ReportStream Hatchet
Plan Your Chart-Topping Game Launch: Monster Hunter Case Study
1 Jan 20258 pages~7 min full read
Capcom’s Monster Hunter Wilds launch campaign generated 5.03 million earned-media views and achieved a 7.1 percent engagement rate on earned content.
A 12-hour marathon stream featuring iShowSpeed positioned him as the fifth-most-watched creator for the game on launch day.
The campaign utilized a multi-platform strategy across YouTube, TikTok, Instagram, and Twitch, resulting in an overall engagement rate of 3.2 percent.
Audience overlap analysis identified a distinct, low-overlap segment of 7.2 million Twitch users, providing a data-backed foundation for future targeting.
The initiative combined high-profile influencer partnerships with bespoke in-game content and DLC-code giveaways to drive traffic to a custom landing page.
The strategy relied on Stream Hatchet and Sideqik SaaS platforms to monitor real-time chat sentiment, viewer overlap, and code-distribution metrics for campaign optimization.
The case study demonstrates how Capcom leveraged Stream Hatchet’s campaign platform and Sideqik’s influencer‑management tools to create a viral cultural moment for the launch of Monster Hunter Wilds. The core strategy combined a 12‑hour marathon live stream hosted by high‑profile YouTube creator iShowSpeed, bespoke in‑game weapon and armor designs from cosplay influencers, and a DLC‑code giveaway that directed viewers to a custom landing page. Data‑driven planning, contract coordination, and cross‑team communication were used to ensure seamless execution and to maximize both paid and earned reach across YouTube, TikTok, Instagram and Twitch.
Performance metrics show the initiative generated 5.03 million earned‑media views, placing iShowSpeed at the fifth‑most‑watched Monster Hunter Wilds streamer on launch day, and achieved a 7.1 percent engagement rate on earned media. Seventy‑two earned‑media posts contributed to the view total, while platform‑level analysis recorded earned‑view shares of roughly 3.8 percent and paid‑view shares of 3.7 percent, with an overall engagement rate of 3.2 percent. Overlap analysis identified a low‑overlap, large‑audience segment of approximately 7.2 million Twitch users, informing future audience‑targeting decisions.
The methodology relied on Stream Hatchet and Sideqik SaaS platforms to capture real‑time chat sentiment, viewer overlap, benchmark comparisons, and code‑distribution analytics. A dedicated team of data analysts produced a comprehensive post‑campaign report that highlighted strengths, weaknesses, and actionable modifications for subsequent launches. The campaign’s geographic scope was global, focusing on the major streaming ecosystems active in early 2025, and targeted the core gaming and esports audience segments associated with action‑RPG titles.
