More on this use case
Catch negative mentions before they go viral. Run a MentionFox scan for your brand and see what people are saying, scored for sentiment, so you can respond, contain, and resolve. Scans run when you start them.
The Problem
Brand crises do not announce themselves. They begin as a single angry tweet, a scathing Reddit post, or a negative review that resonates with a wider audience. Within hours, a local complaint can snowball into a trending topic that reaches millions. The companies that survive reputational crises are the ones that detect the early warning signs and respond before the conversation spirals beyond their control.
Traditional monitoring approaches fail at crisis detection because they rely on periodic manual checks. If your social media manager checks Twitter at 9 AM and a viral complaint was posted at 2 AM, you have already lost seven hours of containment time. During those hours, the post may have been shared thousands of times, picked up by journalists, and amplified by influencers. The cost of those lost hours can be measured in customer churn, stock price drops, and long-term brand damage.
Even companies with social listening tools often lack the specific crisis-oriented configuration needed to catch early signals. Generic brand monitoring treats a glowing product review and a furious complaint with equal priority. Crisis work needs crisis keywords and a fast read of the negative mentions.
How MentionFox Solves It
MentionFox combines mention scans with sentiment analysis. Scans run when you start them. A daily watch, with an email when new mentions turn up, is on the Agency and Enterprise plans.
Step-by-Step Workflow
Step 1 — Define Crisis-Level Keywords
In addition to your standard brand monitoring queries, create a dedicated crisis scan that targets high-severity language associated with your brand. These keywords capture the types of mentions that signal a potential escalation.
"YourBrand" AND ("scandal" OR "lawsuit" OR "fraud" OR "scam")
"YourBrand" AND ("data breach" OR "hacked" OR "leaked" OR "exposed")
"YourBrand" AND ("boycott" OR "cancel" OR "never again" OR "worst experience")
"YourBrand" AND ("CEO" OR "founder") AND ("fired" OR "resigned" OR "arrested")
"YourBrand" AND ("outage" OR "down" OR "not working") AND ("hours" OR "days")
Pro tip: Include industry-specific crisis keywords. For a food brand, add terms like "food poisoning," "recall," and "contamination." For a fintech, add "unauthorized charges," "account locked," and "lost money." Tailor your crisis queries to the scenarios most likely to affect your specific business.
Step 2 — Review the Scan Results
Open the scan results to see the mentions your crisis keywords found, the platforms involved, the people posting, and the sentiment of each mention. Scans run when you start them, so re-run the crisis scan whenever you need a fresh read.
Step 3 — Check Recovery
After your team responds to the crisis, re-run the scan to check whether the response is working. Look for sentiment recovery: a successful response should shift the conversation from majority-negative back toward neutral or positive within 24 to 48 hours. If sentiment remains negative or volume continues to spike after your response, it indicates the response was insufficient and further action is needed.
Pro tip: After every crisis, export the full mention timeline as a CSV and conduct a post-mortem. Document the origin, peak, response time, and recovery curve. This data becomes invaluable for refining your crisis playbook and training your team for future incidents.
Key Features Used
- Sentiment analysis — Every mention a scan finds is scored for sentiment.
- Sentiment recovery check — Re-run a scan to see how sentiment shifts after your team's response to measure effectiveness.
- Timeline export — Download the full crisis timeline for post-mortem analysis and documentation.
Expected Results
Teams that run crisis scans with MentionFox can expect:
- Containment of issues before they reach mainstream media in a significant percentage of cases.
- Quantitative post-crisis reporting that demonstrates to leadership exactly how the team performed and where improvements are needed.
- A documented history of crisis patterns that helps predict and prevent future incidents.