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Creating a competitive
edge with predictive
analytics in Telecommunications
Telefonica case study
Telefonica wanted to improve its marketing processes, reduce
time spent developing and implementing campaigns and
optimize its customer interactions.
The company enacted a closed-loop process that would use
customer behavior to generate targeted marketing campaigns
that really worked.
Telefonica used call data, demographics and predictive modeling
to reach out to customers and offer them products and services that
match their needs and lifestyles.
Demographics
Call data
Predictive
modeling
Call data
Customer fatigue caused by
blanket marketing and no
personalization.
Jenny receives a text giving her
a discount for upgrading her
plan before she goes over her
minutes again.
Before After
Hi Jenny-
Upgrade
now!
Telemarketing Email
TextDirect mail
Before After
Demographics
Telemarketing
Customer fatigue caused by
blanket marketing and no
personalization.
Anthony receives a call with an
incentive to add a smart tablet
to his line.
Hi Anthony,
We have a great deal
on a new smart tablet
and data package for
you!
TextDirect mail
Email
Myra receives an email
announcing a sale on the
new phone that she’s been
researching online.
Before After
Predictive modeling
Telemarketing
TextDirect mail
Customer fatigue caused by
blanket marketing and no
personalization.
Email
What did these changes
mean for Telefonica?
increased revenue generated
from direct marketing efforts
Real business results from Telefonica/Vivo
30%
Increased sales by
on days that campaigns
are launched
Real business results from Telefonica/Vivo
5x
Real business results from Telefonica/Vivo
Increased the opt-in rate by
for customers who receive
marketing messages
through improved targeting
and segmentation
70%
Real business results from Telefonica/Vivo
Reduced marketing
campaign operating costs
by
80%
For more information download
the Telefonica case study.
For more information visit the
solution page.

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Creating competitive edge predictive analytics Telecommunications

  • 1. Creating a competitive edge with predictive analytics in Telecommunications Telefonica case study
  • 2. Telefonica wanted to improve its marketing processes, reduce time spent developing and implementing campaigns and optimize its customer interactions.
  • 3. The company enacted a closed-loop process that would use customer behavior to generate targeted marketing campaigns that really worked.
  • 4. Telefonica used call data, demographics and predictive modeling to reach out to customers and offer them products and services that match their needs and lifestyles. Demographics Call data Predictive modeling
  • 5. Call data Customer fatigue caused by blanket marketing and no personalization. Jenny receives a text giving her a discount for upgrading her plan before she goes over her minutes again. Before After Hi Jenny- Upgrade now! Telemarketing Email TextDirect mail
  • 6. Before After Demographics Telemarketing Customer fatigue caused by blanket marketing and no personalization. Anthony receives a call with an incentive to add a smart tablet to his line. Hi Anthony, We have a great deal on a new smart tablet and data package for you! TextDirect mail Email
  • 7. Myra receives an email announcing a sale on the new phone that she’s been researching online. Before After Predictive modeling Telemarketing TextDirect mail Customer fatigue caused by blanket marketing and no personalization. Email
  • 8. What did these changes mean for Telefonica?
  • 9. increased revenue generated from direct marketing efforts Real business results from Telefonica/Vivo 30%
  • 10. Increased sales by on days that campaigns are launched Real business results from Telefonica/Vivo 5x
  • 11. Real business results from Telefonica/Vivo Increased the opt-in rate by for customers who receive marketing messages through improved targeting and segmentation 70%
  • 12. Real business results from Telefonica/Vivo Reduced marketing campaign operating costs by 80%
  • 13. For more information download the Telefonica case study. For more information visit the solution page.