SocialFlow Uses Data to Determine Best Social Media Practices
Mishal Omar — October 10, 2017 — Marketing
References: socialflow
SocialFlow is a platform for publishers and media brands that is able to help its clients know what to post, and when to post their content to optimize views and engagement.
The platform is largely numbers based, ensuring that its suggestions and functions are based in real time data that optimizes views. It is able to distribute and monetize content more effectively by using its smart publishing algorithms to determine when it is best to post something (sponsored or otherwise) in order to optimize the number of people who read or view it. It also provides adjustable editorial controls that ensure that SocialFlow's publishing and media clientele is able to control the platform to their own specific rules and needs.
By optimizing social media posts, SocialFlow is able to ensure that it stays relevant in a world that increasingly turns to social media for both pop cultural and news updates.
The platform is largely numbers based, ensuring that its suggestions and functions are based in real time data that optimizes views. It is able to distribute and monetize content more effectively by using its smart publishing algorithms to determine when it is best to post something (sponsored or otherwise) in order to optimize the number of people who read or view it. It also provides adjustable editorial controls that ensure that SocialFlow's publishing and media clientele is able to control the platform to their own specific rules and needs.
By optimizing social media posts, SocialFlow is able to ensure that it stays relevant in a world that increasingly turns to social media for both pop cultural and news updates.
Trend Themes
1. Data-driven Social Management - Opportunity for disruptive innovation: Develop advanced algorithms and machine learning models to provide even more accurate and real-time data-driven suggestions for optimal social media practices.
2. Smart Publishing Algorithms - Opportunity for disruptive innovation: Create new algorithms that can analyze and predict audience behavior, allowing publishers and media brands to deliver content at the exact right time for maximum views and engagement.
3. Adjustable Editorial Controls - Opportunity for disruptive innovation: Develop customizable editorial control features that empower publishers and media brands to tailor the platform to their specific rules and needs, enabling more efficient content distribution and monetization.
Industry Implications
1. Publishing - Opportunity for disruptive innovation: Integrate data-driven social management tools into publishing workflows to improve content distribution strategies and increase readership/engagement.
2. Media - Opportunity for disruptive innovation: Utilize data-driven social management tools to optimize content publishing and monetization strategies, improving reach and maximizing revenue potential.
3. Social Media - Opportunity for disruptive innovation: Develop data-driven algorithms and tools that enhance social media post optimization, enabling individuals and businesses to improve engagement and stay relevant in a rapidly changing landscape.
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