Your best customers
are no accident.
There are patterns that turned a customer into an A-account. boostpilot.ai detects them and applies them to the rest, so that B and C become more.
Repeat success,
instead of admiring it.
Most sales teams know their A-accounts. Few know what made them A-accounts: which product steps, in what order, at what pace. boostpilot.ai reads these patterns from the order history and lays them over your remaining customers.
Where a B-account is at the start of the same pattern, you know what comes next.
Six angles on the
same customer base.
Upsell potential
Customers with a high propensity for complementary products.
Contact window
when a customer is ready for the next step.
Churn risk
attrition signals before the customer leaves.
Potential clusters
segmentation by growth instead of revenue history.
Whitespace
which products fit the profile but are not bought yet.
Digital twin
the 360° profile of a customer as a search pattern.
Five order patterns,
read from history.
Technically, boostpilot.ai detects five recurring patterns in the order data. The first three are growth, the last two are a warning.
Ramp-up
The ramp toward serial production.
Shorter intervals
Orders move closer together.
New family
First order of a new product line.
Below baseline
Volume drops below the customer's own level.
Mix downgrade
Switch to the cheaper variant.
Staying honest: patterns measure the current state against your own history, with no assumption about industry cycles. But they lag: an order has to have happened. When the next window opens is not told by the pattern, but by the Prediction Engine.
On to the Prediction Engine →Which patterns sit in your customer base?
With your order history we show which patterns connect your A-accounts, and which B-accounts are at the start of the same path.
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