Brandwatch

Set up boolean queries for brand keywords and negative sentiment indicators.

Enable Smart Alerts for statistical anomalies in mention volume.

Use Iris AI to summarize the root cause of the spike.

Export dashboard to the legal and PR teams for response formulation.

Create a monitoring project for the competitor's specific product hashtag.

Analyze share of voice (SOV) against your own brand.

Compare sentiment scores between the two products.

Identify specific product features users are complaining about in the competitor's launch.

Conduct a broad category search (e.g., 'sustainable packaging').

Use the historical archive to see if interest is growing or seasonal.

Segment the audience to see if the trend is localized to specific demographics.

Deliver findings to the R&D team.

Connect campaign-specific hashtags to the tracking module.

Monitor the 'Earned Media' value generated by the influencer.

Track traffic and conversions via integrated Google Analytics data.

Generate a post-campaign report comparing influencer performance.

Ingest reviews, forum posts, and social mentions regarding product usage.

Apply custom classifiers for 'usability', 'shipping', and 'pricing'.

Identify the high-volume negative clusters.

Direct the data to the CS team for workflow adjustment.

Analyze past successful campaigns using the 'Measure' module.

Research the audience demographics of the target market.

Identify the hours of peak engagement for the specific target audience.

Schedule content via the 'Publish' module for optimal visibility.

Run a multi-year brand health check on the target company.

Analyze the target's customer base for loyalty and churn indicators.

Identify any past legal or PR scandals that may still linger in public sentiment.

Present reputation risk assessment to the executive board.