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Digital Marketing Insights Report 2014 1
Digital
Marketing
Insights
Report 2014.
reports
A survey examining trends in
data-centric marketing.
In association with:
Digital Marketing Insights Report 2014 2
Digital
Marketing
Insights
Report 2014.
A survey examining trends in data-
centric marketing.
In partnership with Teradata and
Celebrus Technologies.
Published January 2014
All rights reserved. No part of this publication may be reproduced or transmitted in any form
or by any means, electronic or mechanical, including photocopy, recording or any information
storage and retrieval system, without prior permission in writing from the publisher.
Copyright © Sift Media 2014
Sift Media, 6th Floor Bridge House, 48-52 Baldwin Street, Bristol, BS1 1QB, United Kingdom
www.siftmedia.co.uk www.mycustomer.com
Digital Marketing Insights Report 2014 3
1.	 Executive Summary
2.	 Foreword
	 2.1.	 About Teradata
	 2.2.	 About Celebrus Technologies
3.	 About MyCustomer
4.	 Methodology
5.	 Findings
	 5.1.	 Digital marketing priorities
	 5.2.	 Data collection and storage
	 5.3.	 Analytics
	 5.4.	 Personalisation
Contents.
Digital Marketing Insights Report 2014 4
1. Executive
summary.
With the global economy in a delicate state of re-
covery, competition for business is fiercer than ever
in many marketplaces. Simultaneously, consumer
behaviour is rapidly changing, characterised by the
emergence of the ‘omnichannel’ customer.
With the emphasis therefore on brands knowing their marketplace
and customers better than their competitors, data-driven market-
ing has become a more critical discipline than in the past.
However, in some respects data is presently as much a challenge
as it is an opportunity for the modern business, with the volume of
data available to marketers expanding at an exponential rate. The
Big Data age is upon us, driven by the extraordinary amount of
user generated content being produced by the likes of social media
as well as behavioural data from the growing number of digital
channels and touchpoints.
So are the digital marketers turning the tide of data and analytics
to their advantage? And if so, how?
This report examines how modern digital marketers are using data
and analytics to meet their department’s targets and their wider
Digital Marketing Insights Report 2014 5
organisation’s goals.
The objective of the research was to determine where data manage-
ment (including storage, analysis and application) sits in the list of
priorities for digital marketing departments, and then identify the
roadblocks and opportunities that respondents are experiencing in
their efforts to become more data-centric.
In particular, we have drilled down into the following areas:
•	 Digital marketing priorities
•	 Data collection and storage
•	 Analytics
•	 Personalisation
This report is based on a survey of organisations in the UK, France
and Germany carried out by MyCustomer in partnership with
Teradata and Celebrus Technologies.
We would like to extend our thanks to all the respondents that par-
ticipated in the research.
In summary, the findings of the research are:
•	 The storage and integration of customer data into a single data-
base is the biggest data challenge facing marketers.
•	 While respondents report significant benefits of a single cus-
tomer view, only a fifth have achieved this at present.
•	 Half of respondents predict they will have hired dedicated ana-
lytics expertise into their marketing department within the next
two years, reflecting the wide range of benefits that organisations
Digital Marketing Insights Report 2014 6
are reporting from their analytics efforts.
•	 Over a third of respondents reported that personalised mar-
keting would be a critical component of their digital marketing
within the next two years.
•	 Data quality is a concern for a significant proportion of those
surveyed, who felt it could have major implications for their
analytics and personalisation efforts.
•	 Capitalising on Big Data is currently a digital marketing priority
for only around a quarter of respondents.
Overall, the results reflect an industry that acknowledges the
importance of a data-centric approach to marketing—and in par-
ticular the value that a holistic view of that customer data would
offer.
There is a strong recognition of the need for a single customer view,
the importance of analytics in the digital marketing toolkit, and
also the value of data-powered personalisation to their business,
with respondents reporting strong returns from their efforts.
However, the findings also demonstrate that the modern market-
ing department is one that is struggling to contend with the volume
of trends and platforms that demand their attention. As a result,
the likes of social media and mobile are being given precedence
over tackling Big Data by the vast majority of those questioned. A
large proportion of respondents acknowledge that their stretched
resources are the main obstacle to better data management, ana-
lytics and personalisation.
But the marketing department is in a constant state of flux, and
should the global economic environment continue to improve,
Digital Marketing Insights Report 2014 7
marketers will likely have greater resources at their disposal to bet-
ter tackle the unprecedented number of challenges and opportuni-
ties they find themselves confronted with. Indeed, most of those
surveyed are optimistic that there will be greater investment in the
likes of data management and analytics in the near future.
Given the strong benefits reported by respondents from their ana-
lytics and personalisation programmes, those that prioritise divert-
ing greater resources into supporting their data-centric marketing
are those that are likely to find themselves best positioned to capi-
talise on the improving economy.
Digital Marketing Insights Report 2014 8
2. Foreword.
Consumer expectations are rising—fast! The “always
on—always connected” consumer demands engag-
ing, relevant and seamless communication from an
organisation—and they expect to be communicated
with as individuals, irrespective of the channel and
device they are using. Moreover, increasingly short
attention spans often mean that consumers want
those interactions to be immediate.
The digital marketing landscape is rapidly evolving, in tandem
with marketers facing an increasingly tough job, usually with lim-
ited resources, of harnessing the power of omnichannel data-driv-
en marketing to meet those growing demands. The results of this
survey show they are reaping the rewards of their efforts through
deepened customer insight, enhanced targeting and improved
conversion rates.
The next step, however, is to deliver an individual experience at a
true one-to-one level for each customer. That is a huge challenge
to today’s digital marketers as it requires not just the ability to
continuously ‘listen’ and piece together a 360° understanding of
how a single customer interacts across all touchpoints, but also to
interpret those signals, create new insights, and take appropriate
actions. All increasingly in real-time.
Capturing those innumerable interactions generates vast quanti-
ties of data e.g. clickstream, email, social, ad impressions etc, that
Digital Marketing Insights Report 2014 9
is highly variable, dynamic and multi-structured in nature. To add
to these challenges, data sources such as web analytics are aggre-
gated, making it even harder to meet the one-to-one omnichannel
goal.
Encouragingly, the results of this survey show that overcoming
these obstacles is a high priority for digital marketers. When asked
to look forward two years, nearly 60% said they will have a com-
plete 360° single customer view in place by then and a staggering
80% believe that personalisation will be key to their digital mar-
keting success. To achieve those goals, investment is planned in
both the analytical expertise and technologies required to turn that
insight into actions that will ultimately improve loyalty, conversion
and Marketing ROI.
Teradata and Celebrus Technologies know that understanding,
identifying and adapting to opportunities in this rapidly shifting
world requires data and analytics on an unprecedented scale. We
believe that every business can unlock the potential in their data
and transform their digital marketing with unique and powerful
analytics and marketing applications.
We are very thankful for all who participated in this research. We
hope that the insights will help us all understand the challenges
and opportunities that lie ahead for digital marketing. It’s going to
be an exciting ride!
Katharine Hulls,
VP Marketing,
Celebrus Technologies
Ruth Gordon,
Director Digital Marketing, International
Teradata Corporation
Digital Marketing Insights Report 2014 10
2.1 About Teradata Corporation
Teradata (NYSE: TDC) is the world’s leading analytic data solu-
tions company. Teradata offers the world’s leading analytic data
platforms, marketing and analytic applications and services. We
invented data warehousing specifically for analytic decision sup-
port and today we are extending that expertise into big data analyt-
ics and business applications. No company has helped more peo-
ple unlock the economic value of data than Teradata. We deliver
industry-focused business solutions based on the most advanced,
powerful, scalable, and reliable analytics and marketing platforms
in the world. Teradata has a diverse portfolio of integrated data
warehousing, unified data architecture, big data analytics and dis-
covery, marketing and business applications, and services. Learn
more at www.teradata.com. Locations: Dayton, Ohio; San Diego,
Atlanta,andIndianapolis;withofficesacrosstheAmericas,Europe,
Middle East, Africa, Asia and Japan.
Digital Marketing Insights Report 2014 11
2.2 About Celebrus Technologies
Celebrus Technologies enables organisations to understand indi-
vidual customer interactions with their digital channels in order
to power one-to-one data-driven marketing, real-time personalisa-
tion and advanced customer analytics. Celebrus’ tagging-free dig-
ital big data software collects data about an individual’s behaviours
across a brand’s websites, mobile apps, social and streaming media
and automatically applies business context. It then streams this
contextualised data into a wide variety of big data technologies in
parallel, in real-time or near real-time. Global blue-chip clients use
Celebrus’ award winning technology to drive analytics and actions
that maximize revenue, marketing effectiveness and brand loyalty.
Celebrus Technologies and Teradata have worked together since
2009, jointly developing tightly integrated solutions that capture
and transform individual-level digital channel data and feed it
directly into:
•	 Teradata’s Integrated Channel Intelligence (ICI) Solution for
data warehousing and centralisation
•	 The Teradata Aster SQL-MapReduce® Platform for data dis-
covery and big data analytics
•	 Teradata Real-Time Interaction Manager (RTIM) for real-time
website personalisation and offer management
Digital Marketing Insights Report 2014 12
For more information about Celebrus Technologies visit
www.celebrus.com or follow @CelebrusTech on Twitter.
Digital Marketing Insights Report 2014 13
MyCustomer.com is an online community of custom-
er-focused professionals, sharing news and advice
on fields including customer service, customer ex-
perience, marketing, sales, CRM and social CRM.
3. About
MyCustomer.
Digital Marketing Insights Report 2014 14
This report is based on a European survey of 115
marketing professionals working in a variety of sec-
tors. The survey was live during November 2013.
MyCustomer promoted the survey to in-target segments of its
readership via email marketing and social media promotion. Due
to the nature of our sample, a bias towards those with an interest
in marketing techniques and data usage is to be expected and fully
intentional.
All responses to the questions are anonymised for the purposes of
this report and the incentive for participation was a free iPad mini
and a complimentary copy of the report once complete.
The research was intended to survey a broad cross section of sec-
tors and company sizes with a bias towards marketing and data job
functions. We were targeting the UK, French and German markets
so promotion was limited to these countries.
4. Research
methodology.
Digital Marketing Insights Report 2014 15
The following charts outline the job functions and country profiles
for all respondents:
Job functions
Country profiles
44%
14%11%
Marketing
CRM/Customer insight
18%
Analytics/data
4%
Other
Digital marketing
9%
Operations
4%
Market
r insight
/data
4%
Other
Digital marketing
perations
62%
UK
21%
France
17%
Germany
62
UK
nce
7%
Germany
Digital Marketing Insights Report 2014 16
5.1 Digital marketing priorities
5.1.1 what are your digital marketing priorities?
Long regarded as the backbone of digital marketing, and still see-
ing robust investment despite the proliferation of other digital
channels, email marketing emerged as the most popular prior-
ity amongst the companies surveyed, with 58% of respondents
reporting that it represents a key element of their digital market-
ing efforts. This was closely followed by search marketing (57%),
another digital marketing stalwart.
However, perhaps surprisingly given its relative immaturity and
questions concerning measurability, social media marketing was
the third most nominated priority, with over half of respondents
citing it (52%).
But less of a priority for those questioned were Big Data collection
and analysis (27%) and mobile marketing (27%), both of which
registered as a digital marketing priority for only around a quarter
of respondents.
Sitting in between these groups, and nominated a priority by
around a third of those surveyed, is personalisation (37%).
5. Research
findings.
Digital Marketing Insights Report 2014 17
What are your biggest priorities for digital marketing?
5.2 Data collection and storage
5.2.1 what are the biggest data challenges facing your marketing
team?
It’s estimated that every day across the globe, we generate 2.5 quin-
tillion bytes of data—to put that into context, that means that 90%
of the data in the world today has been generated in the last two
years alone. Customers today leave behind a digital trail of their
actions, via the likes of mobile devices, social media and website
interactions. In addition to traditional sources of customer data,
all of this can provide marketers with insights into what motivates
customers and, when analysed, this enables brands to align their
marketing strategies with the needs of customers.
0% 10 20 30 40 50 60
1) What are the biggest priorities for digital marketing?
Big data collection and analysis
Omnichannel marketing
Marketing automation
Personalisation
Mobile marketing
Social media marketing
Email marketing
Online marketing
Search marketing
58%
57%
52%
46%
45%
37%
27%
27%
21%
3) What types of customer data do you collect?
0% 10 20 30 40 50 60 70 80
Other
Third party data
Web analytics/aggregated web data
Customer survey data
Customer interaction/CRM data
Customer purchase/transaction data
Customer demographics
Mobile location data
Social data
Individual online behavioural data
70%
48%
47%
45%
38%
37%
36%
18%
15%
2%
Digital Marketing Insights Report 2014 18
Respondents told us that a number of obstacles are preventing
their digital marketing efforts from capitalising on this customer
data. The most commonly quoted of these related to the storage
and integration of customer data into a single database, reported
by over a third (36%). Also reported by almost a quarter of those
surveyed are challenges regarding data quality (23%).
Often those surveyed reported a combination of problems. Here is
a sample of some of the responses:
•	 “Maintaining data quality is an ongoing process challenge. We
have an integrated ERP and CRM platform so collection is rel-
atively easy. Drawing the right conclusions from the analysis
given current tools is more of a challenge.”
•	 “Digital fatigue and data protection makes customers more
reluctant to share their data.”
•	 “Deduplication is the main trouble, issue, problem: the more
channels you include the more duplicated data potentially you
have, and consequently you need to spend time and money
to avoid any (or potentially any) mistakes and/or misunder-
standings.”
Digital Marketing Insights Report 2014 19
What are the biggest data challenges facing your
marketing team?
5.2.2. what types of customer data do you collect?
So, of the many data sources available to marketers today, what do
our respondents collect?
Almost three quarters of respondents (70%) report that they are
collecting aggregated web data as part of their digital marketing
process, making it the primary source of data. Around half of those
surveyed also report collecting transactional data (48%), demo-
graphic data (47%) and customer interaction data (45%).
2) What are the biggest data challenges facing your marketing team?
Data collection
Legal issues
Making the data
actionable
Other
Data storage
(including integration)
Data quality
23%
6%
15%
10%
10%
36%
38%
12%
29%
33%
37%
7% %
5
10
15
20
25
30
35
40
Other
Third party
storage
Separate data marts
(e.g. marketing data mart)
Content management
system
Big data storage and
management platforms
(e.g. Hadoop)
Single centralised
database
4) Where is your customer data currently stored?
Digital Marketing Insights Report 2014 20
What types of customer data do you collect?
5.2.3. where is your customer data stored?
As the number of customer channels and data sources proliferate,
so there are increasing numbers of data systems, and more ways
to collect the data. However, as few systems are created with data
sharing in mind, this raises the probability that customer data will
be siloed, and so the opportunity to enhance marketing efforts
with additional data from other systems will go begging unless a
centralised database is created.
At present, only just over a third of respondents state that they
have a single centralised database for their customer data (38%).
The others surveyed report that they use a combination of third
0% 10 20 30 40 50 60
3) What types of customer data do you collect?
0% 10 20 30 40 50 60 70 80
Other
Third party data
Web analytics/aggregated web data
Customer survey data
Customer interaction/CRM data
Customer purchase/transaction data
Customer demographics
Mobile location data
Social data
Individual online behavioural data
%
30
40
20
10
50
Other
Third party
storage
Separate data marts
(e.g. marketing data mart)
Content management
system
Big data storage and
management platforms
(e.g. Hadoop)
Single centralised
database
5) Where will you store your customer data in the future (2+ years)
52
70%
48%
47%
45%
38%
37%
36%
18%
15%
2%
49%
27%
30%
13%
33%
6%
Digital Marketing Insights Report 2014 21
party systems (37%), siloed data systems (33%) and content man-
agement systems (29%).
There is, however, expected to be a shift towards single centralised
databases in the near future, with almost half (49%) of respondents
stating that their data will be held in a single system in the next two
years. Reflecting this shift, the number of those with separate data
marts is predicted to decline to 12%.
Where is your customer data currently stored?
Making the data
actionable
Other
Data storage
(including integration)
6%
15%
10%
36%
38%
12%
29%
33%
37%
7% %
5
10
15
20
25
30
35
40
Other
Third party
storage
Separate data marts
(e.g. marketing data mart)
Content management
system
Big data storage and
management platforms
(e.g. Hadoop)
Single centralised
database
4) Where is your customer data currently stored?
We have a single view of
each customer, across all
6) How would you describe your customer data at present?
Digital Marketing Insights Report 2014 22
Where will you store your customer data in the
future (2+ years)?
5.2.4. how would you describe your customer data at present/in two
years’ time?
A single customer view (SCV) is a database containing a single,
holistic view of your customers and prospects across different
channels and areas of your business, which can power direct mar-
keting, customer insight, campaign management, data and journey
analytics and more valuable programmes.
With only a third of respondents reporting they have a single uni-
fied database, it is unsurprising that less than a quarter (21%) told
us they have a single customer view of their customers.
%
30
40
20
10
50
Other
Third party
storage
Separate data marts
(e.g. marketing data mart)
Content management
system
Big data storage and
management platforms
(e.g. Hadoop)
Single centralised
database
5) Where will you store your customer data in the future (2+ years)
7) How would you describe your customer data in the future (2+ years)?
57%
We have integrated some
data records, but do not yet
have a single customer view
with a single master data set
Our customer data resides
in numerous databases
and we have yet to begin
the integration process
We have a single view
of each customer,
across all touchpoints
and products, in a
master data set
3%
40%
49%
27%
30%
13%
33%
6%
Digital Marketing Insights Report 2014 23
However, this number is set to leap significantly in the next two
years, with 57% predicting they’ll have achieved a single customer
view in two years’ time. More than double the present number.
How would you describe your customer data at present?
How would you describe your customer data in the
future (2+ years)?
29%
33%
37%
80
Third party
storage
Separate data marts
(e.g. marketing data mart)
system
ars)
We have integrated some
data records, but do not yet
have a single customer view
with a single master data set
Our customer data resides
in numerous databases and
we have yet to begin the
integration process
We have a single view of
each customer, across all
touchpoints and products,
in a master data set
6) How would you describe your customer data at present?
ars)? 8) How does it most benefit your organisation?
10) Which of the following analytics do you use?
21%
27%
52%
0% 10 20 30 40 50 60 70 80
Not sure
Improved marketing effectiveness/ROI
Increased response/conversion rates
Better customer targeting
No benefit
Better marketing analysis
Reduced marketing costs
Improved marketing personalisation
Better customer insight
%
%
70%
60%
45%
45%
40%
35%
30%
5%
0%
0% 10 20 30 40 50 60 70 80
Other
%
30
40
20
10
50
Other
Third party
storage
Separate data marts
(e.g. marketing data mart)
Content management
system
Big data storage and
management platforms
(e.g. Hadoop)
Single centralised
database
5) Where will you store your customer data in the future (2+ years)
We
dat
hav
wit
7) How would you describe your customer data in the future (2+ years)?
9) What are the barriers to a single customer view?
52%
57%
We have integrated some
data records, but do not yet
have a single customer view
with a single master data set
Our customer data resides
in numerous databases
and we have yet to begin
the integration process
We have a single view
of each customer,
across all touchpoints
and products, in a
master data set
3%
40%
2%
49%
27%
30%
13%
33%
6%
Digital Marketing Insights Report 2014 24
5.2.5. how does a single customer view benefit your organisation?
Emphasising the importance of achieving a single customer view,
those that do have an SCV report a range of benefits, most com-
monly: better customer insight (70%), improved marketing per-
sonalisation (60%), better customer targeting (45%) and improved
overall marketing effectiveness/ROI (45%).
How does it most benefit your organisation?
5.2.6. what are the barriers in your organisation to a single cus-
tomer view?
Those respondents that told us they have yet to achieve a single
customer view report a range of obstacles that are impeding them.
Half of those without an SCV claim that the work required to
achieve it is too time consuming (50%), but almost as common are
We have integrated some
data records, but do not yet
have a single customer view
with a single master data set
Our customer data resides
in numerous databases and
we have yet to begin the
integration process
8) How does it most benefit your organisation?
10) Which of the following analytics do you use?
21%
27%
52%
0% 10 20 30 40 50 60 70 80
Not sure
Improved marketing effectiveness/ROI
Increased response/conversion rates
Better customer targeting
No benefit
Better marketing analysis
Reduced marketing costs
Improved marketing personalisation
Better customer insight
None
Response analysis
Individual customer analytics
Enterprise feedback management
Sentiment analysis
Engagement and influence analysis
Campaign attribution
Customer journey analytics
Web analytics
Basket analytics
Predictive analytics
70%
60%
45%
45%
40%
35%
30%
5%
0%
72%
41%
36%
35%
34%
34%
31%
20%
16%
8%
3%
Digital Marketing Insights Report 2014 25
structural issues such as departmental silos (46%) and technologi-
cal challenges (44%).
There are a host of other issues that are commonly reported as well
including strategic problems (34%), confusion over ownership of
data within the organisation (33%) and a lack of skills/expertise
(31%).
What are the barriers to a single customer view?
9) What are the barriers to a single customer view?
11) What are the benefits of your customer analytics work at your organisatio
57%
with a single master data set
Our customer data resides
in numerous databases
and we have yet to begin
the integration process
3%
40%
0% 10 20 30 40 50 60
Other
Data/privacy regulations
Technology challenges
Internal skills and expertise
Structural issues
Cost/budget
Data quality
Too time consuming
Confusion over ownership of data
Not a strategic priority
Improved customer experience
Increased customer acquisition
Improved marketing personalisation
Improved marketing effectiveness/ROMI
Increased customer retention
Improved response/conversion rates
Better customer targeting
51%
46%
44%
35%
33%
33%
32%
27%
21%
8%
71%
59%
51%
51%
47%
47%
40%
Digital Marketing Insights Report 2014 26
5.3 Analytics
5.3.1. what analytics do you use as part of your digital marketing
activities?
Analytics is becoming an increasingly sophisticated discipline with-
in marketing and one which, if done well, can significantly enhance
marketing effectiveness and profitability of any organisation. A
growing number now acknowledge the significant advantage that
an analytical view across multiple sources of data and multiple
channels could deliver to businesses and marketing departments
in particular.
Unsurprisingly, web analytics is the tool most commonly used
by those questioned as part of the survey—almost three quarters
(72%) report that they actively use it to support their digital mar-
keting efforts.
Other analytics endeavours have far less penetration according to
the findings, with around a third of our sample using the likes of
Voice of the Customer (36%), customer journey analysis (35%) and
segmentation (34%).
Once again, efforts that have a ‘social media’ bent are poorly repre-
sented in the results. Analytics to measure engagement and influ-
ence (20%) and sentiment (8%) both having limited adoption.
Also of note from our findings is that while attribution is increas-
ingly an issue for marketers—with a growing combination of media
assisting sales across multiple touchpoints on the path to purchase
meaning that first or last touch is not good enough—less than half
Digital Marketing Insights Report 2014 27
(41%) of respondents told us that they use campaign attribution.
Which of the following analytics do you use?
5.3.2. what are the benefits of your customer analytics work at your
organisation?
Organisationsarereportingthattheiranalyticseffortsareextremely
rewarding, with respondents citing several common benefits. The
most common benefits included better customer targeting, which
was reported by nearly three quarters of those surveyed (71%) while
over half of respondents also reported improved response/conver-
sion rates (58%), improved marketing personalisation (51%), and
improved customer experience (51%).
10) Which of the following analytics do you use?
on? 12) Who currently analyses your customer data?
0% 10 20 30 40 50 60 70 80
No benefit
0% 10 20 30 40 50 60 70 80
Other
None
Response analysis
Individual customer analytics
Enterprise feedback management
Sentiment analysis
Engagement and influence analysis
Campaign attribution
Customer journey analytics
Web analytics
Basket analytics
Predictive analytics
Data not analysed
beyond the basics
In-house marketers
In-house analytics team
40%
41%
16%
0%
72%
41%
36%
35%
34%
34%
31%
20%
16%
8%
3%
0%
Digital Marketing Insights Report 2014 28
Elsewhere, almost half of respondents also report increased cus-
tomer retention (47%).
What are the benefits of your customer analytics work at
your organisation?
5.3.3. who analyses your customer data now/in 2+ years?
Given the proliferation of customer data that can be mined for val-
uable insights, marketing departments are conducting ever greater
levels of analytic investigation. As this requires man hours, organi-
sations must decide whether to either outsource analytics duties,
hire in dedicated analytics expertise or rely on their present work-
force to conduct the analysis.
The findings indicate that handling and analysis of customer data
Data not analysed
beyond the basics
In-house marketers
Analytics is outsourced
In-house analytics team
11) What are the benefits of your customer analytics work at your organisation?
13) Who will analyse your customer data in the future (2+ years)?
0% 10 20 30 40 50 60
Other
Data/privacy regulations
Internal skills and expertise
Cost/budget
Data quality
Confusion over ownership of data
Enga
0% 10 20 30 40 50 60 70 80
Not sure
Increased revenue/sales
Improved customer experience
Increased customer acquisition
Improved marketing personalisation
No benefit
Improved marketing effectiveness/ROMI
Increased customer retention
Increased average basket size/average ticket value
Improved response/conversion rates
Better customer targeting
6%
51%
36%
7%
33%
33%
32%
27%
21%
8%
71%
59%
51%
51%
47%
47%
40%
39%
21%
7%
0%
Digital Marketing Insights Report 2014 29
in businesses today is evenly split between existing marketing
team members (reported by 41% of organisations) and dedicated
in-house analytics experts (40%). Few respondents report they are
outsourcing (2%). 15% of those surveyed admit that they conduct
very limited analytics within their organisation so there are no
duties so to speak of to assign.
However, this is expected to shift over the next two years as organi-
sations increasingly hire in expertise rather than rely on their mar-
keters. 51% predict they will have in-house dedicated analytics
teams, while the number that expect their marketers to undertake
analytics decreases to 35%. The number saying they will outsource
also had a slight uptick to 7%. Those that still expect to only con-
duct limited analytics in two years’ time plummets to 5%.
Who currently analyses your customer data?
10) Which of the following analytics do you use?
? 12) Who currently analyses your customer data?
14) What are the barriers to achieving better
customer analytics at your organisation?
0% 10 20 30 40 50 60 70 80
Other
None
Response analysis
Individual customer analytics
Enterprise feedback management
Sentiment analysis
Engagement and influence analysis
Campaign attribution
Customer journey analytics
Web analytics
Basket analytics
Predictive analytics
Data not analysed
beyond the basics
In-house marketers
Analytics is outsourced
In-house analytics team
40%
3%
41%
16%
72%
41%
36%
35%
34%
34%
31%
20%
16%
8%
3%
0%
Digital Marketing Insights Report 2014 30
Who will analyse your customer data in the future (2+ years)?
5.3.4. what are the barriers to achieving better customer analytics
at your organisation?
While customer analytics is becoming increasingly significant to
the world of digital marketing, there are a number of obstacles to
a more proficient use of analytics reported by respondents. The
most common issue reported is time, with nearly half (47%) citing
a lack of time as the main obstacle to achieving better analytics in
their organisation. However, a range of other challenges are com-
monly quoted including structural issues, such as departmental
silos (37%), internal skills and expertise (37%), costs (32%) and a
lack of strategic focus (32%).
Data not analysed
beyond the basics
In-house marketers
Analytics is outsourced
In-house analytics team
13) Who will analyse your customer data in the future (2+ years)?
15) Which personalisation te
6%
51%
36%
7%
None
Using name only
Segmented content based on profile/transactional data
One-to-one content triggered by individual behaviour
None
Segmented content based on profile data
Automated product recommendations
Tailored content based on individual behaviour
Digital Marketing Insights Report 2014 31
Often those surveyed report a combination of problems. A sample
of some of the responses includes:
•	 “We have a relatively small team that also need to be focused
on other duties.”
•	 “When no-one knows who ‘owns’ the data no-one wants to take
responsibility for it—it will always be someone else’s job!”
•	 “There is plenty of interest in getting deeper into the analytics
side—but we’re hampered by a lack of resource (human and
financial).”
•	 “Data accuracy and richness is still not understood by the last
mile team. Garbage in, garbage out currently.”
•	 “It is too costly for this business to improve upon. The value is
not seen by board level staff.”
What are the barriers to achieving better customer analytics at
your organisation?
? 12) Who currently analyses your customer data?
techniques do you use?
14) What are the barriers to achieving better
customer analytics at your organisation?
Data not analysed
beyond the basics
In-house marketers
Analytics is outsourced
In-house analytics team
40%
3%
41%
16%
0% 10 20 30 40 50
Data silos
Data/privacy regulations
Technology challenges
Internal skills and expertise
Structural issues
Other
Cost/Budget
Data quality
Lack of time
Confusion over ownership of data
Not a strategic focus
47%
37%
37%
33%
33%
29%
27%
24%
20%
11%
0%
Digital Marketing Insights Report 2014 32
5.4. Personalisation
5.4.1. which personalisation techniques do you use?
Saying the right thing to the right customer at the right time—every
time—continues to be the marketing dream. At the same time, it
also resonates with customers who increasingly demand a bespoke
and relevant experience.
With the sophisticated technology available today, not to mention
the growing volumes of customer data at their disposal, marketers
arguably have a greater opportunity to deliver personalisation than
ever before, whether this be on a basic level—such as a name on an
email—to far more sophisticated personalisation, such as one-to-
one real-time website personalisation.
Most respondents have a degree of personalised activity, although
this varies according to platform.
Email is by some margin the most popular platform for personal-
ised marketing, with only 8% of those surveyed reporting that they
did no personalisation over email. The most common approach is
personalised marketing by name (45%), but over a third are also
personalising email marketing based on historical data and profile
(39%).
Website personalisation has less take-up, with a third (33%)
reporting that they undertake no website personalisation efforts.
Automated product recommendations (23%) and content based
on profile/historical data (26%) are most commonly used.
Digital Marketing Insights Report 2014 33
Perhaps surprisingly, with mobile only viewed as a digital market-
ing priority by around a quarter of those questioned, personalisa-
tion efforts over mobile are just as prevalent as with website, with
only 30% saying they have no personalisation over mobile. With
only 8% reporting that they provide personalised marketing via
location data, however, it is unclear from this study where the spe-
cific personalisation efforts are focused. It could be that respond-
ents are incorporating mobile website personalisation into this
category.
Which personalisation techniques do you use?
Data not analysed
beyond the basics
ers
utsourced
In-house analytics team
15) Which personalisation techniques do you use?
is personalisation to your digital marketing efforts at present? 17) How important will personalis
digital marketing efforts be in th
customer analytics at your organisa
%
51%
0% 10 20
Data silos
Data/privacy regulations
Technology challenges
Internal skills and expertise
Structural issues
Other
Cost/Budget
Data quality
Lack of time
Confusion over ownership of data
Not a strategic focus
0% 10 20 30 40 50
Website
Email
Mobile
Display
Advertising based on last item viewed
None
Segmented content based on profile data
Content based on location
Tailored content based on individual behaviour
None
Using name only
Segmented content based on profile/transactional data
One-to-one content triggered by individual behaviour
None
Segmented content based on profile data
Automated product recommendations
Tailored content based on individual behaviour
29%
27%
24%
20%
11%
0%
33%
26%
23%
18%
45%
39%
20%
8%
30%
14%
8%
5%
17%
Digital Marketing Insights Report 2014 34
5.4.2. how important is personalisation to your digital marketing
efforts?
Respondents forecast that personalisation will become increas-
ingly important to their digital marketing efforts.
At present, 51% suggest that personalisation is very important or
critical to their existing digital marketing efforts—16% report that
it is either not important or of limited significance.
This picture looks to increase in the near future, with 35% report-
ing that personalisation will increase in priority to become critical
to their digital marketing in the next two years, while those pre-
dicting it will be very important also rises to 44%.
How important is personalisation in your digital marketing
efforts at present?
Not a focus at all
16) How important is personalisation to your digital marketing efforts at prese
18) Which types of data do you include in your personalisation?
Advertising based on last item view
No
Segmented content based on profile da
Content based on locati
Tailored content based on individual behavio
No
Using name o
Segmented content based on profile/transactional da
One-to-one content triggered by individual behavio
Critical to business success
Important
Very important
Of limited significance
14%
32%
6%
11%
37%
Online behavioural data 59%
Digital Marketing Insights Report 2014 35
How important will personalisation be in your digital marketing
efforts be in the future (2+ years)?
5.4.3. which types of data do you use to inform your personalisation?
A range of data can be used to support personalisation efforts,
but indications from the survey suggest that a limited number of
data sources are being applied at present. Online behavioural data
(59%) is by far the most commonly used data source, while on-site
search (40%) is also quite commonly used to steer personalisation.
Perhaps surprisingly, given the proliferation of personalisation in
email marketing, CRM data is only reported as being used by 37%.
Making up the short fall could conceivably be the likes of expressed
preferences (32%), demographics (29%), previously viewed items
(24%) and purchase history (19%).
Critical to business successImportant
Not a focus at all
esent?
21) Are you making use of data in real time in your channel
personalisation at present?
19) What are the benefits of your personalisation
work at your organisation?
17) How important will personalisation in your
digital marketing efforts be in the future?
Very important
Of limited significance
6%
45%
2%
12% 35%
0% 10 20 30 40 50 60 70 80
Not sure
Increased revenue sales
Improved customer loyalty
Bigger average basket size/ticket value
More customer acquisition
No benefit
Improved marketing effectiveness/ROI
Improved customer retention
Improved customer experience
More cross sales/up sales
Improved response/conversion rates 63%
52%
52%
46%
41%
41%
41%
37%
27%
13%
3%
Digital Marketing Insights Report 2014 36
Which type of data do you include in your personalisation?
5.4.4. what are the benefits of your personalised marketing?
The increasing importance expected to be placed on personalisa-
tion reflects the broad range of benefits that personalisation efforts
are delivering to businesses, with over half of respondents report-
ing improved response/conversion rates (63%), improved custom-
er experience (52%) and improved customer retention (52%) due
to personalised marketing. Elsewhere, around half of respondents
also report benefits such as improved customer loyalty (46%), more
customer acquisition (41%) and more cross sales/up sales (41%).
A mere 3% report no perceived benefits of their personalisation
efforts.
18) Which types of data do you include in your personalisation?
20) What are the barriers to delivering personalisation at your organisation?
0% 10 20 30 40 50 60
Device used
Third party data
Social profile/social graph data
Demographic data
CRM data
Purchase history
Previously viewed items
Expressed preferences
Mobile location data
On-site search terms used
Online behavioural data
0% 5 10 15 20 25 30 35
Other
Personalisation doesn't add value
Cost/budget
Data quality
Lack of time
Structural issues
None
Data silos
Data/privacy regulations
Technology challenges
Internal skills and expertise
Not a strategic focus
59%
40%
32%
24%
29%
21%
19%
16%
14%
13%
37%
35%
33%
33%
33%
29%
22%
19%
16%
13%
6%
3%
2%
Digital Marketing Insights Report 2014 37
What are the benefits of your personalisation work at
your organisation?
5.4.5. what are the barriers to delivering personalisation at your
organisation?
There are a range of barriers to delivering personalised digital
marketing. Although no dominant problem emerges, a third (33%)
admits that personalisation is not a strategic priority within their
organisation, hampering any efforts. Data quality is the most com-
monobstaclereportedbyrespondents(34%),withathirdalsoiden-
tifying associated costs (33%) as being a barrier. Other challenges
cited include lack of time (33%) and technology issues (28%).
21) Are you making use of data in real time in your channel
personalisation at present?
19) What are the benefits of your personalisation
work at your organisation?
0% 10 20 30 40 50 60 70 80
Not sure
Increased revenue sales
Improved customer loyalty
Bigger average basket size/ticket value
More customer acquisition
No benefit
Improved marketing effectiveness/ROI
Improved customer retention
Improved customer experience
More cross sales/up sales
Improved response/conversion rates
11%
26%50%
Yes ― using multichannel real-time
decision technology
Yes ― using individual level
interaction data
No ― don't see it as important
No ― don't have access to
real-time data
63%
52%
52%
46%
41%
41%
41%
37%
27%
13%
3%
Digital Marketing Insights Report 2014 38
A sample of some of the comments related to this:
•	 “Our data depth is too shallow to really drive personalisation—
we need to improve it first and then educate the marketers on
the new opportunities.”
•	 “Our legacy systems are quite limited in what they can offer.
They were built to do a job at a certain time and are not agile
enough to meet cope with the demands of a personalised expe-
rience for our customers.”
•	 “We are not taking personalisation seriously.”
What are the barriers to delivering personalisation at
your organisation?
20) What are the barriers to delivering personalisation at your organisation?
22) Do you plan to make use of data in real time in your
channel personalisation in the future?
0% 10 20 30 40 50 60
Device used
Third party data
Social profile/social graph data
Demographic data
CRM data
Purchase history
Previously viewed items
Expressed preferences
Mobile location data
On-site search terms used
Online behavioural data
0% 5 10 15 20 25 30 35
Other
Personalisation doesn't add value
Cost/budget
Data quality
Lack of time
Structural issues
None
Data silos
Data/privacy regulations
Technology challenges
Internal skills and expertise
Not a strategic focus
59%
40%
32%
24%
29%
21%
19%
16%
14%
13%
37%
35%
33%
33%
33%
29%
22%
19%
16%
13%
6%
3%
2%
Digital Marketing Insights Report 2014 39
5.4.6. are you making use of data in real-time in your channel person-
alisation at present?
While personalised marketing is on the increase, the tools and
techniques continue to evolve, with the latest development being
the emergence of real-time one-to-one personalisation. This tech-
nique means that not only can marketers decide in advance the
kinds of message that customers will view the next time there is
contact, but they are also able to decide what personalised mes-
sage to present during a live interaction. This is the most advanced
form of targeting, enabling the automation and targeting of rel-
evant content to consumers based on data such as their website
behaviour, as well as the integration of data sources such as CRM,
attitudinal and other non-online data.
Of the respondents who are personalising marketing, almost half
(44%) report they are doing some degree of real-time personalisa-
tion at present, with 25% using individual level interaction data,
11% using multichannel real-time decisioning technology and 8%
using specific website personalisation technology.
Digital Marketing Insights Report 2014 40
Are you making use of data in real-time in your channel
personalisation at present?
5.4.7. do you plan to make use of data in real-time in your channel
personalisation in the future (2+ years)?
But the number predicting they will be using real-time one-to-one
website personalisation and offer management will rise to three-
quarters (75%) in the next two years—with particular increases
forecasted for the use of multichannel real-time decisioning tech-
nology (up to 30%) and specific website personalisation technol-
ogy (up to 20%).
ion? 21) Are you making use of data in real time in your channel
personalisation at present?
11%
26%
5%
8%
50%
31%
26%
Yes ― using multichannel real-time
decision technology
al-time
nology
Yes ― using individual level
interaction data
evel
data
No ― don't see it as important
Yes ― using specific website
personalisation technology
No ― don't have access to
real-time data
Digital Marketing Insights Report 2014 41
Do you plan to use data in real-time in your channel
personalisation in the future (2+ years)?
This work is licensed by Sift Media under a Creative Commons Attribution-NoDerrivatives 4.0
International License.
Attribution Guidelines: http://creativecommons.org/licenses/by-nd/4.0/
22) Do you plan to make use of data in real time in your
channel personalisation in the future?
14%
21%
8%
31%
26%
Yes ― using multichannel real-time
decision technology
Yes ― using individual level
interaction dataNo ― don't see it as important
Yes ― using specific website
personalisation technology
No ― don't have access to
real-time data

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Digital marketing insights report 2014

  • 1. Digital Marketing Insights Report 2014 1 Digital Marketing Insights Report 2014. reports A survey examining trends in data-centric marketing. In association with:
  • 2. Digital Marketing Insights Report 2014 2 Digital Marketing Insights Report 2014. A survey examining trends in data- centric marketing. In partnership with Teradata and Celebrus Technologies. Published January 2014 All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording or any information storage and retrieval system, without prior permission in writing from the publisher. Copyright © Sift Media 2014 Sift Media, 6th Floor Bridge House, 48-52 Baldwin Street, Bristol, BS1 1QB, United Kingdom www.siftmedia.co.uk www.mycustomer.com
  • 3. Digital Marketing Insights Report 2014 3 1. Executive Summary 2. Foreword 2.1. About Teradata 2.2. About Celebrus Technologies 3. About MyCustomer 4. Methodology 5. Findings 5.1. Digital marketing priorities 5.2. Data collection and storage 5.3. Analytics 5.4. Personalisation Contents.
  • 4. Digital Marketing Insights Report 2014 4 1. Executive summary. With the global economy in a delicate state of re- covery, competition for business is fiercer than ever in many marketplaces. Simultaneously, consumer behaviour is rapidly changing, characterised by the emergence of the ‘omnichannel’ customer. With the emphasis therefore on brands knowing their marketplace and customers better than their competitors, data-driven market- ing has become a more critical discipline than in the past. However, in some respects data is presently as much a challenge as it is an opportunity for the modern business, with the volume of data available to marketers expanding at an exponential rate. The Big Data age is upon us, driven by the extraordinary amount of user generated content being produced by the likes of social media as well as behavioural data from the growing number of digital channels and touchpoints. So are the digital marketers turning the tide of data and analytics to their advantage? And if so, how? This report examines how modern digital marketers are using data and analytics to meet their department’s targets and their wider
  • 5. Digital Marketing Insights Report 2014 5 organisation’s goals. The objective of the research was to determine where data manage- ment (including storage, analysis and application) sits in the list of priorities for digital marketing departments, and then identify the roadblocks and opportunities that respondents are experiencing in their efforts to become more data-centric. In particular, we have drilled down into the following areas: • Digital marketing priorities • Data collection and storage • Analytics • Personalisation This report is based on a survey of organisations in the UK, France and Germany carried out by MyCustomer in partnership with Teradata and Celebrus Technologies. We would like to extend our thanks to all the respondents that par- ticipated in the research. In summary, the findings of the research are: • The storage and integration of customer data into a single data- base is the biggest data challenge facing marketers. • While respondents report significant benefits of a single cus- tomer view, only a fifth have achieved this at present. • Half of respondents predict they will have hired dedicated ana- lytics expertise into their marketing department within the next two years, reflecting the wide range of benefits that organisations
  • 6. Digital Marketing Insights Report 2014 6 are reporting from their analytics efforts. • Over a third of respondents reported that personalised mar- keting would be a critical component of their digital marketing within the next two years. • Data quality is a concern for a significant proportion of those surveyed, who felt it could have major implications for their analytics and personalisation efforts. • Capitalising on Big Data is currently a digital marketing priority for only around a quarter of respondents. Overall, the results reflect an industry that acknowledges the importance of a data-centric approach to marketing—and in par- ticular the value that a holistic view of that customer data would offer. There is a strong recognition of the need for a single customer view, the importance of analytics in the digital marketing toolkit, and also the value of data-powered personalisation to their business, with respondents reporting strong returns from their efforts. However, the findings also demonstrate that the modern market- ing department is one that is struggling to contend with the volume of trends and platforms that demand their attention. As a result, the likes of social media and mobile are being given precedence over tackling Big Data by the vast majority of those questioned. A large proportion of respondents acknowledge that their stretched resources are the main obstacle to better data management, ana- lytics and personalisation. But the marketing department is in a constant state of flux, and should the global economic environment continue to improve,
  • 7. Digital Marketing Insights Report 2014 7 marketers will likely have greater resources at their disposal to bet- ter tackle the unprecedented number of challenges and opportuni- ties they find themselves confronted with. Indeed, most of those surveyed are optimistic that there will be greater investment in the likes of data management and analytics in the near future. Given the strong benefits reported by respondents from their ana- lytics and personalisation programmes, those that prioritise divert- ing greater resources into supporting their data-centric marketing are those that are likely to find themselves best positioned to capi- talise on the improving economy.
  • 8. Digital Marketing Insights Report 2014 8 2. Foreword. Consumer expectations are rising—fast! The “always on—always connected” consumer demands engag- ing, relevant and seamless communication from an organisation—and they expect to be communicated with as individuals, irrespective of the channel and device they are using. Moreover, increasingly short attention spans often mean that consumers want those interactions to be immediate. The digital marketing landscape is rapidly evolving, in tandem with marketers facing an increasingly tough job, usually with lim- ited resources, of harnessing the power of omnichannel data-driv- en marketing to meet those growing demands. The results of this survey show they are reaping the rewards of their efforts through deepened customer insight, enhanced targeting and improved conversion rates. The next step, however, is to deliver an individual experience at a true one-to-one level for each customer. That is a huge challenge to today’s digital marketers as it requires not just the ability to continuously ‘listen’ and piece together a 360° understanding of how a single customer interacts across all touchpoints, but also to interpret those signals, create new insights, and take appropriate actions. All increasingly in real-time. Capturing those innumerable interactions generates vast quanti- ties of data e.g. clickstream, email, social, ad impressions etc, that
  • 9. Digital Marketing Insights Report 2014 9 is highly variable, dynamic and multi-structured in nature. To add to these challenges, data sources such as web analytics are aggre- gated, making it even harder to meet the one-to-one omnichannel goal. Encouragingly, the results of this survey show that overcoming these obstacles is a high priority for digital marketers. When asked to look forward two years, nearly 60% said they will have a com- plete 360° single customer view in place by then and a staggering 80% believe that personalisation will be key to their digital mar- keting success. To achieve those goals, investment is planned in both the analytical expertise and technologies required to turn that insight into actions that will ultimately improve loyalty, conversion and Marketing ROI. Teradata and Celebrus Technologies know that understanding, identifying and adapting to opportunities in this rapidly shifting world requires data and analytics on an unprecedented scale. We believe that every business can unlock the potential in their data and transform their digital marketing with unique and powerful analytics and marketing applications. We are very thankful for all who participated in this research. We hope that the insights will help us all understand the challenges and opportunities that lie ahead for digital marketing. It’s going to be an exciting ride! Katharine Hulls, VP Marketing, Celebrus Technologies Ruth Gordon, Director Digital Marketing, International Teradata Corporation
  • 10. Digital Marketing Insights Report 2014 10 2.1 About Teradata Corporation Teradata (NYSE: TDC) is the world’s leading analytic data solu- tions company. Teradata offers the world’s leading analytic data platforms, marketing and analytic applications and services. We invented data warehousing specifically for analytic decision sup- port and today we are extending that expertise into big data analyt- ics and business applications. No company has helped more peo- ple unlock the economic value of data than Teradata. We deliver industry-focused business solutions based on the most advanced, powerful, scalable, and reliable analytics and marketing platforms in the world. Teradata has a diverse portfolio of integrated data warehousing, unified data architecture, big data analytics and dis- covery, marketing and business applications, and services. Learn more at www.teradata.com. Locations: Dayton, Ohio; San Diego, Atlanta,andIndianapolis;withofficesacrosstheAmericas,Europe, Middle East, Africa, Asia and Japan.
  • 11. Digital Marketing Insights Report 2014 11 2.2 About Celebrus Technologies Celebrus Technologies enables organisations to understand indi- vidual customer interactions with their digital channels in order to power one-to-one data-driven marketing, real-time personalisa- tion and advanced customer analytics. Celebrus’ tagging-free dig- ital big data software collects data about an individual’s behaviours across a brand’s websites, mobile apps, social and streaming media and automatically applies business context. It then streams this contextualised data into a wide variety of big data technologies in parallel, in real-time or near real-time. Global blue-chip clients use Celebrus’ award winning technology to drive analytics and actions that maximize revenue, marketing effectiveness and brand loyalty. Celebrus Technologies and Teradata have worked together since 2009, jointly developing tightly integrated solutions that capture and transform individual-level digital channel data and feed it directly into: • Teradata’s Integrated Channel Intelligence (ICI) Solution for data warehousing and centralisation • The Teradata Aster SQL-MapReduce® Platform for data dis- covery and big data analytics • Teradata Real-Time Interaction Manager (RTIM) for real-time website personalisation and offer management
  • 12. Digital Marketing Insights Report 2014 12 For more information about Celebrus Technologies visit www.celebrus.com or follow @CelebrusTech on Twitter.
  • 13. Digital Marketing Insights Report 2014 13 MyCustomer.com is an online community of custom- er-focused professionals, sharing news and advice on fields including customer service, customer ex- perience, marketing, sales, CRM and social CRM. 3. About MyCustomer.
  • 14. Digital Marketing Insights Report 2014 14 This report is based on a European survey of 115 marketing professionals working in a variety of sec- tors. The survey was live during November 2013. MyCustomer promoted the survey to in-target segments of its readership via email marketing and social media promotion. Due to the nature of our sample, a bias towards those with an interest in marketing techniques and data usage is to be expected and fully intentional. All responses to the questions are anonymised for the purposes of this report and the incentive for participation was a free iPad mini and a complimentary copy of the report once complete. The research was intended to survey a broad cross section of sec- tors and company sizes with a bias towards marketing and data job functions. We were targeting the UK, French and German markets so promotion was limited to these countries. 4. Research methodology.
  • 15. Digital Marketing Insights Report 2014 15 The following charts outline the job functions and country profiles for all respondents: Job functions Country profiles 44% 14%11% Marketing CRM/Customer insight 18% Analytics/data 4% Other Digital marketing 9% Operations 4% Market r insight /data 4% Other Digital marketing perations 62% UK 21% France 17% Germany 62 UK nce 7% Germany
  • 16. Digital Marketing Insights Report 2014 16 5.1 Digital marketing priorities 5.1.1 what are your digital marketing priorities? Long regarded as the backbone of digital marketing, and still see- ing robust investment despite the proliferation of other digital channels, email marketing emerged as the most popular prior- ity amongst the companies surveyed, with 58% of respondents reporting that it represents a key element of their digital market- ing efforts. This was closely followed by search marketing (57%), another digital marketing stalwart. However, perhaps surprisingly given its relative immaturity and questions concerning measurability, social media marketing was the third most nominated priority, with over half of respondents citing it (52%). But less of a priority for those questioned were Big Data collection and analysis (27%) and mobile marketing (27%), both of which registered as a digital marketing priority for only around a quarter of respondents. Sitting in between these groups, and nominated a priority by around a third of those surveyed, is personalisation (37%). 5. Research findings.
  • 17. Digital Marketing Insights Report 2014 17 What are your biggest priorities for digital marketing? 5.2 Data collection and storage 5.2.1 what are the biggest data challenges facing your marketing team? It’s estimated that every day across the globe, we generate 2.5 quin- tillion bytes of data—to put that into context, that means that 90% of the data in the world today has been generated in the last two years alone. Customers today leave behind a digital trail of their actions, via the likes of mobile devices, social media and website interactions. In addition to traditional sources of customer data, all of this can provide marketers with insights into what motivates customers and, when analysed, this enables brands to align their marketing strategies with the needs of customers. 0% 10 20 30 40 50 60 1) What are the biggest priorities for digital marketing? Big data collection and analysis Omnichannel marketing Marketing automation Personalisation Mobile marketing Social media marketing Email marketing Online marketing Search marketing 58% 57% 52% 46% 45% 37% 27% 27% 21% 3) What types of customer data do you collect? 0% 10 20 30 40 50 60 70 80 Other Third party data Web analytics/aggregated web data Customer survey data Customer interaction/CRM data Customer purchase/transaction data Customer demographics Mobile location data Social data Individual online behavioural data 70% 48% 47% 45% 38% 37% 36% 18% 15% 2%
  • 18. Digital Marketing Insights Report 2014 18 Respondents told us that a number of obstacles are preventing their digital marketing efforts from capitalising on this customer data. The most commonly quoted of these related to the storage and integration of customer data into a single database, reported by over a third (36%). Also reported by almost a quarter of those surveyed are challenges regarding data quality (23%). Often those surveyed reported a combination of problems. Here is a sample of some of the responses: • “Maintaining data quality is an ongoing process challenge. We have an integrated ERP and CRM platform so collection is rel- atively easy. Drawing the right conclusions from the analysis given current tools is more of a challenge.” • “Digital fatigue and data protection makes customers more reluctant to share their data.” • “Deduplication is the main trouble, issue, problem: the more channels you include the more duplicated data potentially you have, and consequently you need to spend time and money to avoid any (or potentially any) mistakes and/or misunder- standings.”
  • 19. Digital Marketing Insights Report 2014 19 What are the biggest data challenges facing your marketing team? 5.2.2. what types of customer data do you collect? So, of the many data sources available to marketers today, what do our respondents collect? Almost three quarters of respondents (70%) report that they are collecting aggregated web data as part of their digital marketing process, making it the primary source of data. Around half of those surveyed also report collecting transactional data (48%), demo- graphic data (47%) and customer interaction data (45%). 2) What are the biggest data challenges facing your marketing team? Data collection Legal issues Making the data actionable Other Data storage (including integration) Data quality 23% 6% 15% 10% 10% 36% 38% 12% 29% 33% 37% 7% % 5 10 15 20 25 30 35 40 Other Third party storage Separate data marts (e.g. marketing data mart) Content management system Big data storage and management platforms (e.g. Hadoop) Single centralised database 4) Where is your customer data currently stored?
  • 20. Digital Marketing Insights Report 2014 20 What types of customer data do you collect? 5.2.3. where is your customer data stored? As the number of customer channels and data sources proliferate, so there are increasing numbers of data systems, and more ways to collect the data. However, as few systems are created with data sharing in mind, this raises the probability that customer data will be siloed, and so the opportunity to enhance marketing efforts with additional data from other systems will go begging unless a centralised database is created. At present, only just over a third of respondents state that they have a single centralised database for their customer data (38%). The others surveyed report that they use a combination of third 0% 10 20 30 40 50 60 3) What types of customer data do you collect? 0% 10 20 30 40 50 60 70 80 Other Third party data Web analytics/aggregated web data Customer survey data Customer interaction/CRM data Customer purchase/transaction data Customer demographics Mobile location data Social data Individual online behavioural data % 30 40 20 10 50 Other Third party storage Separate data marts (e.g. marketing data mart) Content management system Big data storage and management platforms (e.g. Hadoop) Single centralised database 5) Where will you store your customer data in the future (2+ years) 52 70% 48% 47% 45% 38% 37% 36% 18% 15% 2% 49% 27% 30% 13% 33% 6%
  • 21. Digital Marketing Insights Report 2014 21 party systems (37%), siloed data systems (33%) and content man- agement systems (29%). There is, however, expected to be a shift towards single centralised databases in the near future, with almost half (49%) of respondents stating that their data will be held in a single system in the next two years. Reflecting this shift, the number of those with separate data marts is predicted to decline to 12%. Where is your customer data currently stored? Making the data actionable Other Data storage (including integration) 6% 15% 10% 36% 38% 12% 29% 33% 37% 7% % 5 10 15 20 25 30 35 40 Other Third party storage Separate data marts (e.g. marketing data mart) Content management system Big data storage and management platforms (e.g. Hadoop) Single centralised database 4) Where is your customer data currently stored? We have a single view of each customer, across all 6) How would you describe your customer data at present?
  • 22. Digital Marketing Insights Report 2014 22 Where will you store your customer data in the future (2+ years)? 5.2.4. how would you describe your customer data at present/in two years’ time? A single customer view (SCV) is a database containing a single, holistic view of your customers and prospects across different channels and areas of your business, which can power direct mar- keting, customer insight, campaign management, data and journey analytics and more valuable programmes. With only a third of respondents reporting they have a single uni- fied database, it is unsurprising that less than a quarter (21%) told us they have a single customer view of their customers. % 30 40 20 10 50 Other Third party storage Separate data marts (e.g. marketing data mart) Content management system Big data storage and management platforms (e.g. Hadoop) Single centralised database 5) Where will you store your customer data in the future (2+ years) 7) How would you describe your customer data in the future (2+ years)? 57% We have integrated some data records, but do not yet have a single customer view with a single master data set Our customer data resides in numerous databases and we have yet to begin the integration process We have a single view of each customer, across all touchpoints and products, in a master data set 3% 40% 49% 27% 30% 13% 33% 6%
  • 23. Digital Marketing Insights Report 2014 23 However, this number is set to leap significantly in the next two years, with 57% predicting they’ll have achieved a single customer view in two years’ time. More than double the present number. How would you describe your customer data at present? How would you describe your customer data in the future (2+ years)? 29% 33% 37% 80 Third party storage Separate data marts (e.g. marketing data mart) system ars) We have integrated some data records, but do not yet have a single customer view with a single master data set Our customer data resides in numerous databases and we have yet to begin the integration process We have a single view of each customer, across all touchpoints and products, in a master data set 6) How would you describe your customer data at present? ars)? 8) How does it most benefit your organisation? 10) Which of the following analytics do you use? 21% 27% 52% 0% 10 20 30 40 50 60 70 80 Not sure Improved marketing effectiveness/ROI Increased response/conversion rates Better customer targeting No benefit Better marketing analysis Reduced marketing costs Improved marketing personalisation Better customer insight % % 70% 60% 45% 45% 40% 35% 30% 5% 0% 0% 10 20 30 40 50 60 70 80 Other % 30 40 20 10 50 Other Third party storage Separate data marts (e.g. marketing data mart) Content management system Big data storage and management platforms (e.g. Hadoop) Single centralised database 5) Where will you store your customer data in the future (2+ years) We dat hav wit 7) How would you describe your customer data in the future (2+ years)? 9) What are the barriers to a single customer view? 52% 57% We have integrated some data records, but do not yet have a single customer view with a single master data set Our customer data resides in numerous databases and we have yet to begin the integration process We have a single view of each customer, across all touchpoints and products, in a master data set 3% 40% 2% 49% 27% 30% 13% 33% 6%
  • 24. Digital Marketing Insights Report 2014 24 5.2.5. how does a single customer view benefit your organisation? Emphasising the importance of achieving a single customer view, those that do have an SCV report a range of benefits, most com- monly: better customer insight (70%), improved marketing per- sonalisation (60%), better customer targeting (45%) and improved overall marketing effectiveness/ROI (45%). How does it most benefit your organisation? 5.2.6. what are the barriers in your organisation to a single cus- tomer view? Those respondents that told us they have yet to achieve a single customer view report a range of obstacles that are impeding them. Half of those without an SCV claim that the work required to achieve it is too time consuming (50%), but almost as common are We have integrated some data records, but do not yet have a single customer view with a single master data set Our customer data resides in numerous databases and we have yet to begin the integration process 8) How does it most benefit your organisation? 10) Which of the following analytics do you use? 21% 27% 52% 0% 10 20 30 40 50 60 70 80 Not sure Improved marketing effectiveness/ROI Increased response/conversion rates Better customer targeting No benefit Better marketing analysis Reduced marketing costs Improved marketing personalisation Better customer insight None Response analysis Individual customer analytics Enterprise feedback management Sentiment analysis Engagement and influence analysis Campaign attribution Customer journey analytics Web analytics Basket analytics Predictive analytics 70% 60% 45% 45% 40% 35% 30% 5% 0% 72% 41% 36% 35% 34% 34% 31% 20% 16% 8% 3%
  • 25. Digital Marketing Insights Report 2014 25 structural issues such as departmental silos (46%) and technologi- cal challenges (44%). There are a host of other issues that are commonly reported as well including strategic problems (34%), confusion over ownership of data within the organisation (33%) and a lack of skills/expertise (31%). What are the barriers to a single customer view? 9) What are the barriers to a single customer view? 11) What are the benefits of your customer analytics work at your organisatio 57% with a single master data set Our customer data resides in numerous databases and we have yet to begin the integration process 3% 40% 0% 10 20 30 40 50 60 Other Data/privacy regulations Technology challenges Internal skills and expertise Structural issues Cost/budget Data quality Too time consuming Confusion over ownership of data Not a strategic priority Improved customer experience Increased customer acquisition Improved marketing personalisation Improved marketing effectiveness/ROMI Increased customer retention Improved response/conversion rates Better customer targeting 51% 46% 44% 35% 33% 33% 32% 27% 21% 8% 71% 59% 51% 51% 47% 47% 40%
  • 26. Digital Marketing Insights Report 2014 26 5.3 Analytics 5.3.1. what analytics do you use as part of your digital marketing activities? Analytics is becoming an increasingly sophisticated discipline with- in marketing and one which, if done well, can significantly enhance marketing effectiveness and profitability of any organisation. A growing number now acknowledge the significant advantage that an analytical view across multiple sources of data and multiple channels could deliver to businesses and marketing departments in particular. Unsurprisingly, web analytics is the tool most commonly used by those questioned as part of the survey—almost three quarters (72%) report that they actively use it to support their digital mar- keting efforts. Other analytics endeavours have far less penetration according to the findings, with around a third of our sample using the likes of Voice of the Customer (36%), customer journey analysis (35%) and segmentation (34%). Once again, efforts that have a ‘social media’ bent are poorly repre- sented in the results. Analytics to measure engagement and influ- ence (20%) and sentiment (8%) both having limited adoption. Also of note from our findings is that while attribution is increas- ingly an issue for marketers—with a growing combination of media assisting sales across multiple touchpoints on the path to purchase meaning that first or last touch is not good enough—less than half
  • 27. Digital Marketing Insights Report 2014 27 (41%) of respondents told us that they use campaign attribution. Which of the following analytics do you use? 5.3.2. what are the benefits of your customer analytics work at your organisation? Organisationsarereportingthattheiranalyticseffortsareextremely rewarding, with respondents citing several common benefits. The most common benefits included better customer targeting, which was reported by nearly three quarters of those surveyed (71%) while over half of respondents also reported improved response/conver- sion rates (58%), improved marketing personalisation (51%), and improved customer experience (51%). 10) Which of the following analytics do you use? on? 12) Who currently analyses your customer data? 0% 10 20 30 40 50 60 70 80 No benefit 0% 10 20 30 40 50 60 70 80 Other None Response analysis Individual customer analytics Enterprise feedback management Sentiment analysis Engagement and influence analysis Campaign attribution Customer journey analytics Web analytics Basket analytics Predictive analytics Data not analysed beyond the basics In-house marketers In-house analytics team 40% 41% 16% 0% 72% 41% 36% 35% 34% 34% 31% 20% 16% 8% 3% 0%
  • 28. Digital Marketing Insights Report 2014 28 Elsewhere, almost half of respondents also report increased cus- tomer retention (47%). What are the benefits of your customer analytics work at your organisation? 5.3.3. who analyses your customer data now/in 2+ years? Given the proliferation of customer data that can be mined for val- uable insights, marketing departments are conducting ever greater levels of analytic investigation. As this requires man hours, organi- sations must decide whether to either outsource analytics duties, hire in dedicated analytics expertise or rely on their present work- force to conduct the analysis. The findings indicate that handling and analysis of customer data Data not analysed beyond the basics In-house marketers Analytics is outsourced In-house analytics team 11) What are the benefits of your customer analytics work at your organisation? 13) Who will analyse your customer data in the future (2+ years)? 0% 10 20 30 40 50 60 Other Data/privacy regulations Internal skills and expertise Cost/budget Data quality Confusion over ownership of data Enga 0% 10 20 30 40 50 60 70 80 Not sure Increased revenue/sales Improved customer experience Increased customer acquisition Improved marketing personalisation No benefit Improved marketing effectiveness/ROMI Increased customer retention Increased average basket size/average ticket value Improved response/conversion rates Better customer targeting 6% 51% 36% 7% 33% 33% 32% 27% 21% 8% 71% 59% 51% 51% 47% 47% 40% 39% 21% 7% 0%
  • 29. Digital Marketing Insights Report 2014 29 in businesses today is evenly split between existing marketing team members (reported by 41% of organisations) and dedicated in-house analytics experts (40%). Few respondents report they are outsourcing (2%). 15% of those surveyed admit that they conduct very limited analytics within their organisation so there are no duties so to speak of to assign. However, this is expected to shift over the next two years as organi- sations increasingly hire in expertise rather than rely on their mar- keters. 51% predict they will have in-house dedicated analytics teams, while the number that expect their marketers to undertake analytics decreases to 35%. The number saying they will outsource also had a slight uptick to 7%. Those that still expect to only con- duct limited analytics in two years’ time plummets to 5%. Who currently analyses your customer data? 10) Which of the following analytics do you use? ? 12) Who currently analyses your customer data? 14) What are the barriers to achieving better customer analytics at your organisation? 0% 10 20 30 40 50 60 70 80 Other None Response analysis Individual customer analytics Enterprise feedback management Sentiment analysis Engagement and influence analysis Campaign attribution Customer journey analytics Web analytics Basket analytics Predictive analytics Data not analysed beyond the basics In-house marketers Analytics is outsourced In-house analytics team 40% 3% 41% 16% 72% 41% 36% 35% 34% 34% 31% 20% 16% 8% 3% 0%
  • 30. Digital Marketing Insights Report 2014 30 Who will analyse your customer data in the future (2+ years)? 5.3.4. what are the barriers to achieving better customer analytics at your organisation? While customer analytics is becoming increasingly significant to the world of digital marketing, there are a number of obstacles to a more proficient use of analytics reported by respondents. The most common issue reported is time, with nearly half (47%) citing a lack of time as the main obstacle to achieving better analytics in their organisation. However, a range of other challenges are com- monly quoted including structural issues, such as departmental silos (37%), internal skills and expertise (37%), costs (32%) and a lack of strategic focus (32%). Data not analysed beyond the basics In-house marketers Analytics is outsourced In-house analytics team 13) Who will analyse your customer data in the future (2+ years)? 15) Which personalisation te 6% 51% 36% 7% None Using name only Segmented content based on profile/transactional data One-to-one content triggered by individual behaviour None Segmented content based on profile data Automated product recommendations Tailored content based on individual behaviour
  • 31. Digital Marketing Insights Report 2014 31 Often those surveyed report a combination of problems. A sample of some of the responses includes: • “We have a relatively small team that also need to be focused on other duties.” • “When no-one knows who ‘owns’ the data no-one wants to take responsibility for it—it will always be someone else’s job!” • “There is plenty of interest in getting deeper into the analytics side—but we’re hampered by a lack of resource (human and financial).” • “Data accuracy and richness is still not understood by the last mile team. Garbage in, garbage out currently.” • “It is too costly for this business to improve upon. The value is not seen by board level staff.” What are the barriers to achieving better customer analytics at your organisation? ? 12) Who currently analyses your customer data? techniques do you use? 14) What are the barriers to achieving better customer analytics at your organisation? Data not analysed beyond the basics In-house marketers Analytics is outsourced In-house analytics team 40% 3% 41% 16% 0% 10 20 30 40 50 Data silos Data/privacy regulations Technology challenges Internal skills and expertise Structural issues Other Cost/Budget Data quality Lack of time Confusion over ownership of data Not a strategic focus 47% 37% 37% 33% 33% 29% 27% 24% 20% 11% 0%
  • 32. Digital Marketing Insights Report 2014 32 5.4. Personalisation 5.4.1. which personalisation techniques do you use? Saying the right thing to the right customer at the right time—every time—continues to be the marketing dream. At the same time, it also resonates with customers who increasingly demand a bespoke and relevant experience. With the sophisticated technology available today, not to mention the growing volumes of customer data at their disposal, marketers arguably have a greater opportunity to deliver personalisation than ever before, whether this be on a basic level—such as a name on an email—to far more sophisticated personalisation, such as one-to- one real-time website personalisation. Most respondents have a degree of personalised activity, although this varies according to platform. Email is by some margin the most popular platform for personal- ised marketing, with only 8% of those surveyed reporting that they did no personalisation over email. The most common approach is personalised marketing by name (45%), but over a third are also personalising email marketing based on historical data and profile (39%). Website personalisation has less take-up, with a third (33%) reporting that they undertake no website personalisation efforts. Automated product recommendations (23%) and content based on profile/historical data (26%) are most commonly used.
  • 33. Digital Marketing Insights Report 2014 33 Perhaps surprisingly, with mobile only viewed as a digital market- ing priority by around a quarter of those questioned, personalisa- tion efforts over mobile are just as prevalent as with website, with only 30% saying they have no personalisation over mobile. With only 8% reporting that they provide personalised marketing via location data, however, it is unclear from this study where the spe- cific personalisation efforts are focused. It could be that respond- ents are incorporating mobile website personalisation into this category. Which personalisation techniques do you use? Data not analysed beyond the basics ers utsourced In-house analytics team 15) Which personalisation techniques do you use? is personalisation to your digital marketing efforts at present? 17) How important will personalis digital marketing efforts be in th customer analytics at your organisa % 51% 0% 10 20 Data silos Data/privacy regulations Technology challenges Internal skills and expertise Structural issues Other Cost/Budget Data quality Lack of time Confusion over ownership of data Not a strategic focus 0% 10 20 30 40 50 Website Email Mobile Display Advertising based on last item viewed None Segmented content based on profile data Content based on location Tailored content based on individual behaviour None Using name only Segmented content based on profile/transactional data One-to-one content triggered by individual behaviour None Segmented content based on profile data Automated product recommendations Tailored content based on individual behaviour 29% 27% 24% 20% 11% 0% 33% 26% 23% 18% 45% 39% 20% 8% 30% 14% 8% 5% 17%
  • 34. Digital Marketing Insights Report 2014 34 5.4.2. how important is personalisation to your digital marketing efforts? Respondents forecast that personalisation will become increas- ingly important to their digital marketing efforts. At present, 51% suggest that personalisation is very important or critical to their existing digital marketing efforts—16% report that it is either not important or of limited significance. This picture looks to increase in the near future, with 35% report- ing that personalisation will increase in priority to become critical to their digital marketing in the next two years, while those pre- dicting it will be very important also rises to 44%. How important is personalisation in your digital marketing efforts at present? Not a focus at all 16) How important is personalisation to your digital marketing efforts at prese 18) Which types of data do you include in your personalisation? Advertising based on last item view No Segmented content based on profile da Content based on locati Tailored content based on individual behavio No Using name o Segmented content based on profile/transactional da One-to-one content triggered by individual behavio Critical to business success Important Very important Of limited significance 14% 32% 6% 11% 37% Online behavioural data 59%
  • 35. Digital Marketing Insights Report 2014 35 How important will personalisation be in your digital marketing efforts be in the future (2+ years)? 5.4.3. which types of data do you use to inform your personalisation? A range of data can be used to support personalisation efforts, but indications from the survey suggest that a limited number of data sources are being applied at present. Online behavioural data (59%) is by far the most commonly used data source, while on-site search (40%) is also quite commonly used to steer personalisation. Perhaps surprisingly, given the proliferation of personalisation in email marketing, CRM data is only reported as being used by 37%. Making up the short fall could conceivably be the likes of expressed preferences (32%), demographics (29%), previously viewed items (24%) and purchase history (19%). Critical to business successImportant Not a focus at all esent? 21) Are you making use of data in real time in your channel personalisation at present? 19) What are the benefits of your personalisation work at your organisation? 17) How important will personalisation in your digital marketing efforts be in the future? Very important Of limited significance 6% 45% 2% 12% 35% 0% 10 20 30 40 50 60 70 80 Not sure Increased revenue sales Improved customer loyalty Bigger average basket size/ticket value More customer acquisition No benefit Improved marketing effectiveness/ROI Improved customer retention Improved customer experience More cross sales/up sales Improved response/conversion rates 63% 52% 52% 46% 41% 41% 41% 37% 27% 13% 3%
  • 36. Digital Marketing Insights Report 2014 36 Which type of data do you include in your personalisation? 5.4.4. what are the benefits of your personalised marketing? The increasing importance expected to be placed on personalisa- tion reflects the broad range of benefits that personalisation efforts are delivering to businesses, with over half of respondents report- ing improved response/conversion rates (63%), improved custom- er experience (52%) and improved customer retention (52%) due to personalised marketing. Elsewhere, around half of respondents also report benefits such as improved customer loyalty (46%), more customer acquisition (41%) and more cross sales/up sales (41%). A mere 3% report no perceived benefits of their personalisation efforts. 18) Which types of data do you include in your personalisation? 20) What are the barriers to delivering personalisation at your organisation? 0% 10 20 30 40 50 60 Device used Third party data Social profile/social graph data Demographic data CRM data Purchase history Previously viewed items Expressed preferences Mobile location data On-site search terms used Online behavioural data 0% 5 10 15 20 25 30 35 Other Personalisation doesn't add value Cost/budget Data quality Lack of time Structural issues None Data silos Data/privacy regulations Technology challenges Internal skills and expertise Not a strategic focus 59% 40% 32% 24% 29% 21% 19% 16% 14% 13% 37% 35% 33% 33% 33% 29% 22% 19% 16% 13% 6% 3% 2%
  • 37. Digital Marketing Insights Report 2014 37 What are the benefits of your personalisation work at your organisation? 5.4.5. what are the barriers to delivering personalisation at your organisation? There are a range of barriers to delivering personalised digital marketing. Although no dominant problem emerges, a third (33%) admits that personalisation is not a strategic priority within their organisation, hampering any efforts. Data quality is the most com- monobstaclereportedbyrespondents(34%),withathirdalsoiden- tifying associated costs (33%) as being a barrier. Other challenges cited include lack of time (33%) and technology issues (28%). 21) Are you making use of data in real time in your channel personalisation at present? 19) What are the benefits of your personalisation work at your organisation? 0% 10 20 30 40 50 60 70 80 Not sure Increased revenue sales Improved customer loyalty Bigger average basket size/ticket value More customer acquisition No benefit Improved marketing effectiveness/ROI Improved customer retention Improved customer experience More cross sales/up sales Improved response/conversion rates 11% 26%50% Yes ― using multichannel real-time decision technology Yes ― using individual level interaction data No ― don't see it as important No ― don't have access to real-time data 63% 52% 52% 46% 41% 41% 41% 37% 27% 13% 3%
  • 38. Digital Marketing Insights Report 2014 38 A sample of some of the comments related to this: • “Our data depth is too shallow to really drive personalisation— we need to improve it first and then educate the marketers on the new opportunities.” • “Our legacy systems are quite limited in what they can offer. They were built to do a job at a certain time and are not agile enough to meet cope with the demands of a personalised expe- rience for our customers.” • “We are not taking personalisation seriously.” What are the barriers to delivering personalisation at your organisation? 20) What are the barriers to delivering personalisation at your organisation? 22) Do you plan to make use of data in real time in your channel personalisation in the future? 0% 10 20 30 40 50 60 Device used Third party data Social profile/social graph data Demographic data CRM data Purchase history Previously viewed items Expressed preferences Mobile location data On-site search terms used Online behavioural data 0% 5 10 15 20 25 30 35 Other Personalisation doesn't add value Cost/budget Data quality Lack of time Structural issues None Data silos Data/privacy regulations Technology challenges Internal skills and expertise Not a strategic focus 59% 40% 32% 24% 29% 21% 19% 16% 14% 13% 37% 35% 33% 33% 33% 29% 22% 19% 16% 13% 6% 3% 2%
  • 39. Digital Marketing Insights Report 2014 39 5.4.6. are you making use of data in real-time in your channel person- alisation at present? While personalised marketing is on the increase, the tools and techniques continue to evolve, with the latest development being the emergence of real-time one-to-one personalisation. This tech- nique means that not only can marketers decide in advance the kinds of message that customers will view the next time there is contact, but they are also able to decide what personalised mes- sage to present during a live interaction. This is the most advanced form of targeting, enabling the automation and targeting of rel- evant content to consumers based on data such as their website behaviour, as well as the integration of data sources such as CRM, attitudinal and other non-online data. Of the respondents who are personalising marketing, almost half (44%) report they are doing some degree of real-time personalisa- tion at present, with 25% using individual level interaction data, 11% using multichannel real-time decisioning technology and 8% using specific website personalisation technology.
  • 40. Digital Marketing Insights Report 2014 40 Are you making use of data in real-time in your channel personalisation at present? 5.4.7. do you plan to make use of data in real-time in your channel personalisation in the future (2+ years)? But the number predicting they will be using real-time one-to-one website personalisation and offer management will rise to three- quarters (75%) in the next two years—with particular increases forecasted for the use of multichannel real-time decisioning tech- nology (up to 30%) and specific website personalisation technol- ogy (up to 20%). ion? 21) Are you making use of data in real time in your channel personalisation at present? 11% 26% 5% 8% 50% 31% 26% Yes ― using multichannel real-time decision technology al-time nology Yes ― using individual level interaction data evel data No ― don't see it as important Yes ― using specific website personalisation technology No ― don't have access to real-time data
  • 41. Digital Marketing Insights Report 2014 41 Do you plan to use data in real-time in your channel personalisation in the future (2+ years)? This work is licensed by Sift Media under a Creative Commons Attribution-NoDerrivatives 4.0 International License. Attribution Guidelines: http://creativecommons.org/licenses/by-nd/4.0/ 22) Do you plan to make use of data in real time in your channel personalisation in the future? 14% 21% 8% 31% 26% Yes ― using multichannel real-time decision technology Yes ― using individual level interaction dataNo ― don't see it as important Yes ― using specific website personalisation technology No ― don't have access to real-time data