Next Best Action
Commercial teams work from segments and targets. Neither tells them what this customer needs next.
Recommendations based on product categories rather than individual behaviour produce flat cross-sell rates and churn that is only detected after the account is already lost.
+15%
increase in cross-sell effectiveness at point of sale
-20%
reduction in customer churn, detected and addressed before accounts are lost
Weeks
to first working recommendations delivered into your commercial team's CRM
WHAT IT DELIVERS
A specific action for every sales visit. A measurable outcome for every cycle.
Ranked by conversion probability and margin impact. Based on what each account already buys, what they are missing and what the data says they are most likely to adopt next.
Behaviour patterns that precede churn are visible weeks in advance. The account manager receives a recommended action, not just a warning.
New references are directed at the accounts most likely to adopt early, based on portfolio fit and buying history. Each cycle compounds the next.
Each accepted or rejected recommendation feeds back into the model. The system gets sharper across markets and product ranges over time.
What the organisation gains
01
Every commercial interaction becomes a data-backed decision. Cross-sell rates improve because every recommendation is based on real account behaviour, not the experience of an individual rep.
02
Early signals surface before the account is lost. Account managers intervene at the moment it makes a difference, with a clear action to take.
03
Launch targeting improves with every cycle. The data each launch generates makes the next recommendation sharper, across markets and product ranges.
Connected to existing systems. Live in weeks.
The numbers, conservatively phrased
-
+15%
Increase in cross-sell effectiveness at point of sale
Pending BD sign-off for publication.
-
–20%
Reduction in customer churn
Detected and addressed before accounts are lost. Pending BD sign-off for publication.
-
Weeks
To first working recommendations
Delivered into the commercial team’s CRM from go-live.
Where NBA creates the most commercial impact
Cross-sell and retention depend on individual behaviour, not generic scoring. NBA builds a model per client at every stage.
Fragmented points of sale make opportunities hard to prioritise. NBA turns every visit into a targeted revenue conversation.
Large catalogues and relationship-driven sales create complex commercial decisions. NBA identifies expansion and churn risk across every account.
Cross-sell and retention depend on individual behaviour, not generic scoring. NBA builds a model per client at every stage.
Fragmented points of sale make opportunities hard to prioritise. NBA turns every visit into a targeted revenue conversation.
Large catalogues and relationship-driven sales create complex commercial decisions. NBA identifies expansion and churn risk across every account.
Ready to turn every sales visit into a revenue opportunity?
Request a demonstration using your own commercial data. We work with consumer goods, retail and distribution organisations across Europe and LATAM.
