The numbers are in, and they’re uncomfortable.
Forrester’s B2C CDP Landscape Q1 2026 — the most comprehensive independent mapping of the customer data platform market this year — found that 72% of senior marketing decision-makers consider CDPs moderately or significantly expensive to implement and maintain over three years. Most of them are struggling to justify that investment. A Customer Data Platform (CDP) collects and unifies customer data from multiple sources to create a single, comprehensive view of each customer, enabling better insights and decision-making.
This isn’t a pricing problem. It’s a value problem. And understanding why requires being honest about what most CDPs were actually built to do — and where they stop. The benefits of using a B2C CDP platform include improved data management, marketing campaigns, predictive analytics, and enhanced customer engagement. In B2C scenarios, the primary benefit is to gather information about existing customers to generate actionable insights, creating a unified, persistent view of each customer and enabling consistent personalization across every channel and data-driven decisions.
When customer data platforms emerged, the job to be done was clear: centralize customer data, break down data silos, enable storage of unified customer profiles, and make that data available to the rest of the martech stack. Data ingestion pulls information from diverse sources, including websites, mobile apps, CRMs, and POS systems. Feed the email platform. Feed the personalization engine. Keep the data clean, consistent, and accessible.
That was genuinely hard work, and CDPs did it well. CDPs unify customer data by resolving identities into persistent profiles, which involves validating, cleaning, and deduplicating data from multiple sources. These unified customer profiles are created through identity resolution, which stitches together different identifiers such as email addresses, device IDs, and loyalty numbers into a single, persistent customer profile using both deterministic and probabilistic matching techniques. But here’s the issue — that job is largely done. Core CDP functionality has matured and standardized. And as Forrester notes, the market has started to consolidate around vendors with established credibility and traction.
In a mature, consolidating market, doing the same job everyone else does isn’t a differentiator. It’s a commodity. A standalone data layer, however well-built, is an infrastructure cost waiting to be challenged at budget time.
Forrester identifies the defining market trend clearly: B2C CDPs are expanding their remit beyond traditional data transit tasks with advanced decisioning and orchestration capabilities, including omnichannel journey orchestration for consistent messaging across platforms such as email, SMS, and in-store systems. Solutions like imagino’s exemplify this evolution, offering robust profile unification and multichannel activation to help brands collect and unify first-party customer data.
That shift matters more than it might sound.
A CDP that moves and stores data is infrastructure. A platform that uses that data to make decisions — that orchestrates the full customer journey, determines the next best action, and executes interactions across channels — is a growth engine. With features like analytics, reporting, customer segmentation, dynamic segments, and the ability to launch targeted campaigns, these platforms enable personalised marketing at scale and deliver measurable efficiency gains. Predictive AI and analytics provide actionable scores to proactively engage high-value customers. The business case looks completely different, as operational efficiency allows marketing teams to build segments and launch campaigns without IT support. Dynamic segmentation and personalisation enable the creation of micro-segments based on real-time behavior, while hyper-personalisation delivers tailored content based on a customer’s entire history. CDPs are now essential for enhancing B2C customer engagement, shifting from simple data storage to real-time activation. They enable personalised marketing, improved data accuracy, and better segmentation to drive customer loyalty and ROI. The ROI conversation changes, with efficiency and reporting becoming central to measuring impact and long-term success. The stakeholders who care about it change, as the ability to execute targeted, personalised marketing at scale becomes a key differentiator.
This is why the value realisation gap exists. Most organisations bought a data layer. The market has moved on. The gap between what the CDP was purchased to do and what the business now needs it to do is where implementations stall, costs become hard to justify, and marketing teams find themselves stitching together point solutions to fill the gaps.
In today’s fast-paced digital landscape, real-time data insights have become a cornerstone of any effective customer data platform (CDP). By unifying customer data from a multitude of sources, a modern data platform empowers marketers to gain a comprehensive view of customer interactions as they happen. This real-time perspective enables businesses to spot emerging trends, adapt to shifts in customer behavior, and make data-driven decisions that keep them ahead of the competition.
When combining CDP and Customer Engagement Platforms capabilities, marketers can segment audiences with precision and deliver timely, relevant messaging that resonates with customers’ current needs and preferences. For example, imagino’s Customer Engagement Platform helps brands like Club Med and Diptyque harness valuable insights into customer behavior, allowing them to personalize experiences and drive higher engagement. The ability to access and act on real-time insights doesn’t just improve campaign performance—it directly impacts revenue growth and customer loyalty.
Ultimately, leveraging real-time data insights through a unified platform ensures that businesses can respond proactively to customer trends, optimize their marketing strategies, and unlock the full potential of their customer data.
At imagino, we’ve approached this differently from the start. Rather than building a standalone CDP and asking marketers to connect it to separate engagement tools, we built customer data capabilities directly into a Customer Engagement Platform. This enables real-time, personalized outreach through email messages, text and push notifications, and other direct engagement methods. The data layer and the activation layer are the same system, allowing seamless activation across channels. A visual representation or image of this architecture can help clarify how unified data and activation work together—consider reviewing such a diagram to better understand the process.
That architectural choice was deliberate. Data without activation is a cost center. Activation without reliable, unified data is guesswork. The value — the ROI that justifies the investment Forrester says most teams are struggling to realize — lives at the intersection of the two, where activation enables marketers to engage users directly and drive deeper relationships. When your Customer Engagement Loop is split across multiple vendors, the process slows down, reducing your agility and learning capability.
An embedded CDP means your customer profiles, segmentation, decisioning, and journey orchestration all operate from a single unified data foundation. Efficient query capabilities are essential for real-time decision-making and performance. The process of identity resolution involves validating, cleaning, and deduplicating data to create a unified customer view that updates in real time as users interact across various channels. This is critical for ensuring that AI agents have access to complete and accurate customer profiles, enhancing the effectiveness of automated marketing decisions. The most advanced CDPs, and so Customer Engagement Platforms, utilize AI-driven decisioning to automate the process of determining the optimal action for each customer, further enhancing engagement effectiveness. No synchronization lag. No audience discrepancies between systems. No data engineering tickets to run a campaign.
Marketers get self-service access to customer data and the tools to act on it in the same platform, enabling onboarding and engagement of individual users across multiple touchpoints.
As the volume and complexity of customer data continue to grow, effective data management and security have become non-negotiable for any organization leveraging a Customer Data Platform. A robust system must seamlessly collect, store, and process data from diverse sources—including CRM systems, social media, and other platforms—while maintaining the highest standards of security and data integrity.
Key to this is implementing advanced security measures such as encryption, access controls, and rigorous data validation protocols. These safeguards protect against data breaches and unauthorized access, ensuring that sensitive customer information remains secure. Additionally, features like matching and identity resolution are essential for consolidating data from multiple systems, eliminating duplicates, and maintaining accurate, up-to-date customer profiles.
By prioritizing data management and security, businesses not only comply with regulatory requirements but also build trust with their customers and protect their brand reputation. Platforms like imagino’s exemplify this approach, enabling organizations to connect and activate customer data from every touchpoint and providing a single source of truth for all customer interactions. This foundation empowers marketers to make informed decisions about marketing spend and strategy, ultimately unlocking the full potential of their customer data platform.
If you’re a B2C business, CDPs now offer affordable, entry-level options for use cases like email personalisation and customer segmentation, making AI-driven marketing accessible to organisations of all sizes. Smaller businesses can utilise CDPs for targeted solutions, starting with simple, tailored approaches that fit their needs and budgets.
Forrester’s findings point to three questions worth asking honestly:
It’s important to note that B2B CDPs must handle complex relationships between accounts and individuals, requiring a clear model of how different contacts relate to each account. In contrast, B2C CDPs focus on individual consumers, simplifying data management and personalisation efforts.
Forrester also identifies agentic AI as the top disruptor for the B2C CDP category — the opportunity to dramatically expand scope and impact on marketing. With advanced intelligence, agents accelerate implementation, surface insights, and trigger next best actions without waiting for a human to build a workflow. These intelligent agents close the distance between customer data and customer experience in real time.
In B2B contexts, CDPs must model complex relationships between accounts, companies, and contacts, which is less of a concern in B2C scenarios. As of 2021, 34% of B2B organisations plan to use a customer data platform (CDP) compared to 19% of B2C companies, reflecting the more complex and longer sales cycles in B2B. In B2B, CDPs are often central to account-based marketing strategies, providing insights into prospective customers, while B2C CDPs focus on generating insights related to existing customers.
For this to work, the data foundation has to be solid. Resolving multiple CRM records into a single, unified customer profile is essential for accurate identity resolution and effective AI-driven engagement. By leveraging real-time data insights, CDPs allow marketers to anticipate customer needs and deliver hyper-personalised experiences, which are crucial for effective customer engagement. The embedded CDP architecture isn’t just a current advantage. Platforms like imagino demonstrate how unified data, intelligence, and AI integration form the foundation that makes the next generation of AI-driven engagement possible.
The CDP market is not standing still. The cost and complexity pressures Forrester documents are real — but they’re not inevitable. They’re the result of platforms being used for the job they were designed for five years ago, not the job that creates value today.
The teams getting the most out of their customer data investments aren’t doing more with their existing setup. They’re asking a different question: not “how do we get more out of our CDP?” but “what should our customer engagement platform actually be doing for us — and is the data foundation strong enough to support it?”
That conversation is worth having.
imagino is an AI-Optimised Customer Engagement Platform with an embedded CDP, identified by Forrester and mentioned in its latest B2C CDP Landscape Q1 2026. We work with B2C marketing teams to unify customer data and activate it directly — no stitching, no lag, no data engineering bottleneck.
Ready to talk through what this means for your customer engagement strategy? Please reach out.
Based on Forrester’s B2C CDP Landscape Q1 2026, authored by Joe Stanhope. Used under licensed reprint agreement.
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