Tell the story of your customer thanks to your data and take accurate Marketing decisions.
Discover now how weBlend experts can guide you in the Data Jungle!
4. The data emergence
The amount of data collected across sources, digital or
not, become increasingly high.
!
The merge of these data sources is a powerful way to
plan a strategy in this new digital world.
!
It aimed at providing much more interesting things to
various segment, to reach a better return on investment
and offer to the customer a perfect experience.
5. #1 Tell the customer
story
By tracking the full lifecycle and
identifying all touch points
7. Data visualisation for beautiful stories
Translate data into beautiful dashboard containing a story
& take better and quicker marketing decisions
Once upon a time…
8. #2 - Leverage the
Customer Intelligence
By merging the data and creating
consolidated dashboards
9. Multiple data sources
Track the engagement and customer value and highlight trends by merging
data coming from various sources:
Web Analytics - Advertising - CRM - CMS - Apps - Marketing automation -
Testing tools - Email campaign
We do it with your tools:
10. #3 - Reach your goals
By giving the relevant content to
the right person at the right time
via the right channel
11. Translate data into insights
Drive business
Answer customer needs
Improve awareness
Build communities
Interact with your customer
Offer personalised experience
13. Data-driven culture
Training, coaching & support
Change management
Communication plan
Responsibilities
Staff engagement
IT audit & Solutions
mapping
Dashboards
Funnels
360° view
Why – Business perspectives
What – Business activities
When – Business events
How to – Business rules
14. Data analytics types
Behavioural analytics
What are people looking for?
What does your target search?
What are the sector’s trends?
Content analytics
What is the perception of your brand/organisation?
What are the negatives topics?
What is the campaign’s effect?
Website analytics
How long do users stay on your website?
How they interact with the website?
Which sources are more often used?
18. Data working
Business needs
definition
Tools selection
Data mapping
Data integration
Single Customer
view
Data visualisation
Segmentation
Customer value
Decision making
Search Engine
Marketing
Content Marketing
Social Marketing
Marketing Automation
CXM
Connect data
Translate data into
insights
Act upon data