Startup Cloud Campaign Improves Social Posts with Machine Learning
Alyson Wyers — June 29, 2017 — Tech
References: cloudcampaign.io & betalist
Based in California, Cloud Campaign is a "trigger-based" social media marketing startup founded by Ryan Born. The new social analytics venture brings together machine learning and big data to automate organic social media posts.
Currently in beta, the platform aims to double the number of social media followers you have in a timeframe of just 3 months. The company founder explains "keeping social media accounts fresh and timing organic posts with current events is hard, but it shouldn't be."
Cloud Campaign allows users to create triggers and queue up social content. A trigger could be formatted data such as weather, trending search terms on Twitter or sports statistics. Machine learning determines how the post will perform and when the best time to post it would be.
Currently in beta, the platform aims to double the number of social media followers you have in a timeframe of just 3 months. The company founder explains "keeping social media accounts fresh and timing organic posts with current events is hard, but it shouldn't be."
Cloud Campaign allows users to create triggers and queue up social content. A trigger could be formatted data such as weather, trending search terms on Twitter or sports statistics. Machine learning determines how the post will perform and when the best time to post it would be.
Trend Themes
1. AI-optimized Social Marketing - Opportunities for leveraging AI-driven analytics to automate and improve organic social media posts through machine learning and big data.
2. Trigger-based Social Analytics - Creating trigger-based social content based on formatted data such as weather, trending search terms on Twitter or sports statistics that capitalizes on machine learning to determine how the post will perform and when the best time to post it would be.
3. Social Media Follower Growth - Leveraging Cloud Campaign's beta platform to rapidly increase social media followers through an automated, AI-optimized social media marketing strategy.
Industry Implications
1. Social Media Management - There is an opportunity for social media management companies to integrate automated machine learning into their platforms to deliver more effective social media campaigns.
2. Digital Marketing - Digital marketing firms can integrate machine learning into their social media strategies for their clients to offer better performance and quicker results.
3. Artificial Intelligence - There is an opportunity for AI companies to develop similar products to Cloud Campaign that leverage machine learning and big data for trigger-based social analytics, which can increase social media follower growth.
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