The Trust Engine: How a New Breed of CDP Is Fueling Enterprise AI

SEATTLE, WA – June 30, 2026 – In the relentless race to harness artificial intelligence, many companies are discovering a foundational, and often frustrating, truth: enterprise AI is only as good as the data it’s built on. This month, a significant report from International Data Corporation (IDC) cast a spotlight on this very challenge, and on the companies building the solutions. The report, the “IDC MarketScape: Worldwide AI-Enabled Customer Data Platforms for B2C Users 2026,” named Seattle-based Amperity a Leader, a designation that speaks volumes in a crowded, complex market. But the real story isn't just about one company's success; it's about a fundamental shift in how businesses must approach their data to make the promise of AI a reality.

The IDC MarketScape is known for its rigorous evaluation process, which combines deep quantitative and qualitative analysis to assess a vendor’s current capabilities and future strategy. For Amperity, a firm founded in 2016, being placed in the Leaders category alongside established giants is a powerful validation of its approach. According to the report, the platform is particularly vital for large B2C enterprises grappling with fragmented first-party data scattered across brands, regions, and legacy systems. This is the messy reality for most global companies, and it’s precisely where the AI dream often breaks down.

Deconstructing the Data Foundation

The praise from IDC centers on Amperity’s ability to create what the report calls a “durable customer data foundation.” This isn't just another piece of marketing jargon; it's the technical bedrock required for modern personalization. The report highlights several key strengths that set the platform apart.

First is its prowess in identity resolution. For any large brand, a single customer might appear as dozens of different data points: an in-store purchase under one email, a website visit on a laptop, a mobile app login, and a loyalty account with a slightly different name. Amperity’s platform uses a sophisticated blend of deterministic, probabilistic, and graph-based techniques to stitch these fragments together into a single, persistent customer profile. This “durable identity” is the cornerstone of trust. Without it, AI-driven personalization is more likely to be disjointed and irrelevant than helpful.

Second is the platform's focus on “data readiness.” Many data projects stall for months or even years in the preparatory phase. The IDC MarketScape notes Amperity’s ability to accelerate this process through features like automated schema mapping, data observability, and pre-built customer attributes. This allows organizations to move faster from raw, chaotic data to a clean, usable set of profiles that can actually power marketing and AI engines.

Finally, the report points to Amperity’s architectural flexibility. Its ability to perform zero-copy data sharing with platforms like Snowflake and Databricks is a critical differentiator. This means companies don’t have to rip and replace their existing data warehouses. Instead, Amperity can operate on top of their current infrastructure, reducing complexity and ensuring that the single source of truth remains governed and secure. As Derek Slager, co-founder & co-CEO at Amperity, stated, “As organizations move beyond experimentation and into production, they need data they can trust and context that's current enough for AI to make confident decisions.”

The Shift to a ‘Context Layer’

The Amperity recognition is a marker for a much broader industry evolution. The role of the Customer Data Platform (CDP) is expanding dramatically. Initially conceived as tools for marketers to unify audience data, the most advanced CDPs are now being positioned as the central “context layer” for enterprise AI.

Tapan Patel, Research Director at IDC, captures this evolution perfectly: “The next phase of B2C personalization will depend on whether a brand's customer data and context are trustworthy enough for humans and AI agents to act with the same confidence.” This is a profound statement. It suggests a future where AI agents, acting on behalf of both the company and the consumer, will need a shared, trusted understanding of the customer's needs, history, and intent.

The IDC report argues that modern CDPs must provide this context. This includes not just customer context (like purchase intent), but also organizational context (like brand voice) and decision context (how a recommendation was made). In this new paradigm, the CDP becomes the brain behind the operation, ensuring that every interaction, whether driven by a human marketer or an autonomous AI, is consistent, relevant, and built on a foundation of trust.

This is a far cry from simply building predictive models. It’s about creating a system where AI can make decisions with confidence because it has access to a complete, accurate, and real-time view of the customer. Amperity is leaning into this vision with tools like its Customer Data Assistant, which allows marketers to use natural language to build complex audience segments, effectively democratizing access to powerful data capabilities and bridging the gap between technical teams and business users.

The Tangible Impact on Customer Experience

For the more than 400 brands that rely on Amperity, including household names like Alaska Airlines, DICK'S Sporting Goods, and Wyndham Hotels & Resorts, this technology translates into tangible differences in customer experience. When a company has a truly unified view of its customers, the frustratingly impersonal nature of digital life begins to fade.

For an airline like Alaska Airlines or Virgin Atlantic, it means recognizing a loyal customer across every touchpoint—from booking to check-in to in-flight service—and offering relevant perks or support without the customer having to re-explain their history. For a retailer like DICK'S Sporting Goods, it means connecting an online browse for running shoes with an in-store visit to the athletic apparel section, enabling a level of service that feels personal and helpful, not intrusive.

In the hospitality sector, where Wyndham Hotels & Resorts operates, a durable customer identity can transform a guest's stay. It allows the brand to remember a guest's preference for a high-floor room or a late check-out, regardless of whether they booked through the website, a third-party app, or the front desk. This is the promise of personalization made real: not just targeted ads, but genuinely better, more seamless experiences.

As enterprises continue to invest billions in AI, the spotlight will increasingly turn from the glamour of the algorithm to the grit of the underlying data infrastructure. The lesson from the latest IDC MarketScape is clear: building a trusted, durable, and context-rich data foundation is no longer a competitive advantage, but a strategic necessity. It is the engine that will determine which organizations thrive in the coming age of AI-driven customer connection.