A solution designed for the finance sector
needs to:
 |
Efficiently manage marketing, advice,
sales and support services with an
integrated CRM approach |
 |
Produce customer and product
intelligence and disseminate it to
people and systems that interact with
clients |
 |
Improve front office effectiveness with
the support of analytical information
about client behaviours, profitability
and potential value |
 |
Synchronise analytical and operational
CRM activities with a closed loop
approach |
 |
Increase marketing effectiveness, via
personalised, multi-channel campaign
management |
 |
Automate and personalise service and
support for each customer segment and
business channel |
 |
Optimise the value chain to reduce costs
in client acquisition, retention and
servicing |
Financial institutions require advanced
analytical and
CRM solutions that are able
to translate operational information into
sales-oriented intelligence to improve sales
force performance and increase client
satisfaction.
Finantix Marketing & Analytics allows
organisations to:
| |
Campaign execution |
 |
Activate campaigns with automatic
generation of opportunities, worklists,
to-do's, web prompts |
 |
Track campaign status and ongoing
activities |
| |
Campaign tracking
and analysis |
 |
Analyse campaigns and measure redemption |
 |
Report campaign results by channel,
type, area/branch, product |
 |
Measure and analyse ROI |
The Product Recommendation
Engine is an innovative and powerful tool
that allows Financial Institutions to
transform customer's insight information
into sales-oriented intelligence and
decision support input by:
 |
Optimizing cross/up-selling business
rules |
 |
Personalizing product recommendation and
advice |
 |
Building automatic segmentation models |
 |
Generating campaign targeted lists and
opportunities prompts |
For more details on the
Product Recommendation Engine please refer
to specific marketing collateral.
All Finantix Marketing & Analytics
components work both with data and
information managed within the Finantix data
marts and/or within the financial
institution's information structures by
leveraging pre-existing marketing
information systems, client information
databases and enterprise data warehouses.