March 2015 презентация

Содержание

March 2015 © Datalicious Pty Ltd WELCOME! Christian Bartens Founder & CEO Datalicious

Слайд 1March 2015
© Datalicious Pty Ltd


Слайд 2March 2015
© Datalicious Pty Ltd
WELCOME!

Christian Bartens
Founder & CEO
Datalicious


Слайд 3> Using data to fatten the funnel
March 2015
© Datalicious Pty Ltd
Media

Attribution & Modeling Maximise reach, awareness & increase ROI

Testing & Optimisation Remove barriers, drive sales

Boosting ROMI

Targeting & Merchandising Improve engagement, boost loyalty

“Turning data into actionable insights to widen the conversion funnel”


Слайд 4> Wide range of data services





Data
Platforms

Data collection and processing

Adobe, Google Analytics,

etc

Web and mobile analytics

Tag-less online data capture

Retail and call center analytics

Big data & data warehousing

Single customer view

Insights
Analytics

Data mining and modelling

Tableau, Splunk, SPSS, R, etc
Customised dashboards

Media attribution analysis

Marketing mix modelling

Social media monitoring

Customer segmentation

Action
Campaigns

Data usage and application

SiteCore, ExactTarget, etc

Targeting and merchandising

Marketing automation

CRM strategy and execution

Data driven websites

Testing programs

March 2015

© Datalicious Pty Ltd


Слайд 5 > Growing global presence
March 2015
© Datalicious Pty Ltd
v



Manila
Sydney

HQ

Auckland

San Diego

Munich








London

New York

Singapore


Melbourne

Mumbai

Hong Kong


Слайд 6> Google Analytics Premium (GAP)
Full-service GAP offering including value-added services to

maximise return on platform investment for all clients
Clients can choose any 2 of the following Datalicious value-added service modules at no extra cost as part of their GAP deal:
Module 1: Weekly tech & tag management support
Module 2: Monthly analytics & reporting support
Module 3: Quarterly testing & optimisation support
Module 4: Quarterly media attribution support
Module 5: Quarterly best practice review
Module 6: Annual data strategy development

March 2015

© Datalicious Pty Ltd


Слайд 7> Datalicious product development
March 2015
© Datalicious Pty Ltd


Segment
Engage
Analyse
Measure
“Collecting, analysing and actioning

data”

dataexchange


Слайд 8> Clients across all industries










March 2015
© Datalicious Pty Ltd


Слайд 9© Datalicious Pty Ltd
March 2015
John Wanamaker
"Half the money I spend
on

advertising is wasted;
the trouble is I don't know which half."

Слайд 10Direct mail, email, etc
Facebook Twitter, etc
> Channels influence each other
March 2015
© Datalicious

Pty Ltd





POS kiosks, loyalty cards, etc







CRM program

Home pages, portals, etc

YouTube, blog, etc

Paid search

Organic search





Landing pages, offers, etc

PR, WOM, events, etc

TV, print, radio, etc

= Paid media


= Viral elements



















Website, call center, retail


= Sales channels

Display ads, affiliates, etc







Слайд 11> Media attribution approaches
March 2015
© Datalicious Pty Ltd
Success $100
Success $100
Display

Affiliate
Search $100
Success
$100
Last channel gets

all credit

First channel gets all credit

All channels get equal credit





Success $100

All channels get custom credit


Display $100


Affiliate

Search


Display $33


Affiliate $33

Search $33


Display $15


Affiliate $35

Search $50



Слайд 12
> The ideal media dashboard
March 2015
© Datalicious Pty Ltd


Слайд 13> ROMI as competitive advantage
March 2015
© Datalicious Pty Ltd

74% of marketers

do not engage in any form of media attribution aside from the last click leaving 26% of marketers with a serious competitive advantage as their media investment is likely to generate a much higher ROMI.





Слайд 14© Datalicious Pty Ltd
March 2015
Part 1
How to track the path to

purchase

Слайд 15> Duplication across channels
March 2015
© Datalicious Pty Ltd
Display ads
Email blasts
Paid

search

Organic search

$

Bid mgmt

Ad server

Email platform

Google Analytics


$


$


$








Слайд 16> Duplication across channels
March 2015
© Datalicious Pty Ltd
Display impression
Paid search
$
Ad

Server

Bid mgmt.

Web analytics

Display click

Ad server cookie

Organic search

Analytics cookie

Analytics cookie

Analytics cookie





Bid mgmt. cookie

Ad server cookie


Слайд 17Central analytics platform
$
$
$
> De-duplication across channels
March 2015
© Datalicious Pty Ltd
Display ads
Email

blasts

Paid search

Organic search

$











Слайд 18Closer

Paid search
Display ad views
TV/print responses
> Full purchase path tracking
March 2015
© Datalicious

Pty Ltd


Influencer

Influencer



$



Display ad clicks

Online sales



Affiliate clicks

Social referrals


Offline sales



Organic search

Social buzz

Retail visits



Lifetime profit


Organic search


Emails, direct mail


Direct site visits


Introducer


Слайд 19> Ad clicks inadequate measure
March 2015
© Datalicious Pty Ltd
Only a small

minority of people actually click on ads, the majority merely processes them (if at all) like any other advertising without an immediate response so advertisers cannot rely on clicks as the sole success measure but should instead focus on impressions delivered





Слайд 20Confirmation email, login
> Offline sales driven by online
March 2015
© Datalicious Pty

Ltd

Website research

Phone sales

Retail sales

Online sales

Cookie

Advertising campaign

Fulfilment, CRM, etc

Online sales confirmation

Virtual sales confirmation


Слайд 21> Search call to action for offline
March 2015
© Datalicious Pty

Ltd

Слайд 22> Search call to action for TV
March 2015
© Datalicious Pty Ltd
Consumers

are now experts at multi-tasking, especially while watching TV. They are constantly online and ready to search so a unique search call to action is ideal to track responses from TV ads. In addition, consumers also remember search terms better than phone numbers or vanity URLs which increases overall response rates and it is easier to control the user experience from a search response (i.e. what landing page to send people to).

Слайд 23March 2015
© Datalicious Pty Ltd


Слайд 24March 2015
© Datalicious Pty Ltd

What promoted your visit today?
Recent branch visit
Saw

an ad on television
Saw an ad in the newspaper
Recommendation from family/friends
[…]

Слайд 25> Website entry survey
March 2015
© Datalicious Pty Ltd
De-duped Campaign Report
}
Greatest

Influencer on Branded Search / STS

Conversions attributed to search terms that contain brand keywords and direct website visits are most likely not the originating channel that generated the awareness and as such conversion credits should be re-allocated.


Слайд 26> Website entry survey example
March 2015
© Datalicious Pty Ltd
In this retail

example, the exposure to retail display ads was the biggest website traffic driver for direct visits as well as visits originating from search terms that included branded keywords – before TV, word of mouth and print ads.

Слайд 27> Purchase path for each cookie
March 2015
© Datalicious Pty Ltd


Слайд 28Device path 2
Device path 1+2
> Combining purchase paths
March 2015
© Datalicious Pty

Ltd


Touch point 1



Sale


Touch point 1

Touch point 2

Touch point 3



Sale


Device path 1

Touch point 2

Touch point 2


Touch point 1



ID point


ID point



Слайд 29© Datalicious Pty Ltd
March 2015
Part 2
Developing the media attribution model


Слайд 30> Media attribution approaches
March 2015
© Datalicious Pty Ltd
Success $100
Success $100
Display

Affiliate
Search $100
Success
$100
Last channel gets

all credit

First channel gets all credit

All channels get equal credit





Success $100

All channels get custom credit


Display $100


Affiliate

Search


Display $33


Affiliate $33

Search $33


Display $15


Affiliate $35

Search $50



Слайд 31> First and last click attribution
March 2015
© Datalicious Pty Ltd
Chart

shows percentage of channel touch points that lead to a conversion.

Neither first nor last-click measurement would provide true picture

Paid/Organic Search

Emails/Shopping Engines


Слайд 32> Standard attribution models
The First/Last Interaction model plus …
The Linear model

might be used if your campaigns are designed to maintain awareness with the customer throughout the entire sales cycle.
The Position Based model can be used to adjust credit for different parts of the customer journey, such as early interactions that create awareness and late interactions that close sales.
The Time Decay model assigns the most credit to touch points that occurred nearest to the time of conversion. It can be useful for campaigns with short sales cycles, such as promotions.

March 2015

© Datalicious Pty Ltd


Слайд 33> Media attribution models
March 2015
© Datalicious Pty Ltd
$100

Even/linear attribution

Time decay attribution
Custom

attribution

10%


15%


25%


50%






Display impression

Display impression

Display click

Search click

10%


10%

50%


30%


25%


25%

25%


25%



Слайд 3410%
30%
10%
50%
10%
50%
30%
10%
> Custom (weighted) attribution
March 2015
© Datalicious Pty Ltd
$100

Weighted attribution

$100
Weighted attribution





Display impression
Display

impression

Display click

Search click










Display impression

Search click

Display impression

Display click


Слайд 35Touch point 1
> Analytics to pick the best model
March 2015
© Datalicious

Pty Ltd


Touch point 2





Touch point 3


Touch point N




Closer



Influencer

Influencer



$


Introducer

Touch point 1


Touch point 2

Touch point 3


Touch point N


Touch point 1


Touch point 2

Touch point 3


Touch point N






Слайд 36> Custom models most effective
March 2015
© Datalicious Pty Ltd

56% of marketers

consider a unique or custom (weighted) media attribution approach that does not use a standard out-of-the-box methodology as most effective.




Слайд 37March 2015
© Datalicious Pty Ltd


Слайд 38March 2015
© Datalicious Pty Ltd

What promoted your visit today?
Recent branch visit
Saw

an ad on television
Saw an ad in the newspaper
Recommendation from family/friends
[…]

Слайд 39Individual path 1
Individual path 1
Individual path N
> Individual purchase path tracking
March

2015

© Datalicious Pty Ltd


Touch point 1

Touch point 2



Individual transaction



Touch point 1

Individual transaction



Touch point 2



Touch point 1

Touch point 2

Touch point N



Individual transaction



Touch point N


Touch point N

Individual path 1

Touch point N


Слайд 40> Econometric media mix modelling
March 2015
© Datalicious Pty Ltd
Total revenue
Total revenue
Total

revenue

Total revenue

Spend channel 1

Spend channel 1

Spend channel 1

Totals week N

Spend channel N

Spend channel N

Total revenue

Totals week 1

Totals week 2

Totals week 3

Totals week 4

Spend channel 2

Spend channel 2

Spend channel 2


Слайд 41> Pathing & modelling combined
March 2015
© Datalicious Pty Ltd

Touch point 1
Touch

point 2



Individual transaction


Spend channel 2

Spend channel N

Spend channel 1

Individual path 1

Touch point N

Influencing factors
Offline media spend
Competitive activity
Geo-demographics
Transaction history
Client satisfaction
Social sentiment
Interest rates
Weather
Pricing

Influence factor N

Influence factor N

Influence factor N




Слайд 42March 2015
© Datalicious Pty Ltd


Слайд 43© Datalicious Pty Ltd
March 2015
Part 3
Case studies and
Media attribution study


Слайд 44> Media attribution approaches
March 2015
© Datalicious Pty Ltd
Display

Affiliate
Search $100
Success
$100
Last channel gets

all credit



Success $100

All channels get custom credit


Display $15


Affiliate $35

Search $50


vs.


Слайд 45> Media attribution study
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 46> Display being undervalued
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 47> Display influencing search
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 48> Unique display audience
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 49> Display influencing conversions
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 50> Media mix imbalance
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 51> Media mix imbalance
March 2015
© Datalicious Pty Ltd
data.li/mastudy


Слайд 52> Media attribution
March 2015
© Datalicious

Pty Ltd

CASE STUDY

Vodafone Data Driven Attribution (DDA) in Google Analytics Premium (GAP) designed to optimise the overall media mix across paid and organic media channels resulting in a significant project ROI.


Слайд 53> Media

attribution

March 2015

© Datalicious Pty Ltd

CASE STUDY

Suncorp purchase path tracking and media attribution modelling in order to optimise the overall Suncorp insurance budget mix across paid and earned media resulting in an overall project ROI of 2,078%.


Слайд 54> Media

attribution

March 2015

© Datalicious Pty Ltd

CASE STUDY

Telstra purchase path tracking and media attribution including social designed to optimise the overall Telstra budget mix across paid and earned media resulting in an overall project ROI of 403%.



Слайд 55> Media

attribution

March 2015

© Datalicious Pty Ltd

CASE STUDY

Telstra purchase path tracking and media attribution including social designed to optimise the overall Telstra budget mix across paid and earned media resulting in an overall project ROI of 403%.


"[...] Datalicious are helping us to move from a last click measurement model to a more accurate media attribution approach. [...] had to overcome some unique challenges but the Datalicious' expertise helped us through those. [...] potential to significantly change our media planning in order to boost performance across channels. Highly recommended."


Слайд 56> Media

attribution

March 2015

© Datalicious Pty Ltd

CASE STUDY

Medibank Data Driven Attribution (DDA) in Google Analytics Premium (GAP) designed to optimise the overall media mix across paid and organic media channels resulting in a significant project ROI.


Слайд 57> Media

attribution

March 2015

© Datalicious Pty Ltd

CASE STUDY

Medibank Data Driven Attribution (DDA) in Google Analytics Premium (GAP) designed to optimise the overall media mix across paid and organic media channels resulting in a significant project ROI.


“The decision to partner with Datalicious for the GAP implementation was based on the depth of their prior web analytics and media attribution experience […]. We feel that insights delivered by an independent 3rd party will provide a more lively discussion and thus better outcome, especially in areas of […] media optimisation.”


Слайд 58
March 2015
© Datalicious Pty Ltd
SMART
DATA DRIVEN
MARKETING
cbartens@datalicious.com


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