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Loading?The overall alert level for the period. It compares negative mentions to the recent daily baseline: All clear = normal, Watch = elevated, Attention = a significant negative spike worth investigating. Based on how many standard deviations above average today's negatives are.
Reading the room…
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Total mentions?The number of posts, articles, comments, and other items mentioning foodpanda in the selected time period. Each item counts once.
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Negative?How many of those mentions were tagged as negative in sentiment — complaints, criticism, or warnings about foodpanda.
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Sentiment score?A net score from −100 to +100, computed as (positive − negative) ÷ total mentions × 100. Positive means more praise than complaints; negative means the opposite. 0 is balanced.
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Unique authors?The number of distinct accounts or people behind the mentions. A high mention count from few authors can signal a small group posting repeatedly.
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What's driving the conversation?The themes (categories and brand attributes) with the most negative mentions right now, ranked against their usual baseline. A high ratio means an issue is spiking versus normal.
30-day volume?Daily total mentions (line) and negative mentions over the last 30 days. Shows whether overall conversation and complaints are trending up or down.
Total mentions and negative mentions per day.
Where mentions came from
Breakdown by channel.
Sentiment trend?Positive, neutral, and negative mentions plotted over time. For the 24-hour view it's broken down by hour; for longer ranges, by day. Reddit is excluded from the hourly view (no timestamps).
Positive, neutral, and negative mentions over the selected period.
Channel & brand attributes?Two views: which platforms carry friendly vs hostile sentiment, and how foodpanda is described across 12 brand dimensions. Use the weight toggle to switch between counting mentions equally or by engagement.
Weight:
Toggle weighting: a viral post (10K likes) counts the same as a small post when counting mentions, but counts 10K× more when weighting by engagement.
Sentiment by channel?Each platform (X/Twitter, Reddit, News, etc.) broken into positive, neutral, and negative shares. Tells you where the friendliest and most hostile conversations are happening.
Which platforms are friendly, which are hostile.
Brand attributes?How often each of the 12 brand dimensions (Affordability, Reliability, Speed, etc.) is mentioned, and with what sentiment. Shows which attributes shape the brand conversation most.
How the brand is talked about across 12 dimensions.
When the conversation happens?Daily rhythm of the conversation: which hours are busiest, and whether activity right now is speeding up or slowing down. Reddit is excluded (no timestamps from Brandwatch).
Hourly patterns and conversation velocity. Reddit isn't included here (Brandwatch doesn't share Reddit timestamps).
Hour of day?Average mentions per hour of the day, averaged across the last 30 days. Peaks show when your audience is most active — useful for timing responses and posts.
Average mentions per hour, across the last 30 days.
Velocity?Compares the most recent hour's mention rate to the recent hourly average. “Picking up” means conversation is accelerating; “cooling off” means it’s settling. Helps catch a story before it peaks.
Is the conversation picking up or fading?
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Notable highlights?Stand-out moments in the selected period — busiest and quietest, most positive and most negative — each with a representative mention so you can see what drove it.
Stand-out moments in the selected period.
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Biggest days?The days in the last 30 with the highest mention volume or negative spikes. Each card summarises what people were talking about that day.
Days in the last 30 with the most mentions or negative spikes. Each card shows what people were talking about.
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Browse mentions?The raw mentions behind the numbers. Filter by sentiment, category, brand attribute, or channel to read exactly what people are saying.
Mentions
Alarm rules and category definitions are documented on the Reference tab.
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