This document provides an overview of promotion analytics, including estimating total promotion budgets, allocating budgets across promotion vehicles, and evaluating traditional and social media metrics. It discusses popular promotion methods, budget estimation techniques like percentage of sales and competitive parity, and using linear optimization models to allocate budgets across channels while maximizing objectives under constraints.
1. Chapter 10.
Promotion Analytics
Disclaimer:
All images such as logos, photos, etc. used in this presentation are the property of their respective copyright owners and are used
here for educational purposes only
Some material adapted from: Sorger, Stephan. Marketing Analytics: Strategic Models and Metrics. Admiral Press. 2013.
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2. Outline/ Learning Objectives
Topic Description
Estimation Explain how to estimate the total promotion budget
Allocation Describe how to allocate promotion budget across vehicles
Traditional Address performance metrics for traditional media
Social Describe tracking metrics for social media
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3. Popular
Promotion
Methods
Public Relations
Radio Advertising
Search Engine Marketing
Social Networking Sites
Television Advertising
Direct Marketing
Events and Experiences
Internet Advertising
Location-based Social
Print Advertising
Promotion
Apple: Email ads
Jeep: Sponsor of X Games
Radio Shack: Ads on Yahoo!
Foursquare: Local restaurants
Maybelline: Ads in Vogue
Royal Mail: Picked up stories
Motel 6: Car travelers
Lowes: PPC Ads for washers
Facebook, LinkedIn, Twitter
GEICO: Many TV ads
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4. Promotion
Popular
Promotion
Methods
Public Relations
Radio Advertising
Search Engine Marketing
Social Networking Sites
Television Advertising
Direct Marketing
Events and Experiences
Internet Advertising
Location-based Social
Print Advertising
Apple: Email ads
Jeep: Sponsor of X Games
Radio Shack: Ads on Yahoo!
Foursquare: Local restaurants
Maybelline: Ads in Vogue
Royal Mail: Picked up stories
Motel 6: Car travelers
Lowes: PPC Ads for washers
Facebook, LinkedIn, Twitter
GEICO: Many TV ads
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5. Promotion Analytics: Promotion Budget Estimation
Promotion
Budget
Estimation
Competitive Parity
Objective and Task
Model-based
Percentage of Sales
Affordable
Set budget as % of annual revenue
LegalZoom: 9 12% of annual sales
Set budget to what you can pay
Recession spending: Slash budget
Set budget to match competitors
GM, Ford, Chrysler: Match spending
Set budget to achieve objectives
CPG: Common in B2C market
Set budget using models
Best for stable situations
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6. Promotion Budget: Percentage of Sales
Promotion
Budget
Promotion Budget = % of Revenues
Annual
Revenue
Description: Set budget as a percentage of company annual revenue
Example: LegalZoom estimates that many businesses spend 9-12%
Sample Calculations for Acme Example:
Acme generated $100,000 in revenue in the previous year
If they apply 10% to promotion, promotion budget: 10% * $100,000 = $10,000
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7. Promotion Budget: Affordable Method
Promotion
Budget
Leftover funds go to promotion
Company
Funds
Description: Set budget to whatever the organization can afford
Example: During recession, many companies slashed marketing spending
Sample Calculations for Acme Example:
Acme budgets $20,000 for all expenses
After spending $18,000 on rent, etc., $2000 left for promotional expenses
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8. Promotion Budget: Competitive Parity
Promotion Budget
Promotion Budget
for Company
Promotion Budget
of Competitor
Description: Set budget to match what competitors spend
Example: Big 3 auto makers (GM, Ford, Chrysler) match spending levels
Sample Calculations for Acme Example:
See next slide
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9. Promotion Budget: Competitive Parity
Promotion Vehicle Cost per Ad Quantity Subtotal
Print Magazine Ads $1,000 30 $1,000 * 30 = $30,000
Radio Commercials $5,000 20 $5,000 * 30 = $100,000
Television Commercials $10,000 10 $10,000 * 10 = $100,000
Total Spending $230,000
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10. Promotion Budget: Objective and Task
Market Share
Goal
Advertising
Reach
Trial
Rate
Customer
Count
Advertising
Impressions
Gross Rating
Points
Advertising
Budget
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Common for Consumer Packaged Goods (CPG): Example:
Market Share Objective: Plans to achieve 10% in category of 40 million potential users
10% * 40 million = 4 million users
Advertising Reach: Plans to reach 80% of potential users
80% * 40 million = 32 million people
Trial Rate: Plans to have 25% of informed prospects try the product
25% * 32 million = 8 million people
Customer Count: 50% who those who try it become customers
50% * 8 million = 4 million people
Advertising Impressions: Exposures to advertisements
30 impressions over 4 week campaign for 25% trial rate for each 1% of population
Gross Rating Points: GRP = 1 exposure to 1% of target population
30 impressions * 80% = 2400 GRP
Advertising Budget: Cost of Gross Rating Points (CPP)
CPP in Acmes area = $1800/point; Budget = 24900 * $1800 = $4320,000
11. Promotion Budget: Model-Based Method
Description: Set budget according to decision model
Example: ADBUDG model used for stable, traditional markets
Sample Calculations for Acme Example:
-Estimate market share for each of four conditions:
-Zero level advertising
-Maintenance level advertising
-50% boost advertising
-Saturation level advertising
-Build advertising effectiveness curve (model) based on those four points
-Predict market share given a proposed level of spending
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12. Market Response Model
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A market response model describes how the targeting market would respond (outputs)
to different levels of marketing activities (inputs).
E.g., if we put $x in advertising, how much sales ($y) we may expect as the result
If we know the market response to different marketing activities, we can optimize
resource allocation. E.g.,
Allocate an optimal level of ads input in market A
Optimize the ads resources across market A, B, and C
Optimize the resources allocated for ads and promotion,
13. Market Response Model
System
Marketing Actions
Inputs
Competitive Actions
Observed Market
Outputs
Environmental
Conditions
Objectives
Market
Response
Models
Product design,
price, advertising,
selling effort, etc.
Awareness level,
preference level
sales Level, etc.
Evaluation
(5)
Control Adaption
(6)
(1) (4)
(2)
(3)
14. Market Response Model for
Advertising
(Market A)
Sales Dollars
per 1,000
Persons per
Year
Advertising Dollars
per 1,000 Persons (in the target population) per Year
Saturation
advertising
Zero
advertising
Current
ad level
If increase
20% ad
15. Market Response Model for
Advertising
(Market B)
Sales Dollars
per 1,000
Persons per
Year
Advertising Dollars
per 1,000 Persons (in the target population) per Year
Saturation
advertising
Zero
advertising
Current
ad level
If increase
20% ad
19. Promotion Allocation: Linear Optimization Process
Vehicle Contribution: Determine effectiveness of campaigns, based on historical data
Promotion Objective: Declare promotion objective in equation form
Promotion Constraints: Specify promotion constraints in equation form
Optimization Model: Execute model
Vehicle
Contribution
Promotion
Objective
Optimization
Model
Promotion
Constraints
Promotion Data Budget Allocation
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20. Promotion Allocation: Constraints
Contractual Constraints
Company Policy Constraints
Financial Constraints
Legal Constraints
Typical
Promotion
Constraints
Budget NTE (not to exceed) $XXX/yr
Must follow legal regulations
Contracts with outside agencies
Observe company policies
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21. Promotion Allocation: Example
Direct Marketing: Emails sent directly to individuals within target market
Pay Per Click: Campaigns displaying ads during relevant Internet searches
Social Media: Paid advertisements on social media platforms
Promotion Vehicle Audience/Ad Cost/Ad Maximum Quantity
D: Direct Marketing 30 Viewers/Ad $30/Ad 30
P: Pay Per Click 30 Viewers/Ad $40/Ad 20
S: Social Media 40 Viewers/Ad $60/Ad 10
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22. Promotion Allocation: Example
Objective Function
Z = 30 * D + 30 * P + 40 * S
The equation applies the following variables:
Z = Our objective, in this case the total number of impressions from all promotion vehicles.
D = Quantity of direct marketing campaigns to run, given that each direct marketing campaign
results in 30 viewers per advertisement.
P = Quantity of pay per click campaigns to run, with 30 viewers per campaign.
S = Quantity of social media campaigns to run, with 40 viewers per campaign
Linear Optimization Element Equation
Objective Function Z = 30*D + 30*P + 40*S
Constraint #1: Budget B = 30*D + 40*P + 60*S <= $2,000
#2: Maximum campaigns/ month: D D <= 30
#3: Maximum campaigns/ month: P P <=20
#4: Maximum campaigns/ month: S S <= 10
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23. Promotion Allocation: Example
Promotion Constraints
B = 30 * D + 40 * P + 60 * S $2,000
The equation applies the following variables:
B = Our monthly budget
D = Quantity of direct marketing campaigns, which cost $30 each to run.
P = Quantity of pay per click campaigns, which cost $40 each to run.
S = Quantity of social media campaigns, which cost $60 each to run.
= Inequality sign, indicating that we may not exceed our maximum budget.
Linear Optimization Element Equation
Objective Function Z = 30*D + 30*P + 40*S
Constraint #1: Budget B = 30*D + 40*P + 60*S <= $2,000
#2: Maximum campaigns/ month: D D <= 30
#3: Maximum campaigns/ month: P P <=20
#4: Maximum campaigns/ month: S S <= 10
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24. Promotion Allocation: Example
Promotion Constraints
D 30: Cannot exceed 30 direct marketing campaigns per month
P 20: Cannot exceed 20 pay per click campaigns per month
S 10: Cannot exceed 10 social media campaigns per month
Linear Optimization Element Equation
Objective Function Z = 30*D + 30*P + 40*S
Constraint #1: Budget B = 30*D + 40*P + 60*S <= $2,000
#2: Maximum campaigns/ month: D D <= 30
#3: Maximum campaigns/ month: P P <=20
#4: Maximum campaigns/ month: S S <= 10
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25. Promotion Allocation: Optimization Model
Optimization Model:
Setup
Optimization Model:
Execution
Optimization Model:
Interpretation
Excel Solver function
Specific format Identify limiting factors
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26. Promotion Allocation: Setup
Changing Cells
Target Cell 30 30 40
Constraint #1: Budget 30 40 60
Constraint #2: D 30 1
Constraint #3: P 20
Constraint #4: S 10 1
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D P S
Columns for D, P, and S parameters
Changing cells for D, P, and S
Target Cell
(Contains objective equation)
Constraint, Left Side
(Contains constraint equation)
Constraint, Right Side
(Contains constraint value)
a b c
d
e f
g h
i j
k l
A B C D E F
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2
3
4
5
6
7
8
9
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28. Promotion Allocation: Execution
Solver Parameters
Set Target Cell: Solve
Options
Equal To: Max. Min.
$E$4
By Changing Cells:
Subject to the Constraints:
$B$2: $D$2
$E$6 <= $F$6
$E$7 <= $F$7
$E$8 <= $F$8
$E$9 <= $F$9
Add
Add Constraint
Cell Reference:
OK
$E$6 <=
Constraint:
=$F$6
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29. Promotion Allocation: Execution
Changing Cells
Target Cell 30 30 40
Constraint #1: Budget 30 40 60
Constraint #2: D 30 1
Constraint #3: P 20
Constraint #4: S 10 1
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D P S
Columns for D, P, and S parameters
Changing cells for D, P, and S
Target Cell
(Contains objective equation)
Constraint, Left Side
(Contains constraint equation)
Constraint, Right Side
(Contains constraint value)
30 20 5
170
0
200 200
30 30
20 20
5 10
A B C D E F
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2
3
4
5
6
7
8
9
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30. Promotion Allocation: Interpretation
Solver Results: Constraints
Solver Results: Summary
Promotion Vehicle Solver Result Cost/Ad Total Cost per Vehicle
D: Direct Marketing 30 (30 max.) $30/Ad $900
P: Pay Per Click 20 (20 max.) $40/Ad $800
S: Social Media 5 (10 max.) $60/Ad $300
Total Spending $2,000
Promotion Vehicle Solver Result Max. Allowable Status
D: Direct Marketing 30 30 Binding
P: Pay Per Click 20 20 Binding
S: Social Media 5 10 Not Binding
Budget $2,000 $2,0000 Binding
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31. Promotion Metrics for Traditional Media
Cost Per Thousand
Cost Per Point
Impressions
Gross Rating Points
Target Rating Points
Promotion
Metrics:
Traditional Media
Frequency
Reach
Vogue: Circulation 1.25M
# Exposures/ individual/ time
Reach * Frequency
Exposure level of ad to target
Popular budgeting number
Equivalent to exposures
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32. Promotion Metrics for Traditional Media
Frequency = # exposures per individual in target market over given time period
Reach = size of intended audience targeted by promotion
Reach
Exposure 1:
What is it?
Exposure 2:
What of it?
Exposure 3:
Should I buy it?
Reach Frequency
GRP
Gross Rating Points
GRP = Reach * Frequency
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33. Promotion Metrics for Traditional Media
Vogue: %College * %Employed * %Female = 64% * 64% * 89% = 36.5%
Elle: %College * %Employed * %Female = 70% * 67% * 87% = 40.8%
Target Rating Points = (Target Audience) / (Total Audience) * Gross Rating Points
= 36.5% * 50 = 18.25 Target Rating Points
Audience Data Vogue Elle
Total Audience 11,398,000 6,302,000
Circulation 1,250,000 1,145,000
Gender: Female % 89% 87%
Education: Any College 64% 70%
Employed 64% 67%
TRP
Target Rating Points
GRP
Gross Rating Points
Target Audience
Total Audience
Exposure level of ad to the target market
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34. Promotion Metrics for Traditional Media
Vogue Example:
Circulation = 1.25 million people
4-Color Ad Cost = $165,000
CPM = (Cost of Media Buy) / (Target Audience / 1,000)
= ($165,000) / ( 1.25 million / 1,000 ) = $132
CPM
(Cost Per Thousand)
Cost of Media Buy ($)
Target Audience (in 1000s)
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35. Promotion Metrics for Traditional Media
Cost per Point Calculations: Vogue and Elle print magazines
CPP
(Cost Per Point)
Cost of Media Buy ($)
Vehicle Rating
Magazine Cost/ Ad Circulation CPM Rating CPP
Vogue $165,000 1,250,000 $132 36.5 $4,520
Elle $148,000 1,145,000 $129 40.8 $3,627
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36. Promotion Metrics for Social Media
Source Social media conversion sources and events
Blog Subscription Prospect signs up to be notified of new blog posts
Call Back Requests Prospect requests callback
Contact Forms Prospect enters information and clicks Submit
Content Downloads Prospect requests download of report or other content
Contest Entry Prospect enrolls in contest by filling out form
Demo Signup Prospect signs up for live demo or other event
Live Chat Prospect engages in live dialog with company agent
Purchase Prospect places online order for product or service
Subscriptions Prospect requests subscriptions to newsletters
User Registration Prospect registers to receive ongoing access
Video Viewing Prospect watches featured video on website
Webinar Signup Prospect signs up for web-based seminar
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37. Promotion Metrics for Social Media
Social media measurement tool categories
Category Description, Target User, Example
Built-in Tools Metrics capabilities included with social media application
Target: Small businesses or personal use
Example: Metrics within Facebook, LinkedIn, Twitter
Aggregators Combines metrics from multiple sources
Target: Small businesses
Example: Hootsuite, Klout, SocialMention
Professional Provides deep dive into significant data
Target: Dedicated social media professional
Examples: Cision, Cymfony, Radian6, ScoutLabs
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38. Promotion Metrics for Social Media
Social media measurement tools: Native (built-in) tools
Vehicle Sample Measurement Capabilities
Facebook Fans: Total fans; New fans; Removed fans
Subscribers: Un-subscribers; Re-subscribers
Interactions: Total number of comments; Wall posts
LinkedIn Personal account, standard: Profile views
Personal account, Business Plus: Traffic sources
LinkedIn Groups: Total members; New postings
Twitter Number of followers; Number of followings; Number of tweets
YouTube Views: Total views; Unique viewers
Popularity: Relative popularity; Top videos
Hot Spots: Viewership compared to other same-length videos
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39. Promotion Metrics for Social Media
Social media measurement tools: Aggregators
Tool Sample Measurement Capabilities
Hootsuite Social media dashboard to manage & measure social networks
Tracks brand mentions and analyzes social media traffic
Klout Estimates level of influence based on data from Facebook, etc.
Displays list of most influential followers
Socialmention User-selected sources: Facebook, Twitter, YouTube, etc.
Social media insight: Strength, Sentiment, Passion, Reach
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40. Promotion Metrics for Social Media
Social media measurement tools: Professional-level tools
Tool Sample Measurement Capabilities
Cision Tailored to public relations, marketing, and media relations
Includes media monitoring and other PR tasks
Cymfony Social media monitoring and analytics
Acquired by Visible Technologies in 2012
Radian6 Social media dashboard and console
Acquired by Salesforce.com in 2011
Scout Labs Scans Web, analyzes data, identifies trends
Acquired by Lithium in 2010
Techrigy Searches Web and analyzes data for relevant trends
Acquired by Alterian in 2009
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41. Promotion Metrics for Social Media
Referral Level: Users refer to others
Dialog Level: Users communicate
Engagement Level: Users act
Referral
Dialog
Engagement
Viewer
Viewer Level: Users view content
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45. Check for Understanding
Topic Description
Estimation Explain how to estimate the total promotion budget
Allocation Describe how to allocate promotion budget across vehicles
Traditional Address performance metrics for traditional media
Social Describe tracking metrics for social media
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