BigSentiment
Best for: PR sentiment analytics reports
Best when media and public signals need to become a clear sentiment report for leaders.
Tradeoff: Not a media relations CRM.
PR Analytics Software
Compare PR analytics software for coverage impact, campaign sentiment, share of voice, narrative risk, media tone, and reports.
Compare PR analytics software for coverage impact, campaign sentiment, share of voice, media tone, narrative risk, public reaction, and executive-ready reports.
What is PR analytics software?
PR analytics software measures the performance and impact of communications work using coverage data, audience reach, sentiment, message pull-through, share of voice, narrative trends, and reporting.
BigSentiment fits when PR analytics needs to explain sentiment, narrative themes, urgency, and reputation impact in a finished report rather than another analytics dashboard.
Who compares PR analytics software
- PR leaders - Need to explain whether campaigns changed perception
- Agency teams - Need report-ready campaign and coverage findings
- Communications analysts - Need media tone, examples, and caveats
- Executives - Need PR impact translated into reputation meaning
How to evaluate PR analytics software
- Define PR outcomes - Coverage volume, reach, sentiment, message pull-through, traffic, and reputation risk answer different questions.
- Separate vanity metrics - High reach can still carry negative or confusing sentiment.
- Check source context - PR analytics should show which outlets, social reactions, reviews, or forums shaped the result.
- Look for evidence - Useful reports include quotes, examples, sample sizes, and caveats.
- Match the recipient - Executives need concise takeaways; analysts may need dashboards and exports.
Common data sources
PR analytics sources can include earned media, online news, broadcast, podcasts, social engagement, referral traffic, share-of-voice data, forums, reviews, and campaign mentions.
BigSentiment turns PR and public response signals into sentiment reports with narrative context and recommended actions.
Decisions this category supports
- Whether PR activity improved sentiment
- Which messages landed or missed
- Which coverage created risk or opportunity
- How PR sentiment compares with customer feedback
- What should change in the next campaign
Where BigSentiment fits
- Sentiment as the core metric - Reports explain tone and themes, not just volume and reach
- Narrative context - Coverage is tied to public reaction and reputation signals
- Executive-ready format - Findings are prepared for leadership review
- Transparent limitations - Reports include source and confidence caveats
PR analytics software by workflow
PR analytics includes campaign measurement suites, media monitoring platforms, social analytics, attribution tools, and sentiment-reporting layers.
CisionOne, Meltwater, Muck Rack, or Prezly
Best for: PR analytics and media relations
Strong for coverage measurement, PR workflows, reports, and campaign tracking.
Tradeoff: Sentiment interpretation can require setup.
Google Analytics, Looker Studio, or BI tools
Best for: Traffic and attribution
Useful for measuring visits, conversions, and campaign traffic.
Tradeoff: Do not explain coverage tone by themselves.
Brandwatch, Talkwalker, or Sprinklr
Best for: Social and media analytics
Useful for share of voice, conversation trends, and dashboards.
Tradeoff: Dashboard ownership required.
Hand-built PR reports
Best for: Custom executive reporting
Flexible when an analyst has time and source access.
Tradeoff: Manual and hard to repeat.
PR analytics software decision matrix
Choose based on the work your team needs to do after the software finds the signal.
- Report-first PR sentiment analytics: Best fit: Comms leaders Output: Reports with tone, themes, examples, caveats, and actions Watch for: Not outreach software
- PR platform analytics: Best fit: PR teams Output: Coverage, reach, share of voice, and dashboards Watch for: Sentiment nuance
- Traffic analytics: Best fit: Digital teams Output: Visits, conversions, and referral metrics Watch for: No media tone
- Social/media analytics: Best fit: Large brands Output: Dashboards and trends Watch for: Setup effort
- Manual reporting: Best fit: Custom one-offs Output: Analyst-built reports Watch for: Scalability
Frequently asked questions
What metrics should PR analytics include?
Useful PR analytics include coverage volume, source quality, reach, sentiment, themes, message pull-through, share of voice, public reaction, and recommended actions.
Does BigSentiment measure PR ROI?
BigSentiment focuses on sentiment and reputation impact. It can support PR ROI discussions, but it does not replace traffic attribution or sales analytics tools.
Why is sentiment important in PR analytics?
Volume and reach do not show whether coverage helped or hurt perception. Sentiment explains the meaning of the attention.
Related BigSentiment pages
- PR Monitoring Tools - Buyer Guide
- PR Sentiment Analysis - Use Case
- CisionOne Alternative - Comparison