Accenture plc

06/19/2026 | Press release | Distributed by Public on 06/19/2026 07:01

Blog: Accenture Song Launches Accenture Marketing Investment Navigator, a First-of-Its-Kind AI-Native, Enterprise-Scale Unified Measurement Platform

June 19, 2026

Blog: Accenture Song Launches Accenture Marketing Investment Navigator, a First-of-Its-Kind AI-Native, Enterprise-Scale Unified Measurement Platform

What's new?

  • Accenture Marketing Investment Navigator brings together marketing mix modeling (MMM), attribution, sales lift, and brand lift in a first-of-its-kind unified, AI-native, enterprise-scale platform, giving marketers both the strategic big picture and the clarity to decide where to move budget next.
  • The product moves marketers from hindsight to foresight by combining Accenture's attribution methodology with Amazon signals. Initial deployments have shown improvement in business outcomes for brands by 17% and above, at twice the speed of current approaches.
  • Powered by Amazon Ads' authenticated graph, with a reach extending to over 90% of U.S. households, and Amazon's trillions of streaming, browsing, and shopping signals, marketers are offered a foundation for connecting reach, intent, and purchase outcomes across the customer journey, helping them make more confident investment decisions.
  • Two distinct AI capabilities work in concert: agentic AI that automates the data engineering underneath, and a conversational AI interface that puts answers directly in marketers' hands.

Why now?
Marketing leaders are under pressure to prove what is driving growth and act on those insights faster. According to IAB, 73% of marketers believe traditional measurement solutions don't deliver fast enough insights for planning and optimization.

For enterprise organizations, the problem is compounded: connecting disparate ad solutions, CRM systems, and sales signals requires extensive engineering that many teams can't do quickly or affordably. The Accenture Marketing Investment Navigator closes that gap, moving marketers from hindsight to foresight by combining Accenture's methodology with Amazon's signals at enterprise scale.

A unified approach, not a single-method tool
What sets the product apart is the combination: the attribution bridge that harmonizes multiple models, Amazon's proprietary signals, and purpose-built AI, all running on Amazon Bedrock, AWS Clean Rooms, Amazon Bedrock AgentCore, and Amazon Nova. While many solutions focus on one aspect of measurement, the navigator unifies them at enterprise scale and translates complex analysis into clear next steps.

The navigator's AI works on two levels, agentic automation underneath and a conversational interface on top, eliminating the traditional bottleneck between raw data and confident decisions.

Agentic AI: automating the complexity underneath
Rather than requiring marketers to manually ingest, clean, and reconcile large volumes of data, the navigator deploys AI agents to automate data preparation and integration. These agents accelerate pipelines, identify missing or inconsistent inputs earlier, improve quality upstream, and reconcile conflicting outputs with greater speed and precision. The result is cleaner inputs, fewer late-stage surprises, and faster time to insight.

For CIOs and technology leaders, this means fewer custom integrations, less engineering overhead, and a platform that scales.

"The Accenture Marketing Investment Navigator raises the bar for what marketing measurement can deliver, drawing a clear line from insight to action, grounded in a unified view of performance across the customer journey," said Ndidi Oteh, CEO of Accenture Song. "It brings planning, measurement, and outcomes together at enterprise scale so marketers can focus on what's truly driving growth and lead with confidence in an increasingly complex media landscape."

Conversational AI interface: from question to answer
For marketers, the navigator features a conversational AI interface and unified dashboard. Instead of navigating complex dashboards or waiting on analyst queues, marketers can ask plain-language questions like, "I need to close a sales gap this quarter, where should I optimize my marketing spend to accelerate my sales?"

The system reasons about the intent behind each request, then surfaces actionable answers. From there, marketers can compare scenarios, test budget shifts, and see projected outcomes before making a move. This usability matters: data becomes easier to explore, understand, and act on, giving teams more autonomy to make decisions with confidence.

Accenture plc published this content on June 19, 2026, and is solely responsible for the information contained herein. Distributed via Public Technologies (PUBT), unedited and unaltered, on June 19, 2026 at 13:01 UTC. If you believe the information included in the content is inaccurate or outdated and requires editing or removal, please contact us at [email protected]