Revenue Attribution - Ted Stites, Numeric Analytics
-
Upload
joshua-tree-internet-media-llc -
Category
Documents
-
view
1.376 -
download
0
description
Transcript of Revenue Attribution - Ted Stites, Numeric Analytics
![Page 1: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/1.jpg)
AIM 2010
Revenue Attribution
Ted StitesVice President of Consulting
![Page 2: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/2.jpg)
Objective
The purpose of this discussion is to identify the challenges, required data elements and components in answering the question; What is Working?, with Revenue Attribution.
![Page 3: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/3.jpg)
The Tough Questions
• How many leads did each campaign drive?• How much revenue did a particular ILS drive?• Should I be doing Social Media?• What is working?
![Page 4: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/4.jpg)
Common Challenges
• Many are wrestling with these questions.• Similar challenges to retail businesses.• Seems like a simple question, but can have
some complex answers.• Many approaches to answering these
questions. One is applying Revenue Attribution Models.
![Page 5: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/5.jpg)
Sign of the Times
Don't Know
Less than 1%
1%-5%
6%-10%
11%-19%
20%-29%
30% or more
0% 5% 10% 15% 20% 25% 30% 35% 40% 45% 50%
0.01
0.01
0.12
0.17
0.24
0.44
1%
1%
21%
22%
20%
17%
16%
TodayIn 5 Years
Source: “Next-Generation Marketing and Measurement,” a commissioned study conducted by Forrester Consulting on behalf of Omniture, June 2009
What percentage of your program budget (excluding personnel/salaries) is spent on online media today? What percentage of your program budget do you predict will be spent on online media five years from now?
![Page 6: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/6.jpg)
6
When & How is Hyper-Complex
@
emailAgent
Viral
Gaming
Social Network
Casts & Txt
MobileCableATM
TV / Mass
Mail / Statements
Retail
IVR
Web
Vending
Lower Touch
Automated Interaction
Transaction Ease
Agnostic Customers
Low Switching Costs
+
![Page 7: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/7.jpg)
7
SeeValue
Need CommitPay / Assess Value
Issue / Need More
The Baby Boomer
TV/Mass Retail Retail Agent
The Millennial
Social Network Viral Web ePay Casts & Txt
Retail
BalanceCost & Ease
TouchFactor
ContentFactor
When & How is Hyper-Complex
![Page 8: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/8.jpg)
Keys to SuccessEngage in cross-channel
measurement and analytics
Identify high-value segments
Deliver targeted offers
2.5X higher revenue growth rates
5X higher customer conversion growth rates
3X higher customer profitability growth rates
1 “Cross-Channel Campaign Management: Next Generation Multichannel Marketing”Aberdeen Group, October 2008
![Page 9: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/9.jpg)
"Never confuse motion with action.“
~ Benjamin Franklin
Yeah… we are doing that
![Page 10: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/10.jpg)
Measuring Value
Marketing effectiveness $1m
Reducing duplicate spend $.2m
Campaign effectiveness $.5m
Customer experience $.3m
Deliverables
Rev Increase
Customer Profit Mgmt
Reduce Cost
Critical Success Factors
25%Return
on Spend
Benefit
Directly impacts NOI
![Page 11: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/11.jpg)
Others that use Revenue Attribution
ResultReduced Paid Search Cost Per Lead by 173% while maintaining conversion rates,
which resulted in over $1 million in annual savings.
Approach
Multiple Attribution Views
Current StateHigh Acquisition Costs Low Measurement Capabilities
Objective
Produce the same with less money
![Page 12: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/12.jpg)
Others that use Revenue Attribution
ResultAllowed for site selection, scoring and prioritization of leads for marketing campaigns.The
highest-ranked leads had a 48% higher response rate than average.
Approach
Graphical density maps of the U.S., scoring table ranking zip codes by propensity to hold higher concentrations of ‘best’ customers created.
Current StateLots of data, with little segmentation Lacked ability to tie segmentation to
financials
Objective
Prioritize site selection and customer prospecting by attempting to locate potential customers and/or areas most likely to hold high numbers of “best” (i.e., high-value) customers.
![Page 13: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/13.jpg)
Others that use Revenue Attribution
ResultThe highest-ranked leads had a 48% higher response rate than average.
Approach
Model was used to score prospects in areas targeted for acquisitions
The model validated successfully across several years and across different geographic markets.
Current StatePossessed past program data Lacked ability to rank customer prospects on
probability
Objective
Client wanted to improve sales conversion by differentiating leads based on customer propensity to accept a wireless service offer.
![Page 14: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/14.jpg)
Lease
Lead
1000
300
What we know…• I know I added 1,000 leads this
week.• I know I wrote 300 leases this week.
What we don’t know…
• Which leases were driven by ILS’s,
Search Marketing, Email, CraigsList?
• Did we touched them multiple
times and if so, how/where?
• How did they interact with my ads?
• How do I make it better?
![Page 15: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/15.jpg)
Lease
Lead
Marketing Channels & Tactics
![Page 16: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/16.jpg)
Lead
Marketing Channels & Tactics
Lease
What’s working?
![Page 17: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/17.jpg)
AIM 2010
Revenue Attribution
A Complex Question…
PlatformsProcesses
People
![Page 18: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/18.jpg)
What does real behavior look like?
Understanding Behavior
![Page 19: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/19.jpg)
SEO SEM ILS Craigslist TV Print Radio Billboard
Lease
Phone Click-Through Email Walk - In
Responses
Lead
Website Mobile Onsite
Advertisements
$
Left Site
![Page 20: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/20.jpg)
What data elements should I consider when building a revenue attribution model?
The Right Data
![Page 21: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/21.jpg)
SEO SEM
Lease
Phone Click-Through
Responses
Lead
Website Onsite
Advertisements
$
Left Site
Data Elements1. Channels2. Touch Order3. Granularity
![Page 22: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/22.jpg)
SEO SEM
Lease
Phone Click-Through
Responses
Lead
Website Onsite
Advertisements
$
Left Site
Data Elements1. Length of
Time
![Page 23: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/23.jpg)
SEO SEM
Lease
Phone Click-Through
Responses
Lead
Website Onsite
Advertisements
$
Left Site
Data Elements1. Date of
Allocation
![Page 24: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/24.jpg)
AIM 2010
The Platforms
![Page 25: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/25.jpg)
SEO SEM ILS Craigslist TV Print Radio Billboard
Lease
Phone Click-Through Email Walk - In
Responses
Lead
Website Mobile Onsite
Advertisements
Ad Serving & Tracking
Analytics
Lead ManagementLease
PropertyManagement
Guest Card
![Page 26: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/26.jpg)
AIM 2010
The Processes
![Page 27: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/27.jpg)
Processes
• Tagging for Analytic Data
• Capturing Lead Data
• Guest Card
• Property Management Data
• 3rd Party Data
• Reporting
• Modeling
![Page 28: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/28.jpg)
Attribution ModelsFirst Touch Last Touch Revenue
First $1,000 $1,000
Last $1,000 $1,000
Linear $500 $500 $1,000
Weighted $250 $750 $1,000
Regression & Media Mix
![Page 29: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/29.jpg)
AIM 2010
The People
![Page 30: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/30.jpg)
Cross Functional Expertise
Data management and segmentation
Technology Integration
Strategy
5%
12%
48%
15%
8%
10%
12%
12%
4%
Source: “Next-Generation Marketing and Measurement,” a commissioned study conducted by Forrester Consulting on behalf of Omniture, June 2009
What skills do you predict will be most critical to your marketing organization over the next five years?
*Top 3 Responses
1st Choice 2nd Choice 3rd Choice
![Page 31: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/31.jpg)
Well Rounded People
![Page 32: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/32.jpg)
AIM 2010
Now that we know what’s working…
How do I make it Better?
![Page 33: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/33.jpg)
Communication
![Page 34: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/34.jpg)
Visited > 1 50%Visited > 3 30%Average Research 66 day
Prior Research
NoResearch
Rent.com18%
Apartments.com32%
RentCarmel.com26%
CraigsList14%
Other10%
Conversion by Channel
Responses
Leads
Leases
255 207 1534 750 1765 962
CraigsEmail ILS Walk-InSEM Phone
1500 1687 5897 3452 5421 4158
3585124485256774
What responses, leads, and leases did each channel
produce?What percent of people are researching via multiple
channels?
How many channels are they visiting and how long are they
researching?
What channel did they visit prior to the converting
channel?
![Page 35: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/35.jpg)
Touches > 1 40%Touches > 3 35%Average Touches 2.5
Responses by TypeLe
ases
OneTouch
More than 2
How did people respond to us?
How many times are we touching them before
converting?
What is the average times we touch a customer?
![Page 36: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/36.jpg)
Cost Per Lease
Average Cost Per Lease$1,900Lead Lease Rate
28%
What is the Cost per Lease
of each Channel?
What is our CPL trending up over
the recent weeks?
What is our average CPL & at what rate are we converting them?
![Page 37: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/37.jpg)
AIM 2010
Where can we go with this?
Tracking
Learning
Modeling
![Page 38: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/38.jpg)
How else?
1. Damage Deposits
2. # of Applications vs. # of Approvals
3. Its more than revenue attribution, it also becomes
Customer Experience
![Page 39: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/39.jpg)
Progression
1. Different Models
2. Establish the foundation to connect the dots
3. Start Simple and add to it based on learning's
![Page 40: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/40.jpg)
Customer Lifecycle Framework
Bad Debt/Churn
0
500
1000
1500
-500
-1000
-1500
-2000
Cum
ulat
ive
Cus
tom
er L
ifetim
e V
alue
In D
olla
rs
Months of Life1 2 3 4 12 13 36 37 38 39 40 41
RevenuesCosts
Market
Acquisition
Fulfill
Cash and Costto Serve
Deposits
RenewalPromos
Market Acquire Fulfill Serve Up Sell
Maintain
Churn
Up sell
Maintain
CustomerCare Costs
*McKinsey
By managing the Customer Lifecycle indicated a company can increase lifetime value and consequently EBITDA by up to 20%*.
![Page 41: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/41.jpg)
How do you leverage segmentation?Relative Customer Value
Cost to Serve
Rev
enu
e
Low
Lo
w
High
Hig
h
Valuable-Low TouchCustomers
Valuable-High Touch Customers
Average Customers
High Touch Customers
Most Profitable
Least Profitable
Develop an understanding of which customers to focus retention efforts
Retain
Create initiatives designed to migrate low revenue customers toward being valuable customers
Grow
![Page 42: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/42.jpg)
AIM 2010
Yeah, but
![Page 43: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/43.jpg)
Have the ability to Act
• Budgets
• Automation
![Page 44: Revenue Attribution - Ted Stites, Numeric Analytics](https://reader036.fdocuments.us/reader036/viewer/2022062702/55492c4bb4c9054c498c02ad/html5/thumbnails/44.jpg)
In Closing…
1. It can be complex, but don’t let that hold you back. There are big
opportunities to be had.
2. Identify the data elements and attribution model(s) you want to apply.
3. Assess your current state and capabilities, then create a competency and
progression plan.
4. Establish the foundation with a complete data capture strategy.
5. Clearly define the questions that you want to answer, don’t try to measure
everything.