaign execution into a scalable, repeatable demand engine.

Client Background

The client is a global leader in semiconductors, specializing in power systems, automotive technologies, microcontrollers, security solutions, and IoT applications. Serving customers across automotive, industrial, and consumer markets, the organization plays a critical role in enabling digitalization, electrification, and energy efficiency worldwide.

With marketing teams operating across regions and business units, the client manages a high volume of technical content and campaigns. As demand generation efforts expanded, the organization sought a more efficient way to activate content, nurture engineering audiences, and gain clearer insight into performance across programs.

The Challenge

The client faced growing complexity in managing lead generation across multiple assets, regions, and internal teams. Campaigns were executed as individual bookings, each requiring separate coordination, approvals, and purchase orders. This approach created administrative overhead, limited agility, and made it difficult to scale successful programs.

Fragmented reporting reduced visibility into performance and constrained the ability to understand how leads engaged across longer buying cycles. Opportunities to nurture prospects beyond initial touchpoints were often missed, reducing overall return on content investments.

Prior to partnering with EETech, lead generation relied on discrete, campaign-based execution with limited centralized nurture, inconsistent reporting, and significant manual effort from internal marketing teams.

The Solution

EETech designed and deployed a volume-based lead generation program centered on a custom Partner Content Hub hosted on All About Circuits. The solution consolidated content activation, lead capture, and nurture into a single, scalable framework.

Centralized Content Hub

  • A gated content library with one-time registration, enabling ongoing access to multiple assets
  • AI-assisted form pre-population for returning users to reduce friction

Scalable Lead Programs

  • Cost-per-lead programs supporting Standard, Premium, and ABM lead types
  • Built-in double opt-in and de-duplication to ensure lead quality and trust

AI-Powered Targeting and Nurture

  • Audience recognition and intent-based targeting across EETech’s engineering communities
  • AI-driven nurture programs using NexTargetAI to support extended buying cycles

Integrated Distribution and Reporting

  • Email, native advertising, and AI-driven campaigns activated through a unified program
  • Consolidated reporting providing cross-channel and cross-campaign visibility

Implementation

The program was planned as a multi-phase rollout aligned with the client’s fiscal year planning cycle. A preparation period of approximately six weeks supported hub setup, systems integration, and internal alignment.

Initial campaigns launched ahead of full hub readiness and were migrated seamlessly once the content hub was live. Ongoing collaboration supported approvals, content uploads, optimization, and performance review.

Key lessons included the importance of aligning content across divisions, establishing clear lead quality governance through opt-in and de-duplication rules, and organizing content into well-defined topic areas to maximize AI-driven nurture performance.

Results

The Partner Content Hub delivered measurable improvements in engagement, lead quality, and operational efficiency.

  • Content hub re-engagement within 45 days reached approximately 11%, indicating sustained interest beyond first-touch interactions.
  • Market-qualified leads converting to sales-accepted leads increased by 30%.
  • 4% of contacts engaged with more than 3 assets, demonstrating multi-asset engagement.

Qualitatively, the program enabled faster order processing, more efficient asset submission workflows, and improved agility in campaign execution. Client stakeholders highlighted the value of clear process adherence and structured program management in supporting smoother collaboration across teams.

Client Impact

The shift from individual campaign execution to a centralized, volume-based program reduced internal workload while improving visibility into performance. Unified reporting and AI-driven nurture enabled better understanding of audience behavior and supported long-term engagement across extended buying cycles.

“We have seen a very positive lift in multi-asset consumption since doing lead generation through the Partner Content Hub.”

This feedback reinforced the value of consolidating content activation and nurture into a single, scalable program built around quality and efficiency.

Conclusion

This engagement demonstrates how media, AI, and data can work together to modernize B2B lead generation for complex, multi-division organizations. By consolidating content activation and lead nurture into a single, scalable program, the client transformed fragmented execution into a repeatable demand engine.

The Partner Content Hub positions EETech as a strategic execution partner, enabling ongoing optimization, stronger performance insights, and future expansion opportunities as demand generation needs continue to evolve.

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