When Snowflake, the AI Data Cloud giant, releases its annual Modern Marketing Data Stack report, the industry pays attention. The 2026 edition has spotlighted StackAdapt as a "company to watch" in the coveted Activation & Delivery: Paid Channels category—putting the programmatic ad tech player on the radar of marketers looking to supercharge their campaigns in an AI-first era.

Why This Matters

Snowflake analyzed marketing tech adoption patterns across more than 11,100 customers to map out which tools are shaping data-driven growth. The results paint a clear picture: AI, privacy, and data integration are no longer optional—they’re the backbone of modern marketing. Landing on Snowflake’s radar means StackAdapt is now grouped with platforms solving some of the industry’s biggest headaches: fragmented data, inefficient targeting, and measurement blind spots.

StackAdapt’s Angle

For StackAdapt, the recognition is validation of its strategy to give brands fast, secure ways to activate data across paid media channels. Yang Han, co-founder and CTO, put it bluntly: “Our work with Snowflake empowers marketers to activate data securely, efficiently, and at scale.” In other words, think less data drag, more precision targeting.

The company has been building momentum by helping brands unify audience insights and deliver campaigns with greater speed and accuracy. In a landscape where programmatic buying is increasingly automated by AI models, StackAdapt’s alignment with Snowflake suggests it’s gearing up to compete with bigger rivals by leaning into scale and agility.

Snowflake’s Stamp of Approval

Snowflake’s CMO, Denise Persson, noted StackAdapt’s “growth with Snowflake” as key to its recognition, highlighting its ability to meet “the ever-evolving needs of marketers.” Translation: the collaboration is less about buzzwords and more about real-world adoption, which has become the true differentiator as brands demand ROI over hype.

The Bigger Picture

Being named in Snowflake’s report doesn’t just hand StackAdapt bragging rights—it places the company within a shortlist of vendors shaping the next wave of AI-powered advertising infrastructure. With privacy tightening and competition heating up, the combination of StackAdapt’s paid channel focus and Snowflake’s AI Data Cloud could prove a timely advantage.

As marketers wrestle with how to blend personalization, compliance, and performance, StackAdapt’s recognition suggests its tools may help strike that balance. For a company that already pitches itself as the future of programmatic, Snowflake just gave it another layer of credibility.

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When Snowflake calls you a leader, it’s not faint praise. In its freshly released Modern Marketing Data Stack 2026 report, the AI Data Cloud heavyweight has crowned Alteryx a category leader in Analytics & Measurement for Business Intelligence.

The recognition places Alteryx in rarefied company—Snowflake’s report analyzed martech and adtech usage patterns from over 11,100 customers to identify which platforms are truly reshaping marketing workflows in an AI-driven world.

Why Alteryx Stood Out

AI and analytics are the backbone of modern marketing, but what separates contenders from leaders is how well they fuse accessibility with scale. That’s where Alteryx shines. Its no-code/low-code platform has long been popular with business analysts who want to slice and dice data without writing SQL scripts, and now its expanded partnership with Snowflake takes that capability a step further.

Enter Alteryx Live Query, now in public preview. The integration allows users to view, prep, and analyze Snowflake assets directly from the Alteryx One Platform—without pulling data out of the cloud. The result: no wasted time shuffling datasets, lower egress costs, and tighter governance controls. In practice, it means data scientists and marketers alike can query massive datasets, in real time, with speed and security intact.

As Alteryx CPO Ben Canning put it, the honor “underscores the power of our partnership with Snowflake and how we help teams adapt quickly, deliver more personalized experiences, and fuel transformation.”

From Marketing Theory to Practice

Alteryx isn’t just talking the talk; customers are walking the walk. Belgian telecom provider Telenet swapped out legacy CRM tools for the Alteryx + Snowflake combo and reported campaign build times slashed by 90%. Analysts saved six hours per week, freeing up bandwidth for hyper-personalized campaigns that improved NPS reach and delivered measurable impact.

That’s not just efficiency—it’s a competitive edge in a market where speed and personalization are non-negotiable.

Alteryx’s Own Test Case

Interestingly, Alteryx also eats its own dog food. Its marketing team pairs Snowflake data with Alteryx workflows and even integrates ChatGPT to craft data-driven campaigns at scale. CMO Michelle Huff noted the stack enables them to “quickly generate opportunities that drive pipelines and produce personalized content at scale.”

In other words, Alteryx is its own best case study.

The Bigger Picture

The Snowflake recognition validates what the industry has been seeing: data gravity is real, and the most valuable tools are the ones that let teams work with data in place, at speed, without forcing IT bottlenecks. Alteryx provides the user-friendly layer; Snowflake delivers the horsepower underneath.

For enterprises still drowning in siloed workflows, this partnership offers a template for modernization. And as AI-powered personalization, compliance, and performance measurement continue to collide, expect more marketers to take note of the Alteryx-Snowflake stack.

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When Snowflake releases its Modern Marketing Data Stack report, it’s more than a victory lap—it’s a glimpse into where marketing technology is headed. In its 2026 edition, Snowflake has named Domo a Business Intelligence (BI) “One to Watch”, highlighting the company’s ability to deliver real-time insights and measurable ROI in an AI-first marketing landscape.

Why It Matters

Snowflake analyzed the tech stacks of more than 11,100 customers to identify which tools marketers are actually using to power growth. The report spans 13 categories, from analytics to activation, and underscores how AI, privacy, and data consolidation are rewriting the martech and adtech playbook. Landing on the list signals that Domo is gaining traction among enterprise marketers looking to cut through data sprawl.

What Sets Domo Apart

Domo’s AI-powered data products platform earned recognition for helping companies get a live pulse on campaign performance, customer behavior, and marketing ROI—without compromising governance or scalability. That speed is crucial in a world where a stalled data pipeline can mean missed opportunities and wasted ad spend.

Mark Boothe, Domo’s CMO, pointed to the Snowflake partnership as a key differentiator: “Being recognized once again speaks to our deep collaboration with Snowflake, enabling customers to seamlessly integrate, transform, and analyze their data without losing governance or scalability.”

Snowflake’s Stamp of Approval

Snowflake CMO Denise Persson framed Domo’s recognition as proof of its growing relevance in BI: “Domo’s growth with Snowflake has led to its recognition as a key technology to watch, delivering solutions that address the ever-evolving needs of marketers.”

In other words, marketers aren’t just buying into Domo’s dashboards—they’re betting on its ability to turn sprawling datasets into something actionable, fast.

The Bigger Picture

For Domo, the “One to Watch” label is more than marketing kudos. It positions the company within a competitive BI field that includes Tableau, Power BI, and Looker—all of which are racing to blend AI-driven insights with usability. Domo’s recognition suggests it’s carving out a niche by pairing Snowflake’s AI Data Cloud muscle with its own simplified, business-user-friendly interface.

With enterprises under pressure to prove ROI on every dollar, BI tools that can unify marketing data and surface insights in real time aren’t just nice-to-have—they’re survival tools. And Snowflake’s nod indicates that Domo is inching closer to the top tier of platforms enabling that shift.

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Cannabis retail has a loyalty problem—and Flowhub thinks it has the solution. The dispensary growth platform today rolled out Marketing Suite, a new set of built-in tools designed to help cannabis retailers retain customers, boost loyalty, and generate predictable revenue at a time when acquisition costs are climbing and margins keep getting thinner.

The stakes are high: Flowhub’s own data shows that loyalty members spend 3.5x more annually than non-loyalty customers. That math makes retention marketing less of a “nice to have” and more of a survival strategy in a hyper-competitive cannabis market.

Loyalty, Meet Tech

At its core, Marketing Suite folds marketing functions into Flowhub’s POS system, tapping real-time first-party data to power targeted campaigns. That’s a big deal in an industry hamstrung by SMS restrictions and regulatory hurdles around customer outreach.

Some of the standout features:

• Clean, compliant data: All customer information stays in Flowhub POS, ensuring campaigns start from accurate, regulated foundations.

• Smart segmentation: Retailers can target one-time big spenders or lapsed customers (say, anyone who hasn’t shopped in 60 days) instantly.

• VIP loyalty passes: Customers can add a dispensary loyalty card to Apple or Google Wallet, unlocking perks, geo-targeted reminders, and push notifications.

• Push notifications: Direct-to-lock-screen messaging sidesteps SMS bans while delivering 90%+ visibility—without requiring an app download.

• Email marketing: A drag-and-drop editor lets retailers send personalized campaigns tied to loyalty status or purchase history.

• Attribution baked in: Campaign performance links directly to POS sales data, giving retailers a clear view of ROI and lifetime value.

Why It Matters

Cannabis retailers have long struggled with fractured tech stacks—POS systems here, loyalty programs there, and compliance software bolted on top. Flowhub’s pitch is simplicity: one central system that unifies POS, payments, ecommerce, and now marketing.

Kyle Sherman, Flowhub’s founder and CEO, framed it bluntly: “We’re building tools that go beyond compliant transactions to truly power dispensary growth.”

The Bigger Picture

The timing of Flowhub’s move is strategic. With acquisition costs rising across retail—cannabis or otherwise—marketers are shifting dollars toward retention, personalization, and owned channels. In mainstream retail, Starbucks and Sephora have built empires on loyalty programs. Cannabis retailers, by contrast, have had to contend with fragmented platforms and compliance bottlenecks.

By marrying real-time POS data with native marketing tools, Flowhub is effectively betting that cannabis dispensaries can run their customer engagement programs with the same sophistication as Fortune 500 retailers—just with higher compliance stakes.

And for an industry that has to fight twice as hard to reach customers, that might be the kind of advantage that separates the dispensaries that thrive from those that merely survive.

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Hevo Data just earned a spotlight in Snowflake’s Modern Marketing Data Stack 2026, landing the designation of “One to Watch” in the Data Integration category. For a relatively young ELT player, that’s no small nod—especially when it comes from Snowflake, the AI Data Cloud company reshaping how enterprises think about data.

Why It Matters

Snowflake’s annual report is widely read as a roadmap for the tools and platforms shaping the next wave of marketing and advertising technology. This year, it analyzed the usage patterns of more than 11,100 customers to identify the tech stack components most essential for marketers. Being included—even as one “to watch”—suggests Hevo is gaining traction with real-world users in a crowded integration market.

What Hevo Brings

Hevo Data pitches itself as a no-bottleneck ELT platform, unifying data from over 150 sources into Snowflake and other destinations. By removing engineering overhead, the company claims it can help marketing and analytics teams cut time-to-insights while prepping for an AI-heavy future.

• Integration without pain: Flexible ELT pipelines designed for non-engineers.

• Future-proof strategy: “AI-ready” data preparation aligned with the Snowflake AI Data Cloud.

• Cost efficiency: Reported customer savings of up to 85% in infrastructure and 50% in ELT costs.

That last stat comes courtesy of a Senior Data Manager at ThoughtSpot, who also cited a 30–35% increase in analytics adoption across teams since implementing Hevo with Snowflake.

The Bigger Picture

Data integration might not sound sexy, but it’s the backbone of AI-driven marketing. With customer data scattered across SaaS tools, CRMs, and ad platforms, clean pipelines into an AI-ready warehouse are table stakes. Rivals like Fivetran, Stitch, and Informatica are already entrenched in the space. Hevo’s recognition by Snowflake signals it’s elbowing its way into that conversation, positioning itself as the “cost-effective” alternative.

As Snowflake’s CMO Denise Persson put it: “Hevo Data’s momentum with Snowflake is a testament to their ability to address the fast-changing needs of modern marketers.” Translation: in a year when AI and data privacy dominate every boardroom agenda, efficiency and flexibility are the new differentiators.

Final Take

Being named “One to Watch” isn’t the same as being a category leader—but it’s often how the next leaders start. If Hevo keeps building on its Snowflake partnership, it could move from “watch” to “must-have” in the next iteration of the Modern Marketing Data Stack.

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In a move that blends old-school with new-school, PostcardMania has launched PCM Integrations, a Salesforce Marketing Cloud add-on that lets businesses trigger personalized direct mail alongside their digital campaigns. The pitch? Make it as easy to drop a postcard into a customer journey as it is to send an email.

For a $119 million marketing tech company with nearly 400 employees and a 75,000-square-foot Florida print facility, it’s a natural next step. But the timing is what really makes this interesting: while digital ads drown in saturation, direct mail is enjoying a renaissance. According to industry data, 95% of recipients engage with mail at least once, while a majority admit they’re burned out on email and social media.

A Tangible Touchpoint in the Digital Journey

PCM Integrations allows Salesforce users to automate direct mailings triggered by customer behaviors or milestones—say, a purchase, webinar attendance, or even a lapse in engagement. Think of it as omnichannel marketing with a tactile edge.

• Enterprise use cases: A streaming service could cap off a national campaign with postcards containing a QR code for a new subscription tier.

• Mid-market plays: A financial advisor might send a three-piece mail sequence to webinar attendees who haven’t booked a consultation.

• Small business wins: A follow-up postcard after a consultation, complete with a limited-time discount, could seal the deal.

The formats are flexible too: postcards, letters, brochures, and snap-apart mailers—all printed and mailed within 24–48 hours, no outsourcing required.

Competing for Attention

Direct mail may sound analog, but its integration into Salesforce Marketing Cloud puts it squarely in the modern MarTech stack. Compared to SMS (which faces compliance headaches) and email (which risks low engagement), physical mail feels novel again. PostcardMania also removes the common barriers to adoption: no subscriptions, no setup fees, no onboarding charges—just per-piece pricing.

Joy Gendusa, PostcardMania’s CEO, summed up the value proposition: “Adding direct mail to your customer journey is as fast and easy as sending an email.”

Why It Matters

This move underscores a broader trend: offline channels are being reimagined as performance marketing tools when coupled with CRM data. PostcardMania’s integration brings direct mail into the same workflow as digital campaigns, making it another lever for personalization and retention. Competitors in the marketing automation space—from Iterable to HubSpot—are already experimenting with similar offline-to-online bridges. PCM Integrations could push Salesforce marketers to take a second look at print in 2026.

Final Take

PostcardMania’s bet is that businesses don’t want to choose between online and offline—they want both, in sync. By embedding direct mail into Salesforce’s workflows, PCM Integrations could give marketers one more way to cut through digital noise with something consumers can hold in their hands.

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GrowthLoop, an AI-driven marketing acceleration platform, has earned a spot as “One to Watch” in Snowflake’s Modern Marketing Data Stack 2026, spotlighting its growing influence in activation and delivery for owned channels. The recognition underscores GrowthLoop’s push to combine real-time data, AI, and omnichannel marketing into a seamless experience.

What Makes GrowthLoop Stand Out

At the heart of the recognition is GrowthLoop’s Compound Marketing Engine, which leverages enterprise data in Snowflake to power intelligent Growth Agents. Built with a composable architecture integrated natively with Snowflake—and powered by Snowflake Cortex AI and OpenAI—the platform allows marketers to:

• Build highly targeted audience segments

• Orchestrate omnichannel customer journeys

• Continuously analyze performance data in real time

The result? Marketing teams can accelerate campaign cycles, act on insights instantly, and achieve measurable outcomes without waiting for slow IT cycles.

Industry Context

Snowflake’s annual report reviewed data from over 11,100 organizations to spotlight technologies transforming marketing and advertising, analyzing how AI, data gravity, and privacy regulations are shaping the modern martech landscape. GrowthLoop’s nod positions it among tools enabling marketers to act faster, smarter, and with greater precision.

Chris O’Neill, GrowthLoop CEO, emphasized the value of the integration: “Our partnership with Snowflake empowers teams to unlock the full potential of their data, fueling smarter campaigns and driving compounding growth.”

Snowflake CMO Denise Persson added: “GrowthLoop enables marketers to activate and optimize their campaigns directly within the Snowflake AI Data Cloud, helping them experiment and iterate at scale.”

Measurable Impact

Early adoption demonstrates real-world benefits. Clients like Indeed, NASCAR, and HBSE are already using GrowthLoop to break down silos, automate lifecycle campaigns, and measure performance across owned channels. By integrating deeply with Snowflake, GrowthLoop gives marketing teams the agility to iterate quickly, optimize campaigns dynamically, and scale results securely.

The Takeaway

In a marketing landscape increasingly dominated by AI and data-driven decision-making, GrowthLoop’s recognition signals a shift: owned channels can be just as agile and measurable as paid media when powered by integrated AI and real-time data. With Snowflake at its core, GrowthLoop is helping enterprises move from static campaigns to continuous, compounding growth.

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MAI, an AI platform for performance marketing, is officially launching its flagship product alongside a $25 million Seed funding round led by Kleiner Perkins. The startup, also backed by Gaorong Ventures and UpHonest Capital, aims to put enterprise-level digital ad capabilities into the hands of small and mid-sized businesses.

The platform’s secret sauce? AI agents that autonomously manage Google Ads, optimizing campaigns 24/7 and learning each business’s unique products, audience, and goals. Early adopters report 40% higher sales, and MAI already manages millions in monthly ad spend for brands like Dreo, DrWoof, Flamingo, NutritionFaktory, Patpat, Velotric, and Vivaia.

Solving a Pain Point for SMBs

Digital advertising is a growth engine—but also a minefield for smaller teams. Fragmented channels, time-consuming campaign management, and opaque agency fees leave many SMBs struggling to scale profitably. MAI’s agents address these issues by:

• Automating Google Ads management: Campaign setup, monitoring, and adjustments happen without human intervention.

• Optimizing in real time: Budgets, bids, and creatives are tuned continuously to maximize ROI.

• Adapting to each business: AI agents learn from your unique data rather than applying generic rules.

• Detecting issues instantly: From stockouts to broken codes, problems are flagged before they waste ad spend.

• Scaling efficiently: Thousands of products and creative variations can be managed simultaneously.

Co-founder and CEO Yuchen Wu framed the challenge: “Advanced advertising tools have historically been out of reach for small and mid-sized businesses. MAI’s agents do the heavy lifting so business owners can focus on growing their companies.”

Market Opportunity

E-commerce continues to expand at roughly 8% annually, even surpassing pre-Covid peaks, while customer acquisition becomes more competitive and costly. Direct-to-consumer brands and consumer apps are increasingly reliant on paid search and display ads, yet often lack the in-house expertise to manage campaigns effectively. MAI positions itself as an accessible, autonomous solution, effectively giving SMBs “enterprise-level ad teams” without the overhead.

Early testimonials underscore the value proposition. Mike Bires, CEO of NutritionFaktory, noted: “With MAI we can see clearly that the ads just work. The impact to the business is felt almost immediately.”

Kleiner Perkins partner Josh Coyne added: “MAI’s approach is bold and refreshingly pragmatic. The combination of deep ad platform expertise and empathy for growth businesses sets them apart.”

The Takeaway

MAI is betting that AI can level the playing field in digital advertising. By automating complex campaign management and real-time optimization, it gives SMBs a competitive edge previously reserved for enterprise players—an especially compelling proposition as digital ad spend continues to dominate growth strategies.

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