SlideShare una empresa de Scribd logo
1 de 46
Descargar para leer sin conexión
Click to edit Master
subtitle style
How to Achieve Omnichannel
Personalisation!
Simon Taylor
Managing Director, Sales Engineering EMEA - Tealium

Tim Sumner
Senior Pre-Sales Consultant - Certona
© 2015 Tealium Inc. All rights reserved. |
adidas
Agenda!

!  Best practises in Tag Management - How to streamline data collection for
enhanced personalisation 
!  Improving deployment timeframes for integrating Certona 
!  Personalisation best-practice strategies 
!  Shared experiences in managing omni-channel individualisation 
!  Identifying key metrics for reporting on demand generation



2
© 2015 Tealium Inc. All rights reserved. |
adidas
About Tealium!

!  Founded 2008
!  600 Plus Customers 200 in EMEA
!  330 plus employees and growing
!  Market Leader In The Enterprise Tag/Data Management Space
!  Only Truly Technology Agnostic Vendor Playing In This Space
!  Offices in US, UK, Germany, France, Spain, Japan & Australia
!  Growing At Over 100% Year On Year
!  Well Funded By Proven VC’s Including Battery Ventures and Tanaya Capitol etc.



 3
© 2015 Tealium Inc. All rights reserved. |
adidas
of the same marketers say without
integrated data, they cannot effectively
manage the customer journey
80%
https://econsultancy.com/reports/the-roi-of-tag-management
4
53%
of marketers say that resource
constraints slow or stop data
integration programs
The Holy Grail of Digital Marketing!
4
Actionable
Real-Time Data
Flawless Cross-
Device Experiences
Omnichannel
Delivery
Unified
Marketing
Complete Data
Ownership
© 2015 Tealium Inc. All rights reserved. |
adidas
http://www.lumapartners.com/lumascapes/marketing-technology-lumascape/
Marketing Technology Stack!
5
4 Weeks to 

Deploy 

a Tag
+2,000
MARKETING 

TECHNOLOGIES
8
Hours in a Work 

Day
© 2015 Tealium Inc. All rights reserved. |
adidas
Without Tealium - Chaos!
6
Experience Layer
Application Layer
No Data Layer = CHAOS
© 2015 Tealium Inc. All rights reserved. |
adidas
With Tealium – Comes Order!
7
Unification, Security, Control, 
Privacy, Enrichment & Ownership
Experience Layer
Application Layer
Data Layer = Order
© 2015 Tealium Inc. All rights reserved. |
adidas 8
With Tag Management!
A few lines of code are added to each page. Anyone in your
organisation can manage all your tags from a simple and centralised
web interface. Now tags load from the cloud and only load when
needed. 
Without Tag Management!
Each tag must be hand coded into each page of the site. Adding new
tags and removing old tags can be resource intensive and tags can
slow your site down.
© 2015 Tealium Inc. All rights reserved. |
adidas
Define—Your one true definition of
data across all your digital assets
and customer interactions
Control—Your ability to
standardize and control data
distribution to vendors


Enrich—Your ability to enrich data
to include visitor attributes and
insights across technology
platforms
The Data Layer is Core to The Holy Grail!
9
© 2015 Tealium Inc. All rights reserved. |
adidas
850+ 
Turnkey vendor
integrations in our
marketplace
Small Sample of Our Technology Partner Ecosystem
Omnivendor Platform!
10
© 2015 Tealium Inc. All rights reserved. |
adidas 11
Source: www.ghostery.com
Global - Enterprise Tag Management Adoption!
© 2015 Tealium Inc. All rights reserved. |
adidas
So, Build Your Own Marketing Cloud™!
12
Advertising
 -
 Advertising
 -
 Advertising
 Advertising
-
 -
 -
 -
 -
 Affiliate Marketing
Analytics
 Analytics
 -
 Analytics
 Analytics
 Analytics
A/B Testing
 -
 -
 -
 -
 A/B Testing
-
 -
 -
 -
 -
 CERTONA
-
 -
 CRM
 CRM
 CRM
 CRM
Email Marketing
 Email Marketing
 Email Marketing
 Email Marketing
 -
 Email Marketing
-
 MA
 MA
 MA
 MA
 MA
-
 -
 -
 -
 -
 Automation
-
 -
 -
 -
 -
 Retargeting
Social
 -
 Social
 -
 -
 Social
Tealium iQ & AudienceStream
1000s of
best-of-breed
point solutions
© 2015 Tealium Inc. All rights reserved. |
adidas
Visitor Enrichment
Omnichannel
SegmentationReal-time
APIs
EventStore EventDB AudienceDB
TM
Tealium iQ
Data Layer
Creation and
Unification
Tag Management 750+
Tags Supported
Experience Layer
Data Layer
Application Layer
Tealium AudienceStreamTM
Tealium
Plugging Into the Tealium Platform!
13
Omnichannel and !
Cross-device!
© 2015 Tealium Inc. All rights reserved. |
adidas 14
AudienceStream Dynamic Personalization 
The result is a personalized customer journey across all of your
engagement channels. 
Traditional Action!
Traditional segmentation is rigid and places people in simplistic
groups. Simplistic grouping leads to clumsy marketing
interactions.
Email!
CRM!
Display ad!
Content!
Live chat!
Mobile!
Group 1! Group 2! Group 3!
Generic!
Email!
Generic!
Display ad!
Generic!
Content!
© 2015 Tealium Inc. All rights reserved. |
adidas 15
Fragmented Profiles! Cross-device Profiles!
© 2015 Tealium Inc. All rights reserved. |
adidas
Cross Device Stitching!
16
1. Visit a website on my tablet
2. Search for a “shirt”
3. Share the “shirt” link with my 

laptop
4. Click on link from my laptop
5. Purchase the shirt
6. Open the emailed receipt on my 

phone
© 2015 Tealium Inc. All rights reserved. |
adidas
Traditional Data Supply Chain!
17
1 2 3 4 5 6
Customer
Interactions
Technology
Vendors
Visitor /
Customer Data
Data Preparation Storage BI / Mining
Live visitor
interaction with
dynamic content
and hardcoded tags
Application layer
fueled by 1000+
Martech vendors
Data reclamation
process pulling
together data from
dozens of vendors
Data processing
to insert into
data warehouse
Enterprise data
warehouse
Analytics,
prediction, and
segmentation
Custom interaction or
personalization services
ǡ
Slow 24hrs (min)
Omnichannel
and
Multidevice
© 2015 Tealium Inc. All rights reserved. |
adidas
Modern Data Supply Chain!
1 2 3 4 5 6
Customer
Interactions
Technology
Vendors
Visitor /
Customer Data
Data Preparation Storage BI / Mining
Live visitor
interaction with
dynamic content
and unified data
and governance
Application layer
fueled by 1000+
Martech vendors
Live actionable
data provided via
APIs, tags, or feeds
Data processing
to insert into
data warehouse
Enterprise data
warehouse
Analytics,
prediction, and
segmentation
Custom interaction or
personalization services
ǡ
FAST < 1 sec 5 min
Omnichannel
and
Multidevice
18
© 2015 Tealium Inc. All rights reserved. |
adidas 19
© 2015 Tealium Inc. All rights reserved. |
adidas 20
Unified Marketing 
is Not a Myth
Established Experience
$4.2BClient Revenue
in 2014
in Real-Time
Generating
11YEARS
in Marketplace
Personalized Experiences
served per month
BILLION
30
50Countries*
500+eCommerce*Sites*
Across
CUSTOMER ENGAGEMENT OBJECTIVES
Certona’s proprietary real-time predictive analytics engine is a 100% cloud-based SaaS solution
that captures, analyzes, recommends and delivers relevant content for brands.
Personalized Experience Management Platform
1:1 REAL-TIME TARGETING
CHANNELSASSETS
Certona® Predictive Cloud™
The Customer Journey Who Am I?
Meet Jill
Female
Mid 30’s
Lives in London
Works in London
Sophisticated & Fashionable,
into Health and Fitness.
Training for her first amateur
tennis tournament. She sees
one of her friends posting a
Lacoste tennis top that would
be perfect!
It’s 6:30 am.
Jill sits down for breakfast.
She pulls out her laptop and
searches for Lacoste Roland
Garros Collection.
She’s directed to the
www.lacoste.com/gb/sport/
what's-new/roland-garros/
Home Page.
New Visitor Home Page View
•  Promote hero shot message and personalization
strategy with dynamic titling
•  Personalized Landing Page from GoogleAd Results
The customer Journey What am I doing now?
Browse Product Pages
•  She clicks on the TECHNICAL STRETCH JERSEY
LACOSTE SPORT PLEATED TENNIS SKIRT,
places it in her cart
•  She pulls up the TECHNICAL JERSEY LACOSTE
SPORT TANK TOP TENNIS DRESS TOP
recommendation.
•  She creates an account to save the Skirt in her cart
and the recommendation, logs off and heads to
work
The Customer Journey What Am I Looking At?
Jill Searches tennis.
It’s lunchtime the following day
Jill heads to the café with her
tablet.
She logs in to lacoste.com but
even if she didn’t log in it
wouldn’t matter and continues
shopping on Lacoste..
The Customer Journey What Have I Done In The Past?
Returning Visitor Home Page View
•  Engage with a targeted hero shot and message
based on previous browse activity
•  Mix personalization strategies such as:
–  geo-targeting
–  past browse activity
Jill returns browses, looking at
tennis clothes, along with other
matching tops and outfits before
going back to work.
You might like these.…
It’s the end of the work day, Jill walks
to her favourite coffee shop, grabs a
latte and checks email on her
mobile phone.
She reads a remarketing email sent
from Lacoste.
PLUS YOU MIGHT LIKE
FREE SHIPPING? TAKE ONE OF THESE
Remarketing Email
•  Re-engage with a cart abandonment email
•  Drive conversion with a free shipping offer/reminder
•  Include dynamically delivered recommendations that
are based on current browse activity and if applicable,
bridge the free shipping gap
The Customer Journey What Else Might Interest Me?
Jill views recommendations, adds a
couple of items to her cart and finds
another pair of tennis trainers that
interest her
Facebook/ Doubleclick – Retargetting with Tealium
Jill finishes her coffee and
walks over to the park.
She receives an email on her
mobile phone.
The Customer Journey What Should I do Next?
Drive Action
•  Use geo-fencing to send alerts when customers are
in the vicinity of a brick and mortar store location
•  Send a targeted offer, based on personalized profile
and most current activity
•  Make it easy for them to locate the nearest store
Jill uses the store locater and finds a
Lacoste Store location just a few blocks
away.
Jill decides to go to the store.
Jill is now searching for that
perfect tennis outfit. She can’t
find it in the store, so she
seeks out a sales associate
who has a tablet and can help
her access items which are not
available in the store, but can
be purchased and shipped
directly to her home.
The Customer Journey Help Me Find What I Want
The sales associate searches for
tennis outfits with Jill.
Enhance the In-store Experience
•  They discover the perfect second skirt, that she puts
along with all of the items in Jill’s cart
•  After reviewing all the items in her cart, Jill shows
the sales associate the offer she received on her
phone
•  Jill buys her items
A week later she receives a thank
you email from Lacoste.
The Customer Journey Keep Them Coming Back
Create Customer Loyalty
•  Re-engage with a show of appreciation, including:
–  A special offer based on purchase history and
most recent browse activity
–  Personalized recommendations pulling in
context from her most recent browse activity
Recently Viewed
Recommendation Demand
Report
•  Purpose:
Quickly see how
an application or
a group of
applications
(region) is doing
at a glance
•  Audience:
Those who want
a high level
performance
snapshot (Upper
management)
Experience Comparison Report
•  Purpose: Compare the
effectiveness of specific
strategies in an experience.
•  Audience: Analysts and
those who want to optimize
the priority of strategies within
their respective experiences
What else can Certona do?
•  Product Finder
What else can Certona do?
•  Type-Ahead
Summary
!  Best practises in Tag Management - How to streamline data
collection for enhanced personalisation
!  Improving deployment timeframes for integrating Certona
!  Personalisation best-practice strategies
!  Shared experiences in managing omni-channel individualisation
!  Identifying key metrics for reporting on demand generation
Breakfast @ Café Royal
Questions for today…
Active Life
Driven by
customer profile
data.
Use history to
determine what
brands to
promote.
Home Page
Powered by:
Customer Data
Business Objectives
Merchandising rules
Optimize for
performance
Ability to target
and test delivery
of creative assets
Recommendations
Creative
Offers
Categories
Brands
Product Pages
Driven by the customer
profile and relevant to
what the customer is
looking at.
Target by
segment,
optimized for
customer
Utilize
geographic
location and
weather.
Encourage product
discovery by promoting
items more likely to
convert.
Flexible designs
for every
touchpoint
Offers
Contextual
Messaging
Recommendations
Recommendations
Responsive
Target by
segment
(price, offer)
Powered by:
Customer Data
Business Objectives
Merchandising rules
Recommend
products as
they add items
to cart.
By recommending
products to meet
shipping thresholds.
Recommendations
QuickView
Incentivize
Purchases
Offers
Shopping Cart
Personalized
Marketing Emails
From
previous
purchases
Powered by:
Customer Data
Business Objectives
Merchandising rules
Optimize for
performance
Relatable
Appealing
•  Provide opportunities
for regular
engagement
•  Educate on events
and new product
availability
•  Maximize revenue
•  Reduce inventory
Brands
Offers
Creative
Recommendations
Personalized
Transactional Emails
•  Take advantage of this
highly-viewed email by
adding real-time profile
based recommendations
•  Associate offers with
Like online-content
Encourage follow-up
purchases and re-
engagement.
Optimize for
performance
Offers
Recommendations
Personalized
Remarketing Emails
Remind customers
of products
they’ve expressed
interest in.
Increase the
chances of a
return visit
and purchase.
Make it easy
to complete
purchases.
•  Re-engage customers
and recover lost sales
•  Maintain engagement,
offer alternatives
•  Triggers: browse and
cart abandonment
and replenishment
•  Flexible timing for
sending data to ESP,
as well as the period
of time after
abandonment has
occurred.
Incentivize
Recover
sales
Recommendations
Mobile & Tablet
Target by
segment
(price, offer)
Powered by:
Customer Data
Business Objectives
Merchandising rules
Driven by
customer profile
data.
Use history to
determine
what brands
to promote.
Ability to target and
test delivery of
creative assets
Offers
Brands
Creative
Recommendations
Categories

Más contenido relacionado

La actualidad más candente

Building Reliable Data Lakes at Scale with Delta Lake
Building Reliable Data Lakes at Scale with Delta LakeBuilding Reliable Data Lakes at Scale with Delta Lake
Building Reliable Data Lakes at Scale with Delta Lake
Databricks
 
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
Spark Summit
 
End-to-end Data Governance with Apache Avro and Atlas
End-to-end Data Governance with Apache Avro and AtlasEnd-to-end Data Governance with Apache Avro and Atlas
End-to-end Data Governance with Apache Avro and Atlas
DataWorks Summit
 
Knowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based SearchKnowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based Search
Neo4j
 
Metadata Use Cases You Can Use
Metadata Use Cases You Can UseMetadata Use Cases You Can Use
Metadata Use Cases You Can Use
dmurph4
 

La actualidad más candente (20)

DMPs are Dead. Welcome to the CDP Era.
DMPs are Dead. Welcome to the CDP Era.DMPs are Dead. Welcome to the CDP Era.
DMPs are Dead. Welcome to the CDP Era.
 
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
Melbourne: Certus Data 2.0 Vault Meetup with Snowflake - Data Vault In The Cl...
 
Intro to beautiful soup
Intro to beautiful soupIntro to beautiful soup
Intro to beautiful soup
 
Building Reliable Data Lakes at Scale with Delta Lake
Building Reliable Data Lakes at Scale with Delta LakeBuilding Reliable Data Lakes at Scale with Delta Lake
Building Reliable Data Lakes at Scale with Delta Lake
 
Server-Side: Lösung für alles? [OMX]
Server-Side: Lösung für alles? [OMX] Server-Side: Lösung für alles? [OMX]
Server-Side: Lösung für alles? [OMX]
 
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...
PubCon, Lazarina Stoy. - Machine Learning in Search: Google's ML APIs vs Open...
 
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
Netflix's Recommendation ML Pipeline Using Apache Spark: Spark Summit East ta...
 
End-to-end Data Governance with Apache Avro and Atlas
End-to-end Data Governance with Apache Avro and AtlasEnd-to-end Data Governance with Apache Avro and Atlas
End-to-end Data Governance with Apache Avro and Atlas
 
Improving Data Literacy Around Data Architecture
Improving Data Literacy Around Data ArchitectureImproving Data Literacy Around Data Architecture
Improving Data Literacy Around Data Architecture
 
Building a Logical Data Fabric using Data Virtualization (ASEAN)
Building a Logical Data Fabric using Data Virtualization (ASEAN)Building a Logical Data Fabric using Data Virtualization (ASEAN)
Building a Logical Data Fabric using Data Virtualization (ASEAN)
 
Web Analytics Architecture
Web Analytics ArchitectureWeb Analytics Architecture
Web Analytics Architecture
 
Enterprise guide to building a Data Mesh
Enterprise guide to building a Data MeshEnterprise guide to building a Data Mesh
Enterprise guide to building a Data Mesh
 
Knowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based SearchKnowledge Graphs - The Power of Graph-Based Search
Knowledge Graphs - The Power of Graph-Based Search
 
Straight Talk to Demystify Data Lineage
Straight Talk to Demystify Data LineageStraight Talk to Demystify Data Lineage
Straight Talk to Demystify Data Lineage
 
Building an ML Platform with Ray and MLflow
Building an ML Platform with Ray and MLflowBuilding an ML Platform with Ray and MLflow
Building an ML Platform with Ray and MLflow
 
Activate Data Governance Using the Data Catalog
Activate Data Governance Using the Data CatalogActivate Data Governance Using the Data Catalog
Activate Data Governance Using the Data Catalog
 
Democratizing Data at Airbnb
Democratizing Data at AirbnbDemocratizing Data at Airbnb
Democratizing Data at Airbnb
 
Metadata Use Cases You Can Use
Metadata Use Cases You Can UseMetadata Use Cases You Can Use
Metadata Use Cases You Can Use
 
[MLOps KR 행사] MLOps 춘추 전국 시대 정리(210605)
[MLOps KR 행사] MLOps 춘추 전국 시대 정리(210605)[MLOps KR 행사] MLOps 춘추 전국 시대 정리(210605)
[MLOps KR 행사] MLOps 춘추 전국 시대 정리(210605)
 
Emerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big ThingEmerging Trends in Data Architecture – What’s the Next Big Thing
Emerging Trends in Data Architecture – What’s the Next Big Thing
 

Destacado

Tutorial: Customer Clustering 101
Tutorial: Customer Clustering 101Tutorial: Customer Clustering 101
Tutorial: Customer Clustering 101
AgilOne
 

Destacado (20)

"Success with Tealium AudienceStream" - American Eagle + ALM Media + LFG, Dig...
"Success with Tealium AudienceStream" - American Eagle + ALM Media + LFG, Dig..."Success with Tealium AudienceStream" - American Eagle + ALM Media + LFG, Dig...
"Success with Tealium AudienceStream" - American Eagle + ALM Media + LFG, Dig...
 
DVJP 2016 - Fujitsu Presents
DVJP 2016 - Fujitsu PresentsDVJP 2016 - Fujitsu Presents
DVJP 2016 - Fujitsu Presents
 
"Real-Time Marketing: How Fast Data Can Drive Next-Generation Customer Intera...
"Real-Time Marketing: How Fast Data Can Drive Next-Generation Customer Intera..."Real-Time Marketing: How Fast Data Can Drive Next-Generation Customer Intera...
"Real-Time Marketing: How Fast Data Can Drive Next-Generation Customer Intera...
 
Future-Proofing Your Marketing Technology Stack
Future-Proofing Your Marketing Technology StackFuture-Proofing Your Marketing Technology Stack
Future-Proofing Your Marketing Technology Stack
 
Karel jabornik teradata real-time-interaction_mngmt
Karel jabornik teradata real-time-interaction_mngmtKarel jabornik teradata real-time-interaction_mngmt
Karel jabornik teradata real-time-interaction_mngmt
 
Websphere commerce 7.0 the social commerce platform
Websphere commerce 7.0 the social commerce platformWebsphere commerce 7.0 the social commerce platform
Websphere commerce 7.0 the social commerce platform
 
360 metadata - crucial for digital marketing - framework for you
360 metadata - crucial for digital marketing - framework for you360 metadata - crucial for digital marketing - framework for you
360 metadata - crucial for digital marketing - framework for you
 
Data exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена даннымиData exchange как ключевой элемент экосистемы обмена данными
Data exchange как ключевой элемент экосистемы обмена данными
 
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
 The Digital Intelligence Imperative — Driving Digital Customer Experiences W... The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
The Digital Intelligence Imperative — Driving Digital Customer Experiences W...
 
Advanced Analytics Implementations at EA scale
Advanced Analytics Implementations at EA scaleAdvanced Analytics Implementations at EA scale
Advanced Analytics Implementations at EA scale
 
DV 2016: Mission Possible - Building a New Analytics Framework
DV 2016: Mission Possible - Building a New Analytics FrameworkDV 2016: Mission Possible - Building a New Analytics Framework
DV 2016: Mission Possible - Building a New Analytics Framework
 
"Marketing Technology as Competitive Advantage" - Scott Brinker, Digital Velo...
"Marketing Technology as Competitive Advantage" - Scott Brinker, Digital Velo..."Marketing Technology as Competitive Advantage" - Scott Brinker, Digital Velo...
"Marketing Technology as Competitive Advantage" - Scott Brinker, Digital Velo...
 
Introductory Guide to Clustering
Introductory Guide to ClusteringIntroductory Guide to Clustering
Introductory Guide to Clustering
 
AgilOne Enterprise Edition
AgilOne Enterprise EditionAgilOne Enterprise Edition
AgilOne Enterprise Edition
 
DV 2016: The Death of 'Anonymous'
DV 2016: The Death of 'Anonymous'DV 2016: The Death of 'Anonymous'
DV 2016: The Death of 'Anonymous'
 
DV 2016: Customer Data - The New Value Exchange
DV 2016: Customer Data - The New Value ExchangeDV 2016: Customer Data - The New Value Exchange
DV 2016: Customer Data - The New Value Exchange
 
Predictive Marketing Agilone Email Edition
Predictive Marketing   Agilone Email EditionPredictive Marketing   Agilone Email Edition
Predictive Marketing Agilone Email Edition
 
Tutorial: Customer Clustering 101
Tutorial: Customer Clustering 101Tutorial: Customer Clustering 101
Tutorial: Customer Clustering 101
 
How Customer Data Platforms Solve Enough To Be Interesting
How Customer Data Platforms Solve Enough To Be InterestingHow Customer Data Platforms Solve Enough To Be Interesting
How Customer Data Platforms Solve Enough To Be Interesting
 
RazorfishNeev Engagement Process
RazorfishNeev Engagement ProcessRazorfishNeev Engagement Process
RazorfishNeev Engagement Process
 

Similar a How to Achieve Omnichannel Personalisation

"How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
"How to Create a Practical and Profitable Personalization Strategy" - Brooks ..."How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
"How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
Tealium
 
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
Mintigo1
 
Australian Retail and the Digital Advantage
Australian Retail and the Digital AdvantageAustralian Retail and the Digital Advantage
Australian Retail and the Digital Advantage
Ben Gilchriest
 

Similar a How to Achieve Omnichannel Personalisation (20)

Marketing refresh: The nine effective habits of digitally native brands
Marketing refresh: The nine effective habits of digitally native brandsMarketing refresh: The nine effective habits of digitally native brands
Marketing refresh: The nine effective habits of digitally native brands
 
"How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
"How to Create a Practical and Profitable Personalization Strategy" - Brooks ..."How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
"How to Create a Practical and Profitable Personalization Strategy" - Brooks ...
 
Six Building Blocks Of Digital Transformation PowerPoint Presentation Slides
Six Building Blocks Of Digital Transformation PowerPoint Presentation SlidesSix Building Blocks Of Digital Transformation PowerPoint Presentation Slides
Six Building Blocks Of Digital Transformation PowerPoint Presentation Slides
 
Six Building Blocks Of Digital Transformation Powerpoint Presentation Slides
Six Building Blocks Of Digital Transformation Powerpoint Presentation SlidesSix Building Blocks Of Digital Transformation Powerpoint Presentation Slides
Six Building Blocks Of Digital Transformation Powerpoint Presentation Slides
 
Improving Customer Engagement through Personalisation & Marketing Automation
Improving Customer Engagement through Personalisation & Marketing AutomationImproving Customer Engagement through Personalisation & Marketing Automation
Improving Customer Engagement through Personalisation & Marketing Automation
 
How to reach your true (email) potential
How to reach your true (email) potential How to reach your true (email) potential
How to reach your true (email) potential
 
Cómo gestionar mi estrategia social para atención a clientes
Cómo gestionar mi estrategia social para atención a clientesCómo gestionar mi estrategia social para atención a clientes
Cómo gestionar mi estrategia social para atención a clientes
 
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
[Webinar] How To Be A Data-Driven Marketing Powerhouse With Predictive Analyt...
 
The 5 c's of loyalty strategy
The 5 c's of loyalty strategyThe 5 c's of loyalty strategy
The 5 c's of loyalty strategy
 
The companies with most disruptive retail solutions 2019
The companies with most disruptive retail solutions 2019The companies with most disruptive retail solutions 2019
The companies with most disruptive retail solutions 2019
 
Marketing Automation: Organisational Design & Deployment
Marketing Automation: Organisational Design & DeploymentMarketing Automation: Organisational Design & Deployment
Marketing Automation: Organisational Design & Deployment
 
The Difficult Questions Your Digital Strategist Wants You To Ask (And Some Th...
The Difficult Questions Your Digital Strategist Wants You To Ask (And Some Th...The Difficult Questions Your Digital Strategist Wants You To Ask (And Some Th...
The Difficult Questions Your Digital Strategist Wants You To Ask (And Some Th...
 
Capgemini social media strategy success factors
Capgemini social media strategy success factorsCapgemini social media strategy success factors
Capgemini social media strategy success factors
 
Hacking The Digital Experience Landscape
Hacking The Digital Experience LandscapeHacking The Digital Experience Landscape
Hacking The Digital Experience Landscape
 
Simply designing websites or apps is not enough anymore.
Simply designing websites or apps is not enough anymore.Simply designing websites or apps is not enough anymore.
Simply designing websites or apps is not enough anymore.
 
Scalable. Digital. Success.
Scalable. Digital. Success.Scalable. Digital. Success.
Scalable. Digital. Success.
 
Australian Retail and the Digital Advantage
Australian Retail and the Digital AdvantageAustralian Retail and the Digital Advantage
Australian Retail and the Digital Advantage
 
Personalisation for Peak 2017
Personalisation for Peak 2017Personalisation for Peak 2017
Personalisation for Peak 2017
 
DG2ALL Company presentation
DG2ALL Company presentationDG2ALL Company presentation
DG2ALL Company presentation
 
Account-Based Execution: Your Formula to Improved Pipeline
Account-Based Execution: Your Formula to Improved PipelineAccount-Based Execution: Your Formula to Improved Pipeline
Account-Based Execution: Your Formula to Improved Pipeline
 

Más de Tealium

Más de Tealium (20)

2022 State of the CDP: Key Findings for Tackling the New Age of Data
2022 State of the CDP: Key Findings for Tackling the New Age of Data2022 State of the CDP: Key Findings for Tackling the New Age of Data
2022 State of the CDP: Key Findings for Tackling the New Age of Data
 
Show Me You Care: Why You Should Be Talking About Privacy and Value-Exchange
Show Me You Care: Why You Should Be Talking About Privacy and Value-ExchangeShow Me You Care: Why You Should Be Talking About Privacy and Value-Exchange
Show Me You Care: Why You Should Be Talking About Privacy and Value-Exchange
 
Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...
Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...
Third-Party Cookie Loss Masterclass 3: Making Sense of the Changing Identity ...
 
Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?
Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?
Third-Party Cookie Loss Masterclass 2: Dude, What About My DMP?
 
Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?
Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?
Third-Party Cookie Loss Masterclass 1: So Your Cookie Crumbled, What's Next?
 
Tasty Tech: 3 Proven Recipes for Increasing Loyalty and Retention
Tasty Tech: 3 Proven Recipes for Increasing Loyalty and RetentionTasty Tech: 3 Proven Recipes for Increasing Loyalty and Retention
Tasty Tech: 3 Proven Recipes for Increasing Loyalty and Retention
 
Acquisition, Loyalty and Retention: How a CDP Creates Customers for Life
Acquisition, Loyalty and Retention: How a CDP Creates Customers for LifeAcquisition, Loyalty and Retention: How a CDP Creates Customers for Life
Acquisition, Loyalty and Retention: How a CDP Creates Customers for Life
 
[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer Views
[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer Views[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer Views
[Webinar] The Best Kept Marketing Secret to Achieving Complete Customer Views
 
[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...
[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...
[Webinar] How the Cookie Crumbled: Preparing for a Time without Third-Party C...
 
Digital Velocity London 2018 - How to Build Your Company's Core Innovation Ma...
Digital Velocity London 2018 - How to Build Your Company's Core Innovation Ma...Digital Velocity London 2018 - How to Build Your Company's Core Innovation Ma...
Digital Velocity London 2018 - How to Build Your Company's Core Innovation Ma...
 
Digital Velocity London 2018 - Getting to Grips with Global B2B, Julian Brewer
Digital Velocity London 2018 - Getting to Grips with Global B2B, Julian BrewerDigital Velocity London 2018 - Getting to Grips with Global B2B, Julian Brewer
Digital Velocity London 2018 - Getting to Grips with Global B2B, Julian Brewer
 
Digital Velocity London - What's The Future for Data Orchestration, Tealium D...
Digital Velocity London - What's The Future for Data Orchestration, Tealium D...Digital Velocity London - What's The Future for Data Orchestration, Tealium D...
Digital Velocity London - What's The Future for Data Orchestration, Tealium D...
 
Digital Velocity London 2018 - How to drive personalisation at a global B2B c...
Digital Velocity London 2018 - How to drive personalisation at a global B2B c...Digital Velocity London 2018 - How to drive personalisation at a global B2B c...
Digital Velocity London 2018 - How to drive personalisation at a global B2B c...
 
Digital Velocity London 2018 - James Morgan, Sainsbury's
Digital Velocity London 2018 - James Morgan, Sainsbury'sDigital Velocity London 2018 - James Morgan, Sainsbury's
Digital Velocity London 2018 - James Morgan, Sainsbury's
 
Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...
Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...
Digital Velocity London 2017: Understanding AudienceStream Timeline and Funne...
 
Digital Velocity London 2017: Mobile, IOT, Cloud
Digital Velocity London 2017: Mobile, IOT, CloudDigital Velocity London 2017: Mobile, IOT, Cloud
Digital Velocity London 2017: Mobile, IOT, Cloud
 
Digital Velocity London 2017: Data Layer Enrichment API
Digital Velocity London 2017: Data Layer Enrichment APIDigital Velocity London 2017: Data Layer Enrichment API
Digital Velocity London 2017: Data Layer Enrichment API
 
Digital Velocity London 2017: Build Your Own Connector
Digital Velocity London 2017: Build Your Own ConnectorDigital Velocity London 2017: Build Your Own Connector
Digital Velocity London 2017: Build Your Own Connector
 
Digital Velocity London 2017: All About The Data
Digital Velocity London 2017: All About The DataDigital Velocity London 2017: All About The Data
Digital Velocity London 2017: All About The Data
 
Digital Velocity London 2017: Combining AudienceStream Attributes
Digital Velocity London 2017: Combining AudienceStream AttributesDigital Velocity London 2017: Combining AudienceStream Attributes
Digital Velocity London 2017: Combining AudienceStream Attributes
 

Último

4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
Cara Menggugurkan Kandungan 087776558899
 

Último (20)

Alpha Media March 2024 Buyers Guide.pptx
Alpha Media March 2024 Buyers Guide.pptxAlpha Media March 2024 Buyers Guide.pptx
Alpha Media March 2024 Buyers Guide.pptx
 
The Art of sales from fictional characters.
The Art of sales from fictional characters.The Art of sales from fictional characters.
The Art of sales from fictional characters.
 
Crypto Quantum Leap - Digital - membership area
Crypto Quantum Leap -  Digital - membership areaCrypto Quantum Leap -  Digital - membership area
Crypto Quantum Leap - Digital - membership area
 
The seven principles of persuasion by Dr. Robert Cialdini
The seven principles of persuasion by Dr. Robert CialdiniThe seven principles of persuasion by Dr. Robert Cialdini
The seven principles of persuasion by Dr. Robert Cialdini
 
Resumé Karina Perez | Digital Strategist
Resumé Karina Perez | Digital StrategistResumé Karina Perez | Digital Strategist
Resumé Karina Perez | Digital Strategist
 
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
4 TRIK CARA MENGGUGURKAN JANIN ATAU ABORSI KANDUNGAN
 
Elevating Your Digital Presence by Evitha.pdf
Elevating Your Digital Presence by Evitha.pdfElevating Your Digital Presence by Evitha.pdf
Elevating Your Digital Presence by Evitha.pdf
 
personal branding kit for music business
personal branding kit for music businesspersonal branding kit for music business
personal branding kit for music business
 
Cartona.pptx. Marketing how to present your project very well , discussed a...
Cartona.pptx.   Marketing how to present your project very well , discussed a...Cartona.pptx.   Marketing how to present your project very well , discussed a...
Cartona.pptx. Marketing how to present your project very well , discussed a...
 
Social Media Marketing Portfolio - Maharsh Benday
Social Media Marketing Portfolio - Maharsh BendaySocial Media Marketing Portfolio - Maharsh Benday
Social Media Marketing Portfolio - Maharsh Benday
 
The Impact Of Social Media Advertising.pdf
The Impact Of Social Media Advertising.pdfThe Impact Of Social Media Advertising.pdf
The Impact Of Social Media Advertising.pdf
 
2024 Social Trends Report V4 from Later.com
2024 Social Trends Report V4 from Later.com2024 Social Trends Report V4 from Later.com
2024 Social Trends Report V4 from Later.com
 
[Expert Panel] New Google Shopping Ads Strategies Uncovered
[Expert Panel] New Google Shopping Ads Strategies Uncovered[Expert Panel] New Google Shopping Ads Strategies Uncovered
[Expert Panel] New Google Shopping Ads Strategies Uncovered
 
VIP Call Girls Dongri WhatsApp +91-9833363713, Full Night Service
VIP Call Girls Dongri WhatsApp +91-9833363713, Full Night ServiceVIP Call Girls Dongri WhatsApp +91-9833363713, Full Night Service
VIP Call Girls Dongri WhatsApp +91-9833363713, Full Night Service
 
HITECH CITY CALL GIRL IN 9234842891 💞 INDEPENDENT ESCORT SERVICE HITECH CITY
HITECH CITY CALL GIRL IN 9234842891 💞 INDEPENDENT ESCORT SERVICE HITECH CITYHITECH CITY CALL GIRL IN 9234842891 💞 INDEPENDENT ESCORT SERVICE HITECH CITY
HITECH CITY CALL GIRL IN 9234842891 💞 INDEPENDENT ESCORT SERVICE HITECH CITY
 
The 9th May Incident in Pakistan A Turning Point in History.pptx
The 9th May Incident in Pakistan A Turning Point in History.pptxThe 9th May Incident in Pakistan A Turning Point in History.pptx
The 9th May Incident in Pakistan A Turning Point in History.pptx
 
Optimizing Your Marketing with AI-Powered Prompts
Optimizing Your Marketing with AI-Powered PromptsOptimizing Your Marketing with AI-Powered Prompts
Optimizing Your Marketing with AI-Powered Prompts
 
Aiizennxqc Digital Marketing | SEO & SMM
Aiizennxqc Digital Marketing | SEO & SMMAiizennxqc Digital Marketing | SEO & SMM
Aiizennxqc Digital Marketing | SEO & SMM
 
10 Email Marketing Best Practices to Increase Engagements, CTR, And ROI
10 Email Marketing Best Practices to Increase Engagements, CTR, And ROI10 Email Marketing Best Practices to Increase Engagements, CTR, And ROI
10 Email Marketing Best Practices to Increase Engagements, CTR, And ROI
 
Best 5 Graphics Designing Course In Chandigarh
Best 5 Graphics Designing Course In ChandigarhBest 5 Graphics Designing Course In Chandigarh
Best 5 Graphics Designing Course In Chandigarh
 

How to Achieve Omnichannel Personalisation

  • 1. Click to edit Master subtitle style How to Achieve Omnichannel Personalisation! Simon Taylor Managing Director, Sales Engineering EMEA - Tealium Tim Sumner Senior Pre-Sales Consultant - Certona
  • 2. © 2015 Tealium Inc. All rights reserved. | adidas Agenda! !  Best practises in Tag Management - How to streamline data collection for enhanced personalisation  !  Improving deployment timeframes for integrating Certona  !  Personalisation best-practice strategies  !  Shared experiences in managing omni-channel individualisation  !  Identifying key metrics for reporting on demand generation 2
  • 3. © 2015 Tealium Inc. All rights reserved. | adidas About Tealium! !  Founded 2008 !  600 Plus Customers 200 in EMEA !  330 plus employees and growing !  Market Leader In The Enterprise Tag/Data Management Space !  Only Truly Technology Agnostic Vendor Playing In This Space !  Offices in US, UK, Germany, France, Spain, Japan & Australia !  Growing At Over 100% Year On Year !  Well Funded By Proven VC’s Including Battery Ventures and Tanaya Capitol etc. 3
  • 4. © 2015 Tealium Inc. All rights reserved. | adidas of the same marketers say without integrated data, they cannot effectively manage the customer journey 80% https://econsultancy.com/reports/the-roi-of-tag-management 4 53% of marketers say that resource constraints slow or stop data integration programs The Holy Grail of Digital Marketing! 4 Actionable Real-Time Data Flawless Cross- Device Experiences Omnichannel Delivery Unified Marketing Complete Data Ownership
  • 5. © 2015 Tealium Inc. All rights reserved. | adidas http://www.lumapartners.com/lumascapes/marketing-technology-lumascape/ Marketing Technology Stack! 5 4 Weeks to 
 Deploy 
 a Tag +2,000 MARKETING 
 TECHNOLOGIES 8 Hours in a Work 
 Day
  • 6. © 2015 Tealium Inc. All rights reserved. | adidas Without Tealium - Chaos! 6 Experience Layer Application Layer No Data Layer = CHAOS
  • 7. © 2015 Tealium Inc. All rights reserved. | adidas With Tealium – Comes Order! 7 Unification, Security, Control, Privacy, Enrichment & Ownership Experience Layer Application Layer Data Layer = Order
  • 8. © 2015 Tealium Inc. All rights reserved. | adidas 8 With Tag Management! A few lines of code are added to each page. Anyone in your organisation can manage all your tags from a simple and centralised web interface. Now tags load from the cloud and only load when needed. Without Tag Management! Each tag must be hand coded into each page of the site. Adding new tags and removing old tags can be resource intensive and tags can slow your site down.
  • 9. © 2015 Tealium Inc. All rights reserved. | adidas Define—Your one true definition of data across all your digital assets and customer interactions Control—Your ability to standardize and control data distribution to vendors
 Enrich—Your ability to enrich data to include visitor attributes and insights across technology platforms The Data Layer is Core to The Holy Grail! 9
  • 10. © 2015 Tealium Inc. All rights reserved. | adidas 850+ Turnkey vendor integrations in our marketplace Small Sample of Our Technology Partner Ecosystem Omnivendor Platform! 10
  • 11. © 2015 Tealium Inc. All rights reserved. | adidas 11 Source: www.ghostery.com Global - Enterprise Tag Management Adoption!
  • 12. © 2015 Tealium Inc. All rights reserved. | adidas So, Build Your Own Marketing Cloud™! 12 Advertising - Advertising - Advertising Advertising - - - - - Affiliate Marketing Analytics Analytics - Analytics Analytics Analytics A/B Testing - - - - A/B Testing - - - - - CERTONA - - CRM CRM CRM CRM Email Marketing Email Marketing Email Marketing Email Marketing - Email Marketing - MA MA MA MA MA - - - - - Automation - - - - - Retargeting Social - Social - - Social Tealium iQ & AudienceStream 1000s of best-of-breed point solutions
  • 13. © 2015 Tealium Inc. All rights reserved. | adidas Visitor Enrichment Omnichannel SegmentationReal-time APIs EventStore EventDB AudienceDB TM Tealium iQ Data Layer Creation and Unification Tag Management 750+ Tags Supported Experience Layer Data Layer Application Layer Tealium AudienceStreamTM Tealium Plugging Into the Tealium Platform! 13 Omnichannel and ! Cross-device!
  • 14. © 2015 Tealium Inc. All rights reserved. | adidas 14 AudienceStream Dynamic Personalization The result is a personalized customer journey across all of your engagement channels. Traditional Action! Traditional segmentation is rigid and places people in simplistic groups. Simplistic grouping leads to clumsy marketing interactions. Email! CRM! Display ad! Content! Live chat! Mobile! Group 1! Group 2! Group 3! Generic! Email! Generic! Display ad! Generic! Content!
  • 15. © 2015 Tealium Inc. All rights reserved. | adidas 15 Fragmented Profiles! Cross-device Profiles!
  • 16. © 2015 Tealium Inc. All rights reserved. | adidas Cross Device Stitching! 16 1. Visit a website on my tablet 2. Search for a “shirt” 3. Share the “shirt” link with my 
 laptop 4. Click on link from my laptop 5. Purchase the shirt 6. Open the emailed receipt on my 
 phone
  • 17. © 2015 Tealium Inc. All rights reserved. | adidas Traditional Data Supply Chain! 17 1 2 3 4 5 6 Customer Interactions Technology Vendors Visitor / Customer Data Data Preparation Storage BI / Mining Live visitor interaction with dynamic content and hardcoded tags Application layer fueled by 1000+ Martech vendors Data reclamation process pulling together data from dozens of vendors Data processing to insert into data warehouse Enterprise data warehouse Analytics, prediction, and segmentation Custom interaction or personalization services ǡ Slow 24hrs (min) Omnichannel and Multidevice
  • 18. © 2015 Tealium Inc. All rights reserved. | adidas Modern Data Supply Chain! 1 2 3 4 5 6 Customer Interactions Technology Vendors Visitor / Customer Data Data Preparation Storage BI / Mining Live visitor interaction with dynamic content and unified data and governance Application layer fueled by 1000+ Martech vendors Live actionable data provided via APIs, tags, or feeds Data processing to insert into data warehouse Enterprise data warehouse Analytics, prediction, and segmentation Custom interaction or personalization services ǡ FAST < 1 sec 5 min Omnichannel and Multidevice 18
  • 19. © 2015 Tealium Inc. All rights reserved. | adidas 19
  • 20. © 2015 Tealium Inc. All rights reserved. | adidas 20 Unified Marketing is Not a Myth
  • 21. Established Experience $4.2BClient Revenue in 2014 in Real-Time Generating 11YEARS in Marketplace Personalized Experiences served per month BILLION 30 50Countries* 500+eCommerce*Sites* Across
  • 22. CUSTOMER ENGAGEMENT OBJECTIVES Certona’s proprietary real-time predictive analytics engine is a 100% cloud-based SaaS solution that captures, analyzes, recommends and delivers relevant content for brands. Personalized Experience Management Platform 1:1 REAL-TIME TARGETING CHANNELSASSETS Certona® Predictive Cloud™
  • 23. The Customer Journey Who Am I? Meet Jill Female Mid 30’s Lives in London Works in London Sophisticated & Fashionable, into Health and Fitness. Training for her first amateur tennis tournament. She sees one of her friends posting a Lacoste tennis top that would be perfect!
  • 24. It’s 6:30 am. Jill sits down for breakfast. She pulls out her laptop and searches for Lacoste Roland Garros Collection. She’s directed to the www.lacoste.com/gb/sport/ what's-new/roland-garros/ Home Page. New Visitor Home Page View •  Promote hero shot message and personalization strategy with dynamic titling •  Personalized Landing Page from GoogleAd Results The customer Journey What am I doing now?
  • 25. Browse Product Pages •  She clicks on the TECHNICAL STRETCH JERSEY LACOSTE SPORT PLEATED TENNIS SKIRT, places it in her cart •  She pulls up the TECHNICAL JERSEY LACOSTE SPORT TANK TOP TENNIS DRESS TOP recommendation. •  She creates an account to save the Skirt in her cart and the recommendation, logs off and heads to work The Customer Journey What Am I Looking At? Jill Searches tennis.
  • 26. It’s lunchtime the following day Jill heads to the café with her tablet. She logs in to lacoste.com but even if she didn’t log in it wouldn’t matter and continues shopping on Lacoste.. The Customer Journey What Have I Done In The Past? Returning Visitor Home Page View •  Engage with a targeted hero shot and message based on previous browse activity •  Mix personalization strategies such as: –  geo-targeting –  past browse activity Jill returns browses, looking at tennis clothes, along with other matching tops and outfits before going back to work. You might like these.…
  • 27. It’s the end of the work day, Jill walks to her favourite coffee shop, grabs a latte and checks email on her mobile phone. She reads a remarketing email sent from Lacoste. PLUS YOU MIGHT LIKE FREE SHIPPING? TAKE ONE OF THESE Remarketing Email •  Re-engage with a cart abandonment email •  Drive conversion with a free shipping offer/reminder •  Include dynamically delivered recommendations that are based on current browse activity and if applicable, bridge the free shipping gap The Customer Journey What Else Might Interest Me? Jill views recommendations, adds a couple of items to her cart and finds another pair of tennis trainers that interest her
  • 28. Facebook/ Doubleclick – Retargetting with Tealium
  • 29. Jill finishes her coffee and walks over to the park. She receives an email on her mobile phone. The Customer Journey What Should I do Next? Drive Action •  Use geo-fencing to send alerts when customers are in the vicinity of a brick and mortar store location •  Send a targeted offer, based on personalized profile and most current activity •  Make it easy for them to locate the nearest store Jill uses the store locater and finds a Lacoste Store location just a few blocks away.
  • 30. Jill decides to go to the store. Jill is now searching for that perfect tennis outfit. She can’t find it in the store, so she seeks out a sales associate who has a tablet and can help her access items which are not available in the store, but can be purchased and shipped directly to her home. The Customer Journey Help Me Find What I Want The sales associate searches for tennis outfits with Jill. Enhance the In-store Experience •  They discover the perfect second skirt, that she puts along with all of the items in Jill’s cart •  After reviewing all the items in her cart, Jill shows the sales associate the offer she received on her phone •  Jill buys her items
  • 31. A week later she receives a thank you email from Lacoste. The Customer Journey Keep Them Coming Back Create Customer Loyalty •  Re-engage with a show of appreciation, including: –  A special offer based on purchase history and most recent browse activity –  Personalized recommendations pulling in context from her most recent browse activity Recently Viewed
  • 32. Recommendation Demand Report •  Purpose: Quickly see how an application or a group of applications (region) is doing at a glance •  Audience: Those who want a high level performance snapshot (Upper management)
  • 33. Experience Comparison Report •  Purpose: Compare the effectiveness of specific strategies in an experience. •  Audience: Analysts and those who want to optimize the priority of strategies within their respective experiences
  • 34. What else can Certona do? •  Product Finder
  • 35. What else can Certona do? •  Type-Ahead
  • 36. Summary !  Best practises in Tag Management - How to streamline data collection for enhanced personalisation !  Improving deployment timeframes for integrating Certona !  Personalisation best-practice strategies !  Shared experiences in managing omni-channel individualisation !  Identifying key metrics for reporting on demand generation
  • 40. Driven by customer profile data. Use history to determine what brands to promote. Home Page Powered by: Customer Data Business Objectives Merchandising rules Optimize for performance Ability to target and test delivery of creative assets Recommendations Creative Offers Categories Brands
  • 41. Product Pages Driven by the customer profile and relevant to what the customer is looking at. Target by segment, optimized for customer Utilize geographic location and weather. Encourage product discovery by promoting items more likely to convert. Flexible designs for every touchpoint Offers Contextual Messaging Recommendations Recommendations Responsive
  • 42. Target by segment (price, offer) Powered by: Customer Data Business Objectives Merchandising rules Recommend products as they add items to cart. By recommending products to meet shipping thresholds. Recommendations QuickView Incentivize Purchases Offers Shopping Cart
  • 43. Personalized Marketing Emails From previous purchases Powered by: Customer Data Business Objectives Merchandising rules Optimize for performance Relatable Appealing •  Provide opportunities for regular engagement •  Educate on events and new product availability •  Maximize revenue •  Reduce inventory Brands Offers Creative Recommendations
  • 44. Personalized Transactional Emails •  Take advantage of this highly-viewed email by adding real-time profile based recommendations •  Associate offers with Like online-content Encourage follow-up purchases and re- engagement. Optimize for performance Offers Recommendations
  • 45. Personalized Remarketing Emails Remind customers of products they’ve expressed interest in. Increase the chances of a return visit and purchase. Make it easy to complete purchases. •  Re-engage customers and recover lost sales •  Maintain engagement, offer alternatives •  Triggers: browse and cart abandonment and replenishment •  Flexible timing for sending data to ESP, as well as the period of time after abandonment has occurred. Incentivize Recover sales Recommendations
  • 46. Mobile & Tablet Target by segment (price, offer) Powered by: Customer Data Business Objectives Merchandising rules Driven by customer profile data. Use history to determine what brands to promote. Ability to target and test delivery of creative assets Offers Brands Creative Recommendations Categories