CASE STUDIES
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Ecommerce Client in LATAM
A DSP who runs campaigns for a leading ecommerce company in Mexico.
Goals
Retarget to out to customers who engaged with products but did not purchase with dynamic creatives instead of generics banners.
Target & Retarget
To reactivate users and drive sales.
follow & tag
To craft effective buyer persons
monitor & test
Conversions and other metrics
Performance & Results
If we were to compare Adjiva edited ads with a non personalized creative the results would be pretty convincing.
CTR increases 100%
COST METRICS decrease 60-70%
2X POSITIVE IMPACT ON ROI
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TELCO IN EUROPE
Agency who manages a telco account in Europe.
GOALS
Upsell products leveraging information known about
users from CRM dataPERFORMANCE & RESULTS
The success of the campaign was determined by comparing the perfomance of control group user (non-touched by online campaigns) and a non-control group (those who were shown dynamic creatives
The control group ARPU (Average Revenue per User) was used as a base and considered as the natural behavior of the clients if no such campaign were conducted. Then,it is compared with the non-control set to see the evolution of ARPU amoungt users who had seen dynamically personalized creatives.
Non-control Group . Control Group =15%
Touched clients perform better than the control group. -
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Ecommerce Client in LATAM
A DSP who runs campaigns for a leading ecommerce company in Mexico.
Goals
Retarget to out to customers who engaged with products but did not purchase with dynamic creatives instead of generics banners.
Target & Retarget
To reactivate users and drive sales.
follow & tag
To craft effective buyer persons
monitor & test
Conversions and other metrics
Performance & Results
If we were to compare Adjiva edited ads with a non personalized creative the results would be pretty convincing.
CTR increases 100%
COST METRICS decrease 60-70%
2X POSITIVE IMPACT ON ROI
-
-
TELCO IN EUROPE
Agency who manages a telco account in Europe.
GOALS
Upsell products leveraging information known about
users from CRM dataPERFORMANCE & RESULTS
The success of the campaign was determined by comparing the perfomance of control group user (non-touched by online campaigns) and a non-control group (those who were shown dynamic creatives
The control group ARPU (Average Revenue per User) was used as a base and considered as the natural behavior of the clients if no such campaign were conducted. Then,it is compared with the non-control set to see the evolution of ARPU amoungt users who had seen dynamically personalized creatives.
Non-control Group . Control Group =15%
Touched clients perform better than the control group.