Case Study: ADS-TEC Energy
Building a Scalable Demand System
From Campaign Execution to Full-Funnel Growth in a Complex B2B Market.

Case Study: ADS-TEC Energy
At a Glance
Context
ADS-TEC Energy operates in a highly technical B2B environment, offering battery-buffered ultra-fast charging solutions for e-mobility infrastructure.
Strategy
AIM designed a full-funnel demand system combining awareness, consideration, and conversion signals into a single growth framework.
Challenge
Traditional campaign-led acquisition struggled to scale demand efficiently across markets while capturing meaningful business intent.
Impact
ADS-TEC Energy gained a predictable, scalable demand engine aligned with long B2B sales cycles.
The Context
Ultra-Fast Charging without Grid Upgrades
ADS-TEC Energy addresses one of the core challenges of electric mobility: enabling ultra-fast charging without costly grid upgrades. Its solutions combine hardware, battery technology, and proprietary software — making the buying journey complex, technical, and rarely driven by a single touchpoint.
To grow globally, ADS-TEC Energy needed more than lead generation; it required a system capable of educating the market, building credibility, and capturing intent across multiple stakeholder profiles.
The Challenge
Structure & Intent Differentiation
Initial acquisition efforts were campaign-driven and fragmented, generating traffic and interactions without a clear hierarchy of intent. While visibility existed, it was difficult to distinguish early-stage interest from meaningful demand signals such as technical evaluation, investor interest, or commercial inquiry.
The core challenge was to scale demand without inflating costs, while aligning marketing performance with real B2B buying behavior and long sales cycles. Without intent differentiation, scaling risked inflating costs without improving commercial relevance.
The Strategy
Building a Scalable Demand System
AIM restructured the account around a demand-centric model, defining clear intent layers—from awareness to high-value consideration actions.
The system replaced isolated campaign optimization with a hierarchy of intent layers, defining which signals indicate awareness, evaluation, or commercial relevance.
Execution
Three Layers of Intent
01
Awareness & Signal Generator
Performance Max was leveraged to expand reach across relevant industries and markets, feeding the system with qualified engagement signals. It served primarily as an awareness and signal generator, not as a direct sales channel.
02
Mid-Funnel Intent Optimization
Key conversion actions such as whitepaper downloads, technical documentation access, and investor materials were elevated as strategic demand indicators. These actions were treated as high-value intent indicators rather than traditional leads.
03
Search & High-Intent Capture
Lower-funnel Search campaigns focused on capturing commercial and technical intent once demand had been nurtured upstream. Activated only once upstream intent signals indicated sufficient demand maturity.
The Results
Year-Over-Year Performance 2023 / 2024
Demand scaled rapidly while efficiency improved, demonstrating the effectiveness of a system-led approach. Conversions represent aggregated demand signals across the funnel, not just sales-qualified leads.
Conversions represent aggregated demand signals across the funnel, not sales-qualified leads. The decrease in cost per conversion reflects improved signal quality, not lower lead prices.
+40.0%
Impressions
+80.8%
Interaction Rate
+59.5%
Clicks
+313.8%
Conversions
−73.3%
Cost per Conv.
The Impact
Predictable, Scalable Growth
ADS-TEC Energy transitioned from tactical execution to a structured demand system. Marketing performance is now evaluated based on intent depth, enabling clearer prioritization for sales and investor engagement.
This approach protects margins and supports expansion in a complex B2B landscape.
Build demand systems, not campaigns.
AIM helps B2B innovators turn complexity into scalable growth.
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