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Optimization, the Robin Hood of Analytics?

Optimization, the Robin Hood of Analytics?
During governance and roundtable meetings, volume and run-rates are recurring themes.

You’ve heard how contact volumes must be set aside for card programs, and other run-rate products. Typically first come first serve basis.
Without a lingua franca, say Profitability or Margins, it’s basically who shouts loudest.
Contact policies and quarantines alleviate contact fatigue somewhat.

So say, 45 days in between consecutive Sales related contacts, and considerably less when it’s a Service related contact.
Makes sense: you don’t want to appear over salesy, but rendering good service, that earns you the right to sell (more).

Use Optimization as a beacon of justice and fairness. Those few contacts, say for Bancassurance that convert favorably and produces a balance sheet delta; do more of those!

Give the poor (name the product person sitting in the corner) guy a go.

They won’t breach your contact policies, and per contact wise your maximizing customer experience (for all you CE inclined people out there).

Refrain from letting the card contacts (their lifecycles!?) boggle you with a need to horde contacts, and no, one less card contact isn’t going to dent your books noticeably. It’s all fair and square in Banking, may the most profitable and risk-adjusted contact win!

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