[IMP] crm: add equation explanation in leads doc
closes odoo/documentation#9690
X-original-commit: 96f3a3e846
Signed-off-by: Zachary Straub (zst) <zst@odoo.com>
Signed-off-by: Parish Bracha (pabr) <pabr@odoo.com>
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@ -30,6 +30,20 @@ Specifically, Odoo's predictive lead scoring uses the *naive Bayes* probability
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P(A | B) = \frac{P(A) \times P(B | A)}{P(B)}
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P(A | B) = \frac{P(A) \times P(B | A)}{P(B)}
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\end{equation}
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\end{equation}
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Breaking down the equation:
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- P(A|B) = The probability of a successful lead *in this case*
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- P(A) = The overall probability of a lead being successful regardless of the conditions
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- P(B|A) = The probability of this being the case given a lead is successful
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- P(B) = The probability of this being the case
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The term *in this case* refers to the variables that can affect a lead being successful in Odoo.
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This can include variables such as the assigned Salesperson, the source of the lead, the language of
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the lead, and other historical and demographic data.
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Which variables are considered in this calculation can be :ref:`configured
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<lead_scoring/configuration>` to tailor the calculation to each business's needs.
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The probability of success of each opportunity is displayed on the opportunity form, and it updates
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The probability of success of each opportunity is displayed on the opportunity form, and it updates
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automatically as the opportunity progresses through the CRM pipeline.
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automatically as the opportunity progresses through the CRM pipeline.
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@ -40,6 +54,8 @@ automatically as the opportunity progresses through the CRM pipeline.
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When an opportunity moves to the next stage, its probability of success automatically increases
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When an opportunity moves to the next stage, its probability of success automatically increases
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according to the predictive lead scoring algorithm.
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according to the predictive lead scoring algorithm.
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.. _lead_scoring/configuration:
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Configuration
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Configuration
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-------------
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-------------
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