B2B
Case Study
Objective
The client wanted to reach safety officers and procurement professionals responsible for industrial fleet safety across select U.S. states. Standard B2B targeting lacked sufficient scale and accuracy, so we developed a data-driven approach to define and activate this audience.
Data Strategy
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Data-Led Audience Identification
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Device IDs, IP intelligence, and behavioral metadata were analyzed to isolate professionals with industrial safety interests.
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Job-related browsing, device activity, and geo-behavioral signals were used to validate audience authenticity.
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CRM-Driven Modeling & Lookalike Expansion
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The client’s CRM list informed our lookalike modeling, identifying new prospects with similar digital behaviors and engagement patterns.
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Behavioral enrichment uncovered online habits common to the client’s existing customer base.
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Contextual & Location Enrichment
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Contextual keywords and industry sites were mapped to ensure relevance and brand safety.
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Mobility data pinpointed major industry events and conventions to capture high-value clusters of professionals.
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Results
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Verified Data Coverage: Niche audience segments mapped across five U.S. states.
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Audience Enrichment: Multi-signal datasets combining CRM, device, and contextual intelligence.
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Precision Engagement: Improved reach and engagement efficiency within a narrow B2B audience.
Impact
By combining device-level, CRM, and contextual data, the client achieved precision targeting in a highly specialized sector. The enriched datasets not only expanded addressable audiences but also established a repeatable framework for data-driven B2B marketing.