Zeta Global

"Cloud-based, empowers brands, acquires and retains customers."

They provide a software platform that helps businesses grow by improving their interactions with customers; they use advanced AI to analyze consumer data and predict their intentions, personalizing experiences and promoting growth.

BlurbSTAR Case Study
Renault & Zeta Global
14% Conversion Increase with Lower Costs
10%
Initial Target Exceeded
14%
Conversion Rate Increase
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1.
Situation
Adapting Post-Cookie Challenges
Complex automotive market pressures
Necessity to adapt to post-cookie era
Critical need for user journey insights
Renault Poland faced significant challenges in an increasingly complex automotive sector, compounded by the impending demise of third-party cookies. Amid inflationary pressures, the company needed to pivot their advertising strategy to adapt to a cookie-less environment. The primary issues were understanding the user's position within the customer journey, identifying prospects ready for a purchase, and delivering omnichannel, personalized messages to convert online interactions to test drives.
2.
Task
Leveraging First-Party Data Effectively
Use first-party data efficiently
Understand and track customer journey
Deliver personalized, omnichannel messages
Renault Poland's main objectives were to utilize their first-party data beyond just website interactions for advertising campaigns. They needed to develop a strategy that would effectively understand and track the customer journey, identify ready-to-purchase prospects, and deliver personalized messages across various channels to increase conversions. This required a robust system to categorize and segment their audience to optimize media spend and enhance user experience.
3.
Action
Advanced Segmentation Strategy
Real-time scoring and AI use
Engagement level segmentation
Continuous measurement and real-time adjustments
Renault partnered with Zeta Global to leverage its advanced real-time scoring and AI technology for audience segmentation. They categorized engagement levels into low, medium, and high to deliver tailored messages based on audience interests and engagement levels. These segmented audiences were then used for retargeting across programmatic, search, and social channels. Continuous measurement and real-time adjustments based on data insights ensured optimization. This approach maximized efficiency and effectiveness, driving up conversions and enhancing user experience.
4.
Result
Increased Conversions and Reduced Costs
14% increase in conversion rate
Significant decrease in cost per conversion
Higher engagement and customer satisfaction
The collaboration resulted in remarkable outcomes for Renault. There was a 14% increase in the conversion rate, exceeding the initial target of 10%. Additionally, costs per conversion decreased significantly. The successful use of first-party data for retargeting campaigns, along with advanced segmentation and personalized messaging, allowed Renault to navigate the challenges presented by the post-cookie era effectively, yielding higher engagement and customer satisfaction.
Keywords
FIRST-PARTY DATA
POST-COOKIE ADVERTISING
AI TECHNOLOGY
CUSTOMER JOURNEY
OMNICHANNEL MARKETING
CONVERSION RATE
COST PER CONVERSION
AUDIENCE SEGMENTATION
PREDICTIVE AI
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Zeta Global
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