Chapter 1 Flashcards
what does a good decision require
reasoned choice among competing alternatives
what is good decision making essential in?
essential in business
what does the marketing decision follow? and what’s the risk?
follows an intuitive decision-making process comprised of judgement calls based on manager’s mental models of the world, developed in their own experience. this is prone to systematic errors - bias, skewed to certain POVs
define marketing engineering
systematic translation of data and knowledge into tools used to enhance marketing decision making.
systematic approach to harness data and knowledge to drive effective marketing decision making and implementation through a technology enabled and model supported interactive decision process
define conceptual marketing
when decision maker relies solely on their mental models
define automated marketing
to automate decision process using a sophisticated information system
what yields the best results when solving marketing problems
mix of decision support tools.
what does the marketing engineering approach require in an organizational setting?
requires design and construction of decision models and implementation of those models in the form of marketing management support systems (MMSS)
what’s the purpose of marketing engineering
to simplify the decision context and create a decision architecture to help focus on the key issues
aid managers in assessing the what if - opportunity costs.
why did engineer marketing have short-lived successes in the past
lack of tech available
what helped to make marketing analytics more central to decision making architectures?
Enterprise-wide systems for resource planning (ERP) and Customer relationship management (CRM)
what’s the marketing engineering approach?
- data –> database management
- information n –> decision model; mental model
- Insights –> Judgement under uncertainty
- Decisions –> financial, human + other organizational resources
- Implementation
what’s a problem for marketing
too much data - how to quickly transform data into insights
what is there a disconnect between? what does that suggest?
disconnect between the resources CMOs plan to invest in customer analytics and the business performance they expect to attain from that investment
suggests both an opportunity and increasing interest in deploying systematic, analytics processes to generate insights, guide creative thinking for developing more effective marketing programs and measure outcomes.
how do decision-support tools and mental models assist each other
mental models can incorporate idiosyncratic aspects of a decision situation but they may force fit new cases into old patterns
decision models may be consistent and unbiased, but they can underweight or ignore idiosyncratic aspects of the situation
data-driven vs knowledge-driven marketing engineering
data-driven: supports tool answers to what if questions on the basis of a quantified market response model.
knowledge-driven decision support tool captures the qualitative knowledge available about a particular domain.
benefits fo marketing enegineering
managers can explore more decision options, consider decision options more distant form the “base solutions, assess the relative impact of different marketing decision variables more precisely, facilitate group decision making, and enhance their own subjective mental models of market behaviour -
marketing engineering approach leads to better and more systematic marketing decision making
what’s the challenge of ROI in marketing investment?
defining what the total costs associated with an investment is. direct + indirect costs
ROI doesn’t include a natural time frame