SlideShare a Scribd company logo
We combine long
advertising experience with
in-depth digital technical
know how
Google Ads
Smart Bidding
How we turned machine learning data into
an effective smart bidding strategy. €
WHY
MACHINE
LEARNING
WHY
SMART BIDDING
HOW
SMART BIDDING
WORKS
SMART BIDDING
FOR SEARCH
CASE STUDY
PAPAKI.COM
WHY
MACHINE
LEARNING
AI
is the science of making things smart
Computing Power
There is an exponential growth of technology capabilities that is
calculated to double its effect every 18 months.
Power Abundance of data
As users we produce a huge amount of data every day. Google
announced that only via its search engine, over 3 trillion queries are
generated in a yearly basis.
WHY
SMART BIDDING
Bidding is a challenge
Until recently, bidding was relatively simplistic:
As advertisers we placed a keyword-level bid according to the
possibility that this keyword will lead to a conversion based on last
click attribution model
Since then, more and more signals have been added as data points
such as device type, time, weekday, location that can be featured
into our bidding strategies
Today, the available signals have been multiplied and as a result,
as advertisers, we are not capable of calculating such big data in
order to come up with the best bid for each keyword or audience.
Demographics
Search Network
Partner
Conversion
Path
Conversion
Rate / Value
Demographics
Ad Creative
Audience
Segment
Device Type
Operating
System
Application
BrowserTime
Device Weekday
Locations
WHY
SMART BIDDING
KEYWORD
BIDS
from a few signals
to many many more
WHY
SMART BIDDING
Work Faster with
Advanced Machine Learning
In bidding, machine learning algorithms train on data at a vast
scale and help us make more accurate predictions across
your account about how different bid amounts might impact
conversions or conversion value.
Work Smarter
Using smart bidding strategies, we can dedicate less time to
daily campaign optimization tasks and utilize that time to
improve our client’s overall strategy
Win More
Having correctly set-up our smart bidding campaigns, we can
achieve greater results with the available budget while
maintaining control over spend.
HOW
SMART BIDDING
WORKS
AdWords Core Capabilites
SMART BIDDING
FOR SEARCH
Steps to follow when applying Βidding for the
first time:
1. Start manual bidding
U s e m a n u a l C P C
2. Get about 50 transactions
over last 30 days
3. Apply Smart Bidding
S e l e c t a n y o f t h e a v a i l a b l e m e t h o d s t h a t
m e e t y o u r n e e d s
4. Wait 3-4 weeks and evaluate
CASE STUDY
Leveraging Smart Bidding
strategies in order to
transform Google Display
into a profitable channel
for Papaki.com
We gathered first party data
from our client that were
held in in-house CRM
systems.
We combined the data our client
gave us with third party data
from Google Analytics & Google
Ads platforms to gain deep
audience insights.
Based on this data combination,
we created many unique
audiences of existing
customers that had different
product needs and preferences.
Moreover, we built on the
existing customers profiles to
build similar audiences for
attracting potential new clients.
We matched each different
audience group with the
customized Display Responsive
Ads and launched carefully
structured campaigns using
Manual Bidding to gather the
necessary conversion data.
After 15 days, we acquired the
required conversion data that
the Google Machine Learning
algorithm needs and we
launched unique and portfolio
smart bidding strategies.
After 30 days, we had the data
to evaluate and considerably
optimize the smart bidding
strategies to maximize ROI for
the selected campaigns.
The optimization process on
throttling the Machine Learning
algorithm in our favor is
continuous as we keep
increasing
our audience reach.
Manual Bidding
Rule based Bidding
Adwords Automated Rules
Adwords Scripts
Third Party Platform
Automated Bidding
(1-2 bid refreshes per day on avg.)
AdWords
Auction-Time
Bidding
CASE STUDY RESULTS
Since the AI-based smart bidding algorithm effectively
gathered conversion data, we used both existing and new
customers audiences to yield
increase in Conversions increase in ROI
The combination of first party data and third party data allowed us to
take full advantage of Google smart bidding strategies by building
unique custom audiences and use
newly featured Display Responsive ads .
As a result, not only did we effectively
upsell to our existing clients,
but we also managed to
attract new customers and increase our
product sales in a profitable manner.
CASE STUDY KEY FACTOR
thank you!
linkedin.com/company/sem-wizard/
info@sem-wizard.com

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Sem wizard How we turned machine learning data into an effective smart bidding strategy

  • 1. We combine long advertising experience with in-depth digital technical know how
  • 2. Google Ads Smart Bidding How we turned machine learning data into an effective smart bidding strategy. €
  • 3.
  • 5. WHY MACHINE LEARNING AI is the science of making things smart Computing Power There is an exponential growth of technology capabilities that is calculated to double its effect every 18 months. Power Abundance of data As users we produce a huge amount of data every day. Google announced that only via its search engine, over 3 trillion queries are generated in a yearly basis.
  • 6. WHY SMART BIDDING Bidding is a challenge Until recently, bidding was relatively simplistic: As advertisers we placed a keyword-level bid according to the possibility that this keyword will lead to a conversion based on last click attribution model Since then, more and more signals have been added as data points such as device type, time, weekday, location that can be featured into our bidding strategies Today, the available signals have been multiplied and as a result, as advertisers, we are not capable of calculating such big data in order to come up with the best bid for each keyword or audience.
  • 7. Demographics Search Network Partner Conversion Path Conversion Rate / Value Demographics Ad Creative Audience Segment Device Type Operating System Application BrowserTime Device Weekday Locations WHY SMART BIDDING KEYWORD BIDS from a few signals to many many more
  • 8. WHY SMART BIDDING Work Faster with Advanced Machine Learning In bidding, machine learning algorithms train on data at a vast scale and help us make more accurate predictions across your account about how different bid amounts might impact conversions or conversion value. Work Smarter Using smart bidding strategies, we can dedicate less time to daily campaign optimization tasks and utilize that time to improve our client’s overall strategy Win More Having correctly set-up our smart bidding campaigns, we can achieve greater results with the available budget while maintaining control over spend.
  • 10. SMART BIDDING FOR SEARCH Steps to follow when applying Βidding for the first time: 1. Start manual bidding U s e m a n u a l C P C 2. Get about 50 transactions over last 30 days 3. Apply Smart Bidding S e l e c t a n y o f t h e a v a i l a b l e m e t h o d s t h a t m e e t y o u r n e e d s 4. Wait 3-4 weeks and evaluate
  • 11. CASE STUDY Leveraging Smart Bidding strategies in order to transform Google Display into a profitable channel for Papaki.com
  • 12. We gathered first party data from our client that were held in in-house CRM systems.
  • 13. We combined the data our client gave us with third party data from Google Analytics & Google Ads platforms to gain deep audience insights.
  • 14. Based on this data combination, we created many unique audiences of existing customers that had different product needs and preferences. Moreover, we built on the existing customers profiles to build similar audiences for attracting potential new clients.
  • 15. We matched each different audience group with the customized Display Responsive Ads and launched carefully structured campaigns using Manual Bidding to gather the necessary conversion data.
  • 16. After 15 days, we acquired the required conversion data that the Google Machine Learning algorithm needs and we launched unique and portfolio smart bidding strategies.
  • 17. After 30 days, we had the data to evaluate and considerably optimize the smart bidding strategies to maximize ROI for the selected campaigns. The optimization process on throttling the Machine Learning algorithm in our favor is continuous as we keep increasing our audience reach. Manual Bidding Rule based Bidding Adwords Automated Rules Adwords Scripts Third Party Platform Automated Bidding (1-2 bid refreshes per day on avg.) AdWords Auction-Time Bidding
  • 18. CASE STUDY RESULTS Since the AI-based smart bidding algorithm effectively gathered conversion data, we used both existing and new customers audiences to yield increase in Conversions increase in ROI
  • 19. The combination of first party data and third party data allowed us to take full advantage of Google smart bidding strategies by building unique custom audiences and use newly featured Display Responsive ads . As a result, not only did we effectively upsell to our existing clients, but we also managed to attract new customers and increase our product sales in a profitable manner. CASE STUDY KEY FACTOR

Editor's Notes

  1. We combine long advertising experience with in-depth digital technical know how (εικόνα/post Gold Best Omnichannel Campaign 2019 – Peak Awards + google premier partners)