Case Study: Intel achieves 75% higher engagement and 48% greater cost efficiency with Oracle Marketing Cloud

Intel Boosts Engagement by Activating Look-Alike Models

Intel needed to drive more end users to its own sites despite being a component brand inside other manufacturers. Using a seed dataset of 27,000 surveyed consumers, the company aimed to identify top technology‑savvy segments and scale those niche audiences online to boost engagement, content browsing, and onsite product research.

Intel used Oracle Marketing Cloud’s data management and look‑alike modeling (powered by Oracle Data Cloud) to turn first‑party survey profiles into high‑value look‑alike audiences, then ran media to look‑alike and control groups. Look‑alike audiences outperformed controls, exceeded campaign engagement benchmarks by 75%, were 48% more cost‑efficient than the campaign average, and delivered the most cost‑efficient performance and behavioral insights for future targeting and messaging.

Intel