google partners masterclass melbourne presentation
TRANSCRIPT
Welcome to Masterclass 2017
Every month, in Australia & New Zealand, Google drives tens of millions of direct connections
between businesses & their customers
Snowy’s
Many reasons to celebrate our great 2017 together
Today's agenda and logistics
12:00PM Registration, lunch and demos
12:45PM Welcome Rebecca Mason & Jean Magalhaes
12:55PM From a mobile-first, to an AI-first world Aisling Finch
1:20PM Optimisation and Automation Dave Booth
2:30PM Break and demos
3:00PM Measurement and Attribution Dave Booth
4:05PM Agency of the Future Martin Curtis
5:00PM Day Recap and closing remarks Rebecca Mason & Jean Magalhaes
5:10PM Networking, drinks and demos
#Masterclass2017
Marketing Director Google AU/NZ
Aisling Finch
From a mobile-first, to an AI-first world
Why AI and ML in Masterclass?
Definition
AI (artificial intelligence) - science of making things smart, to a point they can perform sophisticated tasks, such as play Go, or recognise the content in a given photo.
ML (Machine Learning) - is a technique to develop AI. ML is all about learning from examples, and getting computers to do something without being explicitly programmed to do so
01
01Why AI-first?
02Meet the Assistant
01Why AI-first?
Helping us with everyday problems
01
Machine Learning is already improving many of our products
Search Search ranking
Speech recognition
Play App recommendations
Game developer experience
Gmail Smart reply
Spam classification
Drive Intelligence in Apps
Chrome Search by image
Maps Parsing local search
Translate Text, graphic and speech
translation
Cardboard Smart stitching
Photos Photos search
Assistant Smart connections
across products
YouTube Video recommendations
Better thumbnails
Android Keyboard & speech input
01
…and solving old problems
01
Data Centres energy efficiency
01
01
01
01
Breast Cancer diagnosis
Biopsy Slide Ground Truth (from pathologist)
Model Prediction
01
01
01 02Meet the Assistant
Why AI-first?
02Meet the
Assistant
02
Assistant: connection between features across our products
02
Google’s speech recognition technology now has a 4.9% word error rate*
July 2016 Oct 2016 Dec 2016 Current
8.5%
6.8%6.1%
4.9%
Source: Emil Protalinski, @EPRO, May 17, 2017
*US English only
02
02
02
We’re living in a world of moments
02
Thank you
Do you have a question about today’s content? Participate in the live Q&A using Sli.do
Step 1: Visit https://www.sli.do/
Step 2: Enter event code #Masterclass17
Step 3: Submit your questions / upvote existing ones
Three questions will be answered at the end of each presentation
Founding and Senior Partner Cardinal Path
Dave Booth
Optimisation & Automation
Aligning expectations
Things that will kill you while swimming/ surfing/ otherwise in the water
Things that will kill you
P. Sherman 42 Wallaby Way, Sydney, NSW
AI, ML, DL, GDTLAs
IAAI
The heavy-lifting task of optimising for performance
Are you making the best use of
your time?
Are you driving the best results
possible?
Are you operating in the most
profitable way?
The two elements of optimisation we’ll cover in this section
BiddingCreatives0201
Creatives01
The art of showing generic ads to hyper targeted audiences
“
01
of consumers who own multiple devices switch between screens to complete a task.
90%
more likely to be influenced by targeted digital ads.
2x
sources consulted before making a purchase.
10+
Consumer journey is more complex than ever
Source: https://www.thinkwithgoogle.com/research-studies/mobile-path-to-purchase-5-key-findings.html | https://www.thinkwithgoogle.com/articles/shift-to-constant-connectivity.html | https://www.sociomantic.com/wp-content/uploads/2013/11/What-Consumers-Want-Infographic-Sociomantic-Labs-EN-global.png 01
Consumers want information that is relevant to their moment based on their:
Time Device
Location Interest
Intent
Tailoring ads at scale
01
01
Optimised Ad Rotation
Tailored messages
01
Optimised Ad Rotation
Creative success
Tailored messages
01
Optimised Ad Rotation
Different people & contexts ask for different ads
01
3.5Bsearches happen
on Google each day
Ad 3
Ad 2
Ad Group 1
Ad 1
Device
Time
Geo
Device
Time
Geo
Device
Time
Geo
Ad groups with 3 or more high-quality ads may receive up to 15% more clicks or conversions* vs. ad groups with only 1 or 2 ads.
01
Show the right message to the right person
Ad 3Ad 1 Ad 2
*Source: Google Internal Data. When you rotate your ads to optimize for clicks or conversions. This will vary by client, business type, among other factors, and Google cannot guarantee this or any uplift.
01
A practical example
*Source: Google Internal Data. When you rotate your ads to optimize for clicks or conversions. This will vary by client, business type, among other factors, and Google cannot guarantee this or any uplift.
Ad 3
(It’s probably too late)
Ad 1
Forgetful packing
incident?
Ad 2
Forgetful morning dresser?
Ad 3
Optimisation Ad Rotation
01
Optimise ad rotation to show your most relevant ad
*Source: Google Internal Data. This will vary by client and business type, among other factors and Google cannot guarantee this or any uplift.
+5%more clicks & conversions*
Improve quality & traffic
Both optimise settings positively impact
quality score & CTR
Ads using either optimise setting tend to accrue
more conversions
Increase conversions
Simplify campaign management
Let AdWords automatically serve the most relevant ad
with no additional effort required
01
Tailored messages
01
Dynamic Search Ads (old but gold)
01
of searches are unique
15% How can we optimise and plan for things that haven’t happened yet?
Use Dynamic Search Ads to capture relevant queries
01
01
Compared with their keyword performance, for the median advertiser, DSA targeting generates...
01
CPCs CPAs
35% lower
Clicks CTRs
...and on average 86% of Dynamic Search Ads traffic is incremental
30% lower
30% higher
30% more
Best practices reminder
01
1. Website structure
2. Exclusions
3. Monitor the machine!
01
Ad Customisers (new feature)
01
2011
01
Feed based creatives for everyone
Customise your ads at scale to every context: keyword, time, device & user location.
01
Ad customisers
01
Tailor your ad to the keyword, ad group or campaign
01
Ad Buy some dinosaur meat. example.com Starting at $49. Won’t spoil for another 325 years!
Ad Buy some drop bear meat. example.com Starting at $1.99. Won’t spoil for another 15 days!
Eat a dinosaur
Drop bears
Example
Ad Buy some MYSTICAL_CREATURE_NAME meat. example.com Starting at COST. Won’t spoil for another COUNTDOWN!
Feed example for keyword ad customisation
01
Note: You can also use “Target Keyword text” and “Target Keyword Match type”, instead of “Target Keyword”
Tailor your ad to the time of day/ device
Ad Got the Monday am commute blues? example.com Eat some unicorn and sparkle. Free shipping on orders above $65.
Ad Host a hoop snake BBQ example.com No plans for the weekend? BBQ some hoop snake! 20% off BBQ1.
Ad Chupacabra breakfast tacos? example.com You bet! 10% off fresh chupacabra meat. Just add guac & salsa.
Friday
Laptop
Monday
Mobile
Any day, AM
Any
01
Feed example for device / time ad customisation
01
01
Approach ResultsGoals
- Increased overall CTR by 32%
- Grew CTR in second-highest volume-producing ad group by 113%
- Successfully created and tested ads at the customer level
- Used Ad Customisers to create timely and accurate ads
- Tested ad copy with specific audience segments
- Engage customers with relevant, real-time messages throughout the purchase journey
- Efficiently update ad creative in different ad segments
01
Count down to an event
01
Ad Valentine’s day romantic gifts example.com/valentine Fun activities for couples on sale now! Hurry! Deal expires in COUNTDOWN.
Example
Ad Valentine’s day romantic gifts example.com/valentine Fun activities for couples on sale now! Hurry! Deal expires in 5 Days.
Feb 9
3:00pm
Feb 14
9:00am
Feb 9
5:40pm
Ad Valentine’s day romantic gifts example.com/valentine Fun activities for couples on sale now! Hurry! Deal expires in 9 Hours.
Ad Valentine’s day romantic gifts example.com/valentine Fun activities for couples on sale now! Hurry! Deal expires in 20 minutes.
Ad Buy some dinosaur meat. example.com Starting at $49. Won’t spoil for another 325 years!
Countdown widget in AdWords
01
01
Approach ResultsGoals- 8.7% increase in conversion rate at
the end of flash sale
- 3% increase in CTR on their ad text
- 8.3% increase in customer spending per site visit
- Implemented the countdown function with Google’s countdown widget
- Dynamically showed customers the days, hours, or minutes left until end of sale
- Drive quality traffic to website
- Create urgency to promote flash sale
- Encourage customers to convert quickly
Let’s look at data!
01
Let’s look at data!
01
01
Customise ads to the user location of interest
01
Location of interest detected Texas, ‘Merica
Ad Drink without a worry in DESTINATION example.com PRODUCT for DESTINATION people, starting at PRICE!
Customise ads to the user location of interest
01
Ad Drink without a worry in Texas example.com Drinking holsters for Texas people, starting at $10!
“drinking in Texas”
Ad Drink without a worry in California example.com Sunscreen flasks for California people, starting at $5!
“help me. just please help me.”
Location of interest detected Texas, ‘Merica
Location of interest detected California, USA
Ad Drink without a worry in DESTINATION example.com PRODUCT for DESTINATION people, starting at PRICE!
Feed example for geo ad customisation
01
Schedule your feed uploads
01
Tips / best practices
01
1. You cannot pause customisers But you can pause ads that use them or remove associated data
2. If you remove a data set You can’t “re-start” by uploading a new data set with the same name Better to edit your data to keep customisers running
3. Get creative!
BiddingCreatives0201
Bidding02
Automation opens up big possibilities
02Source: *BCG Study ‘Cutting Complexity, Adding Value’, 2013, link
Monday Tuesday Wednesday Thursday Friday
is strategic
20% 80% of time spent is dealing with manual, less strategic tasks
02
(not thatmany)
conversions
Millionsof variables
x =
The complexity of the task at hand…
Keywords Topics In-market Affinities
x All your clients!
TimeHour Day
Week Month
Weekday
LocationRadius
Post code DMA
Region Country
DeviceMobile
Desktop Tablet
AudiencePage visitors
Cart abandoners Loyal shoppers
Who’s your audience anyway?
02
Who’s your audience anyway?
02
AdWords Smart Bidding: Auction-powered technology
02Source: *BCG Study ‘Cutting Complexity, Adding Value’, 2013, link
Advanced machine learning that drives informed, accurate
bidding decisions
Unparalleled optimisation frequency and precision that adjusts bids for every auction
Rich set of auction-time signals used to capture contextual relevance for
every unique search
010101010101010101010101010101010101010101010101010101010
010101010101010101010101010101010101010
0101010101010101010101010101010101
010101010101010101010101010
101010101010101010101
010101010101010
101010101
010
02Source: *BCG Study ‘Cutting Complexity, Adding Value’, 2013, link
Advanced machine learning
Keyword
Many search queries
Across auctions and search contexts
Unique insight into every auction, computing data at the search query level
W
W MZ Q
Rich set of auction-time signals
02
Location
Remarketing list
Every user search is different and bids for each query should reflect the unique contextual signals present at auction-time.
Bid
Combinations between
2 or more signals
Search partner
Actual query
Language
AppOS Browser Ad creative
Noon EST
Smartphone
Signals available with bid adjustments
Exclusive signals for AdWords Smart Bidding
02
Example, on the keyword buy new toaster|
Example of signals our algorithm will optimise against:
Language settings
Location
Time Browser
Operating system
CVR
4.0%CVR
2.0%
vs.
Finding the right keyword bid is hard. Keyword bids are not right for all audiences.
Smart Bidding use case
Smart Bidding
02
Flexibility Efficiency Transparency Testing Attribution
01 02 03 04 05
02
Revenue
Conversions/sales
Website click
Visibility
Campaign Goal Recommended Strategy
Target outranking share
Maximise clicks
Target CPA / enhanced CPC (semi-auto)
Target ROASPowered by
AdWords Smart Bidding
1. Bidding strategies aligned to marketing goals
02
Revenue
Conversions/sales
Website click
Visibility
Campaign Goal Recommended Strategy
Target outranking share
Maximise clicks
Target CPA / enhanced CPC (semi-auto)
Target ROASPowered by
AdWords Smart Bidding
1. Bidding strategies aligned to marketing goals
02
2. Simulations with great data quality Leverage insights from millions of bids set every second across AdWords
Determine the most profitable CPA target and apply the change directly in the simulator tool
02
3. Unique transparencyMonitor a bid strategy performance and understand its current status
Understand the strategy status and potential limitations, then take action
Monitor the performance of flexible bid strategies key KPIs and watch how it improves over time
02
4. Seamless high end experiment platformRun well-executed A/B tests to test changes before rolling them out
Assess performance
Determine the portion of traffic that you want to go through the experiment
(360)
02
5. Go further: bid beyond the last clickPick up a non-last click attribution model
Last click First click Linear Time decayPosition-based
Rules-basedmodels
Data-drivenmodel
great tech gifts highly rated tablets nexus 9 tablet
highly rated tablets nexus 9 tablet
2.73%Conversion Rate
2.41%Conversion Rate
= 0.32%
02
IAAI
Thank you
Q&A
Break
#Masterclass2017
Founding and Senior Partner Cardinal Path
Dave Booth
Measurement & Attribution
Do you have a question about today’s content? Participate in the live Q&A using Sli.do
Step 1: Visit https://www.sli.do/
Step 2: Enter event code #Masterclass17
Step 3: Submit your questions / upvote existing ones
Three questions will be answered at the end of each presentation
AttributionMeasurement0201
Measurement01
01
01
On sale!Only 45 shillingsNow through Friday’s execution
iAnvil 8
Technology has changed everything. People now have a huge selection of devices, channels, and content to choose from, across multiple platforms.
This creates a lot of fragmented data which can be hard to track and action for advertisers
DisplayOrganic Search BrandDisplay network
01
01
01
Legacy, linear paths to purchase were relatively simple to measure.
Today’s paths are not.
New consumer behaviour broke measurement
01
Rethink measurement
01
Rethink measurement
Intra channel Cross channel
01
90% of people switch between screens to complete tasks 30% of all customer journeys
involve more than one channel of interaction
Source: Google/Purchased Digital Diary: How Consumers Solve Their Needs in the Moment, May 2016 01
Source: Google/Purchased Digital Diary: How Consumers Solve Their Needs in the Moment, May 2016
45%increase in local shopping queries
01
01
01
How much data are you trying to manage?
01
AttributionMeasurement0201
Attribution02
02
Let’s play a game!
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
Identify objectives
Day 1 Day 2 Day 3
02
A customer’s journey
Day 1 Day 2 Day 3
02
A customer’s journey
Email Email Desktop Desktop
Mobile web In-store visitMobile app
02
Day 1 Day 2 Day 3
A customer’s journey
Email Email Desktop Desktop
Mobile web In-store visitMobile app
User ID, CD Login cookie
Login cookie Login cookie CRM ID
Login deviceIDLogin cookie
Login cookieLogin cookie
User ID, CD
02
Day 1 Day 2 Day 3
A customer’s journey
Email Email Desktop Desktop
Mobile Web In-store visitMobile App
User ID, CD Login cookie
Login cookie Login cookie CRM ID
Login deviceIDLogin cookie
Login cookieLogin cookie
User ID, CD
02
02
Different people
Different needs
Different stages
Different experiencesacross
at
with
02
Different people
Different needs
Different stages
Different experiencesacross
at
with
Segments
Business goals
Customer journey
Channels & devices
02
Metrics & dimensions KPI’s
Business goals Different needs
Customer journey Different stages
Segments Different people
Chan
nels
& d
evic
es
Diffe
rent
exp
erie
nces
02
Business goals Different needs
Customer journey Different stages
Segments Different people
Chan
nels
& d
evic
es
Diffe
rent
exp
erie
nces Segment:
Journey: Goal:
Channel/device:
Existing customer Retention/growth Easily find what they need Mobile website
02
Business goal: Get visitors to content/features quickly and efficiently
Customer journey
Chan
nels
/dev
ices
W
ebsi
te fr
om m
obile
dev
ice
Segm
ent
Exis
ting
cust
omer
Attract Engage Convert Retain/grow Advocate
Pageviews per visit Pages/Session, segment = mobile Google Analytics
Time on site Avg. Session Duration, segment = mobile Google Analytics
Bounce rate Bounce rate, segment = mobile Google Analytics
Site search usage Sessions with search, segment = mobile Google Analytics
Unsuccessful search rate % Search exits, segment = mobile Google Analytics
Feature completion (various) (Configured event/goal count/conversion rate) segment = mobile Google Analytics
Social activity (Tweets/Posts, negative sentiment (Social monitoring) via BigQuery, ML API
Inbound customer service call (Call tracking click to call event)(Inbound calls/sessions) segment = mobile
Google Analytics 360, (Call tracking solution)
Content engagement score (Custom calculated metric) applied to (key pages), segment = mobile Google Analytics 360, CMS via BigQuery
Content velocity (Custom calculated metric) applied to (key pages), segment = mobile Google Analytics 360
KPIs Metric(s) required Data source
02
Visit 1:
Visit 2:
Engagement Score / Visit =
Custom calculated metricsScroll 25% Scroll 3
50% Scroll 4
75% Scroll 5
100% Scroll 6
Click Page load / content interaction 1
Tool start 10
Tool complete 10
Login 10
Special offer signup 15
Branch search 5
Branch search exit
Download iOS / Android app download 2
PDF content download 1
Whitepaper download 1
Social Share 1
Post 2
Chat 1
Email 1
Comment 1
Video Video start
Video 25%
Video 50%
Video 75%
Video completion
Category Component Weight
2 + 15 2 2 15 20 56+ + + + =
On Page Interaction
Scroll 50% On Page Interaction
On Page Interaction
Scroll 50% Video Start
Scroll 50%On Page
Interaction Download Event
On Page Interaction
Scroll 100% Video Start Video Start 50%
15 + 2 20 2 25 20 99+ + + + =15+
56 99+77.5=
2 Visits
02
Business goals Different needs
Customer journey Different stages
Segments Different people
Chan
nels
& d
evic
es
Diffe
rent
exp
erie
nces
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
Identify objectives
02
Implementation steps
Knowledge transfer
Production launch
QA / Tag validationConfigurationImplementationSolution design
documentationBusiness
requirements/ KPI framework
02
Implement against the framework
Pay special attention to: 1. Conversion actions 2. Integrations 3. Campaign tracking
Business requirements/ KPI
frameworkSolution design documentation Implementation
02
Don’t forget your integrations!
02
Don’t forget your integrations!Enable a holistic view: - Single ID across properties - Connected to sales data (incl. offline) - Analysis done with on/offline attributes
EDW
CRMSingleID
WA
Activation
Analysis across the 360 degree viewAllows us to: - Create segments from offline / additional data -Analyse against offline / additional conversion events -Leverage additional attributes across data activation platforms
02
Analyse campaign impact across full funnel
02
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
Identify objectives
02
Default: last-touch attribution
02
02
Default: last-touch attribution
C1 C2 C3 C4 C5
02
Other common models
C C2 C C4 C5
C C2 C C4 C5
C C2 C C4 C5
C C2 C C4 C5
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF)
model explorer, custom models
Identify objectives
02
Attributing value with additional models
02
Attributing value with additional models
02
Attributing value with additional models
02
Attributing value with additional models
02
Attributing value with additional models
02
Attributing value with additional models
02
Attributing value with additional models
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
Identify objectives
02
Algorithmic/modeled/data-driven attribution
02
Algorithmic/modeled/data-driven attribution
02
Algorithmic/modeled/data-driven attribution
02
Algorithmic/modeled/data-driven attribution
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking
Identify objectives
Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
02
Digital multi-touch attribution (MTA)
Cookie level
Website data
Digital media plans
Data partnerships
1st party data
KPI(s) Customer level
02
Digital multi-touch attribution (MTA)
Measure the lift when a channel is present on the path to purchase
Your baseline level of measurement is always a user and their path to purchase
3.0%
2.8%
2.5%
02
Google Attribution & Attribution 360
02
One solution, available in two tiers
Common cross device & data-driven methodology
Google Attribution 360 Full, enterprise-level cross-channel attribution
Custom dimensions & metrics for flexibility
Optimisation & TV modeling
Google Attribution Self-service with simplified options & controls
Makes it easy to get started with cross-
channel, multi-channel attribution
02
Foundations of Google’s attribution solutions
Insights & actionScience & analyticsData collection & management
Considers all tracked touchpoints
Google device graph
Integrations with buying tools
TV attribution
Predictive optimisation
Reporting & insights
Data exportsand API
Programmatic connectors
02Source: © Google Inc. 2016. All rights reserved.
Broad reach across devices
The deterministic cross-device graph is powered by Google’s largest web properties, may with >1bn 30-day-active logged in users.
Cross-device attribution, powered by Google’s device graph
Consumer friendly approach
By allowing end-user opt-out our solutions is extremely privacy friendly, and protects the end user.
More accurate measurement
Our algorithm stitches the path-fragments into complete per-user paths, enabling the model to understand the full customer journey.
02
Google Attribution & Attribution 360
02
75% of users switch devices between tasks
DDA has already driven better performance for thousands of advertisers
02
Data-driven attribution (DDA) drives more conversions at the same cost-per-conversion
Moving beyond last-click on Search alone delivers 5% more conversions on average, at a similar cost-per-conversion.
02
02
02
Attribution 360: television
TV airings data
Digital web / conversion data
Google Search data
Attr
ibut
ion
360
02
Attribution 360: timeline
A360 product phase Closed alpha Beta General availability
2018+2017
General availability Through 1H 2018
02
Prepare for Attribution & Attribution 360
Google Analytics - Enable Advertising Reporting features - Set up Goals and Ecommerce! - Break down channel groupings - Make sure integrations are in place - Clean up your campaign (UTM) tagging - Create separate, dedicated View (no User ID, do NOT strip URL params)
Google AdWords - Ensure Auto-tagging is on - Ensure AdWords is linked for cost data import - Review naming conventions / consistency - Link AdWords with Analytics Views
DoubleClick (DCM, DS) - Ensure Auto-tagging is on - Add display activity service OR ensure impression & click tracking is in place - If using Floodlight to track conversions, ensure configured & clean - Ensure accurate media cost is there for all campaigns - Review naming conventions / consistency - Link DoubleClick with Analytics Views
02
Prepare for Attribution & Attribution 360
02
A path to attributionDigital multi-touch attribution (MTA) solution
Algorithmic/data-driven approaches
Exploring additional models
Standard reporting
Implement tracking
Identify objectives
Conversions integrations campaigns
Typically “last click”
Econometric (MMM/ESM)
Econometric/model based (response curves,
channel contribution, halo effects, etc.)
Tag, cookie, device-graph based
Data driven attribution
(DDA)
Workbench
Marketing channels, campaign stacking
Multi-channel funnels (MCF) model explorer, custom models
02
Econometric approaches - MMMAnnual contribution to sales ROI by media channel
Campaign direct and halo effects Media response curves
CY 2013 CY 2014
02
Econometric approaches - ESM
02
Econometric approaches - ESM
Thank you
Q&A
Time to recognise your partnership
Head of Performance Agencies Google AU/NZ
Martin Curtis
Agency of the Future
Quick exercise
Your name
What you’re hoping to get out of today’s session
One fun fact that no one would know
Your role
Your company
“The next big step will be for the very concept of the device to fade away. Over time, the computer will be an intelligent assistant helping you through your day.
We will move from mobile first to an AI first world.
- Sundar Pichai, CEO, Google
Google has a great track record of predicting the future
01Total Digital Immersion
02AI-First World
01Total Digital Immersion
Digital = EverythingMove away from being the marketing
specialist to the marketing expert
01
01
CMO’s grappling with even more complexity outside
1965 1970 1975 1980 1985 1990 1995 2000 2005 2010 2015
VCR
TV, radio, OOH, newspaper, magazine Cable AOL
The period of unbundling of media agencies from
creative agencies
DBS satellite Yahoo
DVR
Broadband
HD DVD & Blu-Ray
Satellite radio
HDTV
Time-shifted viewing
7th gen game console
YouTube
Netflix streaming
Hulu+
Smart TV
Tablet
Streaming radio
8th gen game console
Chromecast
Amazon Prime instant video
Roku
Smartphone
Apple TV
VOD
Snapchat
People just expect faster, relevant and frictionless experiences, whenever and wherever.
01
26
Source: A Guide to the Internet of Things, IDC, Intel, United Nations, 2016. 01
We get it, it’s complicated
01
But only 17% of agencies and companies have moved
off last click attribution
01
Where we should be as an industry
Where we are
Advanced attribution strategies
Do you want to move off last click?
Last click First click Linear
Time decayPosition-based
Data management platform integrations
01
And it’s only getting more complex
01
The agencies of the future are moving now to measure and
manage the entire digital journey
01
01Total Digital Immersion
02AI-First World
02AI-First World
A major milestone in Artificial Intelligence
02
Programming Learning
02
01
We need AI to help us manage this complex journey
of your time will be saved to be reinvested back into your business & yourself
50%
02
This is your opportunity to move away from optimisers
back to creative thinkers
02
AI is exponential in nature so you will get left behind
Don’t “wait & see”
02
Inflection
02
Day 1 of Adweek NYC
We know change is coming
02
- Is the agency of the future still an agency
- Leadership and the agency of the future
- Agency of the future, becoming the CMOs secret weapon
- Creativity to the power of consulting
- Advertising needs a rebrand
- Yes you should start that new agency you have always dreamed of
- Self-disrupt: Creating the next agency model
02
The largest digital agency is now
Source: Ad Age Agency Report 2016
US R
even
ue
$0
$375,000,000
$750,000,000
$1,125,000,000
$1,500,000,000
2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015
So what can you do?
02
What would it look like?
If you were to start your agency today,
from scratch
If you were to develop your skill sets, from scratch
What would they look like?
02
Build capabilities to solve wicked
business problems
02
Build skills to solve wicked business
problems
Audience data
Machine learning
Creative thinking & strategy
02
+ +
02
Develop data capabilities
Embrace Machine Learning
Upskill talent
02
Develop data capabilities
Measurement, attribution, data and feeds
Develop measurement & attribution
Develop data & feed management
capabilities
02
Where do you start?
02
Business impact
Diversification opportunity
Improved client results
New revenue stream
02
Google solutionsAdvancedBasic Intermediate
Data driven attribution
Non-last click
Feed & data integration
Cross channel attribution Post impression attribution
Advanced attribution
Data management solution
Coming soon
02
Embrace Machine Learning
Automation and Machine Learning
Automate everything
02
Where do you start?
02
Business impact
Saved time Improved margins from efficiencies
Time can be invested into creative thinking and
strategy to grow revenue
02
Google solutionsAdvancedBasic Intermediate
Auto Ad rotation
Auto bidding
Dynamic Search Ads
IF Function
Automated Feeds
Automated Reporting
Auto bidding/creative
Audience Integration
Automate cross channel
02
Upskill talentCreative thinking and
client service
Who owns creativity & strategy?
It needs to be everyone’s responsibility
WALDO?
TOM MATT MELISSA WALDO
8 14 22
?
= = = =
TOM MATT MELISSA W A L D O
8 14 22 13
= = = =
02
Change your environment
02
Keep track of micro creativity
02
The 10% Rule
Dedicate 10% of client’s budget to innovation
02
Where do you start?
Retain the best talent
Hire great people
Develop your people; creative thinking and
strategy skills
02
What can you do?
Mission, transparency, voice
Think broad & know what you want
Focus on continued learning
02
Google Partners initiativesProductDiversity Strategy
Lead by WomenWill Masterclass
Specialist Challenge
Academy Bootcamp (in-person)
Academy for Ads (on-demand)
Business Coaching
Sales Masterclass
Partners Connect (co-pitch events)
02
What the agency of the future looks like
Step 1 Step 2 Step 3 Step 4
Develop creative thinking & strategy
expertise
Automate everything
Build measurement, data & feed capabilities
Diversify capabilities - video, display, feed
management, programmatic
Step 5
Consult on wicked business
problems
How else can you prepare for these
changes?
02
02
Embrace change Be curious
Live life as a student
Thank you
Q&A
Recap
Upcoming initiatives you don’t want to miss
Academy Bootcamp: Mobile Sites & Analytics
Specialist Challenge 2018
M-Site SydneyTuesday 5 December
Analytics SydneyWednesday 6 December
Academy
Register at g.co/AcademyAUNZ
Do you want to hear from us?
And the #Masterclass2017 best photo winner is…
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Thank you