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数据维度：按产品类型与合作方角色的互动趋势（示例：Female Flats 对比其他品类）

Engagement Trend by Product Type and Partner Type

Explanation: This chart compares engagement levels over 12 weeks for two stakeholder types associated with a particular product category, labeled as Female Flats for clarity. The lines represent Partner engagements and Supplier engagements, illustrating how different collaboration models influence audience interaction over time. The data show that the Partner line rises steadily from the start, reaching a peak around week 12, while the Supplier line grows more gradually and remains consistently below the Partner line. This pattern suggests that partnerships may generate stronger or more sustainable engagement for this product category, potentially due to joint marketing efforts, co-branded messaging, or aligned incentives that resonate with the target audience. The dimension title indicates that observations are grouped by product type and the nature of the external actor, which allows us to compare how different channels perform for a given category without conflating effects across multiple products. The weekly values used here are synthetic but designed to demonstrate typical dynamics seen in real campaigns: early momentum driven by initial outreach, followed by accelerated growth as word-of-mouth or referrals take hold, and occasional plateauing as saturation sets in. The Partner line outperforms the Supplier line by approximately 8–15 points in the latter half of the period, a margin that is meaningful for decision-makers when allocating budgets or negotiating terms with channel partners. The x-axis represents the week index, while the y-axis shows a normalized engagement score on a 0–60 scale to emphasize relative changes rather than absolute counts. This simplification helps to highlight the overall trend and the relative strength of the two collaboration models over time. For practical use, analysts could extend this visualization by adding event-level data, such as impressions, clicks, videot watches, or add-to-cart actions, and by segmenting by region or demographic groups to test the robustness of the observed pattern. It also encourages a hypothesis-driven approach: if partnerships consistently outperform suppliers in engaging audiences for Female Flats, marketing teams should explore scaling co-created content, joint promotions, and long-term alliance strategies rather than relying solely on traditional supplier-driven campaigns.