Accelerating mobile money penetration with contextual offer recommendation
Case Studies
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Casestudy
Accelerating mobile money penetration with contextual offer recommendation
The base penetration improved from
2% to 3.25%
within a period of 3 months
Offer conversion improves from
4.5%
to
20%
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Machine learned offer prioritization and automated recommendation improves produ..
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Stimulate the usage of inactive ‘foreign resident’ customers through..
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Accelerating mobile money penetration with contextual offer recommendation
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