SlideShare a Scribd company logo
1 of 35
Download to read offline
1
The Price is Right?
Six Steps to More Profitable Pricing
Leveraging Analytics to Generate More Profitable Pricing Strategies and Decisions
New Developments in Measurement and Analytics
2
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
3
Copyright 2013 Bottom Line Analytics All rights reserved.
Forward: The Imperative and Challenge
of Pricing
• Pricing is considered one of the Four-P’s of marketing and a critical
part of the marketing mix
• In fact, no single part of the marketing mix has as much impact on
sales performance and profitability than pricing
• Yet, managers tend to spend less time and research on improving
pricing decisions and, likewise, are less knowledgeable of the
specific impact that individual pricing decisions have on their
brand’s performance in advance of a pricing action
• Consequently, sub-optimal pricing decisions are common and
managers literally leave millions of dollars of profit and revenue on
the table due to poor pricing decisions
• Pricing analytics has a huge upside and is a relatively easy sell, if
done correctly.
4
Copyright 2013 Bottom Line Analytics All rights reserved.
Pricing research and analytic approaches
• The following three approaches are the most used methods for addressing
issues of pricing, price sensitivity and pricing strategy for marketers.
Method Description Advantages Limitations
Von Westendorp Method A survey tecnique which seeks to find the For providing price guidance for new products, Based on perceptions and not on actual mar-
intersection between "perceived too expensive" `` ket behavior.
and "too cheap to be of adequate quality". perience or data.
Conjoint/Discrete Choice Based on trade-off surveys; where price is paired Great for new products and linking price to Provides share or preference simulations, but
Models with various product features and attributes. value-added product features and attributes. also is not linked to actual purchase behavior
Econometric Models Based on statistical linkage or retail prices to actual Requires sufficient historical price and end- Best for existing products and does provide the
product sales. user sales data. Greater uncertainty when critical linkage with actual customer sales or
pricing decisions are outside the range of behavior.
historical experience.
5
Copyright 2013 Bottom Line Analytics All rights reserved.
Objective
• In order to adequately plan, evaluate and implement
profitable pricing decision, managers must have a
precise understanding of the sales and profit impact of
given price changes. This will require development of
advanced models or analytic tools which measure:
• Brand or Own Product Price Elasticity, which is the
percent change in brand sales due to a given
percent change in brand price over time, and
• Cross or Competitive Price Elasticity, which is the
percent change in brand sales due to a given
percent change in competitors’ pricing over time.
6
Copyright 2013 Bottom Line Analytics All rights reserved.
Destination
• This outlines a 6-step process that has shown to provide
companies the information and tools needed to make more
profitable pricing decisions
• While not eliminating all uncertainty due to pricing decisions, this 6-
step process will greatly enhance the likelihood that pricing
decisions will be optimized due to:
• Having models and simulation tools that precisely estimate the
impact of any given pricing action on sales, revenue and net
profitability
• Provide intelligence on the likelihood and level of competitive
pricing following your brand’s pricing move
• Provide facts and insight into the best timing for pricing
• Provide the specifics of which SKUs are most critical in the
pricing decision
• Identify which markets or channels where your brand’s price is
not in competitive alignment and what can be done about it
• Uncover the key principles for effective pricing strategy
7
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
8
Copyright 2013 Bottom Line Analytics All rights reserved.
1- 3 Plan & Assess
4- 5 Prepare
6 Optimize
Assess &
Set Yield
Targets
Situation &
Objectives
Model
Price
Elasticities
Analytics Competitor
Response
Evaluate
Risk
When &
What
to
Implement
Generate
Scenarios &
Plan Timing
Consolidate Insights
Summarize
6 Principles
Profit
Yield
Optimize
A Proven 6 Step Process
9
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
10
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 1 Situation Assessment & Objectives: Review
Sales Trends
80
85
90
95
100
105
110
115
120
125
130
Market 1 Market 2 Market 3
Standardized Index of Sales Trends
 Reviewing your current business situation and performance is the
first step for developing pricing goals and objectives. You clearly
need to find the weak links in your business to uncover possible
pricing issues.
11
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 1 Situation Assessment & Objectives:
Summarize Key Driver Trends
• Doing a thorough review of yours and competitor sales and pricing trends will
enable you to focus where pricing needs to be leveraged to rectify potential
competitive imbalances. This is the “smoking gun” which shows a pricing
issue in Market 3.
Competitve
Price Trend
Own
Price
Tremd
Sales
Trend
Your
Price
Competitor
Price
Market 1 -5.1% 2.1% 1.3% 45.50$ 43.50$
Market 2 2.1% 4.6% 4.5% 49.50$ 49.00$
Market 3 -14.3% 5.8% -11.3% 52.20$ 48.60$
12
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 1 Situation Assessment & Objectives: Identify
Competitive Price Misalignments
Market 3 Sales & Competitive Pricing Trends
Your Brand Retail Sales Trends Market 3 Compet.Price Trends Market 3
Uncovering the problem areas in your business will often reveal issues
with competitive price alignment for your brand. This is an area
where pricing remedies will be front and center
13
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 1 Six Situation Assessment & Objectives:
Determining Historical Price Pass-Through
• In markets or channels where your brand’s price is not in alignment with competitive
brands, it is not uncommon to find less than 100%of prior pricing actions being totally
passed through to the end customer. This is certainly the case with Market 3
13
Your
Price
Pass Through
Now
Pass Through in
6 Months
Market 1 4.4% 4.1% 4.5%
Market 2 7.0% 6.1% 8.2%
Market 3 8.1% 3.4% 7.3%
14
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 1 Situation Assessment & Objectives: Set Yield
Objectives
• At the core of every pricing action is a trade-off between
sales growth and improving profitability.
• Every pricing action starts with specific volume sales
objectives and profit yield estimates consistent with
profit goals.
• These goals are actualized through careful planning,
estimating and execution. The analytics we will be
doing is specifically aimed towards an accurate
estimate of the sales growth and profit impact or yield
due to the desired pricing action.
• Every pricing decision is the culmination of an effective
balance between competing sales growth and profit
goals.
15
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
Situation Assessment & Set Yield Objectives
Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
Assess Competitive Response Risk
Generate Scenarios & Plan Timing
6 Principles & Optimize Profit Yield
16
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Sales Model Architecture
Brand
SKU
Price
Comptv.
Price
Macro-
Economic
Season-
ality
Weekly Retail
Sales by
Market
Determining Price Elasticities starts with a Predictive Econometric
Model of Brand Sales
Weekly Retail Sales
are driven by
Brand SKU Price
Plus
Competitor’s Price
Plus
Macro-Economic Factor
Plus
Seasonality
17
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Sales Model Validation
-
5,000
10,000
15,000
20,000
25,000
30,000
35,000
Actual
Model
Models show an excellent predictive fit to actual sales
R2 =97.3, Holdout R2 =89.9, MAP = +/- 1.9%
18
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Derive Own Brand Price & Profit
Elasticities with and without Competitor Reciprocation
1.08
1.10
1.12
1.14
1.16
1.18
1.20
10.0
12.0
14.0
16.0
18.0
20.0
22.0
-15% -10% -5% 0% 5% 10% 15%
UnitSalesMil
NetProfitMil.
Price Change
Profit Mil wo Reciprocation
Profit Mil w Reciprocation
Unit Sales Mil wo Reciprocation
Unit Sales Mil w Reciprication
When competitors match Brand price changes, it reduces the impact
from that pricing change
Brand Price & Profit Elasticity
19
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Retail Sales Variance Drivers: Annual Unit
Sales Trend Due To:
4.5%
1.3%
-11.3%
-1.0%
-15.0% -10.0% -5.0% 0.0% 5.0% 10.0%
Market 1
Market 2
Market 3
Total
2012 Sales % Impact
Competitor Pricing
Your Brand's Pricing
Macro-Economic Impact
Base Momentum
From the econometric model, we can determine the impact of different
drivers and pricing on overall performance. The problem Market 3
is the one area dragging down overall brand growth
20
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Pricing Impact on retail unit sales
by SKU
0.1%
0.1%
0.2%
0.2%
0.2%
0.2%
0.2%
0.2%
0.5%
1.6%
2.5%
3.2%
5.4%
7.2%
7.3%
9.7%
25.7%
35.2%
0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0%
SKU 1
SKU 2
SKU 3
SKU 4
SKU 5
SKU 6
SKU 7
SKU 8
SKU 9
SKU 10
SKU 11
SKU 12
SKU 13
SKU 14
SKU 15
SKU 16
SKU 17
SKU 18
Retail Unit Sales Impact % Due to Pricing
Retail Sales Impact %
BLA models pricing elasticity at the SKU level, where pricing decisions
are made. Evidence usually shows that a relatively small proportion
of a brand’s SKUs drive most of the pricing impact.
21
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Pricing Impact of SKU’s on brand
net profit
-1.5%
0.0%
0.9%
1.3%
1.3%
1.5%
2.3%
2.3%
3.3%
4.4%
4.5%
4.7%
5.6%
7.3%
9.7%
13.8%
15.9%
22.8%
-5.0% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0%
SKU 1
SKU 2
SKU 3
SKU 4
SKU 5
SKU 6
SKU 7
SKU 8
SKU 9
SKU 10
SKU 11
SKU 12
SKU 13
SKU 14
SKU 15
SKU 16
SKU 17
SKU 18
Net Margin Yield Impact % Due to Pricing
Retail Sales Impact %
And similarly, a few SKUs tend to drive most of the profit impact due to
pricing
22
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Price Elasticity with and without Full
Competitor Price Reciprocation by Market
-0.3%
-0.6%
-1.4%
-0.5%
-0.2%
-0.3%
-1.0%
-0.3%
-1.6%
-1.4%
-1.2%
-1.0%
-0.8%
-0.6%
-0.4%
-0.2%
0.0%
Market 1 Market 2 Market 3 Total
Price Elasticity: Change in Retail Unit Sales
Due to a 1% Increase in Retail Price
WO Reciprocation Full Reciprocation
Our price elasticity model looks at market/SKU level and with and
without competitor reciprocation of your price change
23
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Impact of Housing Starts on Brand
Retail Sales
7,85,000
7,90,000
7,95,000
8,00,000
8,05,000
8,10,000
8,15,000
8,20,000
8,25,000
8,30,000
8,35,000
8,40,000
-15% -10% -5% 0% 5% 10% 15%
AnnualRetailSales
Change in Housing Starts
Housing Starts and Unit Sales
Unit Sales
Our Model is also able to isolate the impact of key macro-economic
drivers
24
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 2Analytics: Pricing Impact Matrix
• Quadrant Plots visually show which SKUs are the most critical in terms of
pricing
Bubble size represents net revenue
25
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
26
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 3Assess Risk: Competitive Price Response
$-
$5.00
$10.00
$15.00
$20.00
$25.00
$30.00
$35.00
$40.00
09-01-2010 09-01-2011 09-01-2012
Your Brand Price
Competitive Price
Tracing competitor pricing behavior is critical to understanding the
likelihood of full/partial pricing reciprocation and the timing thereof
Full price reciprocation
occurs, but with a 5-8 week
lag.
27
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
28
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 4 Generate Scenarios & Plan Timing: Generate
Pricing Scenarios
$0.86
$1.04
$1.28
$1.14
$1.42
$1.77
$-
$0.20
$0.40
$0.60
$0.80
$1.00
$1.20
$1.40
$1.60
$1.80
$2.00
Yield $Mil
Incremental Revenue & Profit Yields from Optimized
Price Scenarios
Revenue 3% Increase
Revenue 4% Increase
Revenue 5% Increase
Net Profit 3% Increase
Net Profit 4% Increase
Net Profit 5% Increase
 The final pricing decision is from running various optimized pricing
scenarios and selecting that which achieves profit goals
29
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 4 Generate Scenarios & Plan Timing: Price
Elasticity Trends by Period
0.31
0.32
0.33
0.34
0.35
0.36
0.37
0.38
0.39
0.40
0.41
0.42
Total Elasticity (Absolute Value)
BLA’s modeling approach can identify points-in-time when price
sensitivities are highest and when is the strategically best time to
implement pricing increases or decreases
30
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
31
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 5 Six Principles: Six Strategic
Principles for effective pricing
1. Setting a Sales & Profit Yield Target: What profit improvement is required? Note that,
with pricing, there is always a trade off with business growth.
2. Evaluating whether your overall price level is inalignment with competitors. Determine
which markets and channels where price misalignment might exist
3. Assessing the likelihood of retail price pass-through. Are retailers passing-through your
price changes to customers?
4. Assessing the likelihood of competitive reciprocation and their timing. Are competitors
matching price changes and is there a lag?
5. Estimating scenarios and optimizing the decision, by SKU. Estimating sales and profit
of different pricing scenarios and putting aplan into place., as well as the best time to
implement pricing decisions.
6. Selecting a pricing level and rate from alternatives and optimizing profit yield
Your
Price
Pass Through
Now
Pass Through in
6 Months
Market 1 4.4% 4.1% 4.5%
Market 2 7.0% 6.1% 8.2%
Market 3 8.1% 3.4% 7.3%
32
Copyright 2013 Bottom Line Analytics All rights reserved.
Content
32
Forward, Objectives & Destination
The 6 Step Process
1. Situation Assessment & Set Yield Objectives
2. Do the Analytics
Own Brand Price Elasticity by SKU
Competitive Price Elasticities
Pass-Through Assessment
3. Assess Competitive Response Risk
4. Generate Scenarios & Plan Timing
5. Summarize 6 Principles
6. Optimize Profit Yield
33
Copyright 2013 Bottom Line Analytics All rights reserved.
Step 6: Optimize: Optimized Pricing
 A simulation tool which permits us to estimate different scenarios and
optimize profitability within specified targets and constraints, is essential
34
Copyright 2013 Bottom Line Analytics All rights reserved.
Key Summary and Recommendations
Recommendations
• Plan pricing actions in advance.
• Set specific sales growth and profit objectives from pricing
• Evaluate current situation and pricing/sales trends. Identify where there might be
competitive pricing imbalances
• Due diligence by developing analytics for price elasticity
• Analyze prior pricing actions for competitive response, timing and the level of
price pass through fromprior pricing actions
• Simulation and optimization tools for evaluating different pricing scenarios
• Analytics to determine the best timing and level of pricing adjustments
• Select & optimize the pricing rate which will generate the desired sales & profit
yield
35
Bangalore, IN Office:
No. 141, 2nd Cross,2nd Main,
Domlur,2nd Stage, Bangalore560071
Phone:+91 80 40917572, +91 80 40916116
info@therainman.com
Contact Us US Office:
Suite 100, 1780 Chadds Lake Dr, NE
Marietta, Georgia, 30068-1608
Atlanta, USA
info@bottomlineanalytics.com

More Related Content

What's hot

9 Key Marketing Metrics Every Company Should Measure
9 Key Marketing Metrics Every Company Should Measure9 Key Marketing Metrics Every Company Should Measure
9 Key Marketing Metrics Every Company Should MeasureSIGMA Marketing Insights
 
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing Mix
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing MixARF Rethink 2016 - IRI-Atkins Case Segment Marketing Mix
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing MixJoy Joseph
 
Message Mix Modeling - Leveraging Creative for Sales Growth
Message Mix Modeling - Leveraging Creative for Sales GrowthMessage Mix Modeling - Leveraging Creative for Sales Growth
Message Mix Modeling - Leveraging Creative for Sales GrowthMasood Akhtar
 
Marketing Productivity
Marketing ProductivityMarketing Productivity
Marketing ProductivityDave Birckhead
 
Continuous Improvement in Marketing ROI
Continuous Improvement in Marketing ROIContinuous Improvement in Marketing ROI
Continuous Improvement in Marketing ROIRick Abens
 
Top Strategies for Marketing Signal Measurement
Top Strategies for Marketing Signal MeasurementTop Strategies for Marketing Signal Measurement
Top Strategies for Marketing Signal MeasurementOrigami Logic
 
Measuring the “carryover” effects of pricing
Measuring the “carryover” effects of pricingMeasuring the “carryover” effects of pricing
Measuring the “carryover” effects of pricingJoy Joseph
 
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & Techniques
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & TechniquesMeasure Marketing Like It's 2016: A Guided Tour of the Newest Tools & Techniques
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & TechniquesOrigami Logic
 
Essential Ingredients of a Market Mix Model
Essential Ingredients of a Market Mix Model Essential Ingredients of a Market Mix Model
Essential Ingredients of a Market Mix Model Amit Satsangi
 
Marketing ROI case for banking & finance
Marketing ROI case for banking & financeMarketing ROI case for banking & finance
Marketing ROI case for banking & financeMichael Wolfe
 
Modeling The Market Mix Modeling Problem (Media Mix Optimization)
Modeling The Market Mix Modeling Problem (Media Mix Optimization)Modeling The Market Mix Modeling Problem (Media Mix Optimization)
Modeling The Market Mix Modeling Problem (Media Mix Optimization)Amit Satsangi
 
Marketing Optimization in Financial Services
Marketing Optimization in Financial ServicesMarketing Optimization in Financial Services
Marketing Optimization in Financial ServicesSebastian Shapiro
 
Advertising Spending Trends
Advertising Spending TrendsAdvertising Spending Trends
Advertising Spending TrendsPM
 
Marketing Optimization for Natural Gas Utilities
Marketing Optimization for Natural Gas UtilitiesMarketing Optimization for Natural Gas Utilities
Marketing Optimization for Natural Gas UtilitiesMichael Wolfe
 
Metrics Credentials For Slideshare December 29, 2008
Metrics   Credentials For Slideshare   December 29, 2008Metrics   Credentials For Slideshare   December 29, 2008
Metrics Credentials For Slideshare December 29, 2008Blair Currie
 
Innovations in marketing effectiveness measurement
Innovations in marketing effectiveness measurement  Innovations in marketing effectiveness measurement
Innovations in marketing effectiveness measurement Michael Wolfe
 

What's hot (20)

9 Key Marketing Metrics Every Company Should Measure
9 Key Marketing Metrics Every Company Should Measure9 Key Marketing Metrics Every Company Should Measure
9 Key Marketing Metrics Every Company Should Measure
 
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing Mix
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing MixARF Rethink 2016 - IRI-Atkins Case Segment Marketing Mix
ARF Rethink 2016 - IRI-Atkins Case Segment Marketing Mix
 
Message Mix Modeling - Leveraging Creative for Sales Growth
Message Mix Modeling - Leveraging Creative for Sales GrowthMessage Mix Modeling - Leveraging Creative for Sales Growth
Message Mix Modeling - Leveraging Creative for Sales Growth
 
Marketing Productivity
Marketing ProductivityMarketing Productivity
Marketing Productivity
 
Continuous Improvement in Marketing ROI
Continuous Improvement in Marketing ROIContinuous Improvement in Marketing ROI
Continuous Improvement in Marketing ROI
 
Top Strategies for Marketing Signal Measurement
Top Strategies for Marketing Signal MeasurementTop Strategies for Marketing Signal Measurement
Top Strategies for Marketing Signal Measurement
 
Measuring the “carryover” effects of pricing
Measuring the “carryover” effects of pricingMeasuring the “carryover” effects of pricing
Measuring the “carryover” effects of pricing
 
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & Techniques
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & TechniquesMeasure Marketing Like It's 2016: A Guided Tour of the Newest Tools & Techniques
Measure Marketing Like It's 2016: A Guided Tour of the Newest Tools & Techniques
 
Essential Ingredients of a Market Mix Model
Essential Ingredients of a Market Mix Model Essential Ingredients of a Market Mix Model
Essential Ingredients of a Market Mix Model
 
Marketing ROI case for banking & finance
Marketing ROI case for banking & financeMarketing ROI case for banking & finance
Marketing ROI case for banking & finance
 
Modeling The Market Mix Modeling Problem (Media Mix Optimization)
Modeling The Market Mix Modeling Problem (Media Mix Optimization)Modeling The Market Mix Modeling Problem (Media Mix Optimization)
Modeling The Market Mix Modeling Problem (Media Mix Optimization)
 
Marketing Optimization in Financial Services
Marketing Optimization in Financial ServicesMarketing Optimization in Financial Services
Marketing Optimization in Financial Services
 
Enterprise social media mgmt tools
Enterprise social media mgmt toolsEnterprise social media mgmt tools
Enterprise social media mgmt tools
 
Measuring Print Advertising Responsiveness via MMM
Measuring Print Advertising Responsiveness via MMMMeasuring Print Advertising Responsiveness via MMM
Measuring Print Advertising Responsiveness via MMM
 
Advertising Spending Trends
Advertising Spending TrendsAdvertising Spending Trends
Advertising Spending Trends
 
copy resume 11-1
copy resume 11-1copy resume 11-1
copy resume 11-1
 
Marketing Optimization for Natural Gas Utilities
Marketing Optimization for Natural Gas UtilitiesMarketing Optimization for Natural Gas Utilities
Marketing Optimization for Natural Gas Utilities
 
Metrics Credentials For Slideshare December 29, 2008
Metrics   Credentials For Slideshare   December 29, 2008Metrics   Credentials For Slideshare   December 29, 2008
Metrics Credentials For Slideshare December 29, 2008
 
Innovations in marketing effectiveness measurement
Innovations in marketing effectiveness measurement  Innovations in marketing effectiveness measurement
Innovations in marketing effectiveness measurement
 
Marketing Analytics for Data-Rich Environments
Marketing Analytics for Data-Rich EnvironmentsMarketing Analytics for Data-Rich Environments
Marketing Analytics for Data-Rich Environments
 

Viewers also liked

4 Simple Steps to Profits through a Painless Pricing Framework
4 Simple Steps to Profits through a Painless Pricing Framework4 Simple Steps to Profits through a Painless Pricing Framework
4 Simple Steps to Profits through a Painless Pricing FrameworkMichael Nelson
 
On the Globalization of Modeling Languages (June 8th, 2015)
On the Globalization of Modeling Languages (June 8th, 2015)On the Globalization of Modeling Languages (June 8th, 2015)
On the Globalization of Modeling Languages (June 8th, 2015)Benoit Combemale
 
O Primeiro Gato Guia do Mundo
O Primeiro Gato Guia do MundoO Primeiro Gato Guia do Mundo
O Primeiro Gato Guia do MundoMundo dos Animais
 
Xerrada pares alumnes 1r eso
Xerrada pares alumnes 1r esoXerrada pares alumnes 1r eso
Xerrada pares alumnes 1r esoNeus Policarpo
 
Alimentos Perigosos Para Cães e Gatos
Alimentos Perigosos Para Cães e GatosAlimentos Perigosos Para Cães e Gatos
Alimentos Perigosos Para Cães e GatosMundo dos Animais
 
Kiran_NDC_Roustabout_cv
Kiran_NDC_Roustabout_cvKiran_NDC_Roustabout_cv
Kiran_NDC_Roustabout_cvKiran Johny
 
C3 entrainement4operations4
C3 entrainement4operations4C3 entrainement4operations4
C3 entrainement4operations4proktos
 
the secret of inner power psychotronica
the secret of inner power psychotronicathe secret of inner power psychotronica
the secret of inner power psychotronicasuwono3277
 
Sanificazione Vasche Inox con Ozono
Sanificazione Vasche Inox con Ozono Sanificazione Vasche Inox con Ozono
Sanificazione Vasche Inox con Ozono Movingfluid srl
 
Why coca cola is dominating in the beverage industry
Why coca cola is dominating in the beverage industryWhy coca cola is dominating in the beverage industry
Why coca cola is dominating in the beverage industryIMT ProHunt
 
segmentation, positioning and targeting
segmentation, positioning and targetingsegmentation, positioning and targeting
segmentation, positioning and targetingMonika Maciuliene
 
Consumer Segmentation - Introduction to Branding
Consumer Segmentation - Introduction to BrandingConsumer Segmentation - Introduction to Branding
Consumer Segmentation - Introduction to BrandingRai University Ahmedabad
 

Viewers also liked (17)

4 Simple Steps to Profits through a Painless Pricing Framework
4 Simple Steps to Profits through a Painless Pricing Framework4 Simple Steps to Profits through a Painless Pricing Framework
4 Simple Steps to Profits through a Painless Pricing Framework
 
On the Globalization of Modeling Languages (June 8th, 2015)
On the Globalization of Modeling Languages (June 8th, 2015)On the Globalization of Modeling Languages (June 8th, 2015)
On the Globalization of Modeling Languages (June 8th, 2015)
 
O Primeiro Gato Guia do Mundo
O Primeiro Gato Guia do MundoO Primeiro Gato Guia do Mundo
O Primeiro Gato Guia do Mundo
 
Xerrada pares alumnes 1r eso
Xerrada pares alumnes 1r esoXerrada pares alumnes 1r eso
Xerrada pares alumnes 1r eso
 
Abandono De Cães e Gatos
Abandono De Cães e GatosAbandono De Cães e Gatos
Abandono De Cães e Gatos
 
Sistema circulatorio
Sistema circulatorioSistema circulatorio
Sistema circulatorio
 
Alimentos Perigosos Para Cães e Gatos
Alimentos Perigosos Para Cães e GatosAlimentos Perigosos Para Cães e Gatos
Alimentos Perigosos Para Cães e Gatos
 
Kiran_NDC_Roustabout_cv
Kiran_NDC_Roustabout_cvKiran_NDC_Roustabout_cv
Kiran_NDC_Roustabout_cv
 
Xi concurso interunivesitario de litigación oral pp
Xi concurso interunivesitario de litigación oral ppXi concurso interunivesitario de litigación oral pp
Xi concurso interunivesitario de litigación oral pp
 
Mind Measure Planner
Mind Measure PlannerMind Measure Planner
Mind Measure Planner
 
C3 entrainement4operations4
C3 entrainement4operations4C3 entrainement4operations4
C3 entrainement4operations4
 
the secret of inner power psychotronica
the secret of inner power psychotronicathe secret of inner power psychotronica
the secret of inner power psychotronica
 
Nandana ecology case studies
Nandana ecology case studiesNandana ecology case studies
Nandana ecology case studies
 
Sanificazione Vasche Inox con Ozono
Sanificazione Vasche Inox con Ozono Sanificazione Vasche Inox con Ozono
Sanificazione Vasche Inox con Ozono
 
Why coca cola is dominating in the beverage industry
Why coca cola is dominating in the beverage industryWhy coca cola is dominating in the beverage industry
Why coca cola is dominating in the beverage industry
 
segmentation, positioning and targeting
segmentation, positioning and targetingsegmentation, positioning and targeting
segmentation, positioning and targeting
 
Consumer Segmentation - Introduction to Branding
Consumer Segmentation - Introduction to BrandingConsumer Segmentation - Introduction to Branding
Consumer Segmentation - Introduction to Branding
 

Similar to Pricing.gap

Getting the Price Right
Getting the Price RightGetting the Price Right
Getting the Price RightMasood Akhtar
 
Competing on pricing analytics by Privaledge - pricing strategies solutions
Competing on pricing analytics by Privaledge - pricing strategies solutionsCompeting on pricing analytics by Privaledge - pricing strategies solutions
Competing on pricing analytics by Privaledge - pricing strategies solutionsprivaledge
 
Pricing and the ceo may 2018 for xpeg
Pricing and the ceo may 2018 for xpegPricing and the ceo may 2018 for xpeg
Pricing and the ceo may 2018 for xpegSteven Forth
 
Strategic pricing for product managers
Strategic pricing for product managersStrategic pricing for product managers
Strategic pricing for product managersRama Ghanta
 
Margin Management in Trying Times
Margin Management in Trying TimesMargin Management in Trying Times
Margin Management in Trying Timesmariglianoej
 
Mather Disciplined Pricing Approach For Banking Summary
Mather Disciplined Pricing Approach For Banking SummaryMather Disciplined Pricing Approach For Banking Summary
Mather Disciplined Pricing Approach For Banking Summarydfischer
 
Chapter 14 Developing Pricing Strategies & Programs
Chapter 14 Developing Pricing Strategies & ProgramsChapter 14 Developing Pricing Strategies & Programs
Chapter 14 Developing Pricing Strategies & ProgramsMaylin Calva
 
BusinessDrivers and MS
BusinessDrivers and MSBusinessDrivers and MS
BusinessDrivers and MSRobert Mansson
 
Pricing Strategy.pptx
Pricing Strategy.pptxPricing Strategy.pptx
Pricing Strategy.pptxMadduVelangi1
 
eBook-PriceOptimisation-10Tips-dh
eBook-PriceOptimisation-10Tips-dheBook-PriceOptimisation-10Tips-dh
eBook-PriceOptimisation-10Tips-dhKaren Oakland
 
Marketelligent Capabilities & Offerings for Sales Analytics
Marketelligent Capabilities & Offerings for Sales AnalyticsMarketelligent Capabilities & Offerings for Sales Analytics
Marketelligent Capabilities & Offerings for Sales AnalyticsMarketelligent
 
What we can do in Retail analytics by bhawani nandanprasad
What we can do in Retail analytics by bhawani nandanprasadWhat we can do in Retail analytics by bhawani nandanprasad
What we can do in Retail analytics by bhawani nandanprasadBhawani N Prasad
 
WITS 2013 Pricing Panel- Final Final
WITS 2013 Pricing Panel- Final FinalWITS 2013 Pricing Panel- Final Final
WITS 2013 Pricing Panel- Final FinalMark Barichievich
 
M5 Pricing and Channels.pptx
M5 Pricing and Channels.pptxM5 Pricing and Channels.pptx
M5 Pricing and Channels.pptxgururaj101143
 
Models and general approaches to set price of product and service
Models and general approaches to set price of product and serviceModels and general approaches to set price of product and service
Models and general approaches to set price of product and serviceshitoleanjali
 
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?JK Tech
 
Imad Feneir - pricing strategies
Imad Feneir - pricing strategiesImad Feneir - pricing strategies
Imad Feneir - pricing strategiesImad Feneir
 

Similar to Pricing.gap (20)

Getting the Price Right
Getting the Price RightGetting the Price Right
Getting the Price Right
 
Competing on pricing analytics by Privaledge - pricing strategies solutions
Competing on pricing analytics by Privaledge - pricing strategies solutionsCompeting on pricing analytics by Privaledge - pricing strategies solutions
Competing on pricing analytics by Privaledge - pricing strategies solutions
 
Pricing and the ceo may 2018 for xpeg
Pricing and the ceo may 2018 for xpegPricing and the ceo may 2018 for xpeg
Pricing and the ceo may 2018 for xpeg
 
Strategic pricing for product managers
Strategic pricing for product managersStrategic pricing for product managers
Strategic pricing for product managers
 
Margin Management in Trying Times
Margin Management in Trying TimesMargin Management in Trying Times
Margin Management in Trying Times
 
Mather Disciplined Pricing Approach For Banking Summary
Mather Disciplined Pricing Approach For Banking SummaryMather Disciplined Pricing Approach For Banking Summary
Mather Disciplined Pricing Approach For Banking Summary
 
Chapter 14 Developing Pricing Strategies & Programs
Chapter 14 Developing Pricing Strategies & ProgramsChapter 14 Developing Pricing Strategies & Programs
Chapter 14 Developing Pricing Strategies & Programs
 
Nidhishree DS.pdf
Nidhishree DS.pdfNidhishree DS.pdf
Nidhishree DS.pdf
 
BusinessDrivers and MS
BusinessDrivers and MSBusinessDrivers and MS
BusinessDrivers and MS
 
Pricing Strategy.pptx
Pricing Strategy.pptxPricing Strategy.pptx
Pricing Strategy.pptx
 
eBook-PriceOptimisation-10Tips-dh
eBook-PriceOptimisation-10Tips-dheBook-PriceOptimisation-10Tips-dh
eBook-PriceOptimisation-10Tips-dh
 
Sales forecasting
Sales forecastingSales forecasting
Sales forecasting
 
Marketelligent Capabilities & Offerings for Sales Analytics
Marketelligent Capabilities & Offerings for Sales AnalyticsMarketelligent Capabilities & Offerings for Sales Analytics
Marketelligent Capabilities & Offerings for Sales Analytics
 
What we can do in Retail analytics by bhawani nandanprasad
What we can do in Retail analytics by bhawani nandanprasadWhat we can do in Retail analytics by bhawani nandanprasad
What we can do in Retail analytics by bhawani nandanprasad
 
WITS 2013 Pricing Panel- Final Final
WITS 2013 Pricing Panel- Final FinalWITS 2013 Pricing Panel- Final Final
WITS 2013 Pricing Panel- Final Final
 
M5 Pricing and Channels.pptx
M5 Pricing and Channels.pptxM5 Pricing and Channels.pptx
M5 Pricing and Channels.pptx
 
Models and general approaches to set price of product and service
Models and general approaches to set price of product and serviceModels and general approaches to set price of product and service
Models and general approaches to set price of product and service
 
Sdm 1.1
Sdm 1.1Sdm 1.1
Sdm 1.1
 
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?
Retail Webinar - How to Stay 10 Steps Ahead of Retail Competitors?
 
Imad Feneir - pricing strategies
Imad Feneir - pricing strategiesImad Feneir - pricing strategies
Imad Feneir - pricing strategies
 

More from Global Analytics Partners (10)

Churn analytics gap
Churn analytics gapChurn analytics gap
Churn analytics gap
 
Ad effectiveness 2.gap
Ad effectiveness 2.gapAd effectiveness 2.gap
Ad effectiveness 2.gap
 
Brand and Competitive Positioning
Brand and Competitive PositioningBrand and Competitive Positioning
Brand and Competitive Positioning
 
Measuring voc cust exper.gap
Measuring voc cust exper.gapMeasuring voc cust exper.gap
Measuring voc cust exper.gap
 
Sales optimization
Sales optimization Sales optimization
Sales optimization
 
Forecasting.gap
Forecasting.gapForecasting.gap
Forecasting.gap
 
Economic impact study
Economic impact studyEconomic impact study
Economic impact study
 
Customer segmentation.gap
Customer segmentation.gapCustomer segmentation.gap
Customer segmentation.gap
 
Customer journeymap.gap
Customer journeymap.gapCustomer journeymap.gap
Customer journeymap.gap
 
Marketing mix.gap
Marketing mix.gapMarketing mix.gap
Marketing mix.gap
 

Recently uploaded

Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Sapana Sha
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPramod Kumar Srivastava
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort servicejennyeacort
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Callshivangimorya083
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubaihf8803863
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAbdelrhman abooda
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...Florian Roscheck
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home ServiceSapana Sha
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDRafezzaman
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样vhwb25kk
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFAAndrei Kaleshka
 

Recently uploaded (20)

Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Defence Colony Delhi 💯Call Us 🔝8264348440🔝
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
Saket, (-DELHI )+91-9654467111-(=)CHEAP Call Girls in Escorts Service Saket C...
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptxPKS-TGC-1084-630 - Stage 1 Proposal.pptx
PKS-TGC-1084-630 - Stage 1 Proposal.pptx
 
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
9711147426✨Call In girls Gurgaon Sector 31. SCO 25 escort service
 
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
꧁❤ Greater Noida Call Girls Delhi ❤꧂ 9711199171 ☎️ Hard And Sexy Vip Call
 
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls DubaiDubai Call Girls Wifey O52&786472 Call Girls Dubai
Dubai Call Girls Wifey O52&786472 Call Girls Dubai
 
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptxAmazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
Amazon TQM (2) Amazon TQM (2)Amazon TQM (2).pptx
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
 
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...From idea to production in a day – Leveraging Azure ML and Streamlit to build...
From idea to production in a day – Leveraging Azure ML and Streamlit to build...
 
9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service9654467111 Call Girls In Munirka Hotel And Home Service
9654467111 Call Girls In Munirka Hotel And Home Service
 
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTDINTERNSHIP ON PURBASHA COMPOSITE TEX LTD
INTERNSHIP ON PURBASHA COMPOSITE TEX LTD
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
1:1定制(UQ毕业证)昆士兰大学毕业证成绩单修改留信学历认证原版一模一样
 
How we prevented account sharing with MFA
How we prevented account sharing with MFAHow we prevented account sharing with MFA
How we prevented account sharing with MFA
 
Decoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in ActionDecoding Loan Approval: Predictive Modeling in Action
Decoding Loan Approval: Predictive Modeling in Action
 

Pricing.gap

  • 1. 1 The Price is Right? Six Steps to More Profitable Pricing Leveraging Analytics to Generate More Profitable Pricing Strategies and Decisions New Developments in Measurement and Analytics
  • 2. 2 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 3. 3 Copyright 2013 Bottom Line Analytics All rights reserved. Forward: The Imperative and Challenge of Pricing • Pricing is considered one of the Four-P’s of marketing and a critical part of the marketing mix • In fact, no single part of the marketing mix has as much impact on sales performance and profitability than pricing • Yet, managers tend to spend less time and research on improving pricing decisions and, likewise, are less knowledgeable of the specific impact that individual pricing decisions have on their brand’s performance in advance of a pricing action • Consequently, sub-optimal pricing decisions are common and managers literally leave millions of dollars of profit and revenue on the table due to poor pricing decisions • Pricing analytics has a huge upside and is a relatively easy sell, if done correctly.
  • 4. 4 Copyright 2013 Bottom Line Analytics All rights reserved. Pricing research and analytic approaches • The following three approaches are the most used methods for addressing issues of pricing, price sensitivity and pricing strategy for marketers. Method Description Advantages Limitations Von Westendorp Method A survey tecnique which seeks to find the For providing price guidance for new products, Based on perceptions and not on actual mar- intersection between "perceived too expensive" `` ket behavior. and "too cheap to be of adequate quality". perience or data. Conjoint/Discrete Choice Based on trade-off surveys; where price is paired Great for new products and linking price to Provides share or preference simulations, but Models with various product features and attributes. value-added product features and attributes. also is not linked to actual purchase behavior Econometric Models Based on statistical linkage or retail prices to actual Requires sufficient historical price and end- Best for existing products and does provide the product sales. user sales data. Greater uncertainty when critical linkage with actual customer sales or pricing decisions are outside the range of behavior. historical experience.
  • 5. 5 Copyright 2013 Bottom Line Analytics All rights reserved. Objective • In order to adequately plan, evaluate and implement profitable pricing decision, managers must have a precise understanding of the sales and profit impact of given price changes. This will require development of advanced models or analytic tools which measure: • Brand or Own Product Price Elasticity, which is the percent change in brand sales due to a given percent change in brand price over time, and • Cross or Competitive Price Elasticity, which is the percent change in brand sales due to a given percent change in competitors’ pricing over time.
  • 6. 6 Copyright 2013 Bottom Line Analytics All rights reserved. Destination • This outlines a 6-step process that has shown to provide companies the information and tools needed to make more profitable pricing decisions • While not eliminating all uncertainty due to pricing decisions, this 6- step process will greatly enhance the likelihood that pricing decisions will be optimized due to: • Having models and simulation tools that precisely estimate the impact of any given pricing action on sales, revenue and net profitability • Provide intelligence on the likelihood and level of competitive pricing following your brand’s pricing move • Provide facts and insight into the best timing for pricing • Provide the specifics of which SKUs are most critical in the pricing decision • Identify which markets or channels where your brand’s price is not in competitive alignment and what can be done about it • Uncover the key principles for effective pricing strategy
  • 7. 7 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 8. 8 Copyright 2013 Bottom Line Analytics All rights reserved. 1- 3 Plan & Assess 4- 5 Prepare 6 Optimize Assess & Set Yield Targets Situation & Objectives Model Price Elasticities Analytics Competitor Response Evaluate Risk When & What to Implement Generate Scenarios & Plan Timing Consolidate Insights Summarize 6 Principles Profit Yield Optimize A Proven 6 Step Process
  • 9. 9 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 10. 10 Copyright 2013 Bottom Line Analytics All rights reserved. Step 1 Situation Assessment & Objectives: Review Sales Trends 80 85 90 95 100 105 110 115 120 125 130 Market 1 Market 2 Market 3 Standardized Index of Sales Trends  Reviewing your current business situation and performance is the first step for developing pricing goals and objectives. You clearly need to find the weak links in your business to uncover possible pricing issues.
  • 11. 11 Copyright 2013 Bottom Line Analytics All rights reserved. Step 1 Situation Assessment & Objectives: Summarize Key Driver Trends • Doing a thorough review of yours and competitor sales and pricing trends will enable you to focus where pricing needs to be leveraged to rectify potential competitive imbalances. This is the “smoking gun” which shows a pricing issue in Market 3. Competitve Price Trend Own Price Tremd Sales Trend Your Price Competitor Price Market 1 -5.1% 2.1% 1.3% 45.50$ 43.50$ Market 2 2.1% 4.6% 4.5% 49.50$ 49.00$ Market 3 -14.3% 5.8% -11.3% 52.20$ 48.60$
  • 12. 12 Copyright 2013 Bottom Line Analytics All rights reserved. Step 1 Situation Assessment & Objectives: Identify Competitive Price Misalignments Market 3 Sales & Competitive Pricing Trends Your Brand Retail Sales Trends Market 3 Compet.Price Trends Market 3 Uncovering the problem areas in your business will often reveal issues with competitive price alignment for your brand. This is an area where pricing remedies will be front and center
  • 13. 13 Copyright 2013 Bottom Line Analytics All rights reserved. Step 1 Six Situation Assessment & Objectives: Determining Historical Price Pass-Through • In markets or channels where your brand’s price is not in alignment with competitive brands, it is not uncommon to find less than 100%of prior pricing actions being totally passed through to the end customer. This is certainly the case with Market 3 13 Your Price Pass Through Now Pass Through in 6 Months Market 1 4.4% 4.1% 4.5% Market 2 7.0% 6.1% 8.2% Market 3 8.1% 3.4% 7.3%
  • 14. 14 Copyright 2013 Bottom Line Analytics All rights reserved. Step 1 Situation Assessment & Objectives: Set Yield Objectives • At the core of every pricing action is a trade-off between sales growth and improving profitability. • Every pricing action starts with specific volume sales objectives and profit yield estimates consistent with profit goals. • These goals are actualized through careful planning, estimating and execution. The analytics we will be doing is specifically aimed towards an accurate estimate of the sales growth and profit impact or yield due to the desired pricing action. • Every pricing decision is the culmination of an effective balance between competing sales growth and profit goals.
  • 15. 15 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process Situation Assessment & Set Yield Objectives Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment Assess Competitive Response Risk Generate Scenarios & Plan Timing 6 Principles & Optimize Profit Yield
  • 16. 16 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Sales Model Architecture Brand SKU Price Comptv. Price Macro- Economic Season- ality Weekly Retail Sales by Market Determining Price Elasticities starts with a Predictive Econometric Model of Brand Sales Weekly Retail Sales are driven by Brand SKU Price Plus Competitor’s Price Plus Macro-Economic Factor Plus Seasonality
  • 17. 17 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Sales Model Validation - 5,000 10,000 15,000 20,000 25,000 30,000 35,000 Actual Model Models show an excellent predictive fit to actual sales R2 =97.3, Holdout R2 =89.9, MAP = +/- 1.9%
  • 18. 18 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Derive Own Brand Price & Profit Elasticities with and without Competitor Reciprocation 1.08 1.10 1.12 1.14 1.16 1.18 1.20 10.0 12.0 14.0 16.0 18.0 20.0 22.0 -15% -10% -5% 0% 5% 10% 15% UnitSalesMil NetProfitMil. Price Change Profit Mil wo Reciprocation Profit Mil w Reciprocation Unit Sales Mil wo Reciprocation Unit Sales Mil w Reciprication When competitors match Brand price changes, it reduces the impact from that pricing change Brand Price & Profit Elasticity
  • 19. 19 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Retail Sales Variance Drivers: Annual Unit Sales Trend Due To: 4.5% 1.3% -11.3% -1.0% -15.0% -10.0% -5.0% 0.0% 5.0% 10.0% Market 1 Market 2 Market 3 Total 2012 Sales % Impact Competitor Pricing Your Brand's Pricing Macro-Economic Impact Base Momentum From the econometric model, we can determine the impact of different drivers and pricing on overall performance. The problem Market 3 is the one area dragging down overall brand growth
  • 20. 20 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Pricing Impact on retail unit sales by SKU 0.1% 0.1% 0.2% 0.2% 0.2% 0.2% 0.2% 0.2% 0.5% 1.6% 2.5% 3.2% 5.4% 7.2% 7.3% 9.7% 25.7% 35.2% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% 30.0% 35.0% 40.0% SKU 1 SKU 2 SKU 3 SKU 4 SKU 5 SKU 6 SKU 7 SKU 8 SKU 9 SKU 10 SKU 11 SKU 12 SKU 13 SKU 14 SKU 15 SKU 16 SKU 17 SKU 18 Retail Unit Sales Impact % Due to Pricing Retail Sales Impact % BLA models pricing elasticity at the SKU level, where pricing decisions are made. Evidence usually shows that a relatively small proportion of a brand’s SKUs drive most of the pricing impact.
  • 21. 21 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Pricing Impact of SKU’s on brand net profit -1.5% 0.0% 0.9% 1.3% 1.3% 1.5% 2.3% 2.3% 3.3% 4.4% 4.5% 4.7% 5.6% 7.3% 9.7% 13.8% 15.9% 22.8% -5.0% 0.0% 5.0% 10.0% 15.0% 20.0% 25.0% SKU 1 SKU 2 SKU 3 SKU 4 SKU 5 SKU 6 SKU 7 SKU 8 SKU 9 SKU 10 SKU 11 SKU 12 SKU 13 SKU 14 SKU 15 SKU 16 SKU 17 SKU 18 Net Margin Yield Impact % Due to Pricing Retail Sales Impact % And similarly, a few SKUs tend to drive most of the profit impact due to pricing
  • 22. 22 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Price Elasticity with and without Full Competitor Price Reciprocation by Market -0.3% -0.6% -1.4% -0.5% -0.2% -0.3% -1.0% -0.3% -1.6% -1.4% -1.2% -1.0% -0.8% -0.6% -0.4% -0.2% 0.0% Market 1 Market 2 Market 3 Total Price Elasticity: Change in Retail Unit Sales Due to a 1% Increase in Retail Price WO Reciprocation Full Reciprocation Our price elasticity model looks at market/SKU level and with and without competitor reciprocation of your price change
  • 23. 23 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Impact of Housing Starts on Brand Retail Sales 7,85,000 7,90,000 7,95,000 8,00,000 8,05,000 8,10,000 8,15,000 8,20,000 8,25,000 8,30,000 8,35,000 8,40,000 -15% -10% -5% 0% 5% 10% 15% AnnualRetailSales Change in Housing Starts Housing Starts and Unit Sales Unit Sales Our Model is also able to isolate the impact of key macro-economic drivers
  • 24. 24 Copyright 2013 Bottom Line Analytics All rights reserved. Step 2Analytics: Pricing Impact Matrix • Quadrant Plots visually show which SKUs are the most critical in terms of pricing Bubble size represents net revenue
  • 25. 25 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 26. 26 Copyright 2013 Bottom Line Analytics All rights reserved. Step 3Assess Risk: Competitive Price Response $- $5.00 $10.00 $15.00 $20.00 $25.00 $30.00 $35.00 $40.00 09-01-2010 09-01-2011 09-01-2012 Your Brand Price Competitive Price Tracing competitor pricing behavior is critical to understanding the likelihood of full/partial pricing reciprocation and the timing thereof Full price reciprocation occurs, but with a 5-8 week lag.
  • 27. 27 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 28. 28 Copyright 2013 Bottom Line Analytics All rights reserved. Step 4 Generate Scenarios & Plan Timing: Generate Pricing Scenarios $0.86 $1.04 $1.28 $1.14 $1.42 $1.77 $- $0.20 $0.40 $0.60 $0.80 $1.00 $1.20 $1.40 $1.60 $1.80 $2.00 Yield $Mil Incremental Revenue & Profit Yields from Optimized Price Scenarios Revenue 3% Increase Revenue 4% Increase Revenue 5% Increase Net Profit 3% Increase Net Profit 4% Increase Net Profit 5% Increase  The final pricing decision is from running various optimized pricing scenarios and selecting that which achieves profit goals
  • 29. 29 Copyright 2013 Bottom Line Analytics All rights reserved. Step 4 Generate Scenarios & Plan Timing: Price Elasticity Trends by Period 0.31 0.32 0.33 0.34 0.35 0.36 0.37 0.38 0.39 0.40 0.41 0.42 Total Elasticity (Absolute Value) BLA’s modeling approach can identify points-in-time when price sensitivities are highest and when is the strategically best time to implement pricing increases or decreases
  • 30. 30 Copyright 2013 Bottom Line Analytics All rights reserved. Content Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 31. 31 Copyright 2013 Bottom Line Analytics All rights reserved. Step 5 Six Principles: Six Strategic Principles for effective pricing 1. Setting a Sales & Profit Yield Target: What profit improvement is required? Note that, with pricing, there is always a trade off with business growth. 2. Evaluating whether your overall price level is inalignment with competitors. Determine which markets and channels where price misalignment might exist 3. Assessing the likelihood of retail price pass-through. Are retailers passing-through your price changes to customers? 4. Assessing the likelihood of competitive reciprocation and their timing. Are competitors matching price changes and is there a lag? 5. Estimating scenarios and optimizing the decision, by SKU. Estimating sales and profit of different pricing scenarios and putting aplan into place., as well as the best time to implement pricing decisions. 6. Selecting a pricing level and rate from alternatives and optimizing profit yield Your Price Pass Through Now Pass Through in 6 Months Market 1 4.4% 4.1% 4.5% Market 2 7.0% 6.1% 8.2% Market 3 8.1% 3.4% 7.3%
  • 32. 32 Copyright 2013 Bottom Line Analytics All rights reserved. Content 32 Forward, Objectives & Destination The 6 Step Process 1. Situation Assessment & Set Yield Objectives 2. Do the Analytics Own Brand Price Elasticity by SKU Competitive Price Elasticities Pass-Through Assessment 3. Assess Competitive Response Risk 4. Generate Scenarios & Plan Timing 5. Summarize 6 Principles 6. Optimize Profit Yield
  • 33. 33 Copyright 2013 Bottom Line Analytics All rights reserved. Step 6: Optimize: Optimized Pricing  A simulation tool which permits us to estimate different scenarios and optimize profitability within specified targets and constraints, is essential
  • 34. 34 Copyright 2013 Bottom Line Analytics All rights reserved. Key Summary and Recommendations Recommendations • Plan pricing actions in advance. • Set specific sales growth and profit objectives from pricing • Evaluate current situation and pricing/sales trends. Identify where there might be competitive pricing imbalances • Due diligence by developing analytics for price elasticity • Analyze prior pricing actions for competitive response, timing and the level of price pass through fromprior pricing actions • Simulation and optimization tools for evaluating different pricing scenarios • Analytics to determine the best timing and level of pricing adjustments • Select & optimize the pricing rate which will generate the desired sales & profit yield
  • 35. 35 Bangalore, IN Office: No. 141, 2nd Cross,2nd Main, Domlur,2nd Stage, Bangalore560071 Phone:+91 80 40917572, +91 80 40916116 info@therainman.com Contact Us US Office: Suite 100, 1780 Chadds Lake Dr, NE Marietta, Georgia, 30068-1608 Atlanta, USA info@bottomlineanalytics.com