After months of hard work, we are excited to announce the release of Automatic Opportunity Detection feature for Grace. This new functionality will allow your sales team to collect the sales data across the org and automatically split it between Opportunity objects inside your CRM. With all the opportunity-related data properly stored and organized in one place, your team will no longer have to second guess the status of each deal.
For the past few months our dev team has been working on the roll-out of the sentiment analysis feature for Grace. In basic terms, sentiment analysis is the process of determining whether a piece of writing is positive, negative or neutral by using natural language processing, text analysis and computational linguistics. From companies using sentiment data for monitoring consumer perception, to public figures and celebrities leveraging the power of sentiment data for impression management, sentiment analysis is all around us; from social networks to online stores to chat bots. Now, Grace is integrating sentiment analysis features into its product to simplify the daily management tasks of its users.
It's hard to understate the importance of prospects' and clients' email signatures for salespeople. Not only do they contain a client's contact information; email signatures can also be an effective tool to track the changes in the positions and roles they hold. In short, having your clients' latest contact information is critical to the well-being of your sales operations.
One of the common problems with capturing historic sales communications is caused by the time gap, occurring between the first interaction between a prospect and a sales rep taking place and the contact (lead) for that prospect getting created inside the CRM. The longer the gap, the more prospect interactions a company is running the risk of missing on. Unless a sales rep goes back and manually saves all prior communications after the appropriate CRM entity has been created, all these interactions will be forever lost in mailboxes of individual sales reps.
Ever wondered how much it costs your company to keep the CRM up to date? In this post, we help you better understand the price of the manual CRM data entry. Keeping CRM up to date is a necessary, but costly activity. Your average sales rep spends over 1.5 hours each day maintaining the CRM (creating and updating records, capturing emails, etc.). Wasted sales time results in significant losses and missed opportunities over time as this time could be better spent meeting with potential and current clients.