lovemarking strategic data mining model

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LOVEMARKING STRATEGIC DATA MINING MODEL Peter J Stavroulakis 3RD INTERNATIONAL CONFERENCE ON QUANTITATIVE AND QUALITATIVE METHODOLOGIES IN THE ECONOMIC AND ADMINISTRATIVE SCIENCES MAY 23-24 2013 , TEI OF ATHENS, GREECE

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Conference presentation, 2013

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Page 1: Lovemarking Strategic Data Mining Model

LOVEMARKING STRATEGIC DATA MINING MODEL

Peter J Stavroulakis

3RD INTERNATIONAL CONFERENCE ON QUANTITATIVE AND QUALITATIVE METHODOLOGIES IN THE ECONOMIC AND ADMINISTRATIVE SCIENCES

MAY 23-24 2013 , TEI OF ATHENS, GREECE

Page 2: Lovemarking Strategic Data Mining Model

Lovemarks

•Products: Commodities

•Brands: Functional benefits but no consumer emotional attachment

•Lovemarks: Emotional connection with the client

•Fads: No survival despite popularity

Roberts & Lafley (2005)

Page 3: Lovemarking Strategic Data Mining Model

Depiction

Page 4: Lovemarking Strategic Data Mining Model

What exactly would we consider a lovemark?

Page 5: Lovemarking Strategic Data Mining Model

“Corporate brands represent thegrowing effort of corporations atbranding themselves somewhatindependently of their product lines”

Lair, Sullivan & Cheney (2005)

Page 6: Lovemarking Strategic Data Mining Model

Where will the Corporate Brand be situated?

Lovemark

Neutral Feelings

Negative Attitude (hatemark)

Page 7: Lovemarking Strategic Data Mining Model

What about our Brands?

Page 8: Lovemarking Strategic Data Mining Model

The individual Brands

Page 9: Lovemarking Strategic Data Mining Model

Where will the Brand be situated?

no brand awareness

lacking awareness

brand awareness

somewhat loyal

brand loyalty

Page 10: Lovemarking Strategic Data Mining Model

The LSDM matrix formulation

Page 11: Lovemarking Strategic Data Mining Model

The LSDM sectors

Page 12: Lovemarking Strategic Data Mining Model

Sector nomenclature

• Neglected Child: The firm may have undermined said product

• Incarcerated Uncle: Probably the less appealing state

Page 13: Lovemarking Strategic Data Mining Model

Sector nomenclature

• Life Partner: The product is a life partner for the segment of the client base.

• Mother-In-Law: The market members select the product but will probably be the first to formulate a strong churn trend

Page 14: Lovemarking Strategic Data Mining Model

Neglected Child eventuality

Page 15: Lovemarking Strategic Data Mining Model

Applications

Strategy formulation

Effectiveness monitoring

Comparison of product families and specific brands of the firm

Data mining, mapping and clustering of the client base or target market

Static and dynamic form

Page 16: Lovemarking Strategic Data Mining Model

Future Directions

Research of applicability

Range of applications

Usability investigation

Page 17: Lovemarking Strategic Data Mining Model

Thank you for your attention!