How can AI algorithms assess and prioritize leads based on their likelihood to convert?
As your sales team interacts with prospects, it generates a wealth of information and insight through data from emails, calendars, call transcripts, and more. This sales data includes information like 'which persona engages with which messages', 'when is a good time to call them', and 'how urgent is their need'. Because SetSail AI is gathering this information across many data points, it can provide much deeper analysis about your prospects and which are most likely to be worth following up with. That can allow you to prioritize your leads and get the right team members working on them. Plus, with SetSail's meeting preparation tools, you can get the context for your next follow-up through instant summaries of the current state of play for any prospect. No more looking through emails and call transcripts. That makes the handoff between a Sales Development and Account Executive team much more efficient.
Similar questions
How do AI technologies enable personalized communication and tailored sales approaches for individual prospects?
Top sales people know that in order to have personalized communication with your prospects, it is critical to know their current context. But how do you get that context if you're dealing with a complex, enterprise sale? You need to assess every email, call transcript, and other data point to know the context in order to provide intelligent feedback to your prospect. AI makes that easy by summarizing all the information about your deals from across all of your go to market teams and tools. You get insight into which personae are most engaged with you, what messages matter to them, what are their biggest risks, and more. That can allow you to effectively tune your sales messaging to suit the true needs of your prospects.
What is a general overview of how artificial intelligence is being applied in the sales domain?
We at SetSail are passionate about the application of AI to make sellers both more efficient and effective. In fact, we wrote a longer resource on it here. But to summarize, there are two main ways that we think it will help sellers. First, through efficiency. Second, through effectiveness. From an efficiency perspective, AI sales tools will help automate actions that used to require significant manual effort. Whether that is logging sales activities in the CRM, analyzing call transcripts for insights, generating new reports to support your pipeline call, or other tasks, AI and in particular SetSail's AI, can automate that. From an effectiveness perspective, AI can make sellers more effective by uncovering what sales activities are most connected to winning deals and then recommending next steps for the sellers to take. But critically, these aren't generic recommendations like "you should multithread". These are specific recommendations built on analysis of your specific sales process and across all of your sales activities.
How do AI-powered analytics tools provide insights into sales performance and areas for improvement?
SetSail AI captures rich insights into every deal, account, and interaction with prospects. That insight is analyzed and compared against the behaviors of top sellers and closed won sales pursuits. As a result, SetSail identifies the signals, metrics, and milestones that matter. Sales leaders can monitor how well their sales reps are tracking toward these "real" leading indicators. If a deal is not progressing as expected, or a seller isn't doing the right kinds of activities, leaders can spot the problem early and correct it. Plus, because SetSail AI pushes insights to sellers as needed that allows sellers to get recommendations on next best steps so that they can move deals forward more efficiently. And sales leaders can get the alerts they need to stay on top of even large teams of sales professionals.
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