Your scoring model defines how we score and enrich the accounts in your active account list. This model populates the tier, overall fit, individual score, and signal fields in Keyplay.

The scoring model applies to accounts both within and outside your SAM. You can build and update your scoring model by clicking your account name in the top right corner, then Account Scoring, in your Keyplay account as shown here:

​

From there, you’ll be able to add/remove signals, customize signal weights, and see the math on a real account as you tweak and tune.

You can specify if a signal is positive or negative. Positive signals add points to a specific account when found, and negative signals lose points on an account when found. Drag the relevant signals into each bucket in order to add them to your model.

You can also change how signals are weighted in your model. Signal weighting gives you the ability to change how much a specific signal counts towards your overall scoring.

When you click on Customize Signal Weights in the top right of the account scoring window, you'll be able to update the weighting on both your positive and negative signals.
​

Click into either positive or negative signals to update the weightings:
​

Signals can have a weighting of anywhere from 1x to 20x. We suggest that signals which are most significant to your ICP have a higher weighting, while signals that are less significant to your weighting have a lower weighting.
​
​

You can choose how lookalikes contribute to your scoring model by choosing the score mode you want to use as shown here:
​

You have three different options for how lookalikes contribute to scoring:

You can also test your model in real time by inputting example accounts in the live preview feature and checking the score, the signals matched, and how the signal weighting translates into the number of points an account receives.

​
​
​
​