SlideShare a Scribd company logo
1 of 86
Extreme Makeover: PowerPoint edition
Q - R E S E A R C H S O F T W A R E . C O M
W E B I N A R
BEFORE
Today’s MAKEOVER event!
1. 5 design tips for better-looking slides
2. MAKEOVER charts - to tell a clearer story
3. Automation of PowerPoint charting
4. Complementing with online reporting
Today’s MAKEOVER event!
1. 5 design tips for better-looking slides
2. MAKEOVER charts - to tell a clearer story
3. Automation of PowerPoint charting
4. Complementing with online reporting
Market Research
Data Science
Graphic Design
Customer Success
Jackson Pollock
Trying to highlight some interesting bits
Title relating to topic area
Possible sub-title
Question name
Footer info (eg; base)
Bit of commentary that is mostly descriptive and obvious.
Summary Implications
Lazy market research PowerPoint report structure
Quit monkeying around!
Summary Implications
The story makes the numbers interesting.
The numbers make the story credible.
Title relating to topic area
xxx
Possible sub-title
Question name
Footer info (eg; base)
Bit of commentary that is mostly descriptive and obvious.
Arresting insight headline that links
to the research problem!
Key points
Clear & captivating charts / figures / mnemonics
Linking data
Main point is the data,
or we just say something about it that
may eventually link to story
The main point tells story,
which is supported by data
Data-focused Story-focused
Appendix
And reporting…!
ANALYSIS
β€’ Shortcuts to finding the story
β€’ DIY advanced analysis
β€’ Instant updates
(no syntax required)
REPORTING
β€’ Greater array of visualizations
β€’ Directly generate charts in PPT
(and tables)
β€’ Automatic updating of slides
ONE CLICK
OLD SCHOOL Q
β€’ Cut and paste data
β€’ Manipulating data
β€’ Checking for errors
β€’ Finding and fixing errors
β€’ Repeat (x1000)
More time to do
more of this!
Help to
make these+ =
Time is of the essence as a researcher!
Save time
doing this
For charts and slides
DESIGN TIPS
5
1 Design tip 1: Good colour
οƒΌ Selective use
οƒΌ Generate a palette – eg: https://coolors.co/
οƒΌ Consider tone (grayscale)
οƒΌ Set up in Slide Master
A scale question
4%
9%
13%
12%
14%
16%
7%
12%
19%
17%
29%
25%
15%
34%
25%
31%
23%
42%
42%
8%
17%
24%
11%
5%
32%
38%
26%
17%
24%
13%
Coca-Cola
Pepsi
Coke Zero
Pepsi Max
Diet Coke
Diet Pepsi
Hate Dislike Neither like nor dislike Like Love
BEFORE
Divergent scale?
4%
9%
13%
12%
14%
16%
7%
12%
19%
17%
29%
25%
15%
34%
25%
31%
23%
42%
42%
8%
17%
24%
11%
5%
32%
38%
26%
17%
24%
13%
Coca-Cola
Pepsi
Coke Zero
Pepsi Max
Diet Coke
Diet Pepsi
Hate Dislike Neither like nor dislike Like Love
-100 -50 0 50 100 -100 -50 0 50 100
Tone matters
Better in black and white
4%
9%
13%
12%
14%
16%
7%
12%
19%
17%
29%
25%
15%
34%
25%
31%
23%
42%
42%
8%
17%
24%
11%
5%
32%
38%
26%
17%
24%
13%
Coca-Cola
Pepsi
Coke Zero
Pepsi Max
Diet Coke
Diet Pepsi
Hate Dislike Neither like nor dislike Like Love
Better in black and white
In addition to sorting:
οƒΌ Use color gradient
οƒΌ Decreasing size
Coke Zero - When 'at home'
Coca-Cola - When 'at home'
Coke Zero - When 'out and about'
Diet Coke - When 'at home'
Pepsi Max - When 'at home'
Coca-Cola - When 'out and about'
Pepsi Max - When 'out and about'
Diet Coke - When 'out and about'
Pepsi - When 'at home'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Diet Pepsi - When 'at home'
2 Design tip 2: Scale color/size
Coke Zero - When 'at home'
Coca-Cola - When 'at home'
Coke Zero - When 'out and about'
Diet Coke - When 'at home'
Pepsi Max - When 'at home'
Coca-Cola - When 'out and about'
Pepsi Max - When 'out and about'
Diet Coke - When 'out and about'
Pepsi - When 'at home'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Diet Pepsi - When 'at home'
BEFORE
Coke Zero - When 'at home'
Coca-Cola - When 'at home'
Coke Zero - When 'out and about'
Diet Coke - When 'at home'
Pepsi Max - When 'at home'
Coca-Cola - When 'out and about'
Pepsi Max - When 'out and about'
Diet Coke - When 'out and about'
Pepsi - When 'at home'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Diet Pepsi - When 'at home'
0
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
οƒΌ Arrange content on slide
into implicit rectangles
3 Design tip 3: Form rectangles
0% 20% 40% 60% 80%
Colleague recommendation
Previous work together
Affordability of services
National reputation
Local knowledge
Content expertise
Demonstration of results
% selecting given attribute
Demonstration effectiveness is most important
consideration when selecting a provider
In general, what attributes are the most important to you in selecting a service provider?
(Choose up to 3)
Affordability and experience
working together previously,
which were hypothesized to be
very important in the decision
making process, were both cited
less frequently as important
attributes.
Survey shows that
demonstration of results is the
single most important
dimension when choosing a
service provider.
0% 20% 40% 60% 80%
Demonstration of results
Content expertise
Local knowledge
National reputation
Affordability of services
Previous work together
Colleague recommendation
% selecting given attribute
In general, what attributes are the most important to you in selecting a service provider?
(Choose up to 3)
Demonstration of results is the single
most important dimension when choosing
a service provider.
Affordability and experience working
together previously, which were
hypothesized to be important in the
decision-making process, were both cited
less frequently as important attributes.
Demonstration effectiveness is most important
consideration when selecting a provider
0% 20%40%60%80%
Colleague recommendation
Previous work together
Affordability of services
National reputation
Local knowledge
Content expertise
Demonstration of results
% selecting given attribute
Demonstration effectiveness
is most important consideration when
selecting a provider
In general, what attributes are the most important to
you in selecting a service provider?
Survey shows that
demonstration of results
is the single most
important dimension
when choosing a
service provider.
Affordability and
experience working
together previously, which
were hypothesized to be
very important in the
decision making process,
were both cited less
frequently as important
attributes.
0% 20% 40% 60% 80%
Demonstration of results
Content expertise
Local knowledge
National reputation
Affordability of services
Previous work together
Colleague recommendation
% selecting given attribute
In general, what attributes are the most important to you in selecting a service provider?
(Choose up to 3)
Demonstration of results is the
single most important dimension
when choosing a service provider.
Affordability and experience
working together previously,
which were hypothesized to be
important in the decision-making
process, were both cited less
frequently as important attributes.
Demonstration effectiveness is most important consideration
when selecting a provider
BEFORE
οƒΌLegends require additional eye
movement = more work!
4 Design tip 4: Avoid legends
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
January 2017 February 2017 March 2017 April 2017 May 2017 June 2017
Coca-Cola
Diet Coke
Coke Zero
Pepsi
Diet Pepsi
Pepsi Max
BEFORE
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
January 2017 February 2017 March 2017 April 2017 May 2017 June 2017
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
οƒΌ Changing the size of slopes on
charts to have an average value
of around 45Β°.
45Β°
5 Design tip 5: Bank to 45 degrees
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
January 2017 February 2017 March 2017 April 2017 May 2017 June 2017
BEFORE
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
January
2017
February
2017
March
2017
April
2017
May
2017
June
2017
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
45Β°
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
January
2017
February
2017
March
2017
April
2017
May
2017
June
2017
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
Simple can be harder than complex: You have to
work hard to get your thinking clean to make it
simple. But it’s worth it in the end because once
you get there, you can move mountains.
S T E V E J O B S
BEFORE
SORT BY MAGNITUDE PLEASE!
91%
65%
26%
22%
11%
10%
6%
2%
1%
traditional
older
rebellious
open to new experiences
innocent
sleepy
feminine
health-conscious
weight-conscious
BEFORE
91%
65%
26%
22%
11%
10%
6%
2%
1%
traditional
older
rebellious
open to new experiences
innocent
sleepy
feminine
health-conscious
weight-conscious
SORT BY MAGNITUDE PLEASE!
+/- 2
CONSIDER MILLER’S LAW
43%
38%
26%
11%
8%
6%
6%
6%
5%
4%
4%
3%
3%
3%
3%
3%
2%
2%
2%
2%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
0%
0%
0%
Apple
Google
Coca-Cola
Microsoft
Toyota
IBM
Samsung
Amazon
Mercedes-Benz
GE
BMW
McDonald's
Disney
Intel
Facebook
Cisco
Oracle
Nike
Louis Vuitton
H&M
Honda
SAP
Pepsi
Gillette
American Express
IKEA
Zara
Pampers
UPS
Budweiser
J.P. Morgan
eBay
Ford
Hermès
Hyundai
Nescafe
Accenture
Audi
Kellogg's
Volkswagen
Philips
Canon
Nissan
Hewlett Packard Enterprise
L'OrΓ©al
AXA
HSBC
HP
Citi
DO WE NEED ALL THESE POINTS?
BEFORE
43%
38%
26%
11%
8%
6%
6%
6%
10%
Apple
Google
Coca-Cola
Microsoft
Toyota
IBM
Samsung
Amazon
NET Other
POPPING POINTS INTO AN β€œOTHER” CATEGORYPOPPING POINTS INTO AN β€œOTHER” CATEGORY
OR JUST USE A FOOTNOTE
43%
38%
26%
11%
8%
6%
6%
6%
Apple
Google
Coca-Cola
Microsoft
Toyota
IBM
Samsung
Amazon
All other brands <4% mentions (full list in Appendix)
43%
38%
26%
11%
8%
6%
6%
6%
5%
4%
4%
3%
3%
3%
3%
3%
2%
2%
2%
2%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
1%
0%
0%
0%
Apple
Google
Coca-Cola
Microsoft
Toyota
IBM
Samsung
Amazon
Mercedes-Benz
GE
BMW
McDonald's
Disney
Intel
Facebook
Cisco
Oracle
Nike
Louis Vuitton
H&M
Honda
SAP
Pepsi
Gillette
American Express
IKEA
Zara
Pampers
UPS
Budweiser
J.P. Morgan
eBay
Ford
Hermès
Hyundai
Nescafe
Accenture
Audi
Kellogg's
Volkswagen
Philips
Canon
Nissan
Hewlett Packard Enterprise
L'OrΓ©al
AXA
HSBC
HP
Citi
IF YOU WANT TO SHOW THERE’S A SCATTERING…
BEFORE
TRY THE TREE MAP?
(EMPHASIZES SHARE OF RESPONSE)
PIE CHARTS = SHOWING PROPORTIONALITY
52
48
Leave Remain
Brexit Referendum
BEFORE
52
48
Brexit Referendum
Leave Remain
PIE CHARTS = SHOWING PROPORTIONALITY
Chrome 48.0, 42%
IE 11.0, 10%
Firefox 44.0, 7%
Safari iPad, 5%
Chrome for Android, 4%
Firefox 43.0, 4%
Safari 9.0, 3%
Chrome 47.0, 2%
Edge 13, 1%
Android 0, 1%
IE 8.0, 1%
IE 9.0, 1%
IE 10.0, 1%
Opera 35.0, 1%
Other, 1%
Chrome 45.0, 1%Chrome 46.0, 1%Chrome 43.0, 1%Chrome 31.0, 1%
Safari 8.0, 1%
Chrome 44.0, 1%
Edge 12, 0%Firefox 38.0, 0%Chrome iPad, 0%Firefox 42.0, 0%Firefox 45.0, 0%Firefox 31.0, 0%Opera 34.0, 0%Chrome 41.0, 0%Opera 12.1, 0%Chrome 42.0, 0%
Chrome 39.0, 0%
Firefox 41.0, 0%Chrome 50.0, 0%Chrome 49.0, 0%Firefox 39.0, 0%
Yandex Browser 15.12,
0%
Yandex Browser 16.2,
0%
Chrome 40.0, 0%Safari 6.1, 0%Maxthon 4.4, 0%Firefox 37.0, 0%
360 Safe Browser 0, 0%
Chrome 33.0, 0%Chrome 36.0, 0%Chrome 35.0, 0%Firefox 35.0, 0%Chrome 37.0, 0%Chrome 38.0, 0%Safari 6.2, 0%Firefox 36.0, 0%Safari 5.0, 0%
TOO MANY LABELS ON A PIE CHART!
BEFORE
VISUALIZATION SOFTWARE SORTS THE LABELS FOR YOU
DONUT CHARTS EVEN BETTER
MY FAILED ATTEMPT TO MAKE A DONUT WITHIN POWERPOINT
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Coke Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max
EVER SEEN A BRAND β€œFOOTPRINT”?
BEFORE
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Coke Pepsi
WHAT DOES THE SHAPE EVEN MEAN?
0
0.5
1
1.5
2
2.5
3
3.5
midnight
1am
2am
3am
4am
5am
6am
7am
8am
9am
10am
11am
noon
1pm
2pm
3pm
4pm
5pm
6pm
7pm
8pm
9pm
10pm
11pm
Coffee Beer
(RADAR CHARTS ARE MEANT FOR CYCLICAL DATA!)
60
% Feminine Health Innocent Older Open Rebellious Sleepy Traditional Weight
Coke 6% 2% 10% 64% 22% 25% 9% 91% 1%
Diet Coke 56% 58% 22% 23% 9% 5% 24% 16% 76%
Coke Zero 22% 54% 11% 6% 51% 56% 10% 3% 63%
Pepsi 9% 3% 10% 38% 17% 18% 13% 55% 0%
Diet Pepsi 61% 58% 45% 11% 17% 4% 30% 4% 77%
Pepsi Max 9% 31% 7% 7% 49% 45% 6% 5% 40%
HEAT MAP IS AN EASY-HACK… BUT A BIT β€œWALL OF NUMBERS”
β€œGRID OF BARS” + SCALING
DIAGONALIZE!
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Coke Diet Coke Coke Zero
Pepsi Diet Pepsi Pepsi Max
WHICH IS BETTER?
BEFORE
Total sample; Unweighted; base n = 600 TYPICAL SCALE QUESTION
BEFORE
4%
9%
13%
12%
14%
16%
7%
12%
19%
17%
29%
25%
15%
34%
25%
31%
23%
42%
42%
8%
17%
24%
11%
5%
32%
38%
26%
17%
24%
13%
Coca-Cola
Pepsi
Coke Zero
Pepsi Max
Diet Coke
Diet Pepsi
Hate Dislike Neither like nor dislike Like Love
Total sample; Unweighted; base n = 600
74
46
44
41
35
19
Coca-Cola
Pepsi
Coke Zero
Pepsi Max
Diet Coke
Diet Pepsi
Hate Dislike Like Love
NEGATIVE SWING + SORT + MILLER’S LAW + TOP 2 BOX
Nett 6-10 (top
4 box)
Mean score
83 ↑ 7.4 ↑
83 ↑ 7.4 ↑
81 ↑ 7.3 ↑
77 ↑ 7.2 ↑
75 ↑ 7.0 ↑
75 ↑ 7.0 ↑
73 6.9 ↑
71 6.8
71 7.0 ↑
69 6.7
69 6.7
66 6.6 ↓
65 ↓ 6.6 ↓
61 ↓ 6.3 ↓
58 ↓ 6.2 ↓
35 ↓ 4.8 ↓
WHAT’S THE STORY HERE?
All figures are %’s
66
13 13
14
13
15
17
20
21
21
23
23
22
20
26
25
24
27
21
12
12
10
12
14
12
13
14
11
11
10
14
13
15
12
8
20
20
23
19
18
21
21
19
17
21
20
18
17
17
18
10
23
19
22
22
23
21
19
20
21
18
18
17
17
14
14
8
15
11
11
11
10
9
9
7
8
8
10
8
9
7
7
5
14
18
14
14
10
10
9
9
11
10
11
9
9
8
7
5
Attribute A
Attribute F
Attribute E
Attribute P
Attribute D
Attribute G
Attribute X
Attribute Q
Attribute C
Attribute J
Attribute L
Attribute H
Attribute M
Attribute Q
Attribute B
Attribute V
0 1 2 3 4 5 6 7 8 9 10
WHAT’S THE STORY HERE?
BEFORE
WHAT’S THE STORY HERE?
67
SIMPLIFY!
-19 17
Attribute A
Attribute F
Attribute E
Attribute P
Attribute D
Attribute G
Attribute X
Attribute Q
Attribute C
Attribute J
Attribute L
Attribute H
Attribute M
Attribute Q
Attribute B
Attribute V
0%
10%
20%
30%
40%
50%
60%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
Coca-Cola Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max
HARD TO FOLLOW THE TREND OVER AGE
BEFORE
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
Coca-Cola Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max
STACKED FOR FORCED-CHOICE RESPONSE
55% 53% 53%
25%
33%
43%
35%
3% 9%
21%
21% 5%
6%
13%
16% 10%
21%
21%
26%
22%
14%
5% 12%
5%
19% 26%
7%
7%
18% 16%
12% 9%
19%
25%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
AREA + REMOVE LEGEND
Coca-Cola
Diet Coke
Coke Zero
Pepsi Max
Pepsi
Diet Pepsi
NO & DON’T KNOW ARE REDUNDANT!
BEFORE
69% 66%
59% 59%
49% 51%
56%
15% 24%
21% 21%
25% 27%
30%
16%
10%
21% 21%
26% 22%
14%
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
Don't know
No
Yes
ADD A TREND LINE (BANKED TO 45-DEGREES)
69% 66% 59% 59% 49% 51% 56%
40%
45%
50%
55%
60%
65%
70%
75%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
GRADIENT APPLIED TO AREA CHART + TREND ARROW OVERLAY
40%
45%
50%
55%
60%
65%
70%
75%
Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
USE LINE CHARTS FOR TRENDS!
75
1.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š0.6 ↓
0.9 ↓
2.4 ↑
0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
2.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
4.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
Qtr 1 Qtr 2 Qtr 3
Coca-Cola - When 'out and about'
Diet Coke - When 'out and about'
Coke Zero - When 'out and about'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Pepsi Max - When 'out and about'
Coca-Cola - When 'at home'
Diet Coke - When 'at home'
Coke Zero - When 'at home'
Pepsi - When 'at home'
Diet Pepsi - When 'at home'
Pepsi Max - When 'at home'
BUT TREND/LINE CHARTS CAN LOOK LIKE SPAGHETTI
BEFORE
76
4.1
3.1
2.4
1.9
1.9
1.6
1.1
0.7
0.4
0.4
0.3
0.1
Coke Zero - When 'at home'
Coca-Cola - When 'at home'
Coke Zero - When 'out and about'
Diet Coke - When 'at home'
Pepsi Max - When 'at home'
Coca-Cola - When 'out and about'
Pepsi Max - When 'out and about'
Diet Coke - When 'out and about'
Pepsi - When 'at home'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Diet Pepsi - When 'at home'
0.6
0.9
2.4
Qtr 1 Qtr 2 Qtr 3
Q2: How many colas have you consumed?
Base: All, all quarters base n = 200.
SPARKLINES! (SMALL MULTIPLES)
77
1.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š0.6 ↓
0.9 ↓
2.4 ↑
0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
2.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
3.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
4.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š
Qtr 1 Qtr 2 Qtr 3
Coca-Cola - When 'out and about'
Diet Coke - When 'out and about'
Coke Zero - When 'out and about'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Pepsi Max - When 'out and about'
Coca-Cola - When 'at home'
Diet Coke - When 'at home'
Coke Zero - When 'at home'
Pepsi - When 'at home'
Diet Pepsi - When 'at home'
Pepsi Max - When 'at home'
BUT TREND/LINE CHARTS CAN LOOK LIKE SPAGHETTI
BEFORE
78
4.1
3.1
2.4
1.9
1.9
1.6
1.1
0.7
0.4
0.4
0.3
0.1
Coke Zero - When 'at home'
Coca-Cola - When 'at home'
Coke Zero - When 'out and about'
Diet Coke - When 'at home'
Pepsi Max - When 'at home'
Coca-Cola - When 'out and about'
Pepsi Max - When 'out and about'
Diet Coke - When 'out and about'
Pepsi - When 'at home'
Pepsi - When 'out and about'
Diet Pepsi - When 'out and about'
Diet Pepsi - When 'at home'
0.6
0.9
2.4
Qtr 1 Qtr 2 Qtr 3
Q2: How many colas have you consumed?
Base: All, all quarters base n = 200.
SPARKLINES! (SMALL MULTIPLES)
ANOTHER SPAGHETTI CHART
BEFORE
SMALL MULTIPLES OF NPS!
(CHEAT: SPARKLINES MADE IN Q)
VISUALIZATION ALTERNATIVE
(NOTE: COULD BE HAND-CRAFTED IN PPT)
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Coke Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max
SO I’M NOT A FAN OF BRAND FOOTPRINTS
BEFORE
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Average Coke
BUT IT DOES WORK BETTER AS SMALL MULTIPLES (VS. AVERAGE BLOB)
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Average Coke Zero
Feminine
Health
Innocent
Older
OpenRebellious
Sleepy
Traditional
Weight
Average Diet Coke
Appendix
support@q-researchsoftware.com
support@displayr.com

More Related Content

Similar to Extreme MakeOver: PowerPoint Edition

How to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and CortanaHow to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and CortanaVishal Pawar
Β 
How to Create Memorable Data Visualizations
How to Create Memorable Data VisualizationsHow to Create Memorable Data Visualizations
How to Create Memorable Data VisualizationsHanapin Marketing
Β 
Lean Analytics & Analytics Dashboards
Lean Analytics & Analytics DashboardsLean Analytics & Analytics Dashboards
Lean Analytics & Analytics DashboardsYves Ferket
Β 
Data Visualization and Dashboard Design
Data Visualization and Dashboard DesignData Visualization and Dashboard Design
Data Visualization and Dashboard DesignJacques Warren
Β 
Data driven storytelling tips from an iron viz champion ryan sleeper
Data driven storytelling tips from an iron viz champion   ryan sleeperData driven storytelling tips from an iron viz champion   ryan sleeper
Data driven storytelling tips from an iron viz champion ryan sleeperRyan Sleeper
Β 
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVC
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVCCreating Presentations That Matter - A 1-day workshop (May 4th) at SVC
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVCAshley Bright
Β 
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...library_research_service
Β 
Business process creative environment
Business process   creative environmentBusiness process   creative environment
Business process creative environmentKarynNarramore
Β 
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint b
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint bSedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint b
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint bColleen Sedgwick
Β 
PowerPoint Presentation On giving effective PowerPoint Presentations
PowerPoint Presentation On giving effective PowerPoint PresentationsPowerPoint Presentation On giving effective PowerPoint Presentations
PowerPoint Presentation On giving effective PowerPoint PresentationsAmanda Gilmore
Β 
mathexamlol.pptx
mathexamlol.pptxmathexamlol.pptx
mathexamlol.pptxSABARIk18
Β 
Arts & Crafts: 5 Tips for Becoming a Better Marketer-Designer
Arts & Crafts: 5 Tips for Becoming a Better Marketer-DesignerArts & Crafts: 5 Tips for Becoming a Better Marketer-Designer
Arts & Crafts: 5 Tips for Becoming a Better Marketer-DesignerBen Ratner
Β 
Yellow, Green and Violet College Newsletter Presentation.pptx
Yellow, Green and Violet College Newsletter Presentation.pptxYellow, Green and Violet College Newsletter Presentation.pptx
Yellow, Green and Violet College Newsletter Presentation.pptxAlex88125
Β 
Obiee and Essbase Integration | MindStream Analysis
Obiee and Essbase Integration | MindStream AnalysisObiee and Essbase Integration | MindStream Analysis
Obiee and Essbase Integration | MindStream Analysismindstremanalysis
Β 
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User Group
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User GroupSeatug Presentation (Excel to Data Viz culture) Seattle Tableau User Group
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User GroupRussell Spangler
Β 
1.2 How to Fill Your Sales Pipeline with Cold Emailing
1.2 How to Fill Your Sales Pipeline with Cold Emailing 1.2 How to Fill Your Sales Pipeline with Cold Emailing
1.2 How to Fill Your Sales Pipeline with Cold Emailing Rod Sloane
Β 
Lean Startup Workshop for Startup Leadership Program
Lean Startup Workshop for Startup Leadership ProgramLean Startup Workshop for Startup Leadership Program
Lean Startup Workshop for Startup Leadership ProgramAlex Cowan
Β 
Twf homepagedesign sb_okey
Twf homepagedesign sb_okeyTwf homepagedesign sb_okey
Twf homepagedesign sb_okeyLimeRed Studio
Β 

Similar to Extreme MakeOver: PowerPoint Edition (20)

How to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and CortanaHow to Get Lightning Fast Answers with Power BI Q&A and Cortana
How to Get Lightning Fast Answers with Power BI Q&A and Cortana
Β 
How to Create Memorable Data Visualizations
How to Create Memorable Data VisualizationsHow to Create Memorable Data Visualizations
How to Create Memorable Data Visualizations
Β 
Lean Analytics & Analytics Dashboards
Lean Analytics & Analytics DashboardsLean Analytics & Analytics Dashboards
Lean Analytics & Analytics Dashboards
Β 
Data Visualization and Dashboard Design
Data Visualization and Dashboard DesignData Visualization and Dashboard Design
Data Visualization and Dashboard Design
Β 
Data driven storytelling tips from an iron viz champion ryan sleeper
Data driven storytelling tips from an iron viz champion   ryan sleeperData driven storytelling tips from an iron viz champion   ryan sleeper
Data driven storytelling tips from an iron viz champion ryan sleeper
Β 
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVC
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVCCreating Presentations That Matter - A 1-day workshop (May 4th) at SVC
Creating Presentations That Matter - A 1-day workshop (May 4th) at SVC
Β 
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...
Tell Your Library's Story with Infographics: Tips From an Accidental Graphic ...
Β 
Business process creative environment
Business process   creative environmentBusiness process   creative environment
Business process creative environment
Β 
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint b
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint bSedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint b
Sedgwick e0498336-d0105-sp7-module 01-30537a-checkpoint b
Β 
PowerPoint Presentation On giving effective PowerPoint Presentations
PowerPoint Presentation On giving effective PowerPoint PresentationsPowerPoint Presentation On giving effective PowerPoint Presentations
PowerPoint Presentation On giving effective PowerPoint Presentations
Β 
mathexamlol.pptx
mathexamlol.pptxmathexamlol.pptx
mathexamlol.pptx
Β 
Arts & Crafts: 5 Tips for Becoming a Better Marketer-Designer
Arts & Crafts: 5 Tips for Becoming a Better Marketer-DesignerArts & Crafts: 5 Tips for Becoming a Better Marketer-Designer
Arts & Crafts: 5 Tips for Becoming a Better Marketer-Designer
Β 
upload.pdf
upload.pdfupload.pdf
upload.pdf
Β 
Yellow, Green and Violet College Newsletter Presentation.pptx
Yellow, Green and Violet College Newsletter Presentation.pptxYellow, Green and Violet College Newsletter Presentation.pptx
Yellow, Green and Violet College Newsletter Presentation.pptx
Β 
Obiee and Essbase Integration | MindStream Analysis
Obiee and Essbase Integration | MindStream AnalysisObiee and Essbase Integration | MindStream Analysis
Obiee and Essbase Integration | MindStream Analysis
Β 
Is Data Driving Your Budget Planning & Decisions?
Is Data Driving Your Budget Planning & Decisions? Is Data Driving Your Budget Planning & Decisions?
Is Data Driving Your Budget Planning & Decisions?
Β 
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User Group
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User GroupSeatug Presentation (Excel to Data Viz culture) Seattle Tableau User Group
Seatug Presentation (Excel to Data Viz culture) Seattle Tableau User Group
Β 
1.2 How to Fill Your Sales Pipeline with Cold Emailing
1.2 How to Fill Your Sales Pipeline with Cold Emailing 1.2 How to Fill Your Sales Pipeline with Cold Emailing
1.2 How to Fill Your Sales Pipeline with Cold Emailing
Β 
Lean Startup Workshop for Startup Leadership Program
Lean Startup Workshop for Startup Leadership ProgramLean Startup Workshop for Startup Leadership Program
Lean Startup Workshop for Startup Leadership Program
Β 
Twf homepagedesign sb_okey
Twf homepagedesign sb_okeyTwf homepagedesign sb_okey
Twf homepagedesign sb_okey
Β 

Recently uploaded

DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdf
DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdfDIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdf
DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdfmayanksharma0441
Β 
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garside
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon GarsideInbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garside
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garsiderobwhite630290
Β 
ASO Process: What is App Store Optimization
ASO Process: What is App Store OptimizationASO Process: What is App Store Optimization
ASO Process: What is App Store OptimizationAli Raza
Β 
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdf
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdfResearch and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdf
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdfVWO
Β 
Forecast of Content Marketing through AI
Forecast of Content Marketing through AIForecast of Content Marketing through AI
Forecast of Content Marketing through AIRinky
Β 
GreenSEO April 2024: Join the Green Web Revolution
GreenSEO April 2024: Join the Green Web RevolutionGreenSEO April 2024: Join the Green Web Revolution
GreenSEO April 2024: Join the Green Web RevolutionWilliam Barnes
Β 
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...Hugues Rey
Β 
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”soniya singh
Β 
pptx.marketing strategy of tanishq. pptx
pptx.marketing strategy of tanishq. pptxpptx.marketing strategy of tanishq. pptx
pptx.marketing strategy of tanishq. pptxarsathsahil
Β 
Exploring The World Of Adult Ad Networks.pdf
Exploring The World Of Adult Ad Networks.pdfExploring The World Of Adult Ad Networks.pdf
Exploring The World Of Adult Ad Networks.pdfmarcuslary231
Β 
Influencer Marketing Power point presentation
Influencer Marketing  Power point presentationInfluencer Marketing  Power point presentation
Influencer Marketing Power point presentationdgtivemarketingagenc
Β 
marketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfmarketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfarsathsahil
Β 
Common Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityCommon Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityMonishka Adhikari
Β 
McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)DEVARAJV16
Β 
BrightonSEO - Addressing SEO & CX - CMDL - Apr 24 .pptx
BrightonSEO -  Addressing SEO & CX - CMDL - Apr 24 .pptxBrightonSEO -  Addressing SEO & CX - CMDL - Apr 24 .pptx
BrightonSEO - Addressing SEO & CX - CMDL - Apr 24 .pptxcollette15
Β 
Storyboards for my Final Major Project Video
Storyboards for my Final Major Project VideoStoryboards for my Final Major Project Video
Storyboards for my Final Major Project VideoSineadBidwell
Β 
What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?Juan Pineda
Β 
The Skin Games 2024 25 - Sponsorship Deck
The Skin Games 2024 25 - Sponsorship DeckThe Skin Games 2024 25 - Sponsorship Deck
The Skin Games 2024 25 - Sponsorship DeckToluwanimi Balogun
Β 
The Impact of Digital Technologies
The Impact of Digital Technologies The Impact of Digital Technologies
The Impact of Digital Technologies bruguardarib
Β 
2024 SEO Trends for Business Success (WSA)
2024 SEO Trends for Business Success (WSA)2024 SEO Trends for Business Success (WSA)
2024 SEO Trends for Business Success (WSA)Jomer Gregorio
Β 

Recently uploaded (20)

DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdf
DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdfDIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdf
DIGITAL MARKETING STRATEGY_INFOGRAPHIC IMAGE.pdf
Β 
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garside
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon GarsideInbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garside
Inbound Marekting 2.0 - The Paradigm Shift in Marketing | Axon Garside
Β 
ASO Process: What is App Store Optimization
ASO Process: What is App Store OptimizationASO Process: What is App Store Optimization
ASO Process: What is App Store Optimization
Β 
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdf
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdfResearch and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdf
Research and Discovery Tools for Experimentation - 17 Apr 2024 - v 2.3 (1).pdf
Β 
Forecast of Content Marketing through AI
Forecast of Content Marketing through AIForecast of Content Marketing through AI
Forecast of Content Marketing through AI
Β 
GreenSEO April 2024: Join the Green Web Revolution
GreenSEO April 2024: Join the Green Web RevolutionGreenSEO April 2024: Join the Green Web Revolution
GreenSEO April 2024: Join the Green Web Revolution
Β 
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
(Generative) AI & Marketing: - Out of the Hype - Empowering the Marketing M...
Β 
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Call Girls in Lajpat Nagar Delhi πŸ’―Call Us πŸ”8264348440πŸ”
Β 
pptx.marketing strategy of tanishq. pptx
pptx.marketing strategy of tanishq. pptxpptx.marketing strategy of tanishq. pptx
pptx.marketing strategy of tanishq. pptx
Β 
Exploring The World Of Adult Ad Networks.pdf
Exploring The World Of Adult Ad Networks.pdfExploring The World Of Adult Ad Networks.pdf
Exploring The World Of Adult Ad Networks.pdf
Β 
Influencer Marketing Power point presentation
Influencer Marketing  Power point presentationInfluencer Marketing  Power point presentation
Influencer Marketing Power point presentation
Β 
marketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdfmarketing strategy of tanishq word PPROJECT.pdf
marketing strategy of tanishq word PPROJECT.pdf
Β 
Common Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic CreativityCommon Culture: Paul Willis Symbolic Creativity
Common Culture: Paul Willis Symbolic Creativity
Β 
McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)McDonald's: A Journey Through Time (PPT)
McDonald's: A Journey Through Time (PPT)
Β 
BrightonSEO - Addressing SEO & CX - CMDL - Apr 24 .pptx
BrightonSEO -  Addressing SEO & CX - CMDL - Apr 24 .pptxBrightonSEO -  Addressing SEO & CX - CMDL - Apr 24 .pptx
BrightonSEO - Addressing SEO & CX - CMDL - Apr 24 .pptx
Β 
Storyboards for my Final Major Project Video
Storyboards for my Final Major Project VideoStoryboards for my Final Major Project Video
Storyboards for my Final Major Project Video
Β 
What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?What are the 4 characteristics of CTAs that convert?
What are the 4 characteristics of CTAs that convert?
Β 
The Skin Games 2024 25 - Sponsorship Deck
The Skin Games 2024 25 - Sponsorship DeckThe Skin Games 2024 25 - Sponsorship Deck
The Skin Games 2024 25 - Sponsorship Deck
Β 
The Impact of Digital Technologies
The Impact of Digital Technologies The Impact of Digital Technologies
The Impact of Digital Technologies
Β 
2024 SEO Trends for Business Success (WSA)
2024 SEO Trends for Business Success (WSA)2024 SEO Trends for Business Success (WSA)
2024 SEO Trends for Business Success (WSA)
Β 

Extreme MakeOver: PowerPoint Edition

  • 1. Extreme Makeover: PowerPoint edition Q - R E S E A R C H S O F T W A R E . C O M W E B I N A R BEFORE
  • 2.
  • 3.
  • 4. Today’s MAKEOVER event! 1. 5 design tips for better-looking slides 2. MAKEOVER charts - to tell a clearer story 3. Automation of PowerPoint charting 4. Complementing with online reporting
  • 5. Today’s MAKEOVER event! 1. 5 design tips for better-looking slides 2. MAKEOVER charts - to tell a clearer story 3. Automation of PowerPoint charting 4. Complementing with online reporting Market Research Data Science Graphic Design Customer Success
  • 7. Trying to highlight some interesting bits
  • 8. Title relating to topic area Possible sub-title Question name Footer info (eg; base) Bit of commentary that is mostly descriptive and obvious.
  • 9. Summary Implications Lazy market research PowerPoint report structure
  • 11. The story makes the numbers interesting. The numbers make the story credible.
  • 12. Title relating to topic area xxx Possible sub-title Question name Footer info (eg; base) Bit of commentary that is mostly descriptive and obvious. Arresting insight headline that links to the research problem! Key points Clear & captivating charts / figures / mnemonics Linking data Main point is the data, or we just say something about it that may eventually link to story The main point tells story, which is supported by data Data-focused Story-focused
  • 14. And reporting…! ANALYSIS β€’ Shortcuts to finding the story β€’ DIY advanced analysis β€’ Instant updates (no syntax required) REPORTING β€’ Greater array of visualizations β€’ Directly generate charts in PPT (and tables) β€’ Automatic updating of slides
  • 15. ONE CLICK OLD SCHOOL Q β€’ Cut and paste data β€’ Manipulating data β€’ Checking for errors β€’ Finding and fixing errors β€’ Repeat (x1000)
  • 16. More time to do more of this! Help to make these+ = Time is of the essence as a researcher! Save time doing this
  • 17. For charts and slides DESIGN TIPS 5
  • 18. 1 Design tip 1: Good colour οƒΌ Selective use οƒΌ Generate a palette – eg: https://coolors.co/ οƒΌ Consider tone (grayscale) οƒΌ Set up in Slide Master
  • 19.
  • 21. Divergent scale? 4% 9% 13% 12% 14% 16% 7% 12% 19% 17% 29% 25% 15% 34% 25% 31% 23% 42% 42% 8% 17% 24% 11% 5% 32% 38% 26% 17% 24% 13% Coca-Cola Pepsi Coke Zero Pepsi Max Diet Coke Diet Pepsi Hate Dislike Neither like nor dislike Like Love -100 -50 0 50 100 -100 -50 0 50 100
  • 23. Better in black and white 4% 9% 13% 12% 14% 16% 7% 12% 19% 17% 29% 25% 15% 34% 25% 31% 23% 42% 42% 8% 17% 24% 11% 5% 32% 38% 26% 17% 24% 13% Coca-Cola Pepsi Coke Zero Pepsi Max Diet Coke Diet Pepsi Hate Dislike Neither like nor dislike Like Love
  • 24. Better in black and white
  • 25. In addition to sorting: οƒΌ Use color gradient οƒΌ Decreasing size Coke Zero - When 'at home' Coca-Cola - When 'at home' Coke Zero - When 'out and about' Diet Coke - When 'at home' Pepsi Max - When 'at home' Coca-Cola - When 'out and about' Pepsi Max - When 'out and about' Diet Coke - When 'out and about' Pepsi - When 'at home' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Diet Pepsi - When 'at home' 2 Design tip 2: Scale color/size
  • 26. Coke Zero - When 'at home' Coca-Cola - When 'at home' Coke Zero - When 'out and about' Diet Coke - When 'at home' Pepsi Max - When 'at home' Coca-Cola - When 'out and about' Pepsi Max - When 'out and about' Diet Coke - When 'out and about' Pepsi - When 'at home' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Diet Pepsi - When 'at home' BEFORE
  • 27. Coke Zero - When 'at home' Coca-Cola - When 'at home' Coke Zero - When 'out and about' Diet Coke - When 'at home' Pepsi Max - When 'at home' Coca-Cola - When 'out and about' Pepsi Max - When 'out and about' Diet Coke - When 'out and about' Pepsi - When 'at home' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Diet Pepsi - When 'at home' 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
  • 28.
  • 29. οƒΌ Arrange content on slide into implicit rectangles 3 Design tip 3: Form rectangles
  • 30. 0% 20% 40% 60% 80% Colleague recommendation Previous work together Affordability of services National reputation Local knowledge Content expertise Demonstration of results % selecting given attribute Demonstration effectiveness is most important consideration when selecting a provider In general, what attributes are the most important to you in selecting a service provider? (Choose up to 3) Affordability and experience working together previously, which were hypothesized to be very important in the decision making process, were both cited less frequently as important attributes. Survey shows that demonstration of results is the single most important dimension when choosing a service provider.
  • 31. 0% 20% 40% 60% 80% Demonstration of results Content expertise Local knowledge National reputation Affordability of services Previous work together Colleague recommendation % selecting given attribute In general, what attributes are the most important to you in selecting a service provider? (Choose up to 3) Demonstration of results is the single most important dimension when choosing a service provider. Affordability and experience working together previously, which were hypothesized to be important in the decision-making process, were both cited less frequently as important attributes. Demonstration effectiveness is most important consideration when selecting a provider
  • 32. 0% 20%40%60%80% Colleague recommendation Previous work together Affordability of services National reputation Local knowledge Content expertise Demonstration of results % selecting given attribute Demonstration effectiveness is most important consideration when selecting a provider In general, what attributes are the most important to you in selecting a service provider? Survey shows that demonstration of results is the single most important dimension when choosing a service provider. Affordability and experience working together previously, which were hypothesized to be very important in the decision making process, were both cited less frequently as important attributes. 0% 20% 40% 60% 80% Demonstration of results Content expertise Local knowledge National reputation Affordability of services Previous work together Colleague recommendation % selecting given attribute In general, what attributes are the most important to you in selecting a service provider? (Choose up to 3) Demonstration of results is the single most important dimension when choosing a service provider. Affordability and experience working together previously, which were hypothesized to be important in the decision-making process, were both cited less frequently as important attributes. Demonstration effectiveness is most important consideration when selecting a provider BEFORE
  • 33. οƒΌLegends require additional eye movement = more work! 4 Design tip 4: Avoid legends
  • 34. 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 Coca-Cola Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max BEFORE
  • 35. 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi
  • 36. οƒΌ Changing the size of slopes on charts to have an average value of around 45Β°. 45Β° 5 Design tip 5: Bank to 45 degrees
  • 37. 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 BEFORE Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi
  • 38. 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 45Β° Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi
  • 39. 0 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 50 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 100 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 150 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 200 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 250 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 300 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 350 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 400 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 450 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š January 2017 February 2017 March 2017 April 2017 May 2017 June 2017 Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi
  • 40. Simple can be harder than complex: You have to work hard to get your thinking clean to make it simple. But it’s worth it in the end because once you get there, you can move mountains. S T E V E J O B S
  • 42.
  • 43. SORT BY MAGNITUDE PLEASE! 91% 65% 26% 22% 11% 10% 6% 2% 1% traditional older rebellious open to new experiences innocent sleepy feminine health-conscious weight-conscious BEFORE
  • 44. 91% 65% 26% 22% 11% 10% 6% 2% 1% traditional older rebellious open to new experiences innocent sleepy feminine health-conscious weight-conscious SORT BY MAGNITUDE PLEASE!
  • 47. 43% 38% 26% 11% 8% 6% 6% 6% 10% Apple Google Coca-Cola Microsoft Toyota IBM Samsung Amazon NET Other POPPING POINTS INTO AN β€œOTHER” CATEGORYPOPPING POINTS INTO AN β€œOTHER” CATEGORY
  • 48. OR JUST USE A FOOTNOTE 43% 38% 26% 11% 8% 6% 6% 6% Apple Google Coca-Cola Microsoft Toyota IBM Samsung Amazon All other brands <4% mentions (full list in Appendix)
  • 50. TRY THE TREE MAP? (EMPHASIZES SHARE OF RESPONSE)
  • 51. PIE CHARTS = SHOWING PROPORTIONALITY 52 48 Leave Remain Brexit Referendum BEFORE
  • 52. 52 48 Brexit Referendum Leave Remain PIE CHARTS = SHOWING PROPORTIONALITY
  • 53. Chrome 48.0, 42% IE 11.0, 10% Firefox 44.0, 7% Safari iPad, 5% Chrome for Android, 4% Firefox 43.0, 4% Safari 9.0, 3% Chrome 47.0, 2% Edge 13, 1% Android 0, 1% IE 8.0, 1% IE 9.0, 1% IE 10.0, 1% Opera 35.0, 1% Other, 1% Chrome 45.0, 1%Chrome 46.0, 1%Chrome 43.0, 1%Chrome 31.0, 1% Safari 8.0, 1% Chrome 44.0, 1% Edge 12, 0%Firefox 38.0, 0%Chrome iPad, 0%Firefox 42.0, 0%Firefox 45.0, 0%Firefox 31.0, 0%Opera 34.0, 0%Chrome 41.0, 0%Opera 12.1, 0%Chrome 42.0, 0% Chrome 39.0, 0% Firefox 41.0, 0%Chrome 50.0, 0%Chrome 49.0, 0%Firefox 39.0, 0% Yandex Browser 15.12, 0% Yandex Browser 16.2, 0% Chrome 40.0, 0%Safari 6.1, 0%Maxthon 4.4, 0%Firefox 37.0, 0% 360 Safe Browser 0, 0% Chrome 33.0, 0%Chrome 36.0, 0%Chrome 35.0, 0%Firefox 35.0, 0%Chrome 37.0, 0%Chrome 38.0, 0%Safari 6.2, 0%Firefox 36.0, 0%Safari 5.0, 0% TOO MANY LABELS ON A PIE CHART! BEFORE
  • 54. VISUALIZATION SOFTWARE SORTS THE LABELS FOR YOU
  • 56. MY FAILED ATTEMPT TO MAKE A DONUT WITHIN POWERPOINT
  • 57. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Feminine Health Innocent Older OpenRebellious Sleepy Traditional Weight Coke Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max EVER SEEN A BRAND β€œFOOTPRINT”? BEFORE
  • 60. 60 % Feminine Health Innocent Older Open Rebellious Sleepy Traditional Weight Coke 6% 2% 10% 64% 22% 25% 9% 91% 1% Diet Coke 56% 58% 22% 23% 9% 5% 24% 16% 76% Coke Zero 22% 54% 11% 6% 51% 56% 10% 3% 63% Pepsi 9% 3% 10% 38% 17% 18% 13% 55% 0% Diet Pepsi 61% 58% 45% 11% 17% 4% 30% 4% 77% Pepsi Max 9% 31% 7% 7% 49% 45% 6% 5% 40% HEAT MAP IS AN EASY-HACK… BUT A BIT β€œWALL OF NUMBERS”
  • 64. Total sample; Unweighted; base n = 600 TYPICAL SCALE QUESTION BEFORE 4% 9% 13% 12% 14% 16% 7% 12% 19% 17% 29% 25% 15% 34% 25% 31% 23% 42% 42% 8% 17% 24% 11% 5% 32% 38% 26% 17% 24% 13% Coca-Cola Pepsi Coke Zero Pepsi Max Diet Coke Diet Pepsi Hate Dislike Neither like nor dislike Like Love
  • 65. Total sample; Unweighted; base n = 600 74 46 44 41 35 19 Coca-Cola Pepsi Coke Zero Pepsi Max Diet Coke Diet Pepsi Hate Dislike Like Love NEGATIVE SWING + SORT + MILLER’S LAW + TOP 2 BOX
  • 66. Nett 6-10 (top 4 box) Mean score 83 ↑ 7.4 ↑ 83 ↑ 7.4 ↑ 81 ↑ 7.3 ↑ 77 ↑ 7.2 ↑ 75 ↑ 7.0 ↑ 75 ↑ 7.0 ↑ 73 6.9 ↑ 71 6.8 71 7.0 ↑ 69 6.7 69 6.7 66 6.6 ↓ 65 ↓ 6.6 ↓ 61 ↓ 6.3 ↓ 58 ↓ 6.2 ↓ 35 ↓ 4.8 ↓ WHAT’S THE STORY HERE? All figures are %’s 66 13 13 14 13 15 17 20 21 21 23 23 22 20 26 25 24 27 21 12 12 10 12 14 12 13 14 11 11 10 14 13 15 12 8 20 20 23 19 18 21 21 19 17 21 20 18 17 17 18 10 23 19 22 22 23 21 19 20 21 18 18 17 17 14 14 8 15 11 11 11 10 9 9 7 8 8 10 8 9 7 7 5 14 18 14 14 10 10 9 9 11 10 11 9 9 8 7 5 Attribute A Attribute F Attribute E Attribute P Attribute D Attribute G Attribute X Attribute Q Attribute C Attribute J Attribute L Attribute H Attribute M Attribute Q Attribute B Attribute V 0 1 2 3 4 5 6 7 8 9 10 WHAT’S THE STORY HERE? BEFORE
  • 67. WHAT’S THE STORY HERE? 67 SIMPLIFY! -19 17 Attribute A Attribute F Attribute E Attribute P Attribute D Attribute G Attribute X Attribute Q Attribute C Attribute J Attribute L Attribute H Attribute M Attribute Q Attribute B Attribute V
  • 68. 0% 10% 20% 30% 40% 50% 60% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+ Coca-Cola Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max HARD TO FOLLOW THE TREND OVER AGE BEFORE
  • 69. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+ Coca-Cola Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max STACKED FOR FORCED-CHOICE RESPONSE
  • 70. 55% 53% 53% 25% 33% 43% 35% 3% 9% 21% 21% 5% 6% 13% 16% 10% 21% 21% 26% 22% 14% 5% 12% 5% 19% 26% 7% 7% 18% 16% 12% 9% 19% 25% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+ AREA + REMOVE LEGEND Coca-Cola Diet Coke Coke Zero Pepsi Max Pepsi Diet Pepsi
  • 71. NO & DON’T KNOW ARE REDUNDANT! BEFORE 69% 66% 59% 59% 49% 51% 56% 15% 24% 21% 21% 25% 27% 30% 16% 10% 21% 21% 26% 22% 14% 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+ Don't know No Yes
  • 72. ADD A TREND LINE (BANKED TO 45-DEGREES) 69% 66% 59% 59% 49% 51% 56% 40% 45% 50% 55% 60% 65% 70% 75% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
  • 73. GRADIENT APPLIED TO AREA CHART + TREND ARROW OVERLAY 40% 45% 50% 55% 60% 65% 70% 75% Under 30 30 to 34 35 to 39 40 to 44 45 to 49 50 to 54 55+
  • 74. USE LINE CHARTS FOR TRENDS!
  • 75. 75 1.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š0.6 ↓ 0.9 ↓ 2.4 ↑ 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 4.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š Qtr 1 Qtr 2 Qtr 3 Coca-Cola - When 'out and about' Diet Coke - When 'out and about' Coke Zero - When 'out and about' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Pepsi Max - When 'out and about' Coca-Cola - When 'at home' Diet Coke - When 'at home' Coke Zero - When 'at home' Pepsi - When 'at home' Diet Pepsi - When 'at home' Pepsi Max - When 'at home' BUT TREND/LINE CHARTS CAN LOOK LIKE SPAGHETTI BEFORE
  • 76. 76 4.1 3.1 2.4 1.9 1.9 1.6 1.1 0.7 0.4 0.4 0.3 0.1 Coke Zero - When 'at home' Coca-Cola - When 'at home' Coke Zero - When 'out and about' Diet Coke - When 'at home' Pepsi Max - When 'at home' Coca-Cola - When 'out and about' Pepsi Max - When 'out and about' Diet Coke - When 'out and about' Pepsi - When 'at home' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Diet Pepsi - When 'at home' 0.6 0.9 2.4 Qtr 1 Qtr 2 Qtr 3 Q2: How many colas have you consumed? Base: All, all quarters base n = 200. SPARKLINES! (SMALL MULTIPLES)
  • 77. 77 1.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.7 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š0.6 ↓ 0.9 ↓ 2.4 ↑ 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.3 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 2.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.8 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 3.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 4.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.5 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.4 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.2 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 0.1 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.6 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š 1.9 β€Šβ€Šβ€Šβ€Šβ€Šβ€Šβ€Š Qtr 1 Qtr 2 Qtr 3 Coca-Cola - When 'out and about' Diet Coke - When 'out and about' Coke Zero - When 'out and about' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Pepsi Max - When 'out and about' Coca-Cola - When 'at home' Diet Coke - When 'at home' Coke Zero - When 'at home' Pepsi - When 'at home' Diet Pepsi - When 'at home' Pepsi Max - When 'at home' BUT TREND/LINE CHARTS CAN LOOK LIKE SPAGHETTI BEFORE
  • 78. 78 4.1 3.1 2.4 1.9 1.9 1.6 1.1 0.7 0.4 0.4 0.3 0.1 Coke Zero - When 'at home' Coca-Cola - When 'at home' Coke Zero - When 'out and about' Diet Coke - When 'at home' Pepsi Max - When 'at home' Coca-Cola - When 'out and about' Pepsi Max - When 'out and about' Diet Coke - When 'out and about' Pepsi - When 'at home' Pepsi - When 'out and about' Diet Pepsi - When 'out and about' Diet Pepsi - When 'at home' 0.6 0.9 2.4 Qtr 1 Qtr 2 Qtr 3 Q2: How many colas have you consumed? Base: All, all quarters base n = 200. SPARKLINES! (SMALL MULTIPLES)
  • 80. SMALL MULTIPLES OF NPS! (CHEAT: SPARKLINES MADE IN Q)
  • 81. VISUALIZATION ALTERNATIVE (NOTE: COULD BE HAND-CRAFTED IN PPT)
  • 82. 0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100% Feminine Health Innocent Older OpenRebellious Sleepy Traditional Weight Coke Diet Coke Coke Zero Pepsi Diet Pepsi Pepsi Max SO I’M NOT A FAN OF BRAND FOOTPRINTS BEFORE
  • 83. Feminine Health Innocent Older OpenRebellious Sleepy Traditional Weight Average Coke BUT IT DOES WORK BETTER AS SMALL MULTIPLES (VS. AVERAGE BLOB) Feminine Health Innocent Older OpenRebellious Sleepy Traditional Weight Average Coke Zero Feminine Health Innocent Older OpenRebellious Sleepy Traditional Weight Average Diet Coke
  • 85.