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©2016 MediaMath Inc. 1
Predictive Audiences & Trends for better ROI
Roberto L’hopital
Global EVP Growth and Development
Mexico City, May 2017
©2016 MediaMath Inc. 2
• Marketing powered by tech• #1 Marketing O/S
About Us
• #1 network USH
©2016 MediaMath Inc. 3
Predictive Audiences Solves Marketer Challenges
Acquire new customers
beyond your own user base.
Brands use vast amounts
of data, combined with
predictive analytics, to
find shoppers who look
like their best customers
Decrease CPA
and increase ROAS.
Target only those
users with highest
propensity to convert
and eliminate wasted
media spend.
Drive revenue
with increased retention.
identify which customers
are most likely to re-
engage, and target them
with higher bids and
relevant offers.
©2016 MediaMath Inc. 4
Predictive Audiences
Reach more consumers
at scale who look
and act like your
most valuable
customers
Target consumers
who’ve recently
displayed similar
interests, behaviors or
other attributes
Identify the most
valuable consumers
within your own
(and your industry’s)
customer base
Lookalike
Audiences
(for acquisition)
Targeted
Audiences
(for insights)
Audience
Scoring
(for loyalty)
©2016 MediaMath Inc. 5
Start with a Seed
Seed data can be your
own customers, or
users who buy within a
specific category. It
can be online or offline
data.
93
72
83
98
89
81
Optimize Models &
Score Users Daily
Provide predictive
scores for users in each
model daily, across
hundreds of million of
cookies
Identify Behavioral
Patterns to Predict
Conversion
Models are built using
numerous statistical
methods. The one
predicting the highest lift
is used
Seed
Data
Thousands
of purchase &
interest variables,
including recency
& frequency
93
78
Segment Audiences by
Scores & Deploy
Campaigns
Segments are
customizable by score;
campaigns can be
optimized toward highest-
performing audiences
Segment 1:
Top 250K Scores
Segment 2:
Next 250K Scores
Predictive Modeling: How Does it Work?
©2016 MediaMath Inc. 6
Lookalike Audiences
 Identify high-value consumers who look and
act like your best customers
 Build these audiences quickly and easily
 Use predictive analytics to drive higher
response rates
 Amplify your messaging by reaching more of
your best prospects at scale
FACT
CPAs driven by MediaMath
Lookalike Audiences
are up to 52% lower than CPAs
driven by traditional
prospecting strategies
©2016 MediaMath Inc. 7
Targeted Audiences
 Understand what your customers browse
and buy on other sites to inform campaign
strategy and messaging
 Learn the most common types of customers
engaging with your brand to enable a true
understanding of your audience
 Activate these profiles in MediaMath’s
omnichannel DSP to optimize spend and
increase response rates
©2016 MediaMath Inc. 8
Audience Scoring
Understand who among all your
past customers are actually the
most valuable, and make smart
remarketing decisions about:
 Which of them to target
 Your bid strategy
 What messaging to display
All of your past customers…
Your highest-scoring past customers
(target them!)
©2016 MediaMath Inc. 9
• Reactivate Lapsed Buyers
• Maximize ROI
Audience Scoring
Scored audiences drive an
average 7:1 ROI
• Acquire New Customers
• Extend Awareness
CPAs were 13x better
then with other
prospecting strategies
Predictive Analytics Increases
Engagement and Conversion
Lookalike Audiences
UseCaseProofPoint
• Extend Audience Reach
• Target In-Market Buyers
Targeted Audiences
CPAs were 3.5x more
efficient compared to
other strategies
©2016 MediaMath Inc. 10
Detailed Attribute Analysis
What are my customers browsing and buying?
Insights &
Recommendations
• ~58K customers exhibited an
interest in News Sites and
purchased in the last 15 days
• Customers who exhibit this
interest are 299% more likely
to convert than those who
don’t
• This advertiser should target
News audiences to optimize
efficiency and ROI
User Attribute Reports
©2016 MediaMath Inc. 11
Walled Garden vs. Open
• 100% collaborative to bring the best of the ecosystem
among top companies
• Maximize ROI
• Tech and audience limitations
• Biased analysis
• Potential conflicts of interests
Implications
©2016 MediaMath Inc. 12
FB Retargeting
• Access to brand safe, price competitive and highest reach inventory
• Reach retargeting users before, better and a at lower cost
• Lower CPA and higher ROAS
Implications
©2016 MediaMath Inc. 13
Adtech + Martech
• Bring your more valuable 1st party data (Watson CRM) to the market and bid with the
precision you designed
• Better ROAS, lower CPA, more insights on your own audience
Implications

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Presentación Roberto L'hospital / Headway Digital - eRetail Day México 2017

  • 1. ©2016 MediaMath Inc. 1 Predictive Audiences & Trends for better ROI Roberto L’hopital Global EVP Growth and Development Mexico City, May 2017
  • 2. ©2016 MediaMath Inc. 2 • Marketing powered by tech• #1 Marketing O/S About Us • #1 network USH
  • 3. ©2016 MediaMath Inc. 3 Predictive Audiences Solves Marketer Challenges Acquire new customers beyond your own user base. Brands use vast amounts of data, combined with predictive analytics, to find shoppers who look like their best customers Decrease CPA and increase ROAS. Target only those users with highest propensity to convert and eliminate wasted media spend. Drive revenue with increased retention. identify which customers are most likely to re- engage, and target them with higher bids and relevant offers.
  • 4. ©2016 MediaMath Inc. 4 Predictive Audiences Reach more consumers at scale who look and act like your most valuable customers Target consumers who’ve recently displayed similar interests, behaviors or other attributes Identify the most valuable consumers within your own (and your industry’s) customer base Lookalike Audiences (for acquisition) Targeted Audiences (for insights) Audience Scoring (for loyalty)
  • 5. ©2016 MediaMath Inc. 5 Start with a Seed Seed data can be your own customers, or users who buy within a specific category. It can be online or offline data. 93 72 83 98 89 81 Optimize Models & Score Users Daily Provide predictive scores for users in each model daily, across hundreds of million of cookies Identify Behavioral Patterns to Predict Conversion Models are built using numerous statistical methods. The one predicting the highest lift is used Seed Data Thousands of purchase & interest variables, including recency & frequency 93 78 Segment Audiences by Scores & Deploy Campaigns Segments are customizable by score; campaigns can be optimized toward highest- performing audiences Segment 1: Top 250K Scores Segment 2: Next 250K Scores Predictive Modeling: How Does it Work?
  • 6. ©2016 MediaMath Inc. 6 Lookalike Audiences  Identify high-value consumers who look and act like your best customers  Build these audiences quickly and easily  Use predictive analytics to drive higher response rates  Amplify your messaging by reaching more of your best prospects at scale FACT CPAs driven by MediaMath Lookalike Audiences are up to 52% lower than CPAs driven by traditional prospecting strategies
  • 7. ©2016 MediaMath Inc. 7 Targeted Audiences  Understand what your customers browse and buy on other sites to inform campaign strategy and messaging  Learn the most common types of customers engaging with your brand to enable a true understanding of your audience  Activate these profiles in MediaMath’s omnichannel DSP to optimize spend and increase response rates
  • 8. ©2016 MediaMath Inc. 8 Audience Scoring Understand who among all your past customers are actually the most valuable, and make smart remarketing decisions about:  Which of them to target  Your bid strategy  What messaging to display All of your past customers… Your highest-scoring past customers (target them!)
  • 9. ©2016 MediaMath Inc. 9 • Reactivate Lapsed Buyers • Maximize ROI Audience Scoring Scored audiences drive an average 7:1 ROI • Acquire New Customers • Extend Awareness CPAs were 13x better then with other prospecting strategies Predictive Analytics Increases Engagement and Conversion Lookalike Audiences UseCaseProofPoint • Extend Audience Reach • Target In-Market Buyers Targeted Audiences CPAs were 3.5x more efficient compared to other strategies
  • 10. ©2016 MediaMath Inc. 10 Detailed Attribute Analysis What are my customers browsing and buying? Insights & Recommendations • ~58K customers exhibited an interest in News Sites and purchased in the last 15 days • Customers who exhibit this interest are 299% more likely to convert than those who don’t • This advertiser should target News audiences to optimize efficiency and ROI User Attribute Reports
  • 11. ©2016 MediaMath Inc. 11 Walled Garden vs. Open • 100% collaborative to bring the best of the ecosystem among top companies • Maximize ROI • Tech and audience limitations • Biased analysis • Potential conflicts of interests Implications
  • 12. ©2016 MediaMath Inc. 12 FB Retargeting • Access to brand safe, price competitive and highest reach inventory • Reach retargeting users before, better and a at lower cost • Lower CPA and higher ROAS Implications
  • 13. ©2016 MediaMath Inc. 13 Adtech + Martech • Bring your more valuable 1st party data (Watson CRM) to the market and bid with the precision you designed • Better ROAS, lower CPA, more insights on your own audience Implications

Editor's Notes

  1. Lookalike Audiences allow you to target consumers that look the most like your core audience set. This enables advertisers to convert new customers more effectively while maintaining efficiency. Our clients often see this strategy result in 52% lower CPAs than with traditional prospecting strategies. Audience Scoring allows you to reactivate customers more cost effectively. We enable advertisers to identify which users are more likely to respond now, based on recent internet activty. Only the consumers with the highest indication of intent will be made targetable in these segments to minimize waste. PERFORMANCE STAT
  2. **This might not be relevant to all products/solutions** Provide a historical view and/or explain the demand you’ve seen come in for this Product. Call out clients or other forces that caused us to invest in <product> growth. How has the <product> evolved
  3. Specify restrictions that would limit a client from using this <Product> Specify any <Product> limitations within TerminalOne If there are any Data Policy & Governance implications, explain here.
  4. EXAMPLES A children’s clothing retailer wants to find users at scale likely to be in-market for kids’ clothes A financial services provider wants to reach customers seeking information on a home loan A CPG brand with no e-commerce presence wants to find users online interested in their products A flowers & gifts retailer has data on customers who bought around a certain holiday, and wants to reach more of them the following year
  5. EXAMPLES A children’s clothing retailer wants to find users at scale likely to be in-market for kids’ clothes A financial services provider wants to reach customers seeking information on a home loan A CPG brand with no e-commerce presence wants to find users online interested in their products A flowers & gifts retailer has data on customers who bought around a certain holiday, and wants to reach more of them the following year
  6. Offline data may include : in-store, email, promotions, mail-ins, etc., OR online transactional data older than 60 days
  7. Lookalike Audiences allow you to target consumers that look the most like your core audience set. This enables advertisers to convert new customers more effectively while maintaining efficiency. Our clients often see this strategy result in 52% lower CPAs than with traditional prospecting strategies. Audience Scoring allows you to reactivate customers more cost effectively. We enable advertisers to identify which users are more likely to respond now, based on recent internet activty. Only the consumers with the highest indication of intent will be made targetable in these segments to minimize waste. PERFORMANCE STAT
  8. Lookalike Audiences allow you to target consumers that look the most like your core audience set. This enables advertisers to convert new customers more effectively while maintaining efficiency. Our clients often see this strategy result in 52% lower CPAs than with traditional prospecting strategies. Audience Scoring allows you to reactivate customers more cost effectively. We enable advertisers to identify which users are more likely to respond now, based on recent internet activty. Only the consumers with the highest indication of intent will be made targetable in these segments to minimize waste. PERFORMANCE STAT