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1/30/2015 1
MarketTrack 101
Zack Isaac
AnalyticIn.COM
Overview
Welcome to MarketTrack 101. This presentation will
explore aspects of the Nielsen MarketTrack product
including:
► Examples of how MarketTrack can help you in your
roles at Key Account managers
►An explanation of what is Nielsen MarketTrack
► An overview of ways in which dimensions of the
MarketTrack data can be applied
►A review of key data facts
What
happened?
Why did it
happens?
What is
currently
happening?
What will
happen?
How can MarketTrack data help you?
► As a key account manager, MarketTrack data can help
you in many ways to understand past, present and future
health of your brands
Examples:
• Losing Vol share
in region
• Low brand
growth compared
to competitors
Examples:
• Result of
competitor price
changes?
• Loss of
distribution
• Competitor
marketing
activities?
Examples:
• How is the
category growing?
• How are brands
doing?
• Is innovation
driving the
category?
• What are our
competitors price
strategy?
Examples:
• Based on
previous history
what will our
brand health be
going forward?
So what is MarketTrack?
► MarketTrack is the industry standard for measuring
and understanding the performance and dynamics of
consumer packaged goods (CPG) sales
►It provides continuous tracking of product sales to
consumers, combining retailer point-of-sale census and
projected data with manufacturer shipment data, direct
store delivery data and household panel data to provide
clients with a complete representation of the retail
universe
Where is the data sourced?
MarketTrack data is sourced from two main areas:
4 main dimensions
► Nielsen MarketTrack
offers a multi-dimensional
set of views across the data
it provides.
► Each view lets an
individual focus on the data
he or she needs to solve a
specific business problem.
► These views, defined in
four common dimensions,
can be combined in a nearly
infinite number of ways.
MarketTrack
Products Markets Periods Facts
Product dimension
► The product
dimension is
represented as a
hierarchy. Each level
in the hierarchy
represents a certain
level of detail about a
product or set of
products
Category
Brand
Segment
UPC
Market dimension
► The market
dimension is also
represented by a
hierarchy and is a
combination of
regional locations
and channels
Grocery
150M
+
Drug
1M+
MM
Zellers/
WM
GM
+ WC
G&C Total
Sampling & Projection
►Nielsen data is collected within
various markets, as defined by
geography but not all data is
available
►As a result, data is collected
from a subset, or sample, of the
complete set of stores or
households and is then projected
to estimate the complete set
►For certain channels where POS
data is not available other data is
used
GM
• Homescan
WC
• Homecan
Rem Grocery
(Non-DSD)
• Warehouse
Shipments
Rem Grocery
(DSD)
• Audits
Periods
►A period is a measurement of time that expresses
when an event took place. Nielsen uses several
standard reporting periods
 Individual weeks
 Groups of weeks (4wks, 12wks, 52wks)
 4/4/4 periods – 13 groups of 14 wks per year
Facts
► All MarketTrack Facts can be broken down into two
classes which are based on the type of information they
measure:
Performance
Measures
Volumes
Share
% Chg
Distribution
Avg A/C
Dist
Dist Pts
Avg #
Items Sold
SPPD
Pricing
Avg Retail
Price
Avg
Regular
Price
Avg TPR
Price
Merchandizing
Weighted
Co-op
- Weighted
Display
1. Performance
Measurement Facts –
Measures volume and
share performance
2. Casual Facts – Explain
the reasons behind the
performance as it
relates to distribution,
pricing or
merchandising activity
Reason why analysis
Understanding distribution
► In MarketTrack, to understand how distribution is
calculated, you first need to understand All Commodity
Volume (ACV). ACV is a measure of the total dollar
volume of retail sales for a channel in a given market
► Lets look at an example …
Understanding distribution
ACV=$100 ACV=$250
ACV=$150 ACV=$500
Let’s assume our
Universe is made up
for 4 stores
The total vol for all
stores is $1000
However, our
Almond Dream
brand is only sold in
1 store
Using the ACV
information, we can
calculate our AC
Distribution as being
10% (100/1000
Our brand is sold in
stores that account
for 10% of the All
Commodity
► In MarketTrack, to understand how distribution is
calculated, you first need to understand All Commodity
Volume (ACV). ACV is a measure of the total dollar
volume of retail sales for a channel in a given market
► Lets look at an example …
A/C Dis
  50%
  60%
   75%
    100%
Understanding distribution
► A/C Distribution is not based on store count, but on the importance of
stores in which the product is sold. This is a more accurate measure of a
product’s availability as not every store is equal. Store image, population
density and store size can all impact the importance of a store
Some stores sell more than one
item, but the brand receives
only one credit regardless of the
number of items sold in that
store. In this way, distribution
measures the breadth of
availability
Distribution Points (TDP)
► Distribution points are used to measure both a
brand’s breadth and depth of availability. It is calculated
by adding the A/C Distribution of all a brand’s items in a
given market for a given period of time
Brand A/C Dist Distibution Points
Brand A 80 350
Brand B 80 220
Average Items Sold
► Average Items Sold provides an estimate of how many
items within a brand’s portfolio are sold in the average
store. It is calculated by dividing a brand’s distribution
points with the brand’s A/C Distribution.
For example, a brand has 5 items with the following A/C Distribution:
1. Mint Toothpaste 50
2. Whitening Toothpaste 80
3. Cool Mint Toothpaste 30
4. Cherry Toothpaste 20
5. Nighttime Toothpaste 75
Total dist. Points = 255 and the brand’s A/C Distribution is 80%. So, it’s average items sold
is 255 / 80 = 3.2.
Note: Marketing Comparisons over time allows us to understand if retailers are delisting
or listing our items
SPPD (calculate sales/Avg AC Dist)
► Sales Per Point of Distribution measures velocity—
how fast the product moves in locations where it’s
available.
►It is typically used to support listing or delisting stories.
For example, if one of my key items is not fully
distributed, but sells at a faster rate versus one of my key
competitors, this suggests there may be an opportunity
to increase the distribution for our item at the expense of
our competitor
$ Rank Vol Dist SPPD
1 10,000 80 125
8 9,000 30 300
Average Items Sold
►In MarketTrack there are two facts which help us to
measure the level of trade support given to our brands.
They include Weighted Coop and Weighted Display
Weighted Coop is calculated by
multiplying coop distribution by
coop frequency. In a four week
period, the maximum Weighted
Coop would be 400—the product
is on ad all four weeks and the ad
was available in all stores
On it’s own it doesn’t mean a
lot—it needs to be
benchmarked to previous levels
or to competitors in order to
understand its possible impact
on sales. For example an
increase in Weighted Coop
associated with an increase in
volume suggests the increase in
flyer activity helped the brand
grow
Weighted Display is calculated
similarly to a weighted coop
(Display Distribution x Display
Frequency). In a four week
period, the maximum Weighted
display would be 400—the
product was displayed in all
stores in all four weeks. Similar
to Weighted Coop, the number
itself is irrelevant and needs to
be benchmarked to previous
levels or to competitors in
order to understand the
possible impact on sales.
For example, a decrease in
Weighted Display associated
with a decline in volume
suggests fewer displays hurt the
brand’s performance.
Please note that a display is
considered a display for only 12
weeks; on the 13th week it
would be considered a
permanent location
Questions
If you have any questions
or would like some
assistance in development
of Nielsen Workstation
templates please contact:
Zack Isaac
zack.isaac@analyticin.com

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MarketTrack

  • 1. 1/30/2015 1 MarketTrack 101 Zack Isaac AnalyticIn.COM
  • 2. Overview Welcome to MarketTrack 101. This presentation will explore aspects of the Nielsen MarketTrack product including: ► Examples of how MarketTrack can help you in your roles at Key Account managers ►An explanation of what is Nielsen MarketTrack ► An overview of ways in which dimensions of the MarketTrack data can be applied ►A review of key data facts
  • 3. What happened? Why did it happens? What is currently happening? What will happen? How can MarketTrack data help you? ► As a key account manager, MarketTrack data can help you in many ways to understand past, present and future health of your brands Examples: • Losing Vol share in region • Low brand growth compared to competitors Examples: • Result of competitor price changes? • Loss of distribution • Competitor marketing activities? Examples: • How is the category growing? • How are brands doing? • Is innovation driving the category? • What are our competitors price strategy? Examples: • Based on previous history what will our brand health be going forward?
  • 4. So what is MarketTrack? ► MarketTrack is the industry standard for measuring and understanding the performance and dynamics of consumer packaged goods (CPG) sales ►It provides continuous tracking of product sales to consumers, combining retailer point-of-sale census and projected data with manufacturer shipment data, direct store delivery data and household panel data to provide clients with a complete representation of the retail universe
  • 5. Where is the data sourced? MarketTrack data is sourced from two main areas:
  • 6. 4 main dimensions ► Nielsen MarketTrack offers a multi-dimensional set of views across the data it provides. ► Each view lets an individual focus on the data he or she needs to solve a specific business problem. ► These views, defined in four common dimensions, can be combined in a nearly infinite number of ways. MarketTrack Products Markets Periods Facts
  • 7. Product dimension ► The product dimension is represented as a hierarchy. Each level in the hierarchy represents a certain level of detail about a product or set of products Category Brand Segment UPC
  • 8. Market dimension ► The market dimension is also represented by a hierarchy and is a combination of regional locations and channels Grocery 150M + Drug 1M+ MM Zellers/ WM GM + WC G&C Total
  • 9. Sampling & Projection ►Nielsen data is collected within various markets, as defined by geography but not all data is available ►As a result, data is collected from a subset, or sample, of the complete set of stores or households and is then projected to estimate the complete set ►For certain channels where POS data is not available other data is used GM • Homescan WC • Homecan Rem Grocery (Non-DSD) • Warehouse Shipments Rem Grocery (DSD) • Audits
  • 10. Periods ►A period is a measurement of time that expresses when an event took place. Nielsen uses several standard reporting periods  Individual weeks  Groups of weeks (4wks, 12wks, 52wks)  4/4/4 periods – 13 groups of 14 wks per year
  • 11. Facts ► All MarketTrack Facts can be broken down into two classes which are based on the type of information they measure: Performance Measures Volumes Share % Chg Distribution Avg A/C Dist Dist Pts Avg # Items Sold SPPD Pricing Avg Retail Price Avg Regular Price Avg TPR Price Merchandizing Weighted Co-op - Weighted Display 1. Performance Measurement Facts – Measures volume and share performance 2. Casual Facts – Explain the reasons behind the performance as it relates to distribution, pricing or merchandising activity Reason why analysis
  • 12. Understanding distribution ► In MarketTrack, to understand how distribution is calculated, you first need to understand All Commodity Volume (ACV). ACV is a measure of the total dollar volume of retail sales for a channel in a given market ► Lets look at an example …
  • 13. Understanding distribution ACV=$100 ACV=$250 ACV=$150 ACV=$500 Let’s assume our Universe is made up for 4 stores The total vol for all stores is $1000 However, our Almond Dream brand is only sold in 1 store Using the ACV information, we can calculate our AC Distribution as being 10% (100/1000 Our brand is sold in stores that account for 10% of the All Commodity ► In MarketTrack, to understand how distribution is calculated, you first need to understand All Commodity Volume (ACV). ACV is a measure of the total dollar volume of retail sales for a channel in a given market ► Lets look at an example …
  • 14. A/C Dis   50%   60%    75%     100% Understanding distribution ► A/C Distribution is not based on store count, but on the importance of stores in which the product is sold. This is a more accurate measure of a product’s availability as not every store is equal. Store image, population density and store size can all impact the importance of a store Some stores sell more than one item, but the brand receives only one credit regardless of the number of items sold in that store. In this way, distribution measures the breadth of availability
  • 15. Distribution Points (TDP) ► Distribution points are used to measure both a brand’s breadth and depth of availability. It is calculated by adding the A/C Distribution of all a brand’s items in a given market for a given period of time Brand A/C Dist Distibution Points Brand A 80 350 Brand B 80 220
  • 16. Average Items Sold ► Average Items Sold provides an estimate of how many items within a brand’s portfolio are sold in the average store. It is calculated by dividing a brand’s distribution points with the brand’s A/C Distribution. For example, a brand has 5 items with the following A/C Distribution: 1. Mint Toothpaste 50 2. Whitening Toothpaste 80 3. Cool Mint Toothpaste 30 4. Cherry Toothpaste 20 5. Nighttime Toothpaste 75 Total dist. Points = 255 and the brand’s A/C Distribution is 80%. So, it’s average items sold is 255 / 80 = 3.2. Note: Marketing Comparisons over time allows us to understand if retailers are delisting or listing our items
  • 17. SPPD (calculate sales/Avg AC Dist) ► Sales Per Point of Distribution measures velocity— how fast the product moves in locations where it’s available. ►It is typically used to support listing or delisting stories. For example, if one of my key items is not fully distributed, but sells at a faster rate versus one of my key competitors, this suggests there may be an opportunity to increase the distribution for our item at the expense of our competitor $ Rank Vol Dist SPPD 1 10,000 80 125 8 9,000 30 300
  • 18. Average Items Sold ►In MarketTrack there are two facts which help us to measure the level of trade support given to our brands. They include Weighted Coop and Weighted Display Weighted Coop is calculated by multiplying coop distribution by coop frequency. In a four week period, the maximum Weighted Coop would be 400—the product is on ad all four weeks and the ad was available in all stores On it’s own it doesn’t mean a lot—it needs to be benchmarked to previous levels or to competitors in order to understand its possible impact on sales. For example an increase in Weighted Coop associated with an increase in volume suggests the increase in flyer activity helped the brand grow Weighted Display is calculated similarly to a weighted coop (Display Distribution x Display Frequency). In a four week period, the maximum Weighted display would be 400—the product was displayed in all stores in all four weeks. Similar to Weighted Coop, the number itself is irrelevant and needs to be benchmarked to previous levels or to competitors in order to understand the possible impact on sales. For example, a decrease in Weighted Display associated with a decline in volume suggests fewer displays hurt the brand’s performance. Please note that a display is considered a display for only 12 weeks; on the 13th week it would be considered a permanent location
  • 19. Questions If you have any questions or would like some assistance in development of Nielsen Workstation templates please contact: Zack Isaac zack.isaac@analyticin.com