Kaypo

Kaypo: deal scoring built on how your team wins

Kaypo's founder, Daniel Stone, spent more than a decade in revenue operations and go-to-market before building Kaypo in Denver, Colorado.

A rep's "90%" isn't a forecast

In pipeline reviews, deals sat open with no follow-up, and forecasts rested on a rep calling a deal "90%" minutes before the meeting.

Traditional deal scores only know what reps typed into the CRM, like the stage and the close date. Intent tools show which companies are researching a topic, but not which open deal it ties to, or whether it has ever mattered for that team. Kaypo combines the two.

Learning which signals matter for each team

Kaypo pulls a team's closed deals from the CRM and pairs each one with the Autobound signals on that account, like a new executive, a funding round or a hiring push. It then tests more than 3 million combinations of CRM activity and Autobound signals to find which ones showed up before wins.

Every morning, Kaypo scores open deals on the latest Autobound signals and CRM activity. Reps get a Slack message with the deals to work and the signal behind each one, like a new CFO at an account that just started researching forecasting software.

The same signals bring old deals back. When Autobound picks up new intent or a leadership change at a closed-lost account, Kaypo puts the deal back in front of the rep.

Outside facts across every industry

CRM history shows what a team did. Autobound shows what changed at the buyer: a new executive, a funding round, a hiring push, a surge in research on a relevant topic.

Because Kaypo's model spans 22 industries, it needed coverage that isn't tied to one vertical and reaches niche categories.

Signal API to live scores in about three weeks

Kaypo pulls Autobound signals through the Signal API and feeds them straight into its scoring model alongside each team's CRM data. Buyer intent, news, hiring, funding, LinkedIn posts and job changes come in for every account in the pipeline, so each score reflects what changed at the buyer, not only what a rep typed in.

Illustrative example of Kaypo's morning Slack message, with the Autobound signals behind each deal:

84% of the time, the won deal ranks higher

Across 22 industries, when Kaypo compares a deal that was won with one that was lost, it ranks the won deal higher 84% of the time.

Autobound's signals feed every one of those scores. When a buyer hires a new executive, raises a round or starts researching a relevant topic, the deal's score moves, and the rep sees why in the next morning's Slack message.

From open deals to the people behind them

• Contact-level signals, to show which person at an account is driving the activity.
• Testing more signal types from Autobound's 700+ catalog against past deals before they reach the live model.
• Weekly bulk intent exports as Kaypo scores more accounts.