The Business of Fashion
Agenda-setting intelligence, analysis and advice for the global fashion community.
Agenda-setting intelligence, analysis and advice for the global fashion community.
SAN FRANCISCO, United States — Facebook Inc's picture-sharing app Instagram said it is reshuffling feeds to display curated content that users would 'care' about first.
The sequence of posts would be based on the likelihood of interest in the content, the user's relationship with the person or timeliness of the post, Instagram said in a blog post.
On an average, users miss 70 percent of their feeds, Instagram added.
Instagram is the latest addition to the growing list of social media platforms reorganizing user feed to draw better attention from users.
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Twitter Inc, in February, jumped on the feed customization bandwagon and let go of uniformly displaying tweets in reverse chronological order.
Facebook's feed also displays content in a similar algorithmic fashion based upon user interests.
The widely used photo-sharing app's decision to move away from its time-based feed could rid it of one prime feature - showing real-time content.
Technology blogger Techcrunch argues that users would have to worry about making their posts good enough to be chosen by the algorithm or their posts could be de-prioritized.
Instagram said the change in the feed for users would roll out in the coming months.
By Sangameswaran S.; editor: Sunil Nair.
At The Business of Fashion’s Professional Summit in New York last week, Sona Abaryan, partner and global retail and luxury sector lead at tech-enabled data science firm Ekimetrics, shared how businesses can more effectively leverage AI-driven insights on consumer behaviour to achieve a customer-centric strategic approach.
From customer loyalty types to its pillars of personalisation, SAP Emarsys customer engagement provides more than 1,500 companies with personalised marketing campaigns via AI-powered analytics, including Puma, Aldo and Reformation. BoF learns more.
Before fashion businesses can put artificial intelligence to work or target the right shoppers online, they need good data and a deep understanding of who their customers are and what they want. This case study offers a guide for brands that want to truly know their customer, allowing them to make smarter decisions that serve shoppers and drive results.
The US House of Representatives approved a bill that could ultimately lead to a ban of the app, but its path forward remains far from certain.