Meltwater works for PR/comms agencies and mid-to-large brands; for early-stage startups, Google Alerts + spreadsheet is enough.
About
In practice. What you can do with Meltwater.
Meltwater monitors over 6 million media sources with real-time alerts, journalist identification and predictive mention analysis. No price is published: every quote depends on the chosen modules (media monitoring, social listening, influencers), user count and geographic coverage.
Real amounts paid range from $6,000/year for a Starter tier to over $150,000/year at Enterprise, with a median around $25,000/year per B2B buyer data. This is sized for a company with a structured comms budget, not a freelancer or small team.
Practical uses
Monitor brand mentions and manage media crises in real time.
Build contact database for PR outreach.
Measure PR campaign impact and media coverage.
Features & use cases
Consulting workflow
Pros and cons. What Meltwater does well, and what to expect.
Pros
Global coverage: 150M+ media and social sources.
Accurate sentiment analysis and crisis detection.
Rich media/influencer contact database.
Flexible modules: fit comms or influencer needs.
Pricing is negotiable depending on the scope agreed.
Cons
Opaque, quote-only pricing positioned at the high end.
Notable learning curve to maximize the tool.
Best ROI for teams with high mention volume.
When it makes sense. Keep Meltwater, or challenge it?
Keep if
You manage comms/PR for a brand or agency.
You need to track brand mentions 24/7 across media.
Meltwater becomes worthwhile when
+You use it at least once a week
+The monthly cost ($438) is small next to the time it saves you
Challenge if
You're looking for a free or very cheap solution.
Your media mention volume is very low.
Meltwater becomes too expensive when
−You use it less than once a month
−A simple free version or a tool already in your stack would do
Our verdict. What to know about Meltwater.
Why this verdict
Average
Meltwater is fairly easy to replace with an alternative, no free tier to test before paying, clearly documented use cases.
