Oracle Social Cloud’s intuitive analytics tools empower marketers to discover, analyze and respond across paid, owned and earned social channels to measure the impact of their data-driven campaigns. A unified listening, analytics and engagement application helps marketers measure social success and connect social analytics with business KPI. The Social Cloud platform offers an API layer to deliver social data and functionality into existing technology stacks including Oracle Customer Experience Cloud and Marketing Cloud. Oracle Social Cloud includes the following social solutions: Application: • Listen: Uncover actionable insights from social or unstructured 1st party data through proprietary 3-tiered listening technology. Latent semantic analysis delivers easy refinement and auto-theming while natural language processing drives sentiment and top terms for business users. • Analyze: Customizable dashboards empower marketers to discover, analyze and report to measure campaign impact across paid, owned and earned social data. • Engage: Read, route and respond to social messages across owned and earned channels in one customizable engagement console. Platform: • A truly open platform with extensible APIs offers social data and social functionality across CX, OMC and 3rd party systems. Customers and partners leverage APIs to bring the power of social into their existing technology investments.
If you only have an editor or two managing the content marketing process, the bandwidth for consistent distribution and conversation monitoring may be limited to a few outlets; however, if you have a full team of writers, editors, and other distribution partners at your disposal, the extra manpower (or womanpower, see above) affords increased flexibility and control to manage content across many more channels.
Yes, your content will tell the story of your brand as a whole, but why not share with your audience what's happening with your company in real time? Facebook and Instagram, among other platforms, have created their own live streaming features, something that is not yet being used to its full potential by big brands. To compete with them, start using these live features before they really catch on. Live stories are a great way to:
The 2008 US presidential campaign had a huge presence on social networking sites. Barack Obama, a virtually unknown Democratic candidate, utilized 15 different social media websites to form relationships with the millions of American citizens who utilize those networks. His social networking profile pages were constantly being updated and interacting with followers. By the end of his campaign, Obama had 5 million social media network supporters (2.5 million on Facebook and 115,000 on Twitter). The use of social networking sites in his marketing campaign gave Barack Obama's campaign access to e-mail addresses, as posted on social network profile pages. This allowed the Democratic Party to launch e-mail campaigns asking for votes and campaign donations.
It's worth noting that many of the non-enterprise products use Facebook Analytics to some degree to gather their Facebook data. Facebook Analytics requires that a Facebook page have at least 30 likes before it begins to pay attention to it and gather stats. Google Analytics is also a valuable free tool and generates numerous types of reports and tools. Reports can be segmented and filtered to suit business needs. Real-time views reveal which new content is popular, how much traffic today's new promotion is driving to your website, and which tweets and blog posts draw the most engagement. Being able to pull from this application greatly benefits other social tool apps. Of the SMB-focused offerings, Sprout Social Premium, Buffer for Business, and Hootsuite Pro can integrate Google Analytics.
Explore your Twitter network. Discover which people interact the most and what they’re talking about. It’s also a great way to find relevant people to follow. The visualization runs right in your browser and displays data from Twitter. Mentionmap loads user’s tweets and finds the people and hashtags they talked about the most. In this data visualization, mentions become connections and discussions between multiple users emerge as clusters.