Delivering Data-Driven Hyper-Personalization Leveraging the Power of A4T

Evolving customer expectations are posing a massive challenge for organizations. Today, customers are savvier than ever before and expect brands to convey the right message at all times. According to a survey conducted by CEI, 86% of customers are ready to shell out more for a better customer experience. And this is where Data-Driven Hyper-Personalization comes into play.

Hyper-personalization helps organizations leverage omni-channel data to deliver Data-Driven Hyper-Personalized experiences to customers in real-time. Customers in contemporary times use not less than 2-3 digital devices, such as mobile phones, laptops, or any other wearable tech devices that help businesses gather loads of information about customer lifestyle and online behavior. The key to achieve hyper-personalization lies in leveraging this data to drive personalized experiences across the customer journey.

Data-Driven Hyper-Personalization via A4T (AdobeAnalytics + Adobe Target) helps organizations provide a personalized customer experience across multiple channels and touch points. A4T enables server-to-server integration of Adobe Analytics and Adobe Target drives ROI via the data and content optimization and effectively addresses privacy issues.

Data-Driven Hyper-Personalization leveraging A4T allows marketers to optimize key metrics such as revenue, orders, applications submitted, calculated metrics in Adobe Target – virtually any metric that any organization has identified as a measure of true ROI. Data-Driven Hyper-Personalization initiatives help organizations realize more than a 40%+ improvement in site conversion KPIs.

Data-Driven Hyper-Personalization helps marketers accurately measure the entire customer journey, from a click on a display ad to an ad viewed on a connected TV, to receiving a personalized offer in your mobile app.

 

However, the data collection process of Adobe Analytics and Adobe Targetis different because of their different implementation techniques and codes, which effectively means that both platforms may collect data at different points in time. These disparate data collection approaches can lead to hours, if not weeks, of analysis, to identify the right personalization opportunities as well as accurately identify and report on the ROI of any organization’s personalization efforts.

Data-Driven Hyper-Personalization via A4T can work wonders for organizations but the significant variance in data coming from the personalization platform into the analytics platform has been a primary impediment of personalization ROI. A4T has remedied the 30% variance reporting issue, enabling customers to truly understand their personalized experience insights and optimize the ROI of their personalization campaigns.

Adobe Target might not address all business requirements; however, if an organization is looking for a closed-loop cycle of insights, testing, and optimization, then Adobe Analytics + Adobe Target is the best solution by a long way.Clearly, Data-Driven Hyper-Personalization is the new mantra for an accelerated customer experience.