Not a hack, but a framework I follow.
Build the account universe.
Define signals (1P, 2P, 3P).
Build a scoring model based on how recently and how frequently the defined signals are firing, and score them positively or negatively.
Tier the scores into Hot, Warm, and Cold.
Then use IF hypotheses for stages vs. tiers.
Now we know exactly how many accounts are Hot, Warm, and Cold from our universe and target list. Because of the IF hypotheses, we also know the signal deficiencies at the Hot, Warm, and Cold tiers.
So plays can be designed for the deficiencies in these signals.
