AppsFlyer MCP Turns Campaign Chaos into Chat—No Data Team Required

Marketers, meet your new AI co-pilot. AppsFlyer just rolled out MCP (Model Context Protocol), a conversational AI tool that connects marketing teams directly to their campaign data and analytics—no dashboards, SQL, or analyst wrangling required.

Built on Anthropic’s Model Context Protocol, the tool acts as a bridge between AppsFlyer’s rich data APIs and leading large language models (LLMs), including Claude. The goal? Let marketers manage performance metrics, audiences, and campaign optimization through simple, natural language prompts or AI agents—like messaging a smart intern who never sleeps.

This move positions AppsFlyer as one of the first martech heavyweights to integrate directly with the Model Context Protocol, and it couldn’t come at a better time. With campaign complexity increasing across platforms and pressure mounting for real-time decisions, marketers are often stuck waiting on analysts, struggling with dashboards, or knee-deep in spreadsheet chaos.

“AppsFlyer MCP significantly reduces time to decision-making,” said Barak Witkowski, Chief Product Officer at AppsFlyer. “It eliminates the friction between insight and action.”

No More Chasing Dashboards

AppsFlyer MCP isn’t just a chatbot—it’s a fully integrated orchestration layer. Here’s what it does out of the gate:

• AI Analytics Chat: Marketers can ask performance questions like “What’s the ROAS on my Instagram campaign?” or “Compare retention for Q1 vs Q2”—and MCP will respond with real-time insights, neatly formatted and ready for action.

• Audience Transparency: View and manage audiences with clarity. Marketers no longer need to dig through interfaces or second-guess segmentation logic.

• Link Governance: The tool enforces clean link tracking and standardized reporting by letting you query link structures directly from the OneLink dashboard.

In short, it’s like putting a conversational layer over your martech stack—streamlining analytics, asset management, and attribution from one interface.

From Insights to Action in Minutes

The feedback from early adopters is telling. “What used to take our analysts hours now takes minutes,” said Elay De Beer, CEO of BUFF, a Play-to-Earn mobile gaming platform. “Everyone—from our CMO to our B2B team—gets the insights they need, tailored to their needs, without learning a new tool.”

That personalization—a CMO seeing retention while a CEO pulls ROI—is a game-changer. It means marketing teams get real-time, role-specific insights without queuing up behind a data engineer or running another Tableau export.

AI Meets Attribution

AppsFlyer is already known for its robust attribution and analytics engine, and MCP adds a new layer of accessibility without compromising on data fidelity. The AI is grounded in privacy-safe, high-quality data, which matters in a world where data compliance is as critical as performance.

Unlike DIY LLM hacks that scrape reports or guess metrics, MCP is fully integrated, making it more accurate, secure, and scalable. That means martech teams can plug it in and go—no messy API setups, no workflow rewrites.

The launch also signals the expansion of AppsFlyer’s broader AI strategy, with more LLM support and expanded functionality already in the pipeline.

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