According to a recent company press release, LogMyCalls’ new “Conversation Analytics” call tracking solution uses technology to extract valuable marketing and sales data during calls, allowing marketers to score the quality of phone leads in real time.
Conversation analytics uses speech recognition technology to identify words, phrases, intonation, volume, and silence on all calls. Based on the words and phrases used on the call, data is then pumped through algorithms that simultaneously analyze the conversation for useful indicators. The solution will then automatically determine if a caller was a good lead, assess the quality of agents, monitor compliance, determine sales readiness of prospects, track competitor mentions, track customer agitation, and even determine close rates.
Webhooks within LogMyCalls, triggered by Conversation Analytics data, automate actions within CRM, real-time bidding tools, marketing automation platforms, and mobile marketing tools. This solution could be invaluable to B2B marketers, as statistics show the primary objective of lead generation among B2Bs was improving the quality of leads, cited by 58% of respondents, followed by converting more leads to customers, at 55%.
Jason Wells, CEO of LogMyCalls, says in the press release, “We’re no longer merely a call tracking company Conversation Analytics takes the very traditional and old-school call tracking makes it obsolete. We’re actually analyzing call conversations in real-time. We’re telling you what prospects, customers, and sales reps say on the call. Businesses can now get this data without listening to a single phone call.”
LogMyCalls’ new call tracking solution extracts valuable data from phone calls using speech recognition technology, allowing phone leads to be scored in real-time according to the release.