Surface-Level Metrics Miss the Full Picture

On June 16, one client’s post ranked among the top three most engaging of the day. Despite over 700 views on X, the number of comments was low. With dima’s sentiment analysis, the agency uncovered a strong negative impression beneath the surface. This proved that relying only on likes, shares, and comments is misleading, and deeper sentiment insights are essential to understand true audience reactions

Detecting Crises Before They Escalate

On June 2, a technical issue spread rapidly across multiple influential sources. dima’s real-time monitoring revealed a sharp increase in audience emotions such as fear and anxiety, showing how quickly public sentiment can shift during crises. Early detection gave the agency the ability to alert the client immediately, helping them respond before the situation spiraled further.

Turning Raw Data Into Insights

By June 9, dima’s sentiment breakdown showed a mix of audience emotions: 20% joy, 40% fear, and 40% anticipation. The agency drilled into the “Fear” segment to review individual posts, confirming dima’s accuracy in Arabic sentiment analysis. Anger linked to outages and fees was flagged early, and multilingual coverage extended findings across Arabic, English, and Spanish. Frequent words analysis also uncovered unexpected brand connections, while topic tracking highlighted daily conversations about outages and feature requests. Together, these insights equipped the client to address real user concerns, improve services, and strengthen communication with their audience.