Like our conference, these digital marketing webinars and case studies were created to educate leaders in the healthcare industry on emerging Internet technologies and to provide an environment in which healthcare marketers, Web leaders, IT professionals and strategists can learn from the other attendees and presenters.
The Healthcare Internet Conference (HCIC) is proud to collaborate with Bowstring and Touch Point Media to provide exclusive insights from some of the brightest minds among our speakers and attendees.
Stay connected by tuning into the latest broadcasts, where strategic leaders share their perspectives on emerging trends and pressing challenges in the healthcare industry. Together, we’ll delve into groundbreaking innovations and pivotal policy updates shaping the future of healthcare.
Catch the audio-only episodes on Touch Point Media, available on your favorite podcast streaming platforms.
Web users do not like slow-loading web pages, a fact confirmed by a lot of research over recent years. But now, it’s not just web users who don’t like them. Facebook recently announced an algorithm change that will prioritize web pages that load faster in its mobile app.
According to Facebook, the social media platform’s users have complained about Facebook links that directed them to slow-loading pages. Facebook also said that for as many as 40% of users, three seconds is the extent of their patience before abandoning a page that is slow to download.
The algorithm change, which will take a few months to completely roll out, will mean a decrease in referral traffic to slow-loading web pages. If this all sounds familiar, Google made a similar move in 2016 that affected slow-loading web pages.
Once the update is in place, the estimated load time of a page that is linked from the news feed of the Facebook mobile app will be taken into account, as will the network connection. Pages determined to have a faster load time will be given higher priority in the news feed.
There are steps your organization can take to improve download times, such as:
