Jiminny Features

Compiles data from a breadth of either internal or external sources.

Enables user to communicate data by securely exporting and sharing it.

Allows users to view data visualizations on several devices.

Dashboards which are customizable and interactive so that the user can view sales information in a way that fits his or her needs.

Enables user to segment customer or prospect data in meaningful ways such as by industry or region.

Provides scores or rankings of each prospect based on the data provided.

Provides insights to determine which deals already in the pipeline have the best chance of closing.

Warns sales teams of accounts that may be at risk of being lost.

Provides live customer data so that sales organizations forecasts stay current.

Updates every time a change is made enabling users to trace a deal through the pipeline.

Enables competition between a sales team by providing things like challenges and scoreboards.

Provides insightful data at the account level to arm salespeople with the most relevant information possible.

Enables sales managers to stay on top of their team activities by providing visibility into customer communication.

Organizes knowledge from fellow sales representatives and other experienced employees for reference.

Offers content and training for new hires within the tool.

Allows for the creation of a customized playbook that new hires can use for reference in understanding company-specific sales processes.

Records users' practice or live pitches for future reference and improvement.

Lets managers review recorded video pitches to discuss areas of skill and areas that require improvement.

Provides a scorecard to display team and/or individual performance.

Allows managers to utilize and snapshot scorecards to coach new hires and assign action items.

Projects team sales performance publicly to reward and motivate employees.

Updates sales data in real-time so as to help teams remain close to their goals.

Notifies users of company-specified "danger zones" to correct behaviors and re-align sales processes in the right direction.

Motivates employees by creating time-sensitive competititons that drive performance.

Records sales calls and facilitates playback

Utilizes machine learning technology to analyze recorded sales calls

Analyzes or facilitates the analysis of recorded and stored sales calls for insight

Leverages analytics to qualify and score calls in real time

Leverages technology to rate or "read" recordings to determine the impact of sales calls

Transcribes sales calls from speech to text

Utilizes artifical intelligence to analyze emotional tone and interactions in a conversation

Allows users to track how previous revenue forecasts have developed over time

Allows users to track pipeline to identify deals that are stalled, at risks and future opportunities

Reports results on revenue attainment, conversion rate, and overall revenue analytics

Allows users to view data visualizations on several devices

Enables user to segment customer or prospect revenue data in meaningful ways such as by industry or region.

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Provides users with ability to analyze weekly, monthly, and quarterly operational cadences to ensure success

Automatically associates calendar invites to update deal progress in a CRM

Automatically associates sales activities within emails to the relevant accounts in your CRM

Automatically associates sales activities within conversation intelligence tools to the relevant accounts in your CRM

Automatically links marketing leads to sales generated opportunities in your CRM

Automatically captures contacts engaged with and associates to relevant accounts in a CRM

Identifies accounts that sales reps aren't engaging with

Maximizes account coverage by determining the optimal number of accounts per rep

Identifies common themes among historical deals that are won or lost

Identifies common themes and actions amongst reps that close the most deals

Allows users to track the level of engagement with each account and provides insights on frequency of engagement

Identifies common themes among historical deals that are won or lost to provide insights into successful strategies

Condenses long documents or text into a brief summary.

Condenses long documents or text into a brief summary.

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Capability to perform complex tasks without constant human input

Connects to multiple software systems or databases to gather relevant context data for AI agents

Makes informed choices based on available data and objectives

Improves performance based on feedback and experience

Turns unstructured conversation data into clear, actionable insights for coaching, deal analysis, and operational improvement

Provides users with ability to predict upcoming forecast based on AI insights and deal health

Augments, improves or enriches CRM data

Gathers actionable insights from customer interactions for strategic decison making

Flags deals at risk, declined engagement, stalled opportunities, or other warnings in order to prevent issues from escalating

Coordinates and aligns on actions across sales, marketing, customer success, and RevOps in a unified platform

Surface insights from key deals, account signals, conversations, and win/loss patterns for offering data-driven coaching or feedback

Allows users to track pipeline to identify deals that are stalled, at risk, and future opportunities

Collects and organizes customer interaction data from multiple channels or systems