The Bitly Chart Explains When to Share Content on Social Media
Sarah Nazim — July 15, 2012 — Art & Design
References: https & coolinfographics
This infographic by Bitly explains when it is optimal to share content on Facebook and Twitter. This information is especially crucial for brands that want to optimize traffic to their sites. This chart provides valuable user interaction statistics as to the hours in the day that are optimal.
The best time to tweet is from Monday to Thursday, between the hours of 1:00-3:00pm, and on Friday it is best to tweet before 3:00pm, as people tend to head out for the weekend. According to this chart, it would be wise not to tweet after 8:00pm. In terms of Facebook, the highest click-through rates are mid-week between 1:00pm-4:00pm; and traffic tends to accelerate around 9:00am and dies off by 4:00pm.
The best time to tweet is from Monday to Thursday, between the hours of 1:00-3:00pm, and on Friday it is best to tweet before 3:00pm, as people tend to head out for the weekend. According to this chart, it would be wise not to tweet after 8:00pm. In terms of Facebook, the highest click-through rates are mid-week between 1:00pm-4:00pm; and traffic tends to accelerate around 9:00am and dies off by 4:00pm.
Trend Themes
1. Optimal Sharing Times - Identify the best times to share content on social media for maximum user interaction and traffic optimization.
2. Peak Click-through Rates - Understand the times of day when click-through rates are highest on Facebook, allowing brands to maximize engagement and website traffic.
3. Weekday Vs Weekend Patterns - Recognize the differences in user behavior on social media platforms between weekdays and weekends, enabling brands to tailor their communication strategies accordingly.
Industry Implications
1. Digital Marketing - By knowing the optimal sharing times, digital marketers can plan and schedule social media campaigns for better reach and engagement.
2. Consumer Behavior Research - Understanding peak click-through rates and user behavior patterns helps consumer behavior researchers gain insights into online consumer habits and preferences.
3. Social Media Analytics - Analyzing data on optimal sharing times and click-through rates allows social media analytics companies to provide valuable insights and recommendations to brands for improving their online presence and performance.
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