Learn how can CDPs help you achieve more with less!

How can CDP help to drive Marketing across different stages?

Superior Marketing Outcomes

o Personalization: CDP helps break data silos and unify data from multiple sources, ensuring consistent and relevant data by coordinating every interaction with members — across the web, mobile, email, and call centers. Impact: With unified and updated data, businesses can tailor every user’s experience separately, thus engaging the users more effectively.

o Grow Share of Wallet (Next Best Action): CDP can set up campaigns as per personalization based on users’ behavior and suggest the next steps automatically.

Impact: Financial firms can better understand members’ digital interactions and can suggest “Next Best” actions, products and services to the customer through the right channel, and with the right message at the right time.

o Re-engage abandoners: CDP can enable businesses to track the point of users’ disengagement to enable the customization of the users’ journey accordingly.

Impact: Financial firms can combine event-level data with visitor-level data to understand when customers have abandoned a loan inquiry and re-engage them in real-time.

o Trigger Communication: With a central hub of real-time visitor data, CDP helps deliver “in-the-moment” marketing and customer support through the creation of automated data flows and rules.

Impact: A help window can be triggered to complete an action wherever a customer is experiencing anomalies, thus improving the customer’s overall engagement and experience.

Cost Savings:

o Geographic Targeting: CDPs can empower you to enrich visitor profiles with geographic data — ensuring that marketing dollars are only spent on visitors you can serve.

Impact: Create audiences of visitors from locations outside your boundaries and suppress them from marketing campaigns

o Customer Segmentation: Unsupervised Machine Learning techniques like clustering can provide customer segments based on behavioral data.

Impact: Utilize the marketing budget more effectively by targeting customers better with customized campaigns.

Operational Efficiency & Effectiveness:

o Identity Resolution: CDPs can help stitch visitor data together in a single, unified profile.

Impact: Stitches customer profiles with unique identifiers to a single profile in real-time and helps improve operational effectiveness by combining information from multiple visits of a single user.

o Predictive Scoring & NPS: CDP can manage a high volume of high-quality customer data flowing in the CDP + Machine learning product and can help predict customer action.

Impact: Improves operational effectiveness by predicting the audience’s likelihood to convert, abandon based on a 360-degree customer profile.

o Predictive Model for Complaints: Feature engineering and machine learning techniques of a CDP can accurately predict the complaints beforehand for customers who have complained earlier.

Impact: Resolving the complaints before they are raised can make operations better prepared to deal with complaints and thus retaining the customers.

o Integrating CRM & Sales Insights: Identifying key interactions with end-users and ingesting Clickstream data into CRM can help in displaying client interactions for sales/advisors to draw insights.

Impact: Sales teams in organizations can benefit from the insights from CRM, especially on user interactions and clickstream analysis. Mapping website visits to actual end-users can help streamline the operations and reach out to them more effectively.