Zoom Revenue Accelerator (ZRA) provides analytics and report data for numerous metrics. This enables Zoom Revenue Accelerator end-users and managers to review these metrics across their team, providing potential insights into trends and issues of their conversation techniques. This article goes into more detail about the various metrics and analytics, so you can better understand and use this data.
Note: Metrics and analytics are provided for informational purposes and may contain inaccuracies. Results are not intended to be used for employment decisions or other comparable decisions. All recommended ranges for metrics are based on publicly available research. Learn more about customizing recommended ranges for conversational metrics.
This article covers:
After you choose to add metrics to My Analytics, you can view the saved metrics in the My Analytics tab.
The Advanced Filters allow users to specify scope, deal stage, CRM components, and activities, and save this customized view for future use.
This shows the average number of words spoken per minute by the speaker. Each user’s rate of talking speed allows teammates and managers to determine whether the sales rep is talking too fast or too slow during meetings. Ideally, the sales rep should keep the talking speed within a specific range to help keep the meeting moving while still being understood. Based on this data, the sales rep and managers can work to increase or decrease their talking speed to improve this meeting skill. Talking speed reports can be created for the user level, individual conversation level, or only part of an individual conversation.
Talking speed tends to drop when the speaker is conveying highly technical information to improve comprehension. Research also suggests that “listenability” also increases when a speaker takes more frequent and longer pauses on average. Even more, reason to be sure you are breathing steadily when pitching to customers and prospects!
Recommended range: A talking speed between 110-160 words per minute.
This shows the average percentage of total time when the speaker was speaking. The talk-listen ratio of each user allows teammates and managers to view the proportion of time the speaker is actively speaking in a meeting and also how well the speaker is able to engage the customer or prospect to participate. Using analysis of data across multiple sales reps, deals, and conversations, managers can get an ideal pattern of this talk-listen ratio, which can be used to adjust their strategies to improve the deal closing rate.
Our research indicates that this ratio fluctuates based on the type of information conveyed in addition to the role and relationship of the speaker to their audience. For example, while conversations involving a senior executive or a more technical topic can require more air time from the speaker, that’s not always the case. It is clear that higher ratios indicate that the speaker is not allowing enough time for their audience to voice needs, concerns, questions, and suggestions, which is critical to productive conversations.
Note: How the Talk-listen ratio recommended range is measured will differ based on the number of internal participants in the call.
This shows the average number of filler words used per minute by the speaker. Filler words, such as ah, um, and hmm, can indicate that the sales rep needs to be more familiar and confident with what they are saying. Interestingly, studies found that using filler words excessively, as well as not using any filler words, can diminish a speaker’s credibility. Managers can locate these meetings or sales reps who use too many filler words and work to improve their conversational or product confidence.
Zoom Revenue Accelerator tracks the number of filler words used every minute.
Recommended range: 0.6-3.0 filler words per minute (6-30 filler words per 10 minutes)
This shows the duration of the longest speech segment of the speaker. A spiel, or monologue, is being the only participant speaking for a length of time, which can discourage others from participating in the conversation, impact listener comprehension, and cause fatigue. This data can help managers coach sales reps into being more aware of how much time they are speaking at once and creating pauses for questions or comments.
The recommended maximum for a monologue varies, depending on the topic you are presenting on or question you are answering, but recent research suggests that stopping intermittently to ask questions boosts overall learning and retention in the educational sector.
Recommended range: Avoid monologues that last more than 2:30 minutes to increase the interactivity of the call, promote engagement, and lead to better sales outcomes.
Patience reflects how much time between a question and the respondent’s answer. This can indicate how much patience is given to potential clients, which can affect the deal’s overall progress and outcome. This can be reviewed and coached to help sales reps improve their ability to control the pace of conversations.
Zoom Revenue Accelerator measures patience in seconds.
Recommended range: Waiting between ½ and 1.5 seconds for the customer to respond.
Zoom Revenue Accelerator conversation analytics provide valuable insights into how your sales team engages with clients during Zoom meetings.
The total number of all recorded conversations and the metrics are displayed.
The average duration of all recorded conversations and the metrics are displayed.
Engaging questions posed by the sales representative can keep customers interested in the deal or conversely lead to a higher abandonment rate of potential customers. Teammates and managers can use this data to track the sales reps that use fewer good questions during meetings and deals, to suggest more engaging questions to use.
Zoom Revenue Accelerator measures the level of meaningfulness of questions by the response duration, meaning a longer response to a question is indicative of a more engaging question.
Recommended range: 3-8 engaging questions per conversation
Zoom Revenue Accelerator enables easy identification and tracking of Good Questions asked by sales representatives, internal participants, and customers, offering a valuable tool for capturing and leveraging insightful contributions during meetings.
An effective meeting should have clear next steps with action items or conclusions. A lack of a next steps plan may cause a disconnect between the sales rep and potential customers. Sales reps can use this report to ensure they set up next steps from their meetings or review to catch any missed next steps from their personal notes. Managers can use this to coach sales reps on effective next steps planning.
This is displayed as a percentage of the next steps set up for each meeting.
Sentiment provides sales reps and managers with a way of assessing the customer's sentiment. This is based on the entire meeting’s analysis and mainly focuses on the sentiment of the conversations, with higher scores indicating a more positive effect and scores around 50 indicating a neutral sentiment.
Engagement is based on various factors, including talk-time ratio, response time lag, and frequency of speaker changes. These are used to estimate how engaged a customer or prospect is throughout the entirety of the conversation.
The sentiment and engagement scores range between 0-100, with higher scores indicating a higher engagement or sentiment.
Recommended range: A sentiment score greater than 61 and an engagement score greater than 50.
The average engagement score across all recorded conversations and the metrics are displayed. Engagement score is based on various factors, including talk-time ratio, response time lag, and frequency of speaker changes. These are used to estimate how engaged a customer or prospect is throughout the entirety of the conversation.
The sections below break down each available analytic for deals, combining deal data from integrated CRM with meeting metrics.
This data analysis can show the best pattern for a deal and determine whether to have too many or too few meetings for specific types of deals. Based on the analysis, managers can adjust their strategies to provide a better sales experience and improve the deal close rate.
Your default view consists of data from the past 3 months for your team, and ranks the number of conversations logged per deal, sorting them from highest to lowest. Other filters can be applied to change the data you are reviewing.
This data analysis tracks the length of meetings (too long or too short) for a specific type of deal and can be used as insight to improve their deal closing rates. Based on the analysis, managers can adjust their strategies to optimize their sales reps workload and time management.
Your default view consists of data from the past 3 months for your team and ranks the sum of conversations needed for each deal. Other filters can be applied to change the data you are reviewing.
Zoom Revenue Accelerator Indicator identifies specific words, phrases, or sentences in your recording transcripts so you can capture critical moments in your conversations.
You can choose between the following categories to efficiently organize your indicators:
Learn more about Zoom Revenue Accelerator Indicators.
Track the usage of Zoom Revenue Accelerator involves monitoring various metrics such as conversation views, comments, scorecards, and moments.
Conversation views refer to the number of conversation viewing sessions per rep. It shows the number of viewing sessions and unique conversations viewed.
Provides the number of comments made by a user. It can provide valuable insights into a user’s level of engagement and understanding of the content.
Provides the number of scorecards filled out by a sales manager.
With the usage report for moments, users can track the number of moments created and their popularity. They can review metrics such as the number of unique moments created, the total number of views, and the top moments by view count across all users, per team, and per member.
Provides the number of moments or conversations shared or created by a user. Sales managers can use this information to identify the reps who are most effective at sharing and creating content and to provide feedback on the quality of the shared/created content.
View the average scores for reps or teams evaluated based on selected scorecards.