Customer story
Cutting Support Volume by 66% for RateMyAgent’s Customer Experience Team
When RateMyAgent set out to replace unreliable calling tools, they chose CloudTalk for its seamless HubSpot integration, reliable call quality, and built-in conversation analytics.
Not long after, RateMyAgent released a new feature, causing a spike in support volume: confused customers flooded support with calls, chats, and emails. Instead of guessing what went wrong, the team used CloudTalk’s Conversation Intelligence to quickly identify pain points, update help documentation, and clarify email comms. In just three weeks, they reduced related support calls by 66% and saved hours of team time, proving the power of acting on real-time insight.
What did RatemyAgent achieve with CloudTalk?
66%
Reduction in calls related to the feature
25%
Drop in related chat/email queries
4 hrs
Support time saved in three weeks
Challenge
After launching a new product feature, RateMyAgent’s support team was overwhelmed by calls, chats, and emails. Help docs were in place, but key customer questions were still slipping through.
Solution
Using CloudTalk’s Conversation Intelligence, the team quickly identified trending topics and pain points. They updated help documentation, refined marketing emails, and trained their team using real call data.
Results
Within just three weeks, RateMyAgent reduced calls related to the feature by 66%, cut chat and email volume by 25%, and saved 4 hours of support time—all from analytics.
About RateMyAgent
RateMyAgent is a leading digital marketing platform for real estate professionals. Based in Melbourne, Australia, the company helps agents grow their reputation and visibility through verified reviews, automated testimonials, and social proof campaigns. The platform supports real estate agents, agencies and mortgage brokers across Australia, New Zealand and the United States, while simultaneously helping consumers find the right agent or mortgage broker to work with.
We spoke with Madeline Moloney, Customer Experience Manager (Global) at RateMyAgent, about how her team uses CloudTalk to improve customer experience and reduce support volume.
With a globally distributed support and sales team of 35–40 people, the company needed a communication platform that could flex across time zones, integrate seamlessly with HubSpot, and provide clear insight into what was actually being said on customer calls.
The Breaking Point: Call Quality, Missed Support Windows, and Integration Friction
Before CloudTalk, RateMyAgent had tested—and abandoned—a number of other tools: Aircall, Kixie, Dialpad, and even physical handsets. Said Madeline,
Even worse, when things went wrong, their providers couldn’t offer answers.
Madeline also struggled with clunky setups, devices not connecting, and random mic issues that required daily troubleshooting.
Choosing CloudTalk: A Spreadsheet, a Certified Integration, and a Gut Feeling
Determined not to make the same mistake again, Madeline took a rigorous approach to vendor selection.
Her non-negotiables included:
- SMS support in AU & US
- Certified HubSpot integration
- Reliable call recording
- Mobile + desktop apps
- Local server infrastructure
- Flexible call routing (IVR, custom flows)
- AI capabilities and real-time analytics
- Dedicated support and account management during AU business hours
CloudTalk stood out by checking every box, and delivering right out of the gate.
Why Conversation Intelligence Mattered from Day One
For Madeline, the promise of AI wasn’t about buzzwords, it was about real, usable insight.
From the start, she saw the potential of AI Conversation Intelligence not just for tracking call volume, but for coaching, quality control, and feedback loops.
When a Feature Launch Sparked a Support Spike
A few months after onboarding, the team launched a new product feature, and almost immediately, the support queues lit up.
The support team had already published help articles and trained their AI chatbot to guide users, but something was missing.
Turning Conversation Intelligence Into a CX Shortcut
To avoid sifting through dozens of transcripts manually, Maddy turned to CloudTalk’s Conversation Intelligence tools. She filtered for calls between the feature’s release date and the following three weeks, and used call summaries, topic trends, and sentiment analysis to pinpoint exactly what customers were confused about—and how often it was happening.
She focused on topics with neutral or negative sentiment to isolate areas of friction and gathered a clean list of high-frequency questions.
From Analytics to Action: Fixing Docs and Clarifying Messaging
With the insights in hand, Madeline took two immediate steps:
- Expanded the help center with new Q&As tailored to the exact language customers were using
- Worked with the marketing team to clarify email messaging that had caused unnecessary confusion
What Happened Next: Results in Just 3 Weeks
By comparing the three-week period after implementing the changes to the three weeks prior, Madeline was able to clearly measure the impact:
- 66% reduction in support calls about the feature
- 25% drop in chat and email queries on the same topics
- 4 hours of support time saved in just three weeks
- Improved email clarity and fewer follow-ups
- More targeted internal coaching based on real call data
Long-Term Gains, Powered by Customer Insight
Although Madeline plans to continue tracking results over time, the early success has already proven the value of acting on real-time insights from customer calls.
CloudTalk is a data-driven solution for exceptional customer experience and intelligence is a key part of it.
Schedule a demo today and find out for yourself.

