Additional Customer Insights:
Through the fusion of data from several sources, Autowoven enables you to move beyond the level of surface-level client data. We assist you in integrating data from batch and real-time sources, giving you a thorough understanding of your clients, by utilizing the strength of Adobe Experience Platform. This all-encompassing strategy enables you to develop deeper understandings of customer behavior, tastes, and wants, enabling you to make data-driven decisions and offer tailored experiences that appeal to your target market.
Higher Conversion:
Customer data management and analysis can be challenging, particularly when it is dispersed across several systems. By offering a central location for consumer data within Adobe Experience Platform, Autowoven streamlines this procedure. We provide straightforward access, effective data management, and fast analysis by combining and structuring your data. This enables you to swiftly gain insightful information, make wise choices, and enhance conversions.
With Autowoven, start your CDP journey:
To optimize the value of your CDP, Autowoven provides the following detailed 6-step deployment plan:
Data Gathering
We closely collaborate with your systems and departments to gather both batch and real-time/streaming data. Clickstream data from a variety of sources, such as web, mobile, and cloud apps, as well as information from the ERP, CRM, and ETL ecospheres, are included in this.
Lake Ingestion of Data:
By evaluating and preparing your client data to comply with Adobe Experience Platform criteria, we assure its integrity. Our solution architects collaborate with you to construct real-time customer profiles, identify datasets, and design XDM schemas as part of data mapping and injection procedures.
Services & Single Customer Profile:
The Customer Profile Management (CPM) module in Adobe Experience Platform is used to combine customer profiles. You can successfully establish and manage client profiles thanks to this. We establish real-time data synchronization with other systems utilizing APIs and design criteria for data segmentation and collection. In order to ensure responsible processing of client data in accordance with pertinent rules, we also make use of AEP's data governance and privacy capabilities. Once the single customer profile is created, we construct services around it, including scheduled queries, bespoke queries using the Query Service API, and dashboard interaction with BI tools.
With the campaign:
We combine audience profiles with Adobe Campaign or Marketo in order to take advantage of the intelligence provided by Adobe Experience Platform. We give your marketers the tools they need to expand personalization by creating segmentation and targeting rules based on customer profile data. In order to facilitate efficient message distribution, we additionally create unique campaign workflows and integrate with email delivery platforms. Optional integration with Adobe Journey Optimizer is offered for a complete, end-to-end solution.
Delivery of the Message and Feedback Loop:
With the use of Autowoven, you can set up Adobe Campaign to send messages via SMTP, Amazon Simple Email Service (SES), Mailgun, SMS, and customized app messages, among other delivery channels. We make sure that your mass emails are sent to users effectively, and our interface with Adobe Experience Manager (AEM) makes it possible to reuse templates and graphic assets to maintain brand compliance.
The ability to more precisely and pertinently personalize experiences and content to specific clients is referred to as improved customization. Businesses can collect and analyze information on client habits, tastes, and demographics by developing a more thorough grasp of their target market. With the use of this data, businesses can develop highly customized and targeted experiences that connect with customers on a deeper level.
Businesses can present content, recommendations, and offers that are tailored to the individual requirements and interests of their clients with enhanced personalisation. Companies can develop thorough consumer profiles by utilizing data from a variety of sources, including transaction history, browsing habits, social media interactions, and demographic data. These profiles offer insightful information about consumer preferences, allowing firms to segment their clientele and offer specialized services through several touchpoints.
Additional Customer Insights:
By utilizing advanced analytics and machine learning approaches, enhanced consumer insights involve getting a deeper understanding of customer behavior, preferences, and demands. Businesses can develop a comprehensive understanding of their consumers by merging data from numerous sources, including CRM systems, internet interactions, social media, and third-party data.
Businesses can learn important information about their consumers by seeing patterns, trends, and correlations in the data with improved customer insights. Businesses can derive valuable information and forecast customer behaviors and preferences by implementing analytics and machine learning algorithms. These insights help businesses create data-driven decisions and focused strategies for acquiring, engaging, and keeping customers.
In contrast to a conventional CDP, AEP RT-CDP processes and stores client data in real-time rather than in batches. This enables companies to deliver customised and pertinent experiences using the most recent customer data.
AEP RT-CDP can be utilized with both on-premises and cloud-based systems, yes. To facilitate data sharing with on-premises systems, it offers a range of integration techniques, including APIs, connectors, and custom integrations.