How does Pelago predict which accounts are likely to buy soon?
Pelago forecasts emerging demand by recognising behavioural patterns that signal readiness.
Pelago’s predictive modelling is built on recognising recurring signal clusters that historically precede buying activity.
By analysing patterns in research behaviour, hiring trends, content engagement, and industry conversation over time, Pelago identifies the markers that tend to appear before a company enters an active buying cycle.
It also considers seasonality and historical behaviour trends, learning how different industries behave at various times of the year.
For example, if multiple companies in a sector consistently increase engagement with cybersecurity topics in Q3, Pelago uses that pattern to anticipate a similar rise in interest the following year.
This modelling enables proactive targeting, helping to identify accounts likely to buy soon, so campaigns can engage earlier and with messaging tailored to upcoming needs.
You may be wondering: