Case Study – ADS-TEC Energy

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.

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.

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.