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Marketing Analytics | Key Concepts, Study Guide, Exam Review & Practice Questions

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This Marketing Analytics Study Guide provides focused review material covering marketing data analysis, marketing metrics, KPIs, customer analytics, digital marketing analytics, campaign performance, marketing measurement, forecasting, segmentation, attribution, and marketing ROI. It is designed to support students with key concepts, study notes, practice questions, revision, exam preparation, and comprehensive marketing analytics review.

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Marketing Analytics | Key
Concepts, Study Guide,
Exam Review & Practice
Questions
|Guaranteed success|

,Perceptual Maps • a.k.a., product-space maps
• Similarity-based methods and attribute-based methods
• Use graphical displays that possess the following characteristics
- The distances between products indicate similarities in the minds of
customers, such that *the shorter the distance, the more similarly the products
are perceived by customers
- A vector on the map (shown by a line with an arrow) indicates both
magnitude and direction, usually to denote product attributes
- The map axes, a special set of vectors, suggest the broad underlying
dimensions that best characterize how customers differentiate among
alternatives


Conceptual Marketing when a decision maker relies solely on his or her mental models, without using
any support system


Preference Maps • Introduces preference vectors or ideal points for each respondent of a study
on to a perceptual map --> allow customers to choose among alternatives
(Pink lines)
• Fundamentally different from perception maps
- Though customers perceive think Volvo is safe, some may rank a high value on
safety while others may not
• Preferences do not necessarily change according to the magnitude of an
attribute
- Customers may have an ideal level of an attribute, above or below that level
and the product becomes less preferable
- However, customers may prefer more or less of an attribute
• Ideal Preference Maps: distances directly indicate preference, such that the
greater the distance the brand is from the ideal point, the less preferred the
brand is
• Vector Preference Maps: product locations are projected onto the a
preference vector, and distances are measured along the preference vector


--C--B--A-->


A is preferred to B, and B is preferred to C.


Automated Marketing automate the decision making process using sophisticated information system

, Joint-Space Maps • Incorporate both perceptions and preferences into the same maps
• More sophisticated methods employ external analysis and average
perception data --> Joint-Space Maps
• There are two simple methods for generating joint-space maps:
1) Averaged ideal-point models
- require hypothetical ideal brand that appears among the set of alternatives
customers can rate
- Customers rate the available brands and indicate where their ideal brand
would fall, if it existed, in terms of the attributes
- The perceptual map would include the averaged perceptions of the ideal
brand
- The farther away an existing brand is from the ideal brand for the segment,
the less it would be preferred by these customers


2) Averaged vector models
- If a preference attribute appears in the set of attributes, or if the market share
of each brand is a surrogate for preference, the associated vector in the
resulting perceptual map indicates the direction of increasing preference
- The farther a product appears along the vector, the more it is preferred
- The other attributes closely aligned with this preference attribute can be
interpreted as drivers/explanations for customer preferences


Customer Relationship Management (CRM) managing detailed information about individual customers and carefully
managing customer touch points to maximize customer loyalty


First Choice Rule • Customers always choose (or purchase) the product they prefer the most,
even if one or more other alternatives are also acceptable.
• Applies well in product categories that are:
(1) infrequently purchased
(2) expensive
(3) visible during use (e.g., clothing)
(4) require high involvement decision making on the part of customers
• Ex. automobiles, smartphones, cosmetics, designer clothes


Enterprise Resource Planning (ERP) a suite of applications called modules, a database, and a set of inherent
processes for consolidating business operations into a single, consistent,
computing platform


Share of Preference Rule • Customers distribute their purchases across different product offerings
proportional to their relative preferences for each
• Applies well in product categories that are:
(1) frequently purchased (e.g., soft drinks)
(2) relatively inexpensive
(3) not visible during use
(4) do not require careful decision making
(5) seek variety from time to time
• Ex. beer, wine, soft drinks, breakfast cereals

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