Kochava provides a data-driven platform for mobile attribution and marketing analytics that helps advertisers and publishers measure how their campaigns perform across channels and devices. Its real-time analytics suite tracks user interactions, offers attribution, reporting, and features like perpetual user deduplication. The Kochava Media Index helps clients discover advertising partners and diversify campaigns. Its goal is to reduce wasted ad spend and improve marketing effectiveness by delivering accurate attribution and scalable data solutions.
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Total Funding
$5M
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Sandpoint, ID
Founded
2011
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Kochava has added token cost controls to the Enterprise Tier of StationOne, its AI hub for marketers. The company says unpredictable AI spend is a major barrier to scaling agentic AI in large organisations. An auto router sends each task to the cheapest suitable model based on complexity. Administrators can set token or dollar budgets by user or team, with alerts when usage nears or exceeds limits. New plugins run audience deduplication and segmentation as low-token code instead of passing data through large language models. StationOne also lets users run compatible models on their own machines. "Teams need to know not just what AI can do, but what it's costing them to do it, task by task," said Charles Manning, founder and chief executive officer of Kochava.
Kochava adds enterprise controls to StationOne to help marketers rein in AI costs. New auto-routing, budget governance, and embedded model support help marketing teams scale agentic AI without runaway token spend. October 22, 2026 09:30 ET | Source: Kochava, Inc. SANDPOINT, Idaho, Oct. 22, 2026 (GLOBE NEWSWIRE) - Kochava, the leading real-time data solutions company for omnichannel outcomes, today announced a major token efficiency expansion within the Enterprise Tier of StationOne, its integrative AI hub for marketers. The new capabilities give enterprises fine-grained visibility and control over AI usage costs - from automatic model routing based on task complexity to real-time budget alerting at the individual and team level - addressing one of the biggest barriers to scaling agentic AI across large organizations: unpredictable and opaque token spend. "With the token efficiency features made available in the new Enterprise release, we're giving enterprises the same financial discipline over AI spend that..." "We built StationOne so marketers could put agentic AI to work on real campaigns, not just experiment with it," "As adoption scales inside an organization, cost visibility becomes just as important as capability. Teams need to know not just what AI can do, but what it's..." "With the token efficiency features made available in the new Enterprise release, we're giving enterprises the same financial discipline over AI spend that..." As marketing teams increasingly rely on large language models (LLMs) to automate campaign workflows, audience management, and reporting, the cost of running those models at scale has become a growing concern for enterprise budget owners. StationOne by Kochava has released new Enterprise features focused on token efficiency which are designed to solve this directly, pairing deterministic, code-based execution with AI orchestration so teams get the benefits of agentic AI without paying LLM-level costs for tasks that don't require LLM execution. "We built StationOne so marketers could put agentic AI to work on real campaigns, not just experiment with it," said Charles Manning, Founder and CEO, Kochava. "As adoption scales inside an organization, cost visibility becomes just as important as capability. Teams need to know not just what AI can do, but what it's costing them to do it, task by task." Key capabilities in the Enterprise Offering include: * Auto Router - Automatically routes each AI engagement to the most cost-appropriate model based on task complexity, as managed through enterprise account settings - ensuring teams aren't paying premium model pricing for simple tasks. * Per-User and Per-Team Budget Allocation - Enterprise admins can set token or dollar-based budgets by user or team, with configurable overrides and automatic reporting when usage approaches or exceeds set thresholds. * Personal Analytics UI & Alerting - Individual users get a transparent view into their own AI usage: what tasks they're running AI against and what each is costing on a token or dollar basis, both current and projected. * Enterprise Token Reporting Linked to Tasks - Reporting rolls up token usage across individuals and teams, tied specifically to the business tasks being performed - not just raw chat conversation logs - giving leadership clearer ROI visibility. * Audience Management Plugin - A new plugin removes the need to pass high-volume audience data through LLMs at all. Instead, the harness executes deterministic, low-token code for audience deduplication, appends, reductions, and segmentation, with the AI model simply orchestrating execution rather than processing the data directly. * Calibrated Decision Plugin - Calibrated decision-making tasks can now be routed through a new native plugin (TypeSafe - Jev is initially supported) as a lower-cost plugin alternative to full model usage for calibrated decisions and scoring, reserving LLM calls for the scenarios that truly need them. * Embedded Model Support - StationOne now supports the optional ability to run compatible AI models directly on a user's own machine. Users can select an appropriate model based on their available hardware and performance needs, while administrators retain the flexibility to support a broader model strategy across the organization. By keeping eligible workloads local, teams can reduce dependence on externally hosted inference, limit token consumption for routine tasks, and give privacy-sensitive workflows an additional execution path without sacrificing the unified StationOne experience. "With the token efficiency features made available in the new Enterprise release, we're giving enterprises the same financial discipline over AI spend that they already apply to media spend: route intelligently, set budgets, see usage in real time, and only pay premium model costs when the task actually demands it," continued Manning. 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.
ChatGPT free tier is getting visual ads during AI image generation. Oct 5, 2026 OpenAI is testing a visual ad format during image generation on ChatGPT's free tier in the U.S. supported by brand safety guardrails and new tracking partnerships with DoubleVerify and Kochava. This move expands monetization options for ChatGPT's 1.2 billion weekly users while keeping paid subscribers ad-free. Waiting for ChatGPT to build an image for you is about to look a little different if you use the free version. OpenAI is launching a test in the U.S. later this month that puts visual picture ads right under the progress box while your AI-generated image renders. With this move, OpenAI is trying to make more money from its massive crowd of 1.2 billion weekly users, particularly those who don't pay for a monthly subscription. How image ads will work for free users. This new test only hits free users, so if you pay for Plus, Pro, or Enterprise, you won't see any of this. When you ask ChatGPT to draw something, a clear sponsored banner pops up below the progress bar to show off products or services related to what you might like. OpenAI was quick to point out that these visual ads sit completely separate from your generated art. Plus, the company insists that ads won't ever change or influence the actual answers ChatGPT gives you. Smart guardrails and new tracking tools. To convince bigger brands to spend money here, OpenAI is giving advertisers better ways to track their results. Partnerships with tracking companies like Kochava, AppsFlyer, and Triple Whale will help businesses see if someone actually bought a product after clicking an ad inside ChatGPT. At the same time, OpenAI is trying to protect user privacy. They are working with DoubleVerify and Integral Ad Science to build guardrails that block ads from popping up during emotional, sensitive, or personal chats. Crucially, these safety partners won't get to read your private conversations while checking if the guardrails work. Smaller ad space compared to Google. Even with pretty pictures, OpenAI still runs into a basic numbers problem compared to classic search engines. People submit about 2.5 billion prompts a day on ChatGPT, while Google handles around 15 billion daily searches. Since ChatGPT only shows one ad spot at a time, available ad space is pretty limited. Still, with new European regulations forcing OpenAI to publish a public library of all its ads starting in January, adding visual banners is a big step toward making ChatGPT a real player in online advertising.
Kochava has launched StationOne MMP Workspaces for select mobile measurement partner providers and native Model Context Protocol connectors for Adjust, AppsFlyer, Branch, and Singular. The purpose-built workspaces allow marketing, analytics, and growth teams to use AI-powered tools within their existing MMP platforms without migrating data or changing workflows. The workspaces were developed through collaboration with practitioners from each MMP community, designed around how teams actually work within their chosen platforms. Each workspace connects directly to its corresponding MMP through a dedicated MCP connector, maintaining platform-specific data structures, terminology, and reporting conventions. The solution includes enterprise-grade governance controls for security and compliance, whilst offering an intuitive interface for non-technical users. The StationOne MMP Workspaces for Kochava, Adjust, and AppsFlyer are now available in the StationOne Workspace Gallery.
Kochava Adds Workspaces and MCP Connectors for MMP Providers on StationOne for Adjust, AppsFlyer, Branch, and Singular. Augmenting industry-leading tools for its own customers, Kochava releases dedicated workspaces and native MCP connectors, to meet marketers where they already work - putting people, not platforms, at the center of marketing orchestration. September 30, 2026 09:30 ET | Source: Kochava, Inc. SANDPOINT, Idaho, Sept. 30, 2026 (GLOBE NEWSWIRE) - Kochava, the leading real-time data solutions company for omnichannel outcomes, today announced the launch of StationOne MMP Workspaces for select MMP providers (Appsflyer and Adjust) and native MCP Connectors for Adjust, AppsFlyer, Branch, and Singular. Rather than forcing marketing, analytics, and growth teams into a single, generalized environment, the Appsflyer and Adjust workspaces are purpose-built around the associated native Model Context Protocol (MCP) connector for their respective mobile measurement partners (MMPs), giving teams a tailored, AI-powered experience wherever they already do their work. "With the MMP Workspaces, we're not asking teams to change tools or consolidate onto one partner. We built dedicated workspaces and MCP Connectors for MMP's..." "Marketers don't operate in a single-vendor world, and they shouldn't have to choose between the MMP their team already uses and the AI capabilities that can..." "With the MMP Workspaces, we're not asking teams to change tools or consolidate onto one partner. We built dedicated workspaces and MCP Connectors for MMP's..." "Marketers don't operate in a single-vendor world, and they shouldn't have to choose between the MMP their team already uses and the AI capabilities that can..." "Marketers don't operate in a single-vendor world, and they shouldn't have to choose between the MMP their team already uses and the AI capabilities that can make them faster and smarter," said Charles Manning, Founder and CEO at Kochava. "With the MMP Workspaces, we're not asking teams to change tools or consolidate onto one partner. We built dedicated workspaces and MCP Connectors for MMP's so StationOne meets marketers exactly where they are." Interoperability at the Core The MMP Workspaces are designed around interoperability as a first principle. In addition to the existing workspace for Kochava, providing curated workspaces for Adjust and AppsFlyer and the pre-integrated MCP Connectors for Adjust, Appsflyer, Branch, and Singular, Kochava gives teams a dedicated, native environment for the MMP they already use without requiring them to migrate data, standardize on a single vendor, or rebuild existing workflows. Each workspace connects directly to its corresponding MMP through a purpose-built MCP connector, ensuring teams get an experience tailored to the specific data structures, terminology, and reporting conventions of their platform of choice. A Human-Centered Approach Each workspace was shaped through direct collaboration with practitioners from its respective MMP community. Rather than building one generalized tool and asking every team to adapt to it, Kochava designed three distinct workspaces and four MCP Connectors, each reflecting the real workflows of the teams that use them, from campaign performance reviews to fraud investigation to attribution reconciliation. The result is a set of tools built around how people actually work within their chosen MMP, reducing manual busywork and freeing teams to focus on strategy and decision-making. Accessibility for Every Team Kochava built each MMP Workspace with accessibility as a core design principle - both in ease of use for teams of varying technical skill levels, and in broad availability across the organizations that rely on MMP data daily. Enterprise-grade governance controls ensure that access to sensitive measurement data remains secure and compliant within each workspace, while an intuitive, conversational interface lowers the barrier for non-technical stakeholders to engage directly with their MMP data. Availability The StationOne MMP Workspaces for Kochava, Adjust and AppsFlyer are available in the StationOne Workspace Gallery, with each dedicated workspace accessible individually based on the platforms a team already uses. Download StationOne for your desktop here. 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. Media contact:
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Industries
Company Size
51-200
Company Stage
Seed
Total Funding
$5M
Headquarters
Sandpoint, ID
Founded
2011
Find jobs on Simplify and start your career today
We update Kochava's jobs every few hours, so check again soon!Browse all jobs