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Data into Action: Iterable Named a Leader in Snowflake’s The Modern Marketing Data Stack, 5th Edition

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Iterable

Key Takeaways:

  • The Recognition: Iterable has achieved Snowflake Elite Tier Partner status and has been named a Leader in the “Activation and Delivery” category in Snowflake’s The Modern Marketing Data Stack, 5th Edition.
  • The Macro Trend: As AI moves closer to execution, the fundamental shift across the martech stack is transitioning away from tools that merely assist to autonomous agents that act.
  • The Business Value: Unifying Snowflake’s data platform with Iterable’s messaging engine eliminates decision latency and technical drag, transforming marketing from a traditional cost center into a high-margin profit engine.
  • The Future-Proof Foundation: By connecting Snowflake and Iterable through a secure, zero-duplication data loop, brands aren’t just optimizing today’s campaigns—they are establishing the essential data foundation required to safely fuel tomorrow’s autonomous, AI-driven customer journeys.

Enterprise data infrastructure has never been more sophisticated, yet the gap between centralized data storage and customer execution continues to widen. Many marketing teams remain held back by technical drag—stuck waiting on engineering sprints or manual CSV transfers just to act on what they know. When customer behavior is trapped behind legacy batch infrastructure, brands are restricted to rigid, reactive campaign cycles that miss immediate windows of user intent entirely.

To help organizations navigate the constantly changing data landscape, Snowflake highlights the technologies, solutions, and platforms adopted by their customers in their annual report, The Modern Marketing Data Stack 2026, 5th Edition. Marking our fourth year receiving this recognition, we are delighted to announce that Iterable has once again been named a Leader in the Activation & Delivery category.

Validated by Reality: The Snowflake Methodology

What makes this placement so significant is that it reflects real-world customer adoption. Rather than leaning on qualitative vendor surveys or subjective questionnaires, this report focuses on the actual platforms that enterprise organizations deploy to run their daily marketing operations. The year’s report is based on a 12-month analysis of usage data from more than 11,500 Snowflake customers (Snowflake fiscal year 2026: Feb 1, 2025 – Jan 31, 2026).

Within this index, Leaders represent the top-tier, established technologies that have achieved the highest adoption and usage density in their respective categories. 

Securing our position at the top of our category underscores our commitment to the forward-thinking marketers and data architects who rely on our integrated ecosystem every day to define the modern standard of customer engagement, execute high-volume data fluidity, and eliminate the decision latency holding marketing back.

The Goal: Turning Marketing Into a Profit Center Through AI-Powered Messaging

CMOs are under intense pressure to transform marketing from a cost center into a high-performance profit center. Historically, this has been an uphill battle because legacy marketing clouds quietly absorb massive amounts of manual work while causing steep operational drag. 

According to the Iterable 2026 Customer Engagement Report, 

  • 60% of marketers take 2–4 weeks to act on campaign learnings
  • 54% require 2–3 different teams just to make a change to a customer journey

In a world plagued by this level of decision latency, human-driven, rules-based campaign infrastructure simply cannot scale. According to Snowflake in The Modern Marketing Data Stack, 5th Edition, the industry is “moving from tools that assist to agents that act”. When you replace rigid triggers with a system that reasons, the operational reality changes, and marketing can turn into a true profit center that is powered by AI-driven messaging. 

This is where the synergy between Iterable and Snowflake can become a growth driver. By pairing Snowflake’s centralized data architecture with Iterable’s cross-channel activation engine, brands can completely eliminate the technical friction that stalls marketing velocity. 

When your data foundation and messaging layer are natively aligned, intelligent automation removes the engineering tax, protects sender reputation with hyper-personalized messaging, and maximizes customer lifetime value—unlocking compounding, high-margin revenue.

The Foundation: Why Strong Data Integration Powers the AI Future

Achieving this level of marketing velocity requires more than a conceptual partnership—it demands deep architectural alignment. You cannot build an adaptive, AI-driven messaging system on fragmented, delayed, or siloed data. 

To feed a system that continuously reasons and adapts, the underlying architecture must be bulletproof.

A Partnership Built for Enterprise Scale

This is where Iterable’s position in the Snowflake ecosystem becomes particularly important. Iterable’s recognition as a Snowflake Elite Tier Partner represents another critical milestone.

Representing the highest tier in Snowflake’s Data Cloud Products partner program, this designation indicates that a partner has demonstrated significant customer success and adoption with their Data Cloud Product offerings on Snowflake. 

For enterprise IT leadership, data architects, and engineering teams, this tier serves as a verified benchmark that Iterable has met rigorous performance metrics and stands as one of Snowflake’s most strategic partners in the activation space.

How the Iterable + Snowflake Data Loop Works

Instead of relying on fragile custom integrations or manual syncs, our combined infrastructure relies on a highly efficient two-way data flow. 

  • Customer data flows from Snowflake into Iterable: Marketers use Smart Ingest to securely activate comprehensive customer datasets directly from Snowflake without engineering support. 
  • Engagement data flows back into Snowflake: Rich downstream customer engagement metrics are automatically fed back into the Snowflake platform with zero-copy access via Snowflake Secure Data Share.

Why Closed-Loop Data Makes AI Smarter

This closed-loop system is precisely what makes AI-powered messaging smarter over time. When downstream engagement data—like exact click behaviors, channel preferences, and message fatigue signals—flows back into Snowflake, it continuously trains centralized data models. 

Snowflake users can process these engagement signals to update risk profiles, lifetime value predictions, and attribution models, feeding refined insights back into Iterable for subsequent customer interactions.

Rather than relying on static rules or one-time audience definitions, the system continuously learns from customer behavior and improves future engagement decisions.

Building the Infrastructure for Agentic Marketing

By securing this ecosystem alignment, enterprise brands can unlock the primitive foundation required for agentic innovation while simultaneously eliminating duplicated profile bloat and  preserving granular access governance. 

In The Modern Marketing Data Stack, 5th Edition, Snowflake highlights that “foundations that minimize data duplication and apply a single set of controls across all data types are better positioned to support both current marketing needs and future AI-driven use cases.”

Key Insights From The Modern Marketing Data Stack, 5th Edition

Building this closed-loop foundation isn’t just about optimizing today’s campaigns—it is about preparing your data infrastructure for the next major shift in enterprise marketing.

The broader market realities driving this change are explicitly mapped out in The Modern Marketing Data Stack, 5th Edition, which centers on a critical new operational mandate: governing the agentic enterprise, and building a marketing organization where AI agents operate within clear boundaries, with the right data, permissions, context and human oversight.

As marketing technology matures, leading brands are navigating specific core shifts highlighted in the report:

  • From Copilots to Orchestrators: Owned channel execution is shifting from rule-based journey builders to goal-based orchestration. LLM adoption has progressed from task-level assistance toward systems that can reason, plan, and execute multi-step workflows across channels and applications.
  • Data Gravity Pulls the Stack Together: As customer, campaign, and operational data are drawn toward a single governed source of truth, more work happens on the data platform itself rather than in dozens of downstream copies. Foundations that minimize data duplication are better positioned to support both current marketing needs and future AI use cases.
  • The Ecosystem Matures Together: Composable architectures have become the default deployment model. Individual tools now matter less than the systems connecting them, and vendors that once competed on features now compete on how well they operate within a governed data ecosystem.

Frequently Asked Questions (FAQ)

1. What is the Snowflake Modern Marketing Data Stack Report?

The Snowflake Modern Marketing Data Stack Report is an objective annual analysis that identifies the leading technologies used by Snowflake customers. Unlike traditional vendor surveys based on qualitative feedback, Snowflake evaluates actual, anonymized product telemetry, adoption rates, and customer consumption patterns across its global user base to identify category leaders.

2. What category was Iterable recognized for?

Iterable was named a Leader in the Activation and Delivery category. This category highlights technologies that enable marketers to seamlessly mobilize data out of the Snowflake AI Data Cloud and deliver optimized customer experiences across owned channels (like email, push, and SMS) and paid media channels.

3. How does Iterable integrate with Snowflake?

Iterable integrates with Snowflake via a secure, two-way data flow that avoids data replication and technical drag. Marketers use Smart Ingest to safely pull audience segments directly from the Snowflake AI Data Cloud without engineering help, while downstream campaign engagement metrics flow directly back into Snowflake using Secure Data Share to continuously train predictive models.

4. What does Snowflake Elite Tier Partner status mean?

Snowflake Elite Tier Partner status is the highest designation in the Snowflake Data Cloud Products partner program, indicating that a vendor like Iterable has achieved rigorous performance metrics and extensive customer adoption. For enterprise organizations evaluating technology partners, this tier serves as an objective benchmark proving that a platform is one of Snowflake’s most strategic ecosystem partners for high-volume data activation.

When a platform like Iterable achieves Elite Tier status, it signifies:

  • High Customer Adoption: Verified success and deep deployment scale across joint Iterable and Snowflake customer accounts.
  • Rigorous Performance Benchmarks: Successful completion of the strict technical and operational utilization criteria required by Snowflake.
  • Strategic Category Alignment: Recognition of Iterable as a trusted, top-tier solution for enterprise brands looking to maximize their data investments without friction.

The Clear Next Move

Building an adaptive system that creates tomorrow’s advantage requires an infrastructure that transforms understanding into a hyper-personalized response across every customer touchpoint. If you are ready to eliminate technical drag and maximize the return on your Snowflake AI Data Cloud investment, choose the clear path forward:

  • Explore the Integrated System: Visit our joint solutions page to learn how leading brands activate data to drive predictable lifecycle revenue with Iterable and Snowflake.