pricing analytics case study

20
Pricing Analytics Successful Case Study

Upload: michael-wolfe

Post on 16-Jul-2015

655 views

Category:

Data & Analytics


1 download

TRANSCRIPT

Pricing AnalyticsSuccessful Case Study

Case Situation & Results: DIY Brand Pricing Analytics

• A major brand marketing in the home-improvement retail sector found itself struggling to grow demand. BLA was commissioned to evaluate and test their in-market retail pricing to determine what degree this has been a drag on their performance. We constructed models to measure price elasticities across 18 SKUs.

• Our findings revealed that, overall, pricing for their products was price “inelastic”. However, we found that their premium-line of products had very high price elasticities, such that, price increases for these SKUs were not determined to be profitable. We concluded that an actual price roll-back was in order. Such a move would actually be slightly profitable and would grow overall sales by an estimated +7%.

• After nearly flat sales, the following year witnessed a sales turnaround with actual growth exceeding 8 percent!

Sales Model Architecture

3

BrandSKUPrice

Comptv.Price

HomeImprovmt

Spend

Season-ality

Weekly RetailSales by

Customer

The models determine the impact of these key drivers on weekly retail unit sales by retailer over 3 years, 2010-2012

Weekly Retail Salesare driven by

Paslode’s PricePlus

Competitor’s PricePlus

Home Improvement SpendingPlus

Seasonality

Sales Model Validation

0

5,000

10,000

15,000

20,000

25,000

30,000

35,000

1/9/

2010

3/9/

2010

5/9/

2010

7/9/

2010

9/9/

2010

11/9

/201

0

1/9/

2011

3/9/

2011

5/9/

2011

7/9/

2011

9/9/

2011

11/9

/201

1

1/9/

2012

3/9/

2012

5/9/

2012

7/9/

2012

9/9/

2012

11/9

/201

2

1/9/

2013

3/9/

2013

5/9/

2013

7/9/

2013

Actual

Model

4

Models show an excellent predictive fit to actual salesR2 =95.3, Holdout R2 =93.2, MAP = +/- 2.9%

Retail Sales Variance Drivers: Annual Unit Sales Trend Due To:

+0.9%

+1.9%

-13.6%

+0.1%

-20.0% -15.0% -10.0% -5.0% 0.0% 5.0%

Retailer 1

Retailer 2

Retailer 3

Total

2012 Sales % Impact

Competitor Pricing

Brand's Pricing

Remodeling Spending

Base Momentum

5

More favorable Competitor Pricing trends has lifted Retailer Two’s sales trends positive. Retailer Three’s weak sales is affected by both adverse

pricing and weak prior sales momentum.

Price Elasticity with and without Full Competitor Price Reciprocation

-0.2%

-0.7%

-1.8%

-0.6%

-0.1%-0.3%

-1.1%

-0.3%

-2.0%-1.8%-1.6%-1.4%-1.2%-1.0%-0.8%-0.6%-0.4%-0.2%0.0%

Retailer 1 Retailer 2 Retailer 3 Total

Price Elasticity: Change in Retail Unit Sales Due to a 1% Increase in Retail Price

WO Reciprocation Full Reciprocation

6

Overall, brand is “price inelastic” indicating that retail price increases, except in Retailer Three, will tend to be profitable

Price Elasticity with and without Full Competitor Price Reciprocation

-0.30%

-1.20%

-0.40%

-0.60%

-1.40%

-1.20%

-1.00%

-0.80%

-0.60%

-0.40%

-0.20%

0.00%

Basic Premium Accessories Total

Price Elasticity: Change in Retail Unit Sales Due to a 1% Increase in Retail Price

WO Reciprocation

7

The Basic product continues to be “inelastic”. However, the premium product shows significantly higher price sensitivity.

Pricing Impact by Product Line

0%10%20%30%40%50%60%70%80%90%

100%

Share of Sales Sales Impact Net Profit Impact

Premium LineAccessoriesStandard Line

8

The higher price-point premium line has the highest price sensitivity and therefore accounts for significantly higher share of the pricing impact due

to price changes.

The NLP Initiative amounted to a -10% price rollback for the Premium Line.Estimated Impact of NLP Initiative: Generates +6.8% Gain in Sales

-

5,000

10,000

15,000

20,000

25,000

30,000

3/16/2013 4/16/2013 5/16/2013 6/16/2013 7/16/2013 8/16/2013

Total and Estimated Brand Retail Sales with and without NLP Initiative on Premium product line

Model Est Reg Price

Actual at DiscountedPrice

9

Brand Price Sensitivity Curves Shifting Slightly in 2013

0.94

0.99

1.04

1.09

1.14

1.19

1.24

1.29

1.34

1.39

-15% -10% -5% 0% 5% 10% 15%

Uni

t Sal

es M

illio

ns

Price Change2012 Elasticity 2013 Current Elasticity

10

Overall price sensitivity has shifted “slightly” to more elastic, but the shift is ever-so small.

DIY Brand Price Elasticity

Brand Price Sensitivity Curves

9.00

10.00

11.00

12.00

13.00

14.00

15.00

16.00

1.00

1.02

1.04

1.06

1.08

1.10

1.12

-15% -10% -5% 0% 5% 10% 15%

Net

Pro

fit $

Mil

Uni

t Sal

es M

il.

Price ChangeUnit Sales Mil wo Reciprication Unit Sales Mil w Reciprication

Profit Mil wo Reciprocation

11

When competitors match the brand’s price increase, the overall sales impact is significantly less when competitors match the brand’s price increase

Price Elasticity for Sales & Net Profit

Forecast of Home Improvement Spending

6.2%4.2%

4.5% 4.3%3.0% 3.3%

7.0%7.5%

-20.0%

-15.0%

-10.0%

-5.0%

0.0%

5.0%

10.0%

15.0%

20.0%

$0.0

$20.0

$40.0

$60.0

$80.0

$100.0

$120.0

$140.0

$160.0

Four-Quarter Moving Total in Billions Four-Quarter Moving Rate of Change

12

Total Home Improvement Spending & Forecast

The most recent official LIRA forecast of Home Improvement Spending calls for a significant +14.7% growth in the next year. We see a more modest improvement from +4.8 to +6.4%

gain over the next 12 months

Impact of Home Improvement Spending on Brand Sales

1,040,000

1,045,000

1,050,000

1,055,000

1,060,000

1,065,000

1,070,000

1,075,000

1,080,000

1,085,000

-15% -10% -5% 0% 5% 10% 15%

Annu

al R

etai

l Sa

les

Change in Home Improvement Spending

Home Improvement Spending & Unit Sales

Unit Sales

13

Overall Home Improvement Spending is Expected to Increase 6.4% in the next year should have a +1.2% impact on Brand’s Retail Sales.

Pricing Impact on retail unit sales by SKU

0.2%0.2%0.2%0.2%0.3%0.3%0.3%0.3%0.8%1.0%1.1%

2.3%3.4%

7.6%7.6%

14.7%22.5%

37.1%

0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0%

650604 - 2-3/8 X .113 SM BR RD 2M650387 - 3 X .131 RS HDG PLUS RD

650238 - 2-3/8 X .113 RSRD650535 - 3-1/4X131 SMBT 1M FNP 30D

650237 - 2-3/8 X .113 RD650523 - 2-3/8X 113 RSBT 1M FNP

650526 - 2-3/8X113 RSHDG 1M FNP 30650239 - 3-1/4 X .131 RD

650524 - 3 X.120 SM BT FNP 30D650603 - 2-3/8 X .113 RS BR RD 2M

650564 - 2 x.113 RSHDG PLUS RDFNP650527 - 3 X120 RSHDG+ 1M FNP 30D

650236 - 3 X .120 RD650388 - 3-1/4 X .131 HDG RD

650210 - 3 X .131 RD650381 - 2 X .113 RS HDG RD

650383 - 2-3/8 X.113RS HDG RD650385 - 3 X .120 RS HDG RD

Retail Unit Sales Impact % Due to Pricing

Retail Sales Impact %

14

5 of the 18 SKUs listed here account for about 90% of the impact due to a Brand pricing change

Pricing Impact on Brand’s net profit by SKU

-2.4%-2.4%-2.2%

-1.5%-1.3%-0.8%-0.6%

3.6%3.7%

5.2%5.4%

6.0%6.2%

7.6%9.2%

11.4%13.6%

17.0%

-5.0% 0.0% 5.0% 10.0% 15.0% 20.0%

650535 - 3-1/4X131 SMBT 1M FNP 30D650524 - 3 X.120 SM BT FNP 30D

650523 - 2-3/8X 113 RSBT 1M FNP650526 - 2-3/8X113 RSHDG 1M FNP 30

650564 - 2 x.113 RSHDG PLUS RDFNP650238 - 2-3/8 X .113 RSRD

650237 - 2-3/8 X .113 RD650527 - 3 X120 RSHDG+ 1M FNP 30D

650604 - 2-3/8 X .113 SM BR RD 2M650383 - 2-3/8 X.113RS HDG RD

650388 - 3-1/4 X .131 HDG RD650387 - 3 X .131 RS HDG PLUS RD

650210 - 3 X .131 RD650603 - 2-3/8 X .113 RS BR RD 2M

650239 - 3-1/4 X .131 RD650381 - 2 X .113 RS HDG RD

650236 - 3 X .120 RD650385 - 3 X .120 RS HDG RD

Net Margin Yield Impact % Due to Pricing

Retail Margin Impact %

15

The top 5 SKUs account for about 76% of the net profit impact due to a pricing change

Price Elasticity Trends

0.340.350.360.370.380.390.400.410.420.43

Total Elasticity (Absolute Value)

16

Customers are more price sensitive during the high-season periods of April-October and less so from December-February. Overall price sensitivity

increased during the NLP period from June-August.

About Us

Bottom-Line Analytics LLC is a consulting group that focuses on Marketing and Social Media analytics

Our modeling experts have a total of over 100 years of direct experience with marketing optimization modeling. This includes direct experience in over 35 countries and dozens of product categories

We are dedicated to the principles of innovation, excellence and uncompromising customer service

Most important, however, we are dedicated to getting tangible and positive business results for our clients

17Copyright Bottom Line Analytics, LLC - All Rights Reserved, 2013

Our Mission Letting the data speak. Analytics is a not a means to substantiate what you think

you know (although that may occur), but rather a means to uncover truth through disciplined analysis.

Analytics must be used with integrity and care. Liars and charlatans can hide behind data.

We will use our clients data for their benefit and will not abrogate the trust of confidentiality

We will be leading innovators in the analytics space and take analytics to areas not heretofore thought possible

Analytics is about insight and prediction. Doing that well and better than competitors is a significant competitive advantage.

Our expertise resides in analytics and our clients’ expertise resides in their particular business. Marrying the two is essential for commercial success.

We are passionate about analytics because we know and can prove it to be the path to greater profitability for our clients

18Copyright Bottom Line Analytics, LLC - All Rights Reserved, 2013

Michael Wolfe

CEO, Bottom Line AnalyticsE: [email protected]: 404.841.1620

www.bottomlineanalytics.com

David Weinberger

CMO, Bottom Line AnalyticsE: [email protected]: 770.649.0472

www.bottomlineanalytics.com

Masood Akhtar

EVP Analytics, EMEAE: [email protected]: +44 7970 789 663

www.bottomlineanalytics.com

John Schroeder

EVP Business DevelopmentE: [email protected]: 312-543-2694.

www.bottomlineanalytics.com

Alain Recaborde

EVP Business DevelopmentE: [email protected]: 404-734-6615

www.bottomlineanalytics.com

Team Leadership

Dr. Peyton Mason

Head of Linguistic InsightsE: [email protected]•M: 704-814-0886

www.bottomlineanalytics.com

Our Team’s Experience

20Copyright Bottom Line Analytics, LLC - All Rights Reserved, 2013