Let’s start with some quick math.
150 – that’s the average words per minute a person in the US speaks
10 – minutes in a theoretical early-stage sales call
1500 – number of words captured in this theoretical conversation
That’s 1,500 data points from just 1 phone call! And, in a scenario where the whole data capture process is automated by AutoPylot, that’s 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 – it’s probably upwards of 7,000, on a slow day.
Now, assuming your salesperson was manually entering notes based on this theoretical conversation (that’s assuming the note capture ever happens at all), you can likely expect a note that’s less than 50 words long, especially considering the average salesperson already spends nearly 20% of their day on data entry, which means you’ve potentially lost about 96% of the data somewhere in the VoIP-o-sphere.
But it’s more than word count. Ten times the data is just more data and more data doesn’t necessarily mean better data.
But that’s where AutoPylot’s Conversational AI comes into play. Adding a layer of in-depth analysis suddenly changes things – 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.
And again, all this phone call data capture and evaluation is fully automated – meaning no additional administrative burden for you or the team. So you and your team can get back to doing what you do best – closing the deal.