Next-Best-Action · Insight

From Theory
to Deployment.

Not a CRM feature, a call sequencing algorithm, or a contact frequency optimisation tool — the most common implementations marketed as NBA, and systematically underperforming because they optimise for the wrong objective.

4Data Prerequisites Before Deployment
1BCB-Aligned Objective per Model
1Continuous Feedback Loop

Where NBA Actually Fails

NBA deployment fails more often at the data layer than at the model or technology layer. Four data prerequisites must be validated against the real data estate before deployment — not after.

01
Undefined Objective
Most NBA systems are deployed without a precisely defined behavioral objective — so the model optimises for whatever is easiest to measure, not what the strategy actually requires.
02
Unstructured Content
Even an accurate propensity model has nothing useful to recommend if the content library beneath it was never built to be modular or tagged for assembly.
03
No Feedback Loop
Recommendations that are never checked against actual outcomes cannot improve — the system stops learning the moment it ships.
Key Insight
“NBA is not a technology purchase. It is a behavioral objective, a modular content library, and a feedback loop — the technology is the least difficult part.”

Read the Full NBA Architecture

The complete Next-Best-Action article covers propensity modelling, field deployment, and the data prerequisites in depth.

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