Continuation from yesterday’s article about ZoomInfo Workflows (Part I).
ZoomInfo hinted at an even broader vision of automated lead qualification and workflows in a recent blog that listed four categories of qualifying data:
ZoomInfo does not support programmatic advertising, chatbots, or Slack notifications, so there is significant running room for product development, particularly around expanded intent. For example, a recent study by XANT found that inbound lead response rates decay quickly, but reps fail to respond promptly, and many fall between the cracks. The study analyzed three years of inbound leads at over 400 companies. XANT looked at 5.7 million inbound leads and found that 57.1% of first call attempts took place after a week or more, and only 0.1% of inbound leads were responded to within five minutes. However, firms that responded within those first five minutes had an 8X conversion rate versus later return calls.
“Maybe we simply didn’t realize what we were leaving on the table,” wrote XANT. “Maybe we over-rotated on targeted ABM strategies at the expense of speed-to-lead. Marketing automation shouldn’t replace meaningful and quick sales engagement.”
XANT proposes a second problem that slows lead response times: the manual assignment of leads to individuals, resulting in two sets of delays – the lead routing process and the sales reps’ ability to respond quickly when a batch of leads is handed to them.
Tying inbound leads (emails, webforms, chatbots) to workflows is the next step beyond enrichment. It allows for immediate lead scoring, assignment, and routing decisions, speeding up the response rate while determining each lead’s best course of action. The Trigger / Filter / Action methodology for intent and event-based leads fits perfectly with these other inputs. Furthermore, Chatbots and FormComplete often gather a few extra qualifying details that would be filter inputs.
“There is perhaps no greater need than for sellers to be calling on the right people at the right time,” said SalesTech analyst Nancy Nardin. “Fortunately, the level of accuracy and timeliness of data has improved by leaps and bounds with the emergence of AI, and improved data collection, cleansing, and enrichment.”