Kochava unveils creative services workspaces on StationOne, featuring leading partners Higgsfield, Luma, and Spaceback by Rembrand. Empowering creative teams to move faster, personalize deeper, and Focus on what matters most. September 03, 2026 09:30 ET | Source: Kochava, Inc. SANDPOINT, Idaho, Sept. 03, 2026 (GLOBE NEWSWIRE) - Kochava, the leading real-time data solutions company for omnichannel outcomes, announces the expansion of StationOne by Kochava with new, purpose-built workspaces for marketers and creative professionals, powered by top AI partners Higgsfield, Luma, and Spaceback by Rembrand. The announcement signals a new era of creative workflow: one where campaign assets are not just rapidly produced and adapted, but strategically optimized for every segment, every screen, and across every channel - unlocking new value for creative teams and marketers alike. "StationOne and Spaceback turn those signals into creative that can be generated, activated, and measured across programmatic and CTV, helping marketers move..." "Our vision for StationOne is simple: unlock creative possibilities, eliminate repetitive barriers, and amplify what human teams do uniquely well," "With these workspaces, AI doesn't replace creativity - it embeds it into accelerated ad operations workflows natively." "Higgsfield exists to turn every brand's vision into personalized creative at the speed and quality modern campaigns demand. Together with StationOne, we're..." The New Creative Imperative: Speed, Fidelity, and Human Focus Modern campaigns demand unmatched speed, personalization, and creative excellence - yet creative leads and teams are still too often burdened with busy work, manual resizing, and repetitive adaptation for dozens of formats and audiences. With StationOne's new workspaces, all that changes. By seamlessly integrating industry-defining creative tools from Higgsfield, Luma, and Spaceback by Rembrand, StationOne synthesizes model-driven creative iteration directly into the workflows of activation and optimization. "Our vision for StationOne is simple: unlock creative possibilities, eliminate repetitive barriers, and amplify what human teams do uniquely well," said Charles Manning, CEO at Kochava. "With these workspaces, AI doesn't replace creativity - it embeds it into accelerated ad operations workflows natively." Higgsfield: Unmatched Customization, Effortless Asset Creation Higgsfield pushes creative boundaries further with AI-driven video and image generation built for marketers seeking distinctive, hyper-customized content. With direct integration into StationOne, creative leaders can harness Higgsfield to produce, test, and refine dynamic creative assets at scale, making true content personalization not just viable, but effortless. "Higgsfield exists to turn every brand's vision into personalized creative at the speed and quality modern campaigns demand. Together with StationOne, we're giving creative teams a faster path from idea to finished work, with each asset built for the audience it needs to reach," said Taz Patel, Vice President of Platform Partnerships at Higgsfield. Luma: Fastest Path from Idea to Impact Luma is renowned among creative pioneers for delivering game-changing speed, model-level brand intelligence, and absolute creative control. Teams can explore ten creative directions before the morning standup and deliver fifty on-brand variants by end of day. By bringing creative generation and workflow orchestration closer together, Luma and StationOne enable teams to spend less time managing processes and more time focused on strategy, storytelling, and creative development. "Creative teams are under growing pressure to produce more content, adapt campaigns faster, and maintain brand consistency across channels. By bringing Luma's generative AI capabilities into StationOne, we're helping creatives move from concept to execution more efficiently while giving greater control over the final outcome," said Caroline Ingeborn, COO, Luma Spaceback by Rembrand: Social Creative Intelligence, Built for the AI Age Spaceback's AI-native Social Creative Intelligence platform helps marketers identify what resonates with audiences, uncover competitive opportunities, and turn those insights into high-performing creative. Through its integration with StationOne, brands can generate, activate, and measure multiple creative variants across programmatic and CTV, bringing the impact of social beyond walled gardens and from insight to activation in the same day. "Generative AI makes creativity limitless, but social shows marketers what's worth making," said David Wiener, Chief Product Officer at Rembrand. "StationOne and Spaceback turn those signals into creative that can be generated, activated, and measured across programmatic and CTV, helping marketers move from insight to outcomes faster." StationOne: The Creative Orchestration Layer Marketers Demand More than a toolkit, StationOne connects marketing's critical operations - creative, analytics, attribution, and more - into a single, open, collaborative platform designed for creative excellence and team-wide productivity. By unifying leading AI partners, StationOne offers: For Creative Leads: No more creative grunt work, endless resizing, or workflow silos. Reclaim your team's energy for strategy, concept, and inspiration - unlocking outcomes at the new intersection of human vision and intelligent automation. About Kochava Kochava is the premier provider of real-time data solutions powering outcomes across every marketing channel. Our offerings support the world's most performance-focused brands and platforms in achieving measurable growth. Through multi-touch attribution, modern marketing mix modeling, end-to-end campaign management, and AI-driven workflows, all backed by our acclaimed customer success team, Kochava helps clients verify results, predict what's next, and take informed action. With a culture of customer-driven innovation, dedication to data security, and the most powerful tools in the ecosystem, Kochava is trusted by top brands to measure what matters and action strategies for growth. Headquartered in the United States, the company has offices globally. For more information, visit www.kochava.com. Follow Kochava on LinkedIn, and Facebook and X.

Mobile measurement partners in 2026: what app marketers should evaluate. Mobile measurement partners help connect app installs and in-app activity to marketing channels. In 2026, the practical choice depends on attribution methods, privacy constraints, integrations and the events a team needs to measure. A mobile measurement partner, commonly called an MMP, is a third-party service used to connect app marketing activity with measurable outcomes. It can link an ad interaction to an app install, then associate later in-app events with the campaign or channel involved. For teams trying to understand how people arrive in an app and what happens after installation, that function is central to the wider mobile technology landscape. In brief. * A mobile measurement partner links app installs, in-app events and user behavior to specific marketing campaigns or channels. * Selection criteria include technology-stack integration, mobile attribution, cross-channel measurement and privacy compliance. * Universal Ads added Adjust, AppsFlyer, Branch, Kochava and Singular as mobile measurement partners in its Business Partners Program. * Last-click attribution and multi-touch attribution assign conversion credit differently, with multi-touch harder to implement under mobile privacy restrictions. There is no evidence in the available material for a definitive ranking of the best MMPs in 2026. The more useful question is which capabilities fit a particular app, marketing workflow and privacy environment. That means looking beyond a vendor name and examining the data an organization needs, where it needs that data to go and which attribution assumptions shape the resulting reports. What a mobile measurement partner measures. According to Affise's explanation of mobile attribution, an MMP can follow the journey from an interaction with an advertisement to an app installation and later conversions. The service sits between advertisers and advertising networks as an attribution and analytics layer, allowing marketers to associate installs, in-app events and user behavior with specific campaigns or channels. The measurement path can involve several stages. A tracking link identifies campaign information when an ad is served, and a click can be logged before the user is sent to an app store. Once an app is installed and opened, the attribution system can attempt to match the installation with an earlier interaction. Events that occur after installation can then be attributed back to the original source, creating a view that extends beyond the first download. This does not make every marketing outcome certain or directly comparable across platforms. It does, however, give teams a framework for asking more precise questions: which campaign preceded an install, which users completed a defined in-app action, and which channels appear in the recorded path to that action. MMPs can also send postbacks to ad networks containing information about installations or conversion events. Why post-install events matter. An install is an important milestone, but it is not the full story of how an app is used. Branch's guidance on choosing an MMP recommends checking whether a provider can track in-app events beyond installation. That capability can help a team examine behavior after acquisition rather than treating every download as the end of the measurement process. For a consumer app, the relevant event depends on the service and the question being asked. It might be account registration, adding an item to a cart or completing a purchase. The available evidence does not establish which event is most valuable for every app. It does show why event definitions should be considered before choosing a measurement setup: a platform that stops at install cannot provide the same view as one configured to record later activity. Integration is equally practical. Branch advises organizations to consider how an MMP fits their existing technology stack, which systems need access to its data and which people need to configure campaigns or produce reports. APIs, webhooks, software development kits and connections to other marketing tools are not interchangeable details. They affect whether attribution data can be used alongside the systems a team already relies on. Attribution models require clear expectations. Attribution answers a specific question: which touchpoint receives credit for a conversion? The answer changes with the model. Affise describes last-click attribution as assigning all conversion credit to the last click before an installation. It is a straightforward model, but it does not assign credit to earlier interactions. Multi-touch attribution distributes credit across several touchpoints according to defined rules. It can offer a broader representation of a user path, but Affise notes that it is harder to implement in mobile environments affected by tracking and privacy restrictions. Neither model should be assumed to deliver universally superior results. Their usefulness depends on campaign objectives, available signals and the limits of the measurement environment. Teams should also consider deduplication. Branch identifies it as a way to check whether advertising is cannibalizing organic traffic and whether spending is being attributed correctly. This is particularly relevant when paid, owned and earned channels all contribute to an app's visibility. A report that combines channels without resolving overlaps may lead to a different interpretation than one that handles duplicated credit. Privacy and cross-channel measurement shape the choice. Privacy requirements are part of the product decision, not a final compliance check. Branch lists privacy compliance, mobile attribution and an omnichannel, cross-device approach among the questions organizations should address when assessing an MMP. Data availability, attribution methods and reporting expectations need to be considered together, especially where users interact across mobile devices and other screens. That cross-screen issue is becoming more visible in advertising workflows. In July 2026, Universal Ads announced integrations with Adjust, AppsFlyer, Branch, Kochava and Singular as mobile measurement partners in its Business Partners Program. Universal Ads said the integrations cover install measurement, post-install event tracking and campaign analytics for app advertisers using premium TV. It also said setup typically does not require an additional SDK, though that statement should not be read as a guarantee for every technical configuration. For readers evaluating MMP options, the practical takeaway is to start with the measurement plan rather than a generic vendor list. Define the events that matter after installation, identify the systems that need the resulting data, establish the attribution models that reports will use and test how privacy constraints affect each workflow. A well-defined evaluation will make it easier to judge whether an MMP supports the app's actual reporting needs without overstating what attribution can prove.