Medallia is doubling down on generative artificial intelligence as the backbone of its experience management platform.

At its annual Experience ’26 conference in Las Vegas, the company introduced a slate of new AI-powered capabilities designed to simplify data analysis, unify B2B account insights and tie customer experience metrics more directly to measurable business outcomes.

The enhancements build on Medallia’s Frontline-Ready AI, launched last year and now deployed by more than 550 global brands. The company says the new updates are aimed at removing the friction that has long separated insight from action.

“These innovations represent a significant leap forward in making sophisticated and previously out-of-reach data analysis accessible and actionable for every user across an organization,” said Fabrice Martin, Medallia’s chief product officer. “By building AI directly into the tools that employees use every day, we’re helping customers make smarter decisions, faster.”

Also Read: AI Isn’t Killing PR. Bad Measurement Is.

Conversational Analytics for the Enterprise

Among the most prominent additions is Insights Assistant, a conversational AI feature that allows employees to “talk” to their data in plain language. Rather than relying on analysts to run reports, frontline staff, managers and executives can validate hypotheses and investigate root causes in seconds.

The tool is embedded within each organization’s existing data hierarchy and permission structures, aiming to deliver answers without exposing sensitive information to public models.

Medallia also introduced Smart Topic Builder, which automates the discovery of emerging themes in unstructured text feedback. The feature is designed to reduce the manual effort required to maintain text analytics rules, while preserving human oversight to ensure explainability and accuracy.

From Insight to Execution

Beyond analysis, Medallia expanded its Action Planning tools to better link experience insights to operational change. Teams can now launch action plans directly from reports and track performance shifts in metrics such as Net Promoter Score and overall satisfaction.

By tying specific actions to measurable outcomes, the company aims to help organizations move beyond anecdotal improvements and quantify the business impact of experience initiatives.

For business-to-business customers, Medallia introduced unified Account Profiles, enabling organizations to view account-level health metrics alongside individual stakeholder interactions in a single system.

Also Read: Healthcare Marketing’s End of “Convenient Data”

Scaling Globally

The company also broadened language support for its generative AI features. In addition to English and Spanish, the platform now processes French and German, allowing multinational enterprises to standardize service insights across regions.

As companies face mounting pressure to act on real-time customer and employee signals, Medallia is positioning its platform not just as a listening tool, but as a decision engine.

The broader ambition is clear: transform experience management from a reporting function into a cross-functional system that connects feedback directly to performance — and makes AI an invisible, everyday layer of enterprise operations.

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In a fiercely competitive telecom market, Tango, a leading consumer brand under Proximus Luxembourg, faced a challenge: how to deliver personalized, omnichannel marketing in a small but fast-growing and multicultural country. With fragmented tools, siloed data and limited real-time capabilities, Tango’s marketing team found it increasingly difficult to orchestrate campaigns that resonated with customers and delivered measurable results. Moving to SAS Customer Intelligence 360, Tango has unified its marketing operations, personalized customer journeys and boosted campaign performance.

A recent use case showed a 50% increase in retention campaign effectiveness.

“This is more than a technology upgrade – it’s a new way of doing marketing,” said Marina Hellé, Head of Customer Operations at Tango. “We’re integrating new channels, working in real time and personalizing messages with greater precision. SAS Customer Intelligence 360 allows us to speak the right way, at the right time, on the right channel – with more impact and less effort.”

With SAS Customer Intelligence 360, Tango is now able to utilize:

• Omnichannel integration: Delivers seamless communication across mobile apps, websites, email, SMS and more.
• Real-time personalization: Tailors offers to individual customer behavior and eligibility, reducing frustration and increasing satisfaction.
• Operational efficiency: Centralizes campaign workflows in a single platform and reduces lead times.

SAS Customer Intelligence 360 enables marketers to create fluid customer journeys, segment audiences using diverse data sources and optimize campaigns with built-in analytics and AI. It breaks down data silos and empowers marketers to act on insights instantly.

“The ‘wow’ moment for me was realizing we could prevent customer disappointment by recognizing them on our website and only showing offers they’re eligible for,” said Hellé. “That’s a game changer for customer experience.”

Also Read: Tariffs Test How Much Price Pain Shoppers Can Take

Tango is already seeing the impact of SAS Customer Intelligence 360 in two key areas:

Smarter retention campaigns

Previously, customers nearing the end of their contracts received a paper voucher with a store-only redemption process. With SAS Customer Intelligence 360, Tango now delivers a multistep, omnichannel journey:

• Push notifications and banners in the app and website.
• Follow-up emails if there’s no interaction.
• Paper mail as a last resort.

Real-time website personalization

Tango can now identify whether a visitor is a customer or prospect and tailor the website experience accordingly. If a customer isn’t eligible for a promotion, they won’t see it – instead, they’ll receive a personalized offer or the option to sign up for future availability alerts.

“It’s a win-win: Customers get a smoother, more relevant experience, and we get better conversion rates,” said Hellé.

“By leveraging a customer engagement platform that was designed to unify disparate data sources quickly, create holistic customer profiles to derive deep customer understanding and quickly deliver personalized customer interactions in real time, it’s not surprising that Tango has seen such a strong campaign lift,” said Jonathan Moran, Head of MarTech Solutions Marketing at SAS. “Fifty percent in the telecom industry is unheard of – it’s a real testament to the SAS and Tango relationship and the joint solution they have developed together.”

Also Read: Is the Future of Personalization About More Data, or Smarter Data?

A platform built for the future

As Tango continues to evolve, the company is preparing to use SAS’ upcoming AI module for marketing, which will help them generate predictive scores – like churn risk or next-best offer – based on their own data, without transferring it to the cloud. This ensures both performance and privacy.

“With SAS Customer Intelligence 360, we’re not just doing marketing better – we’re doing it smarter, faster and more respectfully,” said Hellé. “It’s helping us stay competitive in a market where every customer interaction counts.”

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Google and PayPal announced a multiyear strategic partnership focused on advancing several commerce solutions. The collaboration will deliver innovative solutions, transforming how businesses and consumers transact across platforms and devices. Combining their expertise and scale, the companies aim to provide frictionless digital commerce experiences and set a new standard for commerce ecosystem innovation. 

“PayPal is a leader in digital commerce, and we’re excited to expand our work together to make online transactions simpler and more secure,” said Sundar Pichai, CEO of Google and Alphabet. “Through this partnership, PayPal will use our industry-leading AI to enhance services and security, and we will more deeply integrate PayPal’s innovative payment capabilities for a better experience across Google products and platforms.”  

“In this emerging world of agentic commerce, trust and innovation are key,” said Alex Chriss, President and CEO of PayPal. “Together with Google, we are leading the way for digital commerce, ensuring greater opportunities for merchants and users worldwide. We are bringing PayPal’s products and services to billions of Google users and redefining what’s possible at global scale.”   

Innovations Redefining the Future of Commerce  

Agentic Shopping and Commerce Experiences: PayPal and Google are collaborating to create new AI shopping experiences and developing standards that will help shape the future of agentic commerce across the industry. The partnership will bring together PayPal’s global payment infrastructure, data-driven personalization and trusted identity solutions, alongside Google’s AI expertise to deliver new AI experiences. The companies, along with many others, are also advocating for the adoption of best practices such as Google’s Agent Payments Protocol, a secure, open, scalable solution paving the way for the future of agentic commerce.

Broad Embedding of PayPal Solutions across Google’s platforms: PayPal’s solutions—including PayPal branded checkout, Hyperwallet and PayPal Payouts solutions—will be integrated throughout various Google products supporting best-in-class seamless experiences.

Expanded Payment Processing: PayPal Enterprise Payments will be one of the key payment providers processing card payments across products like Google Cloud, Google Ads, and Google Play, boosting PayPal’s role as a trusted, payment solution within Google’s core platforms.  

Also Read: How Retailers Are Using AI in Marketing to Drive Store Visits and Offline Sales

Google Cloud Expansion: PayPal will partner with Google Cloud to reimagine its technology foundations, applications, and infrastructure to power PayPal’s next-generation commerce and payments platform.

These product innovations from PayPal and Google help advance the intelligent agent revolution, equipping consumers, merchants, and developers with flexible tools to engage in the next generation of digital commerce. They also provide a solid foundation for ongoing innovation and collaboration between the companies and their customers, opening the door to better outcomes for the industry as new standards and opportunities emerge.

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The biggest frustration for online shoppers is a search bar that doesn’t understand them. When a shopper arrives with a specific need in mind, they are met with irrelevant results or a dead end that reads “No results found.” This isn’t just an inconvenience; it’s the critical point where a potential sale is lost.

Against an industry backdrop of website search functions that rely on rigid keyword-matching and fail to comprehend true shopper intent, Gill Capital Group, a leading retail brand development and distribution company, is proactively transforming the omnichannel product discovery experience. By harnessing generative AI (genAI), Gill Capital sets a new standard for the global brands it manages in Southeast Asia, such as H&M, ALO, and On Running.

Through Google Cloud’s AI Cloud Takeoff (AI CTO) program, Gill Capital has embarked on multiple AI innovation projects. One of them involves embedding a gen AI-powered search agent into e-commerce websites and apps (iOS, Android) for H&M Indonesia and H&M Thailand.

Built using Vertex AI Search for Commerce, this AI agent understands the true intent behind search queries in natural language, whether they’re in English or local languages. The agent can decipher a customer’s needs, even if they key in “เสื้อเบลาส์สำหรับวันอากาศร้อนชื้น” (blouse for hot and humid weather) or “tunik elegan untuk Lebaran” (elegant tunic for Eid Al-Fitr) with a typo. By focusing on the meaning of words, not just keywords, it surfaces contextually relevant results. On the backend, the agent also automatically analyzes and organizes a vast product catalog, freeing staff up from the tedious task of researching and adding keywords to each product.

Going a step further, Gill Capital is integrating a conversational agent into these platforms. Also developed using Vertex AI Search for Commerce, this agent serves as a virtual shopping assistant, surfacing personalized product recommendations through multi-turn conversation. It also helps customers with more complex tasks like checking if an item is in stock at nearby H&M stores—creating a seamless connection between digital and physical—or answering questions like, “What’s the return policy?”

After piloting these two solutions with an initial group of users, Gill Capital has validated their effectiveness in boosting engagement and sales. There are now plans to roll them out for H&M Indonesia and H&M Thailand later this year.

Victor Siow, Group Chief Data and Analytics Officer, Gill Capital Group, said: “At Gill Capital, we create innovative, localized retail concepts for brands in our portfolio to help them thrive in Southeast Asia. While search technology has advanced from keyword-matching to semantic and agentic search, many online retailers haven’t kept pace. With Google Cloud, we’re utilizing the same underlying components that power Google Search today to gain a competitive edge. By grounding best-in-class reasoning models like Gemini 2.5 Flash on company data sources, we can also ensure our AI agents provide relevant and accurate outputs. As part of our AI strategy, we’re now bringing these horizontal search and conversation use cases to other brands while pursuing new applications in key areas like supply chain optimization.”

The AI CTO program: Providing a clear pathway to enterprise AI excellence at scale

Google Cloud’s AI CTO program, organized in partnership with Digital Industry Singapore (DISG) under the Singapore Government’s Enterprise Compute Initiative, aims to establish AI Centers of Excellence (AI CoEs) within 300 digitally-mature, Singapore-based companies.

Using a proven Google Cloud framework, the program will help each participating company establish a dedicated in-house unit (i.e., an AI CoE) that will centralize AI-related expertise, resources, and governance; drive technology, process, and people transformation; and ensure AI innovation initiatives are aligned with business objectives and implemented securely and responsibly.

Each company will work with a DISG-appointed, Google Cloud-certified technical consultancy partner to establish its AI CoE. It will receive partner consultancy support, Google Cloud credits, and Google Cloud Skills Boost licenses worth up to SG$500,000 to pilot at least one minimum viable product that addresses a high-value AI use case. AI CTO is designed to help companies create, implement, and scale enterprise AI solutions that boost their competitiveness and unlock new revenue opportunities

Applications are open for the AI CTO program. Google Cloud partners appointed by DISG for the program include Accenture, Aimazing, AsiaPac, Cloud Ace, CloudMile, Deloitte, Endava, Kyndryl, NCS, NTT Data, Onepoint, OniGroup, PointStar, Searce, and Tridorian.

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Real estate marketplace Zefir has announced a €15 million fundrais,ing bringing its funding to €50 million.

Founded in 2020, the French marketplace uses AI to simplify and speed up residential property deals. By nearly halving transaction times for sellers and boosting agent revenues, it has powered more than €600 million in annualised home sales.

I spoke to Remy Fabre, co-founder and CEO of Zefir, to learn more. 

Zefir is now extending that expertise to the buy side with the launch of Europe’s first AI-powered home-search assistant, branded ZIA. It gives buyers a true digital agent in a market that had long lacked such support. 

Simplifying a long, complex, fragmented process

Buying a home is one of life’s biggest decisions, yet in France it often means sending multiple enquiries just to secure a single viewing, sifting through irrelevant listings, and worrying about missing the right property due to slow alerts. 

According to Fabre, prospective buyers are left to navigate a fragmented landscape of over 100,000 listing agents on their own. Zefir’s new assistant fills that gap, acting as a digital buyer’s agent that helps people search, compare, and decide faster. 

“We’ve simplified what is usually a long, fragmented process. Sellers start with a single price estimate.  Our AI matches their home with qualified buyers across our partner network.

This cuts transaction times in half — from ~4 months to under 2 months — while helping agents close more deals with less friction.”

“We were the first to bring AI into the selling experience in France—cutting sale times in half and helping agents boost their revenue,” shared Fabre. 

“Now we’re doing the same for buyers.  In a market where they have no agent on their side, our AI assistant gives them clarity, speed, and confidence.” 

Zefir’s AI assistant, ZIA, acts like a personal property hunter. Unlike traditional portals, Zefir doesn’t charge agents to list—so there are no paid rankings. Buyers see only the most relevant homes, right up front. 

Users gain early access to thousands of Zefir-exclusive homes, ahead of the legacy portals and can express exactly what they’re looking for, the same way you’d ask ChatGPT.

Homes sell nearly twice as fast, with Agents earning up to €100K more annually.

According to Fabre, rather than displacement, real estate agents see Zefir as an ally. 

ZIA qualifies buyers before they ever reach the agent. That means fewer time-wasting enquiries and more serious prospects. For agents, this translates into faster closings, fewer dead-end visits, and smoother negotiations. According to Fabre, “it’s not just more leads — it’s the right leads at the right time.”

Further, “instead of competing with them, we generate more qualified leads and help them close faster. Many earn up to €100K more per year with us. That’s why 4,500 professionals already work with us.”

Zefir’s platform unifies competing agents, pooling listings and buyer data, while AI streamlines the matchmaking so sellers reach the right buyers faster and agents close more deals with less effort.  On average, homes sell in just 58 days — nearly twice as fast as the national median — while agents can earn up to €100,000 more per year.

Building “the connective tissue” of European real estate

Fabre sees the role of Zefir as “the connective tissue of European real estate”: a unified network where AI makes transactions faster, fairer, and more transparent. 

“Over time, we see Zefir becoming the default infrastructure layer that buyers, sellers, and agents rely on — similar to how platforms like Booking.com transformed travel. Our ambition is continental, not just national.”

FinTech Collective led the funding, with continued support from Sequoia Capital, Zigg Capital and Heartcore Capital. Joining the round are TX Ventures and FJ Labs, global leaders in marketplace investing.

Zefir has already transformed the sell-side experience in France,” said Toby Triebel, Partner at FinTech Collective.

“With ZIA, they’re now bringing that same innovation to buyers – delivering a rare trifecta of network effects, transactional velocity, and AI-driven utility. Our conviction stems from the team’s unwavering execution and their ability to scale with precision.” 

The funding will fuel AI expansion across the platform, including ZIA and professional tools, as well as geographic growth into France’s top 15 largest cities. The company plans to double headcount by 2026, with a focus on Tech & Product.

Over the next decade, Fabre believes the biggest shift in real estate will be toward digitisation and transparency. 

“Buyers and sellers will expect the same clarity they have in sectors like travel or mobility. AI will become a standard part of decision-making— filtering, guiding, and accelerating choices.

Zefir intends to lead that shift, ensuring that people move homes with speed and confidence rather than friction and uncertainty.”

But Zefir’s ambition goes even further — Fabre sees real estate transactions at the centre of a broader ecosystem — financing, insurance, renovations, and moving services. 

“Our first focus is to nail the core transaction experience, but over time, Zefir is well-positioned to be the platform where every adjacent service plugs in. That’s where the real multiplier effect will come.

The post Zefir Raises €15M to Revolutionize Real Estate with AI appeared first on MartechView.

SAP Emarsys, the leading omnichannel customer engagement platform, has selected Halon, the provider of Composable Email Infrastructure, as its new preferred email partner. This transition to Halon Engage provides SAP Emarsys with a modern cloud-native solution that fosters new avenues for innovation, growth, and enhanced customer value.

By choosing Halon Engage, SAP Emarsys gains a modern, composable email infrastructure designed to deliver performance, flexibility, and scale. Halon’s Dynamic Email OperationsTM approach and cloud-native architecture align with SAP Emarsys’ vision for faster innovation and superior customer experience. At the same time, Halon’s cutting-edge product roadmap, AI-powered solution, and support for the latest standards will reduce development costs, improve performance, and drive operational excellence for SAP Emarsys.  

“Halon’s email infrastructure gives us exactly what we need to support our customers today while building for the future,” said Byron Pitney, Chief Technology Officer at SAP Emarsys. “The combination of composable email infrastructure, cloud-native architecture, and AI-driven innovation will help us deliver smarter, more impactful customer engagement across all industries”.

One of the major benefits of the new partnership is the ability for SAP Emarsys to seamlessly launch into new geographical markets ‘at the click of a button’,  ensuring a more scalable approach to global growth. 

“We are thrilled and honored to partner with SAP Emarsys as they modernize their email infrastructure,” said Anders Långsved, Chief Executive Officer at Halon. “By combining our Dynamic Email OperationsTM approach with Emarsys’ vision for exceptional customer engagement, we’re enabling faster innovation, deeper insights, and a more reliable, high-performing messaging solution that will deliver measurable value to SAP Emarsys’ clients”.

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For years, retailers have relied on AI-powered ad campaigns to fuel online growth. But many are now unlocking the opportunity of how digital marketing can drive offline outcomes — from store visits to in-store purchases.

In 2024, in-store sales still dominated retail, accounting for over 80% of transactions in the US and a large majority in Europe, even as e-commerce grew. Yet, consumer behavior continued to be influenced by online channels. A Deloitte holiday survey revealed that 8 out of 10 retail executives expected sales growth in both in-store and online channels, highlighting the critical role of the omnichannel approach. This underscores marketers’ challenge: connecting digital touchpoints to physical foot traffic and real-world sales. 

Leading retailers across industries — from autos to jewelry to fashion — are using AI-powered marketing on Google and YouTube to:

1. Generate offline sales leads
2. Increase in-store traffic and purchases
3. Maximize ROI with online-to-offline attribution
   

Here’s how brands are doing it today.

Generating Offline Sales Leads: From Screens to Showrooms

The challenge: Customers often show intent online but drop off before visiting a store or booking an appointment. Retailers need seamless ways to capture that intent in the moment and convert it into offline engagement.

How Kia turned YouTube into a test-drive generator
Kia used YouTube on Connected TV (CTV) to engage with premium audiences in their living rooms. Through Shoppable CTV ads with QR codes, viewers could instantly scan their TV screens to explore offers or book a test drive.

Impact: Kia India’s campaign for its Seltos SUV drove a 10X increase in site visits and a 3.6X improvement in verified test-drive leads.

This model applies globally. In the US auto sector, Cox Automotive estimates that 87% of car buyers research online before entering a dealership. Retailers who bridge this intent-action gap see faster lead conversion and higher-quality foot traffic.

Increasing In-Store Traffic and Sales: Omnichannel AI Campaigns

The challenge: For big-ticket or experiential categories like jewelry, furniture, or luxury goods, shoppers may begin online, but they almost always complete their purchase in-store. Marketing needs to guide them across both environments seamlessly.

How Pandora turned online shoppers into in-store customers
In Europe and Australia, jewelry brand Pandora used a mix of:

• Shopping ads to highlight policies and product info online
• Performance Max for store goals to drive awareness of promotions at physical outlets
• Local inventory ads to show consumers which products were available nearby, with click-and-collect options

Impact: Pandora saw a 21% YoY uplift in return on ad spend in Australia, and globally in 2023, it achieved a 220% YoY increase in offline revenue attributed to these campaigns.

Takeaway for Europe & US retailers: As inflation makes holiday spending more considered, formats like local inventory ads can close the gap between online browsing and in-store buying by emphasizing convenience, immediacy, and local stock.

Maximizing ROI: Smarter Measurement of Offline Impact

The challenge: Retailers often struggle to prove how digital campaigns impact in-store results. Without visibility into attribution, optimizing budgets is guesswork.

How Tanishq unlocked ROI clarity with store sales measurement
Tanishq, a leading fine jewelry brand, found that while most sales happened in-store, nearly all journeys began online. It used Google’s Store Sales Measurement solution to measure and optimize across this funnel.

Impact: Analysis revealed 26% of in-store sales had a Google Ads touchpoint, driving confidence to reinvest in omnichannel campaigns. This boosted store footfall and cut acquisition costs by 38%.

For US and European retailers, attribution matters more than ever: Google data shows that businesses using AI-powered store goal campaigns with offline sales measurement see ROI lifts of 20–30% on average, as they can better optimize their omnichannel spend.

The Blueprint: AI-Powered Offline Growth at Scale

To generate high-value leads:

• Use YouTube CTV with interactive elements (QR codes, shoppable formats) to capture intent and bookings directly from audiences relaxing at home.

To increase foot traffic & in-store purchases:

• Run Performance Max for store goals to drive awareness of promotions and leverage local inventory ads for convenient availability messaging.

To maximize ROI & attribution:

• Implement Store Sales Measurement to close the loop between digital ads and in-store transactions.

Key Takeaway

Even in an increasingly digital retail landscape, stores remain the heart of commerce. The winning formula for 2025 and beyond will be:

• Reach shoppers online with messages that inspire action
• Seamlessly connect digital touchpoints to nearby store visits
• Measure and optimize the full journey to maximize ROI

By blending Google’s AI-powered ad innovations with omnichannel retail strategies, businesses can turn searches into store visits, clicks into checkouts, and views into visits.

“Winning retailers see digital not as separate from physical, but as the ultimate driver of in-store growth.” — Google Retail Insights, 2025

The post How Retailers Are Using AI in Marketing to Drive Store Visits and Offline Sales appeared first on MartechView.

Instacart,  the leading grocery technology company in North America, announced a new partnership with Merchants Distributors, LLC (MDI), a leading wholesale grocery distributor, to offer Instacart’s e-commerce solutions to its network of independent grocers. Through this partnership, participating MDI independent grocers will be joining the Instacart App to offer customers same-day delivery and enabling Storefront Pro, Instacart’s premier end-to-end fully-customizable e-commerce solution built specifically for grocers.

“We’ve long admired MDI and how, for over 90 years, they have supported independent grocers with essential expertise, infrastructure, and scale, so that they can thrive and grow. It’s a privilege to team up with MDI and their retailers to enhance the guest experience with the adoption of Instacart’s platform,” said Nick Nickitas, General Manager of Independent Grocery and Mid-Market Retail Partnerships at Instacart. “Together we’ll empower leading local grocers to deliver a seamless, flexible way to shop while preserving the local connection that sets them apart in the communities they serve. We’re so proud to partner with a distributor that’s leading the way in digital transformation for independent grocers.”

“As a wholesaler, it’s important that we equip our retail partners with the ability to connect with customers however they shop,” said Mary Kellmanson, SVP Marketing at MDI. “By powering our e-commerce service with Instacart, we’re able to support our independent retailers with a comprehensive solution that gives us the merchandising flexibility we need to help our retailers grow their digital presence and better serve their communities”.

Also Read: The 4Ps of Martech Unlocking Marketing’s Tech Revolution

Storefront Pro gives MDI’s independent retail partners advanced customization capabilities and robust control over their digital storefronts, including access to data and analytic tools powered by Instacart’s technology to help identify growth opportunities. Their independent grocers will also have access to complete, full-stack fulfillment technologies to power pickup and delivery. The white-label e-commerce solution will also give MDI’s independents the ability to unlock new retail media capabilities by giving them access to Instacart Carrot Ads, enabling retailers to monetize its digital and physical footprint through a unified retail media network.

With the rollout of Storefront Pro and retailer availability on the Instacart App, MDI’s independent retail partners are positioned to bring an elevated omnichannel shopping experience to the communities they serve, while unlocking new avenues for growth and customer engagement. MDI’s independent retailers join over 600 retail banners now leveraging Instacart’s white-label e-commerce solutions.

The post Instacart and MDI Partner on Grocer E-Commerce appeared first on MartechView.

ChannelEngine, the global marketplace integration and automation platform, announced its strategic partnership with Salsify, the leader in Product Experience Management (PXM) and content syndication, to empower brands to expand their reach, optimize performance, and scale efficiently across digital marketplaces and retail channels worldwide.

This collaboration combines the strengths of two category leaders to help brands seamlessly connect rich, accurate product content with the growing universe of marketplaces and sales channels.

“Digital commerce is the primary growth engine for global brands, and the online shopping experience is directly tied to the quality of the product content,” said Julie Marobella, Chief Product Officer at Salsify. “Our collaboration with ChannelEngine ensures that our joint customers can deliver accurate and consistent product content across every touchpoint, building consumer confidence and driving sales in a rapidly evolving market.” 

Marketplaces are now the front line of commerce for global brands. According to ChannelEngine’s recent Marketplace Shopping Behavior Report 2025, 47% of shoppers begin their product discovery on marketplaces, compared to only 24% on search engines, making multichannel visibility critical to the buying journey.

Also Read: The 4Ps of Martech Unlocking Marketing’s Tech Revolution

This opportunity also brings complexity with fragmented systems, regional compliance challenges, siloed content, and manual processes that slow down growth and increase costs.

Together, Salsify and ChannelEngine offer brands a streamlined solution to:

• Enrich and localize product content through Salsify’s PXM platform, including support for GDSN standards
• Activate listings across 950+ global marketplaces via ChannelEngine’s direct integrations
• Automate operations like inventory syncing, pricing, order flows, and returns
• Track performance and optimize growth with built-in reporting and insights

ECR4Kids, a children’s furniture brand, uses Salsify and ChannelEngine to streamline content syndication, automate marketplace operations, and improve consistency across channels.

“With Salsify and ChannelEngine working together, we’ve finally been able to get our product content right and in front of customers wherever they shop. Salsify helps us keep all of our product information organized and enriched in one place, and ChannelEngine makes sure that content flows smoothly into the marketplaces we rely on. It’s taken a lot of the manual work off our team’s plate and allowed us to focus on expanding our reach and better serving our customers.” – Justin Siegel, General Manager of ECR4Kids.

Also Read: Why Enrollment Systems Fail Without an Operational Blueprint

“We see every day how shopping behavior is shifting to marketplaces,” says Jorrit Steinz, CEO & Founder, ChannelEngine. “Brands need to meet their customers wherever they are, but managing content and operations across so many channels can be overwhelming. With Salsify, we are giving brands not just the tools to manage today’s complexity, but the foundation to grow smarter and faster in a marketplace-first world.”

This partnership signals a broader shift toward modular, scalable ecommerce architecture that gives brands the agility to grow in a channel-agnostic world, where marketplaces are not just sales outlets, but strategic growth engines.

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OpenX Technologies, Inc., one of the world’s leading omnichannel supply-side platforms, announced that it has integrated with S&P Global Mobility’s Polk Automotive Solutions portfolio. This direct integration brings Polk’s measurement to the supply side for the first time, combining audience precision with supply path efficiency to deliver superior, measurable outcomes for auto marketers.

With US automotive media ad spend projected to surpass $31 billion in 2025, OpenX — through integrating Polk’s advanced analytics solutions — empowers auto buyers to measure and optimize campaigns, delivering real-time attribution tied to actual vehicle transactions. 

The integration also includes Polk’s predictive audiences, which, unlike traditional solutions that rely on sample data or modeled assumptions, are rooted in more than 30 years of ownership history and scored and trained against census-level vehicle transactions. Together with OpenX’s people-based identity graph and premium cross-inventory format, this partnership ensures greater targeting accuracy and meaningful campaign results.

With OpenXSelect, a curation and supply-side targeting platform that makes media buying easier, faster, and more precise across channels, and Polk’s 2,000+ auto segments built from a rich understanding of auto buyers, media buyers get high-fidelity offline matching, insights to optimize campaigns in-flight, and accurate closed-loop measurement and attribution across CTV, display, and out-of-home campaigns.

“Our mission is to deliver the industry’s best automotive insights and data that empowers our users to connect more effectively with their customers,” says Joe Kyriakoza, VP and General Manager Polk Automotive Solutions at S&P Global Mobility. “Integrating Polk’s automotive intelligence into OpenXSelect extends the reach and performance of Polk solutions, giving marketers the insights and scale needed to drive better business outcomes while streamlining campaign setup.”

OpenX has led curation and supply-side targeting since 2018, when it launched the industry’s first and largest independent supply-side identity graph. Today, OpenXSelect pairs premium omnichannel inventory with turnkey audience, behavioral, attention, and sustainability data and over 200,000 direct publisher sites and apps, delivering unmatched scale across CTV, native, app, and web inventory.

“This integration marks a major milestone in delivering more advanced, higher-performing tools,” said Brian Chisholm, SVP of Strategic Partnerships at OpenX. “Supply-side targeting and curation are maturing rapidly. Targeting has been a key focus for us, and the ability to measure outcomes with Polk delivers significant advertiser value.” 

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