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www.kddanalytics.com
Who are we?
A team of statisticians, economists, business and
industry subject matter experts;
Specialists in database marketing analytics (market
sizing; market simulation; segmentation; predictive
prospect, campaign and churn scoring; etc), with
extensive experience in the B2B space;
Data junkies who love to get their hands dirty
integrating, cleaning, modeling and visualizing client
and 3rd party databases;
Experienced professionals with particularly deep
experience in the telecom, IT and energy industries.
www.kddanalytics.com
Who do we serve?
Our clients range from large providers of B2B
marketing data to small consulting groups;
We typically wholesale our services but can
and have worked directly with end users.

www.kddanalytics.com
What do we do?
Simply put, we help you help your clients make more
informed decisions via data analytics:
Statistical Modeling

Data Modeling
•Market Sizing

•Prospect/Campaign Scoring

•Market Simulation

•Customer Churn Scoring
•Forecasting

Cross pollination

•Market Opportunity Mapping

•Segmentation

•Data Integration

•Survey Sample Design

•Customer Profiling
•Data Visualization

•Demand/Price Elasticity
Estimation

What do
we know?

www.kddanalytics.com

How can we
organize it?

Can we predict
what will happen?
Statistical Modeling
Predictive modeling is
all about finding more of
those you wish to find.

Scoring…
Best
customers

What you
want to
find

Churners

Modeling

Buyers
Responders
Competitors

Attributes

Using model
identifies more
prospects than using
no model = “lift”

www.kddanalytics.com

Target
Target
Population
Population

Target list
scored from
most likely
prospect to
least.

ID
105343236
138021163
147116482
201002390
101047263
202075210
123136008
105639354
106080974
111180060
134079517
144439822
207068360
114185643
124073515
143104099
138019692
134110988
144390826
132020465
134107700
120017332
141080328
133209000
136196993
144430916
118052109
110296359
207093595
207057547

PERCENTILE
6
8
16
17
19
19
19
21
24
24
28
29
36
37
37
40
40
46
49
57
62
71
73
74
75
77
81
84
86
97
Statistical Modeling
Churn Likelihood

Customer Churn…

0.60
Median Tenure

Churn Probability

Internal Validation - Lift Analysis
3.50

Cum Lift

Lift

Baseline

3.00

Top decile 2.3
times average
predicted churn
potential

Lift

2.50
2.00

FULL

0.50

CARE

BDM

PAM

Mean Tenure

0.40

0.30

0.20

0.10

0.00
0

1.50

1000

2000

3000

4000

5000

Tenure (days)

1.00

External Validation - Lift Analysis

0.50
0.00 3.00
1

2

3

4

2.50

5

Cum Lift

6

7

Decile

9

Baseline

10

Top decile 1.6
times average
predicted churn
potential

2.00
Lift

Lift

8

1.50
1.00
0.50
0.00
1

2

3

www.kddanalytics.com

4

5

6

Decile

7

8

9

10

Models should be validated on
data external to the modeling
sample; such as the ~1,400
additional accounts which
churned in the month
following the model build.

6000
Statistical Modeling
Customer segmentation can be
Customer segmentation
made actionable by enhancing
enhanced with
with opportunity mapping…
opportunity mapping.

Segmentation…

Segment
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
Total
Segments

Customers
(sites)

Percent

Market
(CiTDB)

Percent Penetration Segment

404

4.1%

33,362

0.9%

381
374
327
259
608
444
404
378
367
270
227
454
400
366
285
285
235
197
195
173
169
151
9,780
7,353

3.9%
3.8%
3.3%
2.6%
6.2%
4.5%
4.1%
3.9%
3.8%
2.8%
2.3%
4.6%
4.1%
3.7%
2.9%
2.9%
2.4%
2.0%
2.0%
1.8%
1.7%
1.5%
100.0%

92,016
40,582
52,166
55,559
119,341
104,702
96,113
135,668
11,703
49,856
119,048
143,270
190,813
232,119
16,929
88,629
83,420
24,242
27,189
59,592
6,974
79,154
3,593,931
1,862,447

2.6%
1.1%
1.5%
1.5%
3.3%
2.9%
2.7%
3.8%
0.3%
1.4%
3.3%
4.0%
5.3%
6.5%
0.5%
2.5%
2.3%
0.7%
0.8%
1.7%
0.2%
2.2%
100.0%

www.kddanalytics.com

1.2%

1

0.4%
2
0.9%
3
0.6%
4
0.5%
5
0.5%
6
0.4%
7
0.4%
8
0.3%
9
3.1%
10
0.5%
11
0.2%
12
0.3%
13
0.2%
14
0.2%
15
1.7%
16
0.3%
17
0.3%
18
0.8%
19
0.7%
20
0.3%
21
2.4%
22
0.2%
23
0.3%
Total
0.4% Segments

Average IT
Spend per
Employee:
Customers

Total IT
Spend ($M):
Customers
$

18 $

$
16
$
58
$
51
$
32
$
62
$
59
$
7
$
18
$Average IT 232
Spend (Gap)
$
97
$
179
$
104
$
13
$
13
$
351
$
145
$
77
$
41
$
124
$
19
$
806
$ Average
14
$
5,147
$
2,536

$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$

Average IT
Spend per
Employee:
NonCustomers

Total IT
Spend ($M):
NonCustomers

1,367 $
1,535 $
5,293 $
4,658 $
4,582 $
3,304 $
4,583 $
571 $
1,539 $
3,492 $
13,180 $
27,050 $
High
6,168 $
Spend/Low
938 $
1,158 $
Penetration
6,207 $
15,373 $
8,721 $
1,044 $
24,045 $
3,298 $
24,558 $
2,831 $
4,647 $
6,460 $

Low
Spend/Low
Penetration

836 $
2,379
3,825
4,065
4,112
7,716
6,880
1,391
3,853
12
6,787
9,447
35,355
13,294
3,453
5,600
17
11,710
23,923
12,574
3,986
9,523
4,056
24,195
18
3,864
507,689
13
202,824
21

1,331

$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$
$ 11
$
$
$
$
$
$
75
$
6

1,652
5,271
4,164
4,334
3,228
4,151
776
1,538
3,413
20
11,408
21,043
4,044
855
1,249
3,730
14,720
6,504
919
19,618
3,176
19,278
2,355
4,110
4
4,501

22

High
Spend/High
Penetration

3
16

23
15 9
14

2
8

Average

19

1

10

Low
Spend/High
Penetration
Market Penetration
Statistical Modeling
Time series and
econometric forecast
modeling.

Forecasting…
Non-Dynamic Simulation: 3 AR Model Average
1.60
1.40
1.20
1.00

Risk Signature

0.80
0.60

100%

44,000,000

90%

43,000,000

80%

0.40
0.20

70%

42,000,000

60%

11
/6
/2
2/ 005
6/
2
5/ 006
6/
2
8/ 006
6/
11 2 00
/6 6
/2
2/ 006
6/
2
5/ 007
6/
2
8/ 007
6/
11 2 00
/6 7
/2
2/ 007
6/
2
5/ 008
6/
2
8/ 008
6/
11 2 00
/6 8
/2
2/ 008
6/
2
5/ 009
6/
2
8/ 009
6/
11 2 00
/6 9
/2
2/ 009
6/
2
5/ 010
6/
2
8/ 010
6/
11 2 01
/6 0
/2
2/ 010
6/
20
11

0.00

41,000,000

50%

Hold Out Test (18 Months)

40,000,000

Actual

32,000,000

Average Predicted

39,000,000

MIN LC

40%

MAX UC

30%

31,000,000

38,000,000

20%
30,000,000

37,000,000
2014Q1

18_F_ARIMA(114)
18_F_LOG_ARIMA(112)
18_F_LOG_ARIMA(214)
12_F_ARIMA(214)
12_F_LOG_ARIMA(110)
6_F_LOG_ARIMA(211)
6_F_LOG_ARIMA(114)_GARCH(01)

10%

2014Q3

2015Q1
2015Q3
29,000,000

2016Q1

2016Q3
0%

± 2 S.E.

20
11
Q
20 4
12
Q
20 2
12
Q
20 4
13
Q
20 2
13
Q
20 4
14
Q
20 2
14
Q
20 4
15
Q
20 2
15
Q
20 4
16
Q
20 2
16
Q
20 4
17
Q
20 2
17
Q
20 4
18
Q
20 2
18
Q
20 4
19
Q
20 2
19
Q
20 4
20
Q
20 2
20
Q
20 4
21
Q
20 2
21
Q
20 4
22
Q
20 2
22
Q
4

CRAF_FC
28,000,000

Actual

27,000,000

18_F_ARIMA(114)
18_F_LOG_ARIMA(112)

26,000,000

18_F_LOG_ARIMA(214)

20
11
Q
3

20
11
Q
2

20
11
Q
1

20
10
Q
4

20
10
Q
3

20
10
Q
2

20
10
Q
1

20
09
Q
4

20
09
Q
3

20
09
Q
2

www.kddanalytics.com

20
09
Q
1

25,000,000
Statistical Modeling
Survey sample design…

www.kddanalytics.com

280 cell design to yield
representative sample of US
business sites with overall
1.3% sampling error.
Data Modeling
Data Integration…
…to eliminate database
whitespace or append a
new field, such as sales
revenue or IT spend, to a
particular business site or
customer.

Industry
Analyst
Reports

Private 3rd
Party Data

Commerce
Dept.

Gov’t
Agency
Budget
Reports

Census
Dept.
Bureau
Labor
Stats

10K Reports

Factors
(e.g. $/employee)

Client
Customer or
Marketing
Database
www.kddanalytics.com
Data Modeling
Market Sizing…
2008

Market size + Customer
Sales => Market Gap (how
many $ left on the table)

Market Potential
Total Spend (m)

Accounts

Spend per Account

Agriculture
Education
Education Other
F-I-RE

$

9,744

703,477

$

$

9,993

135,989

$

73,485

$

21,469

175,066

$

122,636

$

68,695

1,527,733

$

Health Services

$

21,173

932,780

$

Health Services Other
Manufacturing
Manufacturing Other
Mining/Construction
Public Administration
Retail
Services Other
Services-Personal
Transportation/Telecom
Wholesale

$

7,429

26,686

$

278,398

$

31,836

803,147

$

39,639

$

3,391

$

23,622

$

24,263

Total

$

$

58,709

$

129,777

$

78,797

$

25,721

$

32,207

546,828

13,852

44,966

2008

34,903 $
Agriculture
1,509,277 $
Education
293,066 $
Education Other
2,965,485 $
F-I-RE
1,480,184 Services
Health $

22,698

Client Bookings
(m)

Client Share

97,154

$

9,744

$

75

15,651

$

9,993

$

250

2.5%

82,790

$

21,469

$

200

0.9%

19,797

$

68,695

$

6,800

9.9%

87,676

$

21,173

$

3,000

14.2%

Other 18,045

$

7,429

$

575

7.7%

737,019 $
34,899
Manufacturing
866,932 $
Manufacturing Other 37,151
16,558,534 $
Mining/Construction 33,024

$

31,836

$

$

3,391

$

$

23,622

$

$

24,263

$

$

58,709

$

$

129,777

$

$

78,797

$

$

25,721

$

$

32,207

$

4,366,790 Services
Health $

Public Administration
Retail
Services Other
Services-Personal
Transportation/Telecom
Wholesale
Total

www.kddanalytics.com

Market Size (m)

$

546,828

$

1,200 F-I-RE

0.8%

Accounts

Gap
Value (m)

Value per Account

3,636 $

23,503

$

2,360 $

10,375

$

4,395,409

12.3%

2,679 $

3,435

$

1,282,042

49.5%

5,605 $

6,388

$

1,139,616

6,042 $

6,500

$

1,075,787

10,000 Manufacturing Other
7.7%

2,173 $

1,746

$

803,341

8,000 Public Administration
10.2%

5,956 $

3,879

$

651,282

44.7%

36,961 $

13,051

$

353,097

8.5%

10,735 $

2,742

$

255,387

64,500 Wholesale
11.8%
Mining/Construction
Education Other
Services-Personal
Agriculture
Retail
Total

6,654 $

1,546

$

232,377

6,714 $

1,362

$

202,822

16,407 $

2,713

$

165,362

19,466 $

2,569

$

131,958

1,571 $

153

$

97,141

33,408 $

627

$

18,758

3.8%

250 Transportation/Telecom
7.4%
2,900 Services Other
12,000 Education

5,000 Health Services Other
8.5%

11,500 Manufacturing
2,750 Health Services

160,369 $

80,588

$

6,464,684

502,515
Data Modeling
Market Simulation…

www.kddanalytics.com

Excel based models allowing
user to conduct “what if”
analyses by changing values
of model parameters.
Data Modeling
Data Visualization…

www.kddanalytics.com

Interactive Tableau
dashboards…see
www.kddanalytics.com
Data Modeling
KDD MarketPoint…

www.kddanalytics.com

Segmentation and prioritization
Segmentation and prioritization
solution driven by:
solution driven by:
* Clients’ customer data data
* Clients’ customer
* 3rd party enrichment data
* 3rd party enrichment
* KDDdata
Analytics
* KDD Analytics
Three components:
* MP Profile => “What”?
Three components:
* MP Opportunity => “Where”?
* MarketPoint Profile =>
“What”?
* MP Prospect => “Who”?
* MarketPoint Opportunity =>
Deliverables
“Where”?
* Static and interactive =>
* MarketPoint Prospect
dashboards/Excel workbooks
“Who”?
* Scored and ranked prospecting
lists
Deliverables
* Static and interactive
See www.kddanalytics.com.
dashboards/Excel workbooks
* Scored and ranked prospecting
lists
Contact Info
Let us know how we can help you:
info@kddanalytics.com
www.kddanalytics.com

www.kddanalytics.com

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KDD Analytics 2014 - Experts in Marketing Analytics

  • 1. An introduction to subtitle style Click to edit Masterour capabilities… v1.2 www.kddanalytics.com
  • 2. Who are we? A team of statisticians, economists, business and industry subject matter experts; Specialists in database marketing analytics (market sizing; market simulation; segmentation; predictive prospect, campaign and churn scoring; etc), with extensive experience in the B2B space; Data junkies who love to get their hands dirty integrating, cleaning, modeling and visualizing client and 3rd party databases; Experienced professionals with particularly deep experience in the telecom, IT and energy industries. www.kddanalytics.com
  • 3. Who do we serve? Our clients range from large providers of B2B marketing data to small consulting groups; We typically wholesale our services but can and have worked directly with end users. www.kddanalytics.com
  • 4. What do we do? Simply put, we help you help your clients make more informed decisions via data analytics: Statistical Modeling Data Modeling •Market Sizing •Prospect/Campaign Scoring •Market Simulation •Customer Churn Scoring •Forecasting Cross pollination •Market Opportunity Mapping •Segmentation •Data Integration •Survey Sample Design •Customer Profiling •Data Visualization •Demand/Price Elasticity Estimation What do we know? www.kddanalytics.com How can we organize it? Can we predict what will happen?
  • 5. Statistical Modeling Predictive modeling is all about finding more of those you wish to find. Scoring… Best customers What you want to find Churners Modeling Buyers Responders Competitors Attributes Using model identifies more prospects than using no model = “lift” www.kddanalytics.com Target Target Population Population Target list scored from most likely prospect to least. ID 105343236 138021163 147116482 201002390 101047263 202075210 123136008 105639354 106080974 111180060 134079517 144439822 207068360 114185643 124073515 143104099 138019692 134110988 144390826 132020465 134107700 120017332 141080328 133209000 136196993 144430916 118052109 110296359 207093595 207057547 PERCENTILE 6 8 16 17 19 19 19 21 24 24 28 29 36 37 37 40 40 46 49 57 62 71 73 74 75 77 81 84 86 97
  • 6. Statistical Modeling Churn Likelihood Customer Churn… 0.60 Median Tenure Churn Probability Internal Validation - Lift Analysis 3.50 Cum Lift Lift Baseline 3.00 Top decile 2.3 times average predicted churn potential Lift 2.50 2.00 FULL 0.50 CARE BDM PAM Mean Tenure 0.40 0.30 0.20 0.10 0.00 0 1.50 1000 2000 3000 4000 5000 Tenure (days) 1.00 External Validation - Lift Analysis 0.50 0.00 3.00 1 2 3 4 2.50 5 Cum Lift 6 7 Decile 9 Baseline 10 Top decile 1.6 times average predicted churn potential 2.00 Lift Lift 8 1.50 1.00 0.50 0.00 1 2 3 www.kddanalytics.com 4 5 6 Decile 7 8 9 10 Models should be validated on data external to the modeling sample; such as the ~1,400 additional accounts which churned in the month following the model build. 6000
  • 7. Statistical Modeling Customer segmentation can be Customer segmentation made actionable by enhancing enhanced with with opportunity mapping… opportunity mapping. Segmentation… Segment 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 Total Segments Customers (sites) Percent Market (CiTDB) Percent Penetration Segment 404 4.1% 33,362 0.9% 381 374 327 259 608 444 404 378 367 270 227 454 400 366 285 285 235 197 195 173 169 151 9,780 7,353 3.9% 3.8% 3.3% 2.6% 6.2% 4.5% 4.1% 3.9% 3.8% 2.8% 2.3% 4.6% 4.1% 3.7% 2.9% 2.9% 2.4% 2.0% 2.0% 1.8% 1.7% 1.5% 100.0% 92,016 40,582 52,166 55,559 119,341 104,702 96,113 135,668 11,703 49,856 119,048 143,270 190,813 232,119 16,929 88,629 83,420 24,242 27,189 59,592 6,974 79,154 3,593,931 1,862,447 2.6% 1.1% 1.5% 1.5% 3.3% 2.9% 2.7% 3.8% 0.3% 1.4% 3.3% 4.0% 5.3% 6.5% 0.5% 2.5% 2.3% 0.7% 0.8% 1.7% 0.2% 2.2% 100.0% www.kddanalytics.com 1.2% 1 0.4% 2 0.9% 3 0.6% 4 0.5% 5 0.5% 6 0.4% 7 0.4% 8 0.3% 9 3.1% 10 0.5% 11 0.2% 12 0.3% 13 0.2% 14 0.2% 15 1.7% 16 0.3% 17 0.3% 18 0.8% 19 0.7% 20 0.3% 21 2.4% 22 0.2% 23 0.3% Total 0.4% Segments Average IT Spend per Employee: Customers Total IT Spend ($M): Customers $ 18 $ $ 16 $ 58 $ 51 $ 32 $ 62 $ 59 $ 7 $ 18 $Average IT 232 Spend (Gap) $ 97 $ 179 $ 104 $ 13 $ 13 $ 351 $ 145 $ 77 $ 41 $ 124 $ 19 $ 806 $ Average 14 $ 5,147 $ 2,536 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ Average IT Spend per Employee: NonCustomers Total IT Spend ($M): NonCustomers 1,367 $ 1,535 $ 5,293 $ 4,658 $ 4,582 $ 3,304 $ 4,583 $ 571 $ 1,539 $ 3,492 $ 13,180 $ 27,050 $ High 6,168 $ Spend/Low 938 $ 1,158 $ Penetration 6,207 $ 15,373 $ 8,721 $ 1,044 $ 24,045 $ 3,298 $ 24,558 $ 2,831 $ 4,647 $ 6,460 $ Low Spend/Low Penetration 836 $ 2,379 3,825 4,065 4,112 7,716 6,880 1,391 3,853 12 6,787 9,447 35,355 13,294 3,453 5,600 17 11,710 23,923 12,574 3,986 9,523 4,056 24,195 18 3,864 507,689 13 202,824 21 1,331 $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ $ 11 $ $ $ $ $ $ 75 $ 6 1,652 5,271 4,164 4,334 3,228 4,151 776 1,538 3,413 20 11,408 21,043 4,044 855 1,249 3,730 14,720 6,504 919 19,618 3,176 19,278 2,355 4,110 4 4,501 22 High Spend/High Penetration 3 16 23 15 9 14 2 8 Average 19 1 10 Low Spend/High Penetration Market Penetration
  • 8. Statistical Modeling Time series and econometric forecast modeling. Forecasting… Non-Dynamic Simulation: 3 AR Model Average 1.60 1.40 1.20 1.00 Risk Signature 0.80 0.60 100% 44,000,000 90% 43,000,000 80% 0.40 0.20 70% 42,000,000 60% 11 /6 /2 2/ 005 6/ 2 5/ 006 6/ 2 8/ 006 6/ 11 2 00 /6 6 /2 2/ 006 6/ 2 5/ 007 6/ 2 8/ 007 6/ 11 2 00 /6 7 /2 2/ 007 6/ 2 5/ 008 6/ 2 8/ 008 6/ 11 2 00 /6 8 /2 2/ 008 6/ 2 5/ 009 6/ 2 8/ 009 6/ 11 2 00 /6 9 /2 2/ 009 6/ 2 5/ 010 6/ 2 8/ 010 6/ 11 2 01 /6 0 /2 2/ 010 6/ 20 11 0.00 41,000,000 50% Hold Out Test (18 Months) 40,000,000 Actual 32,000,000 Average Predicted 39,000,000 MIN LC 40% MAX UC 30% 31,000,000 38,000,000 20% 30,000,000 37,000,000 2014Q1 18_F_ARIMA(114) 18_F_LOG_ARIMA(112) 18_F_LOG_ARIMA(214) 12_F_ARIMA(214) 12_F_LOG_ARIMA(110) 6_F_LOG_ARIMA(211) 6_F_LOG_ARIMA(114)_GARCH(01) 10% 2014Q3 2015Q1 2015Q3 29,000,000 2016Q1 2016Q3 0% ± 2 S.E. 20 11 Q 20 4 12 Q 20 2 12 Q 20 4 13 Q 20 2 13 Q 20 4 14 Q 20 2 14 Q 20 4 15 Q 20 2 15 Q 20 4 16 Q 20 2 16 Q 20 4 17 Q 20 2 17 Q 20 4 18 Q 20 2 18 Q 20 4 19 Q 20 2 19 Q 20 4 20 Q 20 2 20 Q 20 4 21 Q 20 2 21 Q 20 4 22 Q 20 2 22 Q 4 CRAF_FC 28,000,000 Actual 27,000,000 18_F_ARIMA(114) 18_F_LOG_ARIMA(112) 26,000,000 18_F_LOG_ARIMA(214) 20 11 Q 3 20 11 Q 2 20 11 Q 1 20 10 Q 4 20 10 Q 3 20 10 Q 2 20 10 Q 1 20 09 Q 4 20 09 Q 3 20 09 Q 2 www.kddanalytics.com 20 09 Q 1 25,000,000
  • 9. Statistical Modeling Survey sample design… www.kddanalytics.com 280 cell design to yield representative sample of US business sites with overall 1.3% sampling error.
  • 10. Data Modeling Data Integration… …to eliminate database whitespace or append a new field, such as sales revenue or IT spend, to a particular business site or customer. Industry Analyst Reports Private 3rd Party Data Commerce Dept. Gov’t Agency Budget Reports Census Dept. Bureau Labor Stats 10K Reports Factors (e.g. $/employee) Client Customer or Marketing Database www.kddanalytics.com
  • 11. Data Modeling Market Sizing… 2008 Market size + Customer Sales => Market Gap (how many $ left on the table) Market Potential Total Spend (m) Accounts Spend per Account Agriculture Education Education Other F-I-RE $ 9,744 703,477 $ $ 9,993 135,989 $ 73,485 $ 21,469 175,066 $ 122,636 $ 68,695 1,527,733 $ Health Services $ 21,173 932,780 $ Health Services Other Manufacturing Manufacturing Other Mining/Construction Public Administration Retail Services Other Services-Personal Transportation/Telecom Wholesale $ 7,429 26,686 $ 278,398 $ 31,836 803,147 $ 39,639 $ 3,391 $ 23,622 $ 24,263 Total $ $ 58,709 $ 129,777 $ 78,797 $ 25,721 $ 32,207 546,828 13,852 44,966 2008 34,903 $ Agriculture 1,509,277 $ Education 293,066 $ Education Other 2,965,485 $ F-I-RE 1,480,184 Services Health $ 22,698 Client Bookings (m) Client Share 97,154 $ 9,744 $ 75 15,651 $ 9,993 $ 250 2.5% 82,790 $ 21,469 $ 200 0.9% 19,797 $ 68,695 $ 6,800 9.9% 87,676 $ 21,173 $ 3,000 14.2% Other 18,045 $ 7,429 $ 575 7.7% 737,019 $ 34,899 Manufacturing 866,932 $ Manufacturing Other 37,151 16,558,534 $ Mining/Construction 33,024 $ 31,836 $ $ 3,391 $ $ 23,622 $ $ 24,263 $ $ 58,709 $ $ 129,777 $ $ 78,797 $ $ 25,721 $ $ 32,207 $ 4,366,790 Services Health $ Public Administration Retail Services Other Services-Personal Transportation/Telecom Wholesale Total www.kddanalytics.com Market Size (m) $ 546,828 $ 1,200 F-I-RE 0.8% Accounts Gap Value (m) Value per Account 3,636 $ 23,503 $ 2,360 $ 10,375 $ 4,395,409 12.3% 2,679 $ 3,435 $ 1,282,042 49.5% 5,605 $ 6,388 $ 1,139,616 6,042 $ 6,500 $ 1,075,787 10,000 Manufacturing Other 7.7% 2,173 $ 1,746 $ 803,341 8,000 Public Administration 10.2% 5,956 $ 3,879 $ 651,282 44.7% 36,961 $ 13,051 $ 353,097 8.5% 10,735 $ 2,742 $ 255,387 64,500 Wholesale 11.8% Mining/Construction Education Other Services-Personal Agriculture Retail Total 6,654 $ 1,546 $ 232,377 6,714 $ 1,362 $ 202,822 16,407 $ 2,713 $ 165,362 19,466 $ 2,569 $ 131,958 1,571 $ 153 $ 97,141 33,408 $ 627 $ 18,758 3.8% 250 Transportation/Telecom 7.4% 2,900 Services Other 12,000 Education 5,000 Health Services Other 8.5% 11,500 Manufacturing 2,750 Health Services 160,369 $ 80,588 $ 6,464,684 502,515
  • 12. Data Modeling Market Simulation… www.kddanalytics.com Excel based models allowing user to conduct “what if” analyses by changing values of model parameters.
  • 13. Data Modeling Data Visualization… www.kddanalytics.com Interactive Tableau dashboards…see www.kddanalytics.com
  • 14. Data Modeling KDD MarketPoint… www.kddanalytics.com Segmentation and prioritization Segmentation and prioritization solution driven by: solution driven by: * Clients’ customer data data * Clients’ customer * 3rd party enrichment data * 3rd party enrichment * KDDdata Analytics * KDD Analytics Three components: * MP Profile => “What”? Three components: * MP Opportunity => “Where”? * MarketPoint Profile => “What”? * MP Prospect => “Who”? * MarketPoint Opportunity => Deliverables “Where”? * Static and interactive => * MarketPoint Prospect dashboards/Excel workbooks “Who”? * Scored and ranked prospecting lists Deliverables * Static and interactive See www.kddanalytics.com. dashboards/Excel workbooks * Scored and ranked prospecting lists
  • 15. Contact Info Let us know how we can help you: info@kddanalytics.com www.kddanalytics.com www.kddanalytics.com