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Glossary

Signal decay.

The gradual loss of value of a buying signal as time passes since the observed fact, because the situation it described has already evolved or been handled.

A buying signal describes a situation at a given moment. A person who has just arrived reviews what is in place; three months later, they have made their first choices. A job ad published yesterday describes an open need; the same ad three months later may describe a position already filled, or a hire that isn’t happening. Signal decay refers to this loss of value.

Different durations for different signals

  • New role: the useful window covers the first weeks, at most the first three months.
  • Job ad: a few weeks. Beyond that, check whether the ad is still active and whether the company reposted it.
  • Funding round: the effects last longer, but the reason for a message runs out fast. After the first month, rely instead on what the funding produced: hires, openings.
  • Post or interaction: a few days. Replying to a month-old post looks out of place.

What to re-check

Before using a signal, check the date of the fact itself, which often comes well before the date you saw it. Then check whether the situation has evolved: is the person still in the role, is the ad still open, has a more recent fact replaced this one?

Consequence for scoring

In lead scoring, the weight of a signal must decrease over time. A score that doesn’t age ends up putting accounts whose news has passed at the top.

Example

A salesperson spots a five-month-old new role on a profile updated late. Rather than writing “congratulations on your arrival”, they look for what the person has announced since, such as a post about their priorities or a hire in their team, and build the message on that recent fact.

See also: Buying signal, Trigger event, and Lead scoring.

Frequently asked questions

Is an old signal unusable?
It can no longer serve as the reason for a message, but it remains context. A funding round from six months ago explains a hire happening today.
How do you know the actual date of a signal?
Go back to the source: the original post or announcement. Re-publications, aggregators and profile updates can show a date well after the fact.
Should you remove old signals from your tracking?
No, date them. Tracking that keeps the date of each fact lets you understand an account’s history when a new signal appears.

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