The full 127-page "Martech for 2026" report from Scott Brinker and Frans Riemersma is here, and we're uploading the entire thing so you can read or download it directly. No form, no gate, no hoops. We're proud to support this work. Scott and Frans set the standard for martech research, and this report is essential reading for anyone planning their 2026 strategy. 7 major subjects covered: 💎 The hype-free reality of SaaS & AI in martech 💎 3 types of AI agents in marketing (only one is disruptive) 💎 Context engineering in marketing & data sources in use 💎 A spectrum of deterministic & non-deterministic automation 💎 Practical application of "vibe coding" in marketing 💎 "The Factory" vs. "The Laboratory" in martech management 💎 Value engineering > GTM engineering in Marketing Ops 3.0 No techno-jargon. Plain language explanations and visual illustrations backed by the latest data from their AI & Data in Marketing survey. Our CPO Rafa Flores put it best: "If you're a CMO and you're looking at 2026, I highly recommend that you sit your team in front of you and tell them that it's not about replacing them. It's about making sure that they have the right tools to succeed and embracing AI, as scary as it may sound to some folks. If done right, it can really change things for you." Dive into and download the full report.
Treasure Data
Software Development
Mountain View, California 23,009 followers
Power hyper-personalized experiences with the AI Marketing Cloud. Data, intelligence, and activation in one platform.
About us
Treasure Data provides global brands the trusted data foundation and intelligence to know and engage every customer with hyper-personalized experiences. The company’s Intelligent CDP, AI Agent Foundry, and AI Marketing Cloud together form the AI-enabled marketing platform to help companies reduce total cost of ownership and power revenue growth through more relevant engagement and AI decisioning.
- Website
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https://www.treasuredata.com
External link for Treasure Data
- Industry
- Software Development
- Company size
- 501-1,000 employees
- Headquarters
- Mountain View, California
- Type
- Privately Held
- Founded
- 2011
- Specialties
- Data Acquisition, Data processing, Advanced Analytics, Customer Data, Customer Data Platform, Marketing, 360 Customer View, 360 Customer Platform, Data Management, Analytics, Big Data, Business Analytics, Marketing Analytics, Analytics Software, PII, SaaS, CDP, Customer Experience, and Digital Marketing
Products
Treasure Data AI Marketing Cloud
Customer Data Platforms (CDP)
Drive outsized outcomes at a fraction of the cost. Empower your marketing team with an intelligent platform that unifies customer data, AI, and personalized, cross-channel engagement.
Locations
Employees at Treasure Data
Updates
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We're proud to be named a Leader in G2's Winter 2026 reports for both Enterprise CDP and Mid-Market CDP. These recognitions reflect what our customers experience every day: unified customer data, AI-powered activation, and real-time personalization that drives measurable impact. To everyone who took the time to share your experience on G2, thank you. Your feedback helps us keep building what matters most. If you're a Treasure Data customer and want to share your perspective, we'd love to hear from you. Leave a review and receive a $25 USD gift card: https://lnkd.in/gSP87unD
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NRF 2026: Retail's Big Show is coming up January 11-13 in New York City, and Treasure Data will be there in force. Visit us at Booth #5357 (Level 3) for: 💎 Demos of AI Marketing Cloud 💎 In-booth lightning talks throughout the event 💎 See how real-time personalization and cross-channel orchestration work at retail scale Catch our sessions: Big Ideas Session (January 12 at 1:30pm): "The Ultimate Customer Experience: Hilton & Universal Music Group's Data & AI Journeys." Our CMO Karen Wood moderates a conversation with Holly Moreland from Hilton and Shailesh Mohanty, MBA from Universal Music Group on how two global giants transformed their customer journeys with data and AI. AWS Tech Talk (January 11 at 2:40pm at AWS Booth #4438): Michele Nieberding 🚀 presents "From Data Chaos to AI Magic: Supercharging Customer Experience." Learn how an AI-first, data-trust approach turns marketing teams into "superhumans" with an actionable blueprint you can use without writing a single line of code. Book a meeting: Want to discuss your customer data and AI strategy one-on-one? Schedule time with our team while we're there. See you in NYC: https://lnkd.in/g2Jhpivb
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This holiday season, our team partnered with Ronald McDonald House Charities to bring comfort and joy to critically ill children and their families who are away from home during the holidays. Our team showed up in a big way. Employees donated Lego sets, walkie talkies, musical toys, warm jackets for families, baby sleepers, and essentials that help make the holidays a little brighter for kids facing difficult times. The Comfort & Joy drive collects toys, basic necessities, and household goods throughout the season for families staying at Ronald McDonald Houses. These are families spending the holidays in hospitals instead of at home, and small gestures make a real difference. Thank you to everyone at Treasure Data who participated, whether you're near one of our offices or fully remote. This is what it means to be part of a team that cares beyond our work. If you'd like to participate this holiday season, you can shop the Ronald McDonald House Charities Comfort & Joy Amazon Wish List. Items ship directly and support families with toys and essentials: https://lnkd.in/gSpC-izb
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Three years ago, Jim Denny and Daryle Powers had a vision. Unify customer data across Cedar Fair parks to deliver "frictionless fun" for millions of guests every year. Then they threw a merger with Six Flags into the mix. In this conversation from CDP World, Jim (VP of Digital Experience), Daryle (VP of Marketing), and Christine Vance Roux from Merkle walk through the reality of transforming customer experience at scale. 💎 The disagreements on approach. 💎 The unexpected complexity of bringing two billion-dollar tech stacks together. 💎 The three-month sprint to get Treasure Data stood up. This isn't a case study with a neat bow on it. It's year two of a five-year journey, and they're sharing what they wish they'd known at the beginning. Watch the full conversation: https://lnkd.in/gqUs4Z6S
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You're drowning in dashboards that tell you everything and nothing. Or you're waiting days for a data analyst to answer your questions. When decisions can't wait, you need insights you can trust. Our latest blog introduces the Deep Insights Agent, built to empower non-technical users to ask strategic questions of governed CDP and first-party data without waiting for technical teams. What it solves: Time-to-insight shrinks from days to minutes. It analyzes your entire CDP and first-party data ecosystem, revealing trends, patterns, and opportunities automatically. You can perform deep analysis, get answers quickly, and leverage activation hooks that move you from insights to action, including segment creation and journey tweaks without switching tools. If you're responsible for making data-driven decisions quickly, this agent is for you. Read the full blog: https://lnkd.in/gBKstJQD
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Meet Anna Huang, Senior Software Engineer on the AI team at Treasure Data, based in Toronto. Anna’s been with us for three years, mainly working on AI Agent Foundry, contributing to the development of core AI-powered experiences across the platform. On a typical day, Anna balances hands-on coding with collaboration and documentation. She develops proofs of concept, conducts code reviews, and partners closely with product, engineering, and QA to move features from concept to delivery. One area Anna particularly values is project planning and cross-team coordination. She enjoys breaking down ambiguous problems, clarifying priorities, and translating ideas into actionable plans — helping teams move faster and with confidence. Clear communication and shared understanding are key to building reliable systems at scale. Her most-used AI tool? Claude Code. She treats it as an engineering assistant for exploring ideas, debugging, and refactoring, helping her think through complex logic more efficiently. Anna keeps a Nelson Mandela quote close: “It always seems impossible until it’s done.” That mindset shows up in how she approaches complex AI systems, one proof of concept at a time. Want to join Anna and the team? We’re hiring engineers who solve hard problems. Explore open roles: https://lnkd.in/gRkcz7dK
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Figuring out which marketing channels actually drove conversions shouldn't take weeks of manual analysis. But for most teams, it does. Our new blog introduces the Multi-Touch Attribution Agent, built to solve exactly this problem. It generates reports that evaluate channel contribution and support budget optimization using advanced models like Markov and Shapley. The challenge: 💎 The typical customer journey includes social media, emails, website visits, SMS, and more. When data is fragmented across CRM, marketing automation, ads, and BI tools, determining true ROI can take weeks. And when you think you've got it figured out, the numbers conflict. What makes it different: 💎 Built on the Diamond Record for unified, trusted customer data. Delivers fast, actionable insights with enterprise-grade security and governance. Agent output can be reviewed, edited, and instantly deployed. If you're responsible for determining marketing channel mix and showing ROI, this agent is for you. Read the full blog: https://lnkd.in/gRn6s4Ay
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The CDP market is projected to grow from $2.65 billion to $12.96 billion by 2032. So why won't most of the 200+ vendors survive the next 24 months? Ask any CDP product manager at a mid-sized vendor what keeps them up at night. It's not competition. It's the mathematics of survival. Every state privacy law adds months of engineering work. Every AI feature competitors launch resets the baseline. Meanwhile, B2C companies citing CDPs as the center of their martech stack dropped from 26.9% to 17.4% in just one year. Consolidation is already underway. The only question is whether you saw it coming. Read the full analysis.