Our CDP Solutions Deliver

Single Customer View

Unified identity across CRM, web, app, call center, and offline sources.
Consent by Design

Centralized consent management and privacy-compliant governance.
Real-Time Audiences

Behavioral, intent, and predictive segmentation on the fly.
Activate Everywhere

Seamless activation to marketing automation, personalization, and analytics platforms.
Built for Adobe RT-CDP

Native integrations with Adobe RT-CDP and composable martech stacks.

Strategy and Implementation

Unlock your CX platform's full potential

Program Management

Create project roadmap, define milestones, and outline deliverables for a smooth rollout.

Integration

Martech / CRMs / ERPs / Payment gateways like Adobe, Hubspot, SalesForce, Lead Squared, SAP, Oracle , Paypal and other bespoke apps

Platform Assessment

Assess current platform and advise on viability, rationale & fitment

Solution Architecture

Design the overall technical architecture for platform, considering scalability, performance, security, and integration requirements

Turn data into real-time customer intelligence.

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YOU MAY NEED TO KNOW

Frequently Asked Questions

What is the core problem that a Customer Data Platform (CDP) aims to solve?

Customer Data Platform (CDP) addresses the problem of fragmented customer data. While customer data is considered a valuable asset, its spread across various sources (like CRM, web, app, call center, and offline) leads to "broken experiences" for customers. CDP’s main goal is to unify this disparate data.

What is the primary outcome of unifying customer data with a CDP?

The primary outcome of unifying customer data with a CDP is the creation of "unified customer profiles." These profiles transform raw data into "actionable profiles" that can "fuel every interaction" with the customer, leading to "real-time customer intelligence."

How does a CDP enable real-time personalization?

A CDP enables real-time personalization by first building unified customer profiles and then leveraging "real-time audience segmentation." This segmentation utilizes "behavioral, intent & predictive data" to define specific customer groups, allowing for tailored experiences in real-time.

What types of data sources can a CDP integrate to build unified profiles?

A CDP can integrate a wide range of data sources to build unified profiles, including "CRM, web, app, call center & offline sources." This comprehensive integration ensures a holistic view of the customer across all touchpoints.

What is the significance of "real-time audience segmentation" within a CDP?

"Real-time audience segmentation" is significant because it allows businesses to dynamically group customers based on their current "behavioral, intent & predictive data." This agility is crucial for delivering highly relevant and timely personalized experiences, moving beyond static customer segments.

How does a CDP integrate with existing marketing technology (martech) infrastructure?

A CDP integrates with existing marketing technology (martech) infrastructure through "seamless activation across marketing automation, personalization & analytics platforms" and specifically mentions "native integrations with Adobe RT-CDP & composable martech stacks." This ensures the unified data can be utilized by other tools in a business's ecosystem.