Numerous users asked us to have access to a deep analytics feature regarding Crisp software and we are proud to say that it's live ! We've adapted Analytics so that you can easily find where you should improve and how things are going regarding your users : no vanity metrics, only actionable data. Let's have a look at the new features we have built and the amazing job the team has done.

Messaging

Messaging is a core feature for Crisp so we felt it was something we have to work on in order to bring value to our users.

For the messaging analytics, you are now able to monitor :

Global conversations activity of the week compared to the previous week regarding :

- Conversations number

- Average mean response time

- Website Visitors

Conversations activity by hours, days, weeks and months filtered by new and existing conversations
Operators leaderboard by week and months based on conversations number.
Supports responsiveness by hours of the week
Assigned segment to users by hours, days, weeks and months filtered by kind of segments
Most used shortcuts by hours, days, weeks and months
Assigned conversations by hours, days, weeks and months filtered by operators
Fired triggers by hours, days, weeks and months filtered by triggers

Contacts

Existing users and new leads are Crisp's basis as we always want to help you at enhancing your pipeline creation rate so here are what you can now monitor :

Visitors location heatmap by hours, days, weeks and months
Website visit calendar per day and hours of the week
Created contacts by hours, days, weeks and months

Ratings

Customer ratings are a big mean for every business and as a part of our software, we wanted to increase company's knowledge about customers satisfaction.

Average rating rate by hours, days, weeks and months
Last ratings and comments by weeks

Campaigns

Emails and chat box notifications are very helpful while serving the customer journey so we wanted to give you insights about this.

Sent emails campaigns by hours, days, weeks and months filtered by campaign types
Campaigns emails activity by hours, days, weeks and months, filtered by clicked links, emails opened, unsubscribed users, email bounce and delivered emails

Helpdesk

Helpdesk's data is a great metrics because it gives you immediate knowledge on what topics are creating the most value for your users. Here is what you can look at :

Read articles by hours, days, weeks and months filtered by articles

Status

Status has been made to watch for downtimes and availability. Right now, you are able to see your statistics.

Downtimes by hours, days, weeks and months filtered by the kind of infrastructures
Latency by hours, days, weeks and months filtered by infrastructures