What are the benefits of applying AI analytics?

[fomayof928@mowline]

Callout card highlighting a stat from the Sprout Social luxembourg b2b leads Index saying 76% of consumers notice and appreciate when companies prioritize customer support.
Achieving this level of personalization can only be done by having timely and accurate data at hand that will tell you how best to please consumers and nurture your loyal customer base.

For example, Sprout’s Listening capability will inform you of what topics are trending in social conversations about your brand, what related terms customers are using and the sentiment around those topics. You get a complete picture of what’s top-of-mind in social conversations and uncover common themes and topics regarding your brand, products and service.

A screenshot of the Conversation Overview in Sprout Sociall where you can see metrics of select keywords and hashtags.
AI is transforming how businesses are operating by helping them automate tasks, so they can divert talent to areas that are more complex and strategic. Thus, enabling companies to grow and scale faster than before. Here are some key ways in which AI analytics is benefitting businesses today.

Automation
AI analysis helps businesses automate statistical calculations to monitor key performance indicator (KPI) metrics across platforms. This drives efficiency as time-consuming tasks are cut down and data analysis is expedited to derive relevant brand and customer insights. This ML-based automation gives back precious time to focus on planning and strategy while reducing workflow friction and workload.

For example, with an AI tool, companies no longer need to assign personnel to check every customer email or ticket to understand the request or complaint. These tools can seamlessly analyze all incoming messages and assign them sentiment so team members can quickly triage responses. In Sprout, also view spikes in brand mentions to keep a tab on brand sentiment and monitor potential crises.