Let\u2019s start with some quick math.<\/p>\n
150 \u2013 that\u2019s the average words per minute a person in the US speaks
\n10 \u2013 minutes in a theoretical early-stage sales call
\n1500 \u2013 number of words captured in this theoretical conversation<\/p>\n
That\u2019s 1,500 data points from just 1 phone call! And, in a scenario where the whole data capture process is automated by AutoPylot, that\u2019s a lot of value-add for virtually no additional overhead. Consider the amount of data points 1 salesperson can now capture in just a single day \u2013 it\u2019s probably upwards of 7,000, on a slow day.<\/p>\n
Now, assuming your salesperson was manually entering notes based on this theoretical conversation (that\u2019s assuming the note capture ever happens at all), you can likely expect a note that\u2019s less than 50 words long, especially considering the average salesperson already spends nearly 20% of their day on data entry, which means you\u2019ve potentially lost about 96% of the data somewhere in the VoIP-o-sphere.<\/p>\n
But it\u2019s more than word count. Ten times the data is just more data and more data doesn\u2019t necessarily mean better data.<\/p>\n
But that\u2019s where AutoPylot\u2019s Conversational AI comes into play. Adding a layer of in-depth analysis suddenly changes things \u2013 more data does, in fact, mean better data. And this better data can enable you and your team to rely less on hunches and expedite your overall sales process by allowing you to understand, in near real-time, what your prospects respond to.<\/p>\n
And again, all this phone call data capture and evaluation is fully automated \u2013 meaning no additional administrative burden for you or the team. So you and your team can get back to doing what you do best \u2013 closing the deal.<\/p>\n","protected":false},"excerpt":{"rendered":"
Let\u2019s start with some quick math. 150 \u2013 that\u2019s the average words per minute a person in the US speaks 10 \u2013 minutes in a theoretical early-stage sales call 1500 \u2013 number of words captured in this theoretical conversation That\u2019s 1,500 data points from just 1 phone call! And, in a scenario where the whole […]<\/p>\n","protected":false},"author":4,"featured_media":1114,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[1],"tags":[24,28,23,30],"yoast_head":"\n