Technologies
Stack used for monitoring
Implementation
Round-the-clock conversation monitoring
Results
Client outcomes after rollout
Technologies
Technology links
- Telecommunication eCommerce: Magento
- Affinity Insurance’s Chat Technology:
- Germain RUM JS and Engine
Implementation
Here’s how long it took us and our client to 1) have Germain monitor conversations in real-time 24x7, and 2) get a first set of consumer insights and friction points.Results
This is how Germain now works, 24x7, for this Affinity Insurance Provider:Example of Real-time Insights:
For Business Ops
- The client just asked for help. Next, the client types what they need using Germain’s feedback popup:

- Feedback shows up on a Table Portlet/Aggregate Dashboard to gain insight into trends and volume (stored as “User Session Replay” KPI and “Feedback” KPI):

- You can see individual comments/feedback that clients provide:

- And you can SEARCH for a keyword, such as “clients that asked about iPhones”.

- Germain detects clients that are considering cancelling but have not cancelled yet. Next, we email/SMS the Client Service Team with the client details (contact info, contract number, possible reason for cancelling) – all in real time. The Client Service Team member can then reach out to offer more help (better plan? discount?).

For Marketing Team
- See Campaign and Landing Page performance at a glance:



For UX Team
- Qualitative Feedback is provided in real-time
- User Behavior Insights at scale on a flow graph helps understand drop-off trends

For DevOps Team
- Among millions of possible errors, most can be ignored. Germain pinpoints errors that directly affect consumers.

- For example, “There was a problem starting the chat session.”
-
Or “oups, une erreur s’est produite”


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