Media monitoring

Media intelligence is the collection and analysis of coverage and conversation about a brand across news, broadcast, social media, forums, and review sites. The output is a set of decisions, not a running list of clippings. It differs from plain media monitoring, which only tracks that a mention occurred. Media intelligence classifies each mention by topic, sentiment, and reach, then connects the pattern to action. For contact centers, this matters because public complaints often surface before ticket volume does. OnClarity’s Voice of Customer aggregates 100+ sources, including social media and reviews, to catch these signals early. Example: a delivery complaint theme appears in app store reviews a full week before contact volume starts to rise.

Social listening is the practice of tracking public, unsolicited conversations about a brand or product across social platforms, review sites, forums, and app stores. This differs from solicited feedback gathered through surveys or support tickets. It relies on topic and sentiment classification to group mentions by theme and tone, with spike alerting to flag unusual volume before it shows up in ticket queues. OnClarity’s Voice of Customer treats social listening as one input among many feedback sources. Example: a sudden rise in one-star app store reviews mentioning “can’t log in” surfaces a login failure hours before support volume climbs.

Always-on brand monitoring is the continuous collection of brand mentions and customer feedback from social media, review sites, support conversations, and news. It replaces periodic survey waves with a running feed of data. It captures unprompted, real-world language at high speed and volume. That makes it useful for tracking share of voice and early sentiment shifts between formal brand health tracking cycles. Its limitation is self-selection bias: contributors skew toward people motivated enough to post, so the sample isn’t statistically representative like a recruited panel. It costs less to sustain than repeated survey fielding, though it trades sampling control for reach. Minoan cut its voice-of-customer analysis time by 55% using this continuous approach instead of manual review.

Crisis monitoring is the continuous tracking of customer and public channels to catch sudden shifts that signal an incident. That might be a complaint spike, an outage, a safety issue, or a story gaining traction online. It differs from routine monitoring by comparing live volume and sentiment against a historical baseline. It flags anomalies, applies alert thresholds, and routes the notification to an on-call owner quickly, before the issue spreads. Example: a payments failure surfaces as a surge in chat contacts before the status page even updates. OnClarity’s Voice of Customer supports this with real-time alerting into tools like Slack. Related terms: media intelligence and root cause analysis.