Topic breakdowns, demographics, and historical comparisons — without manually coding a single mention.
Research teams have traditionally spent hours reading and manually tagging mentions just to get to a usable dataset. Savanna Digital tracks mentions of a brand, product, or any keyword across news sites, blogs, forums, and social platforms in real time, using plain-language search instead of Boolean strings. Every mention is automatically scored positive, negative, or neutral and grouped into topics, turning raw, unstructured conversation into structured data you can analyze immediately instead of coding by hand.
Competitor benchmarking compares share of voice, sentiment, and mention volume directly against the competitors you choose to track, side by side, updated continuously. That gives you the historical comparisons and market context that turn a single data point into an actual trend line.
Influencer and author identification shows who's driving conversation about a topic, ranked by reach and engagement — a useful layer of demographic and voice-of-market context on top of the raw topic and sentiment data.
Real-time alerts flag the moment mention volume or sentiment shifts outside the normal range, so a trend change doesn't wait for the next scheduled review to be noticed. When it's time to share findings, turn any view into a polished PDF, CSV, or PPTX in one click, ready to drop into a report or hand off to stakeholders without manual formatting.
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