April 29th

Monday April 29th, 2024 | Paddington, London

MarTech London Meetup: Identity Resolution in the Post-Cookie World RSVP
What is your biggest MarTech adoption challenge?

Overcome key challenges that hinder adoption and ROI.

UPCOMING MARTECH LONDON MEETUP

APR 29: Identity Resolution in the Post-Cookie World | Paddington, London

UPCOMING MASTERCLaaS

OCT 19 LONDON:
Tealium AudienceStream
CDP MasterCLaaS. 

CDP Implementation

Now Have A CDP

Dexata helped one of the biggest global telecom companies successfully implement a Customer Data Platform (CDP) in 10 local markets. 

Industry

Telecom

Location

10+ Local Markets Globally

Solutions
Results
BACKROUND

One of the biggest telecom companies globally, operating in 15+ countries. 

To make good use of rich first-party data available to them, the client wanted help in moving from a DMP solution to CDP.

They also needed support to run the audience-management operations centrally.

Solutions

Client Needs

The client wanted assistance in transitioning from a DMP solution to a CDP to effectively utilise the rich first-party data available to them.

They also required support for centrally managing audience-management operations.

Solutions

We setup the following for this client:

STRENGTH IN NUMBERS

Business Impact

Since partnering with Dexata,  the client has been able to access greater insights and make more data-informed decisions.

0

Local markets now have a CDP successfully implemented

0 +

Use cases implemented across paid and owned channels

0 %

Increase in match rate for better customer identification and targeting

0 %

increase in conversion rate from Server-side CAPI for Meta

top
Adobe

Adobe Analytics
Adobe Target
Adobe Audience Manager
Adobe Experience Manager
Adobe Campaign Manager
Adobe Real-Time CDP

Google

Google Analytics (GA4)
Google Analytics (360)
Google Optimize
Google Tag Manager

Tealium

Tealium AudienceStream CDP
Tealium EventStream
Tealium IQ

Segment
Quantum Metric
MoEngage
CleverTap
MixPanel
OneTrust
Playrcart
VWO
Optimizely