Pinterest shares algorithm insights as it shifts focus to non-engagement signals

Non-engagement signals are indicators that Pinterest uses to rank content without relying solely on user engagement. These signals come from two primary sources:

1. In-app surveys: Users provide direct feedback about the platform through these surveys.
2. Independent assessments of content quality: This involves manual labeling to evaluate the quality of content.

Non-engagement signals allow Pinterest to prioritize content that aligns with its values, such as inclusivity, by considering user preferences like body type, hair pattern, or skin tone.

Pinterest collaborated with UC Berkeley and the Integrity Institute to create the 'Field Guide to Non-Engagement Signals' with the aim of helping other platforms improve user experiences over time. The guide is intended to provide platforms with information to make informed decisions about using non-engagement signals, rather than prescribing specific actions.

Brands can use Pinterest's insights on their algorithm by focusing on the metrics that Pinterest prioritizes, which include non-engagement signals. By understanding the importance of these signals, brands can tailor their content strategies to align with Pinterest's values and the factors that influence content ranking, potentially securing more visibility for their content on the platform.