This study, by Subodha Kumar and colleagues, looks at how the objects inside a company’s social media photos affect user engagement. Researchers used AI to detect “main” features (like a couch in a furniture ad) and “extra” background details (like a plant or vase) in Instagram and Facebook posts. They found that adding more extra details boosts engagement, but the pattern differs by platform: on Instagram, engagement rises then falls after about 7–8 extra features, while on Facebook it keeps climbing. The study also built a budgeting tool showing that companies get better results by considering these patterns and costs, rather than just picking platforms based on user numbers alone.
Know Your Users via Image Analytics Before Developing Posts: Data-Driven Optimization Framework to Enhance Social Media Engagement
