I always hear RevOps being equated to Moneyball for business. But I’m more of a soccer guy myself.
If you follow soccer, you’ll know that over the last few years there’s been a revolution in data analytics that is changing the way the game is played.
This shift occurred after the introduction of “Expected Goals” or xG. xG is a numerical value applied to any play’s probability in resulting in a goal. With 1 being the most likely to score and 0 being the least likely to score.
A shot from 30 yards out may have a .05 xG, while a shot from 6 yards into an open net would have a .97 xG. This has led to teams prioritizing patterns of play that have the highest yield xG.
I wonder if this same principle can be applied to business with a large enough history of clean sales and marketing data.
Some people might say this is similar to lead scoring, but I disagree. I see this more as way of identifying which of your GTM motions are most likely to result in closed won, not a way of evaluating which leads are most likely to convert.
This will help companies nail down their highest yield procedures and implement consistent GTM plays.
Maybe I’m just rambling, but there’s gotta be a way to make a custom “xG” for each company’s GTM motions.
What do you think is the closest thing to xG for businesses?
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