What is Social Listening?
Social listening is the practice of monitoring social media channels for mentions of your brand, competitors, products, and relevant industry conversations. It goes beyond monitoring to derive insights that inform strategy.
Social Listening vs. Social MonitoringSocial Monitoring:
- Reactive
- Responds to mentions
- Customer service focused
- Real-time alerts
- Direct engagement
Social Listening:
- Proactive
- Analyzes trends
- Strategy focused
- Pattern recognition
- Insights generation
Why Social Listening MattersBusiness Benefits:
- Understand customer needs
- Identify market opportunities
- Track brand health
- Monitor competitors
- Prevent crises
- Improve products
- Find influencers
Statistics:
- 76% of consumers expect brands to respond to comments
- 83% of consumers appreciate when brands respond
- Social insights drive 25% better marketing decisions
- Early issue detection reduces crisis impact by 50%
Setting Up Social ListeningDefine What to Monitor:
Brand Mentions:
- Company name (and misspellings)
- Product names
- Campaign hashtags
- Executive names
- Common abbreviations
Industry Terms:
- Industry keywords
- Product categories
- Problem statements
- Solution searches
Competitors:
- Competitor names
- Competitor products
- Comparative terms
- Industry alternatives
Trends:
- Industry hashtags
- Trending topics
- Emerging conversations
- News and events
Choose Your Tools:
Free Options:
- Google Alerts
- Twitter Advanced Search
- Platform native search
- Reddit search
Paid Solutions:
- Brandwatch
- Sprout Social
- Hootsuite Insights
- Mention
- Aibrify AMP
Key Metrics to TrackVolume Metrics:
- Total mentions
- Mention trends
- Share of voice
- Reach estimates
Sentiment Metrics:
- Positive mentions
- Negative mentions
- Neutral mentions
- Sentiment trends
Engagement Metrics:
- Engagement per mention
- Influential mentions
- Viral mentions
- Response rates
Source Metrics:
- Platform breakdown
- Geographic distribution
- Demographic insights
- Influencer mentions
Turning Data into InsightsAnalysis Framework:
1. Volume Analysis:
- What's driving mention spikes?
- What topics generate most discussion?
- When are conversations happening?
2. Sentiment Analysis:
- What's the overall brand perception?
- What drives positive sentiment?
- What causes negative sentiment?
3. Competitive Analysis:
- How does your SOV compare?
- What are competitors doing well?
- Where are the gaps?
4. Trend Analysis:
- What conversations are emerging?
- What topics are declining?
- What opportunities exist?
Use Cases for Social ListeningCustomer Insights:
- Pain points and challenges
- Unmet needs
- Product feedback
- Feature requests
- Purchase drivers
Competitive Intelligence:
- Competitor strengths/weaknesses
- Market positioning
- Customer perception
- Campaign performance
- Product launches
Crisis Prevention:
- Early warning signals
- Sentiment shifts
- Issue identification
- Response planning
- Recovery tracking
Content Strategy:
- Topic identification
- Content gap analysis
- Trending formats
- Audience interests
- Optimal timing
Product Development:
- Feature requests
- User problems
- Market gaps
- Beta tester feedback
- Launch reception
Building a Listening StrategyStep 1: Set Objectives
- What questions need answering?
- What decisions will this inform?
- Who needs this information?
Step 2: Create Query Framework
- Primary keywords
- Boolean operators
- Exclusion terms
- Source filters
Step 3: Establish Workflows
- Regular reporting cadence
- Alert triggers
- Response protocols
- Escalation procedures
Step 4: Act on Insights
- Share findings across teams
- Integrate into planning
- Reactive
- Responds to mentions
- Customer service focused
- Real-time alerts
- Direct engagement
Social Listening:
- Proactive
- Analyzes trends
- Strategy focused
- Pattern recognition
- Insights generation
Why Social Listening Matters
Business Benefits:
- Understand customer needs
- Identify market opportunities
- Track brand health
- Monitor competitors
- Prevent crises
- Improve products
- Find influencers
Statistics:
- 76% of consumers expect brands to respond to comments
- 83% of consumers appreciate when brands respond
- Social insights drive 25% better marketing decisions
- Early issue detection reduces crisis impact by 50%
Setting Up Social Listening
Define What to Monitor:
Brand Mentions:
- Company name (and misspellings)
- Product names
- Campaign hashtags
- Executive names
- Common abbreviations
Industry Terms:
- Industry keywords
- Product categories
- Problem statements
- Solution searches
Competitors:
- Competitor names
- Competitor products
- Comparative terms
- Industry alternatives
Trends:
- Industry hashtags
- Trending topics
- Emerging conversations
- News and events
Choose Your Tools:
Free Options:
- Google Alerts
- Twitter Advanced Search
- Platform native search
- Reddit search
Paid Solutions:
- Brandwatch
- Sprout Social
- Hootsuite Insights
- Mention
- Aibrify AMP
Key Metrics to Track
Volume Metrics:
- Total mentions
- Mention trends
- Share of voice
- Reach estimates
Sentiment Metrics:
- Positive mentions
- Negative mentions
- Neutral mentions
- Sentiment trends
Engagement Metrics:
- Engagement per mention
- Influential mentions
- Viral mentions
- Response rates
Source Metrics:
- Platform breakdown
- Geographic distribution
- Demographic insights
- Influencer mentions
Turning Data into Insights
Analysis Framework:
1. Volume Analysis:
- What's driving mention spikes?
- What topics generate most discussion?
- When are conversations happening?
2. Sentiment Analysis:
- What's the overall brand perception?
- What drives positive sentiment?
- What causes negative sentiment?
3. Competitive Analysis:
- How does your SOV compare?
- What are competitors doing well?
- Where are the gaps?
4. Trend Analysis:
- What conversations are emerging?
- What topics are declining?
- What opportunities exist?
Use Cases for Social Listening
Customer Insights:
- Pain points and challenges
- Unmet needs
- Product feedback
- Feature requests
- Purchase drivers
Competitive Intelligence:
- Competitor strengths/weaknesses
- Market positioning
- Customer perception
- Campaign performance
- Product launches
Crisis Prevention:
- Early warning signals
- Sentiment shifts
- Issue identification
- Response planning
- Recovery tracking
Content Strategy:
- Topic identification
- Content gap analysis
- Trending formats
- Audience interests
- Optimal timing
Product Development:
- Feature requests
- User problems
- Market gaps
- Beta tester feedback
- Launch reception
Building a Listening Strategy
Step 1: Set Objectives
- What questions need answering?
- What decisions will this inform?
- Who needs this information?
Step 2: Create Query Framework
- Primary keywords
- Boolean operators
- Exclusion terms
- Source filters
Step 3: Establish Workflows
- Regular reporting cadence
- Alert triggers
- Response protocols
- Escalation procedures
Step 4: Act on Insights
- Share findings across teams
- Integrate into planning
- Integrate into planning
- Share findings across teams
- Escalation procedures
- Response protocols
- Alert triggers
- Regular reporting cadence
- Source filters
- Exclusion terms
- Boolean operators
- Primary keywords
- Who needs this information?
- What decisions will this inform?
- What questions need answering?
- Launch reception
- Beta tester feedback
- Market gaps
- User problems
- Feature requests
- Optimal timing
- Audience interests
- Trending formats
- Content gap analysis
- Topic identification
- Recovery tracking
- Response planning
- Issue identification
- Sentiment shifts
- Early warning signals
- Product launches
- Campaign performance
- Customer perception
- Market positioning
- Competitor strengths/weaknesses
- Purchase drivers
- Feature requests
- Product feedback
- Unmet needs
- Pain points and challenges
- What opportunities exist?
- What topics are declining?
- What conversations are emerging?
- Where are the gaps?
- What are competitors doing well?
- How does your SOV compare?
- What causes negative sentiment?
- What drives positive sentiment?
- What's the overall brand perception?
- When are conversations happening?
- What topics generate most discussion?
- What's driving mention spikes?
- Influencer mentions
- Demographic insights
- Geographic distribution
- Platform breakdown
- Response rates
- Viral mentions
- Influential mentions
- Engagement per mention
- Sentiment trends
- Neutral mentions
- Negative mentions
- Positive mentions
- Reach estimates
- Share of voice
- Mention trends
- Total mentions
- Aibrify AMP
- Mention
- Hootsuite Insights
- Sprout Social
- Brandwatch
- Reddit search
- Platform native search
- Twitter Advanced Search
- Google Alerts
- News and events
- Emerging conversations
- Trending topics
- Industry hashtags
- Industry alternatives
- Comparative terms
- Competitor products
- Competitor names
- Solution searches
- Problem statements
- Product categories
- Industry keywords
- Common abbreviations
- Executive names
- Campaign hashtags
- Product names
- Company name (and misspellings)
- Early issue detection reduces crisis impact by 50%
- Social insights drive 25% better marketing decisions
- 83% of consumers appreciate when brands respond
- 76% of consumers expect brands to respond to comments
- Find influencers
- Improve products
- Prevent crises
- Monitor competitors
- Track brand health
- Identify market opportunities
- Understand customer needs
- Insights generation
- Pattern recognition
- Strategy focused
- Analyzes trends
- Proactive
- Direct engagement
- Real-time alerts
- Customer service focused
- Responds to mentions