3. + Objective The objective is to help the marketing managers
of Ford forecast the market share of its upgraded 2015 models-
Edge, Flex, and Explorer in U.S market in 2015. Two step: Predict
the size of mid-sized SUV market in 2015. Predict the share of Ford
in the mid-sized SUV market in 2015.
4. + Competitors
5. + 2014 Midsize SUV Market Share FORD 29% GMC 7% HONDA 9%
HYUDAI 9% JEEP 15% MAZDA 1% NISSAN 11% TOYOTA 19%
6. + Midsize SUV Sale 2010-2014 0 50000 100000 150000 200000
250000 300000 350000 400000 2010 2011 2012 2013 2014 ford GMC honda
Hyudai jeep mazda nissan toyota
7. + Methodology Data collection 1) Sales figures for each
brand 2) Car attributes, price and customer rating 3) Selling
expenses for each brand 4) Us population and inflation rate
Distribution Chart Monthly car sales figures Regression Model
Forecast for 2015 market size 1) Correlation for variables 2)
Minimized SSE by Solver Market Share Model 1) Calculate market
share for 2010-2013 as calibration 2) Predict market share for 2014
as validation and calculate MAPE 3) Use 2015 predicted market size
to calculate market share in 2015
8. + Finding Distribution chart 0 20,000 40,000 60,000 80,000
100,000 120,000 140,000 160,000 Jan Feb Mar Apr May Jun Jul Aug Sep
Oct Nov Dec 2014 Monthly Sale Monthly sale
9. + Finding 2015 Market Size Forecast Regression Model:
Variables Best Conservative Worst Inflation rate 2.52 2.1 1.68
Population growth rate 0.87% 0.73% 0.58% From the coefficient,
inflation and population has positive impact on market size. Best
and worst forecast for the variables below: Market Size
=54.47+0.02195ln(Inflation)+11.8624ln(Population)
15. + Recommendations Higher the price of its mid-sized SUV and
increase its selling expense (advertisement) to increase its market
share. Rolling out model with 7 seats may be a more profitable
option for Ford. Rolling out new models with smaller engine size
and lighter curb weight may help Ford to increase its market
share.
16. + Model limitation With overfull variables for cars
attribute, we have difficulty to put all of them into our
regression model and market share model. Due to the financial
reports from companies are annual and global based, we could not
obtain the monthly and national data for the Marketing and
Advertising expenses.