Case Study

Driving Smarter Campaign Targeting with AI-Enhanced Audience Strategy

01 Problem

A global cloud marketing team needed to improve audience selection and campaign effectiveness across EMEA. While AI tools were available, integrating insights into existing platforms like Marketo and Cloud Connect proved difficult due to access limitations. The team needed a better way to generate account-specific insights and improve targeting precision - fast, and within compliance boundaries.

02 Solution

We deployed a Senior Database Strategist with deep experience in campaign data, AI orchestration, and cross-regional alignment.

Account-Level Data Strategy

Used 3rd-party data signals to generate tailored insights at the account level, avoiding PII risks

Rapid Experimentation & Delivery

Used agile frameworks to move quickly from idea to insight, minimizing dependency on global tooling access

GenAI-Driven Insights

Leveraged Gemini via Vertex AI to turn raw data into usable campaign inputs, customized to each account’s context

Cross-Border Collaboration

Delivered insights for BDR teams across multiple EMEA markets, optimizing for usability and feedback

Enabled account-level campaign targeting using 3rd-party intent data

Increased campaign agility through low-lift GenAI prompt frameworks

Minimized compliance risk by avoiding contact-level data handling

Improved localization of insights using region-specific data granularity

Supported marketing and BDR alignment across multiple countries

Boosted the quality and precision of audience targeting in EMEA

03 Key Insights

AI is only useful when it’s actionable. By combining smart data selection, GenAI workflows, and compliance-aware architecture, Algomarketing helped this team turn static account lists into dynamic campaign intelligence - without slowing down delivery.

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