DemandVerified™ / Signal Recency

Yesterday’s intent is not always today’s demand.

How recently a relevant action occurred, considered alongside the buying cycle.

Recent activity may deserve attention before behavior from months ago, but useful windows vary.

What do you do with it?

Explore how the intelligence is evaluated →
  1. 01Signal
  2. 02High-relevance window
  3. 03Declining recency
  4. 04Historical behavior
01 / Signal Recency

Observation time differs from delivery time

A newly delivered file can contain older observations. Ask when the signal occurred, when it was processed, and how much delay exists before the team can act.

02 / Signal Recency

Different decisions have different windows

A fast replacement need may become stale quickly. A long-consideration purchase may involve repeated research over a longer period. Neither supports a universal expiration rule.

03 / Signal Recency

Define the useful window

Consider industry, purchase cycle, signal type, customer value, research cycle, repeat behavior, and activation channel. Document how stale records are handled and what renewed activity means.

04 / Signal Recency

Refresh the interpretation

New activity can add context, but repetition is not automatically stronger intent. Compare recency groups against outcomes where the data permits; do not claim a universal decay period without supporting evidence.

Continue exploring

Ready to apply it?

Your market. An informed next move.

Define your offer, geography, available data, and intended channels. We’ll scope the intelligence and activation options for your program.

Build a Recency Strategy ↗

Signals indicate potential commercial relevance—not certainty that an individual will purchase. Coverage, permitted destinations, and refresh availability vary by program.

Your market is already generating signals.

The question is whether you can see them.

Tell us what you sell and where you sell it. We’ll help determine which demand intelligence approach fits the question.

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