StackAdapt, a programmatic advertising platform, has launched Ivy, a new AI-powered assistant aimed at improving how marketers interact with data for strategic decision-making. Positioned as a virtual guide within the StackAdapt interface, Ivy is designed to help users make faster and smarter campaign choices without needing extensive data analysis expertise.
The launch of Ivy marks StackAdapt’s move to integrate conversational AI directly into programmatic workflows, enhancing the accessibility of insights that were once confined to dashboards and spreadsheets. It reflects a broader shift within martech towards embedding AI as a collaborative partner in daily campaign management.
Conversational AI to Navigate Complexity
Built using advanced natural language processing (NLP) and large language models (LLMs), Ivy allows marketers to ask questions in plain language and receive tailored responses based on real-time campaign data. Whether it's analyzing performance metrics, uncovering audience trends, or optimizing channel strategies, Ivy delivers insights conversationally—eliminating the need to navigate multiple dashboards or dig through layers of analytics.
The assistant is integrated directly into the StackAdapt UI, making it easily accessible during planning, execution, and optimization phases. According to the company, Ivy can respond to a range of queries such as "Which creatives are driving the best ROI?" or "What’s the performance of my campaigns on mobile versus desktop this week?"
StackAdapt claims that Ivy also provides proactive insights, flagging opportunities and anomalies that might otherwise be missed in routine analysis.
Designed for Speed and Strategy
A major challenge in performance marketing is the time spent analyzing data and synthesizing it into actionable plans. Ivy aims to reduce this lag by offering instant, context-aware answers, allowing teams to move from insight to execution in a shorter time frame.
While AI-powered assistants are not new in enterprise software, StackAdapt’s approach focuses specifically on media buyers, planners, and performance marketers—professionals who rely on quick, data-informed decisions to meet campaign goals.
The assistant is capable of comparing performance across tactics, analyzing engagement across devices, surfacing cost-efficiency trends, and even helping with A/B test evaluations. This reduces the back-and-forth between teams and speeds up the decision cycle.
Privacy and Control Built In
StackAdapt emphasizes that Ivy was built with user trust in mind. The assistant’s responses are generated only from campaign data to which the user has access, ensuring both data privacy and contextual relevance. Users can control how and when Ivy is used, and the assistant does not autonomously alter campaign settings.
This privacy-first design aligns with growing concerns among marketers about how AI tools handle sensitive customer and performance data. Ivy’s model does not retain personal or campaign-specific information beyond the active session, according to StackAdapt.
A Growing Trend in Marketing AI
The introduction of Ivy underscores a larger trend in marketing technology: the shift toward agentic and conversational AI that supports human decision-making rather than replaces it. While AI is often associated with automation, tools like Ivy represent the next step—AI as a strategic collaborator.
By simplifying data interpretation and embedding insights into daily workflows, conversational assistants like Ivy help democratize analytics across teams. Junior marketers gain faster understanding, while senior strategists can validate decisions in real time without waiting for formal reports.
Industry analysts have noted that such tools are becoming essential as marketing teams handle increasing volumes of data from multiple channels, partners, and devices.
Looking Forward
StackAdapt's Ivy is expected to evolve with new capabilities over time, including support for predictive recommendations and natural language-driven campaign setup. The assistant is currently available to StackAdapt clients, with onboarding resources and use case examples provided within the platform.
As marketing grows more complex and the pressure to demonstrate ROI intensifies, tools that simplify and accelerate decision-making are likely to become a staple across the martech stack.
By introducing Ivy, StackAdapt not only enhances the utility of its platform but also signals the growing role of embedded AI in driving campaign success.