Download - WeBlend, Data-Driven marketing partner
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.
Customer journey tracking
Interest
Purchase
Experience
Interaction
Priority
Advocacy
Acquisition - Retention - Value
Data visualisation for beautiful stories
Translate data into beautiful dashboard containing a story & take better and quicker marketing decisions
Once upon a time…
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:
#3 - Reach your goals
By giving the relevant content to the right person at the right time via the right channel
Translate data into insights
Drive business
Answer customer needs
Improve awareness
Build communities
Interact with your customer
Offer personalised experience
Data-driven culture
Training, coaching & supportChange managementCommunication planResponsibilitiesStaff engagement
IT audit & Solutions mappingDashboardsFunnels360° view
Why – Business perspectivesWhat – Business activitiesWhen – Business eventsHow to – Business rules
Data analytics types
Behavioural analyticsWhat are people looking for?What does your target search?What are the sector’s trends?
Content analyticsWhat is the perception of your brand/organisation?What are the negatives topics?What is the campaign’s effect?
Website analyticsHow long do users stay on your website?How they interact with the website?Which sources are more often used?
Digital Analytics Maturity
As-is
To-be
Wave 1
Wave 2
Wave 3
Wave 4 Analytics vision PeopleSolutionsProcess
Assessment Planning
Analytics roadmap
Delivery
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