All industries

What predicts a close in retail and ecommerce.

Fast outside the freeze, dead inside it. Time the pipeline, not the interest.

The argument

Retail technology buying compresses into two windows either side of a code freeze that runs from autumn through the holidays. Marketing and site behavior are genuinely predictive because these buyers evaluate the way they expect their own customers to. Buying process is the lightest of any pack outside professional services. Pipeline history carries real weight so that the freeze reads as timing rather than failure, and the going quiet signature is left near default because outside the freeze this segment does move fast and silence is meaningful.

The weights

Published, because a score you cannot audit is a score nobody trusts.

66% of the score comes from what the company does, 34% from what named people do. Within each side, these are the shares.

Company signals

Conversation intelligence
26%
Third party intent
26%
Pipeline history
24%
Buying process
24%
Anonymous site visits
0%

Person signals

Site behavior
32%
Marketing engagement
26%
Meeting behavior
24%
Responsiveness
18%

See it against a real pipeline.

The demo loads with these weights. Move them and watch the deals reorder.