Accenture Invests in Alembic to Reinvent Marketing Measurement with Data and Causal AI

Accenture (NYSE: ACN) has invested, through Accenture Ventures, in Alembic, a leading AI-powered causal marketing intelligence platform that can determine which marketing campaigns deliver a return on investment (ROI). As part of this investment, Accenture and Alembic are entering into a strategic partnership to help clients dynamically measure marketing effectiveness and use AI-driven insights to boost revenue.

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Accenture has invested, through Accenture Ventures, in Alembic, a leading AI-powered causal marketing intelligence platform that can determine which marketing campaigns deliver a return on investment (ROI).

Recent research from Gartner found that two-thirds of marketing leaders reported moderate to significant challenges demonstrating the impact of marketing campaigns on business outcomes to key stakeholders¹. Alembic’s AI-powered causal platform collects and analyzes data across multiple marketing channels—including broadcast, social, site traffic and direct-to-consumer communications—and couples this with sales data. The platform identifies links between actions and outcomes, assigning an impact score for each channel or marketing event. The result is real-time insights that can be used to guide marketing spend, and tangible connections between marketing campaigns and revenue impact.

“Our clients are not just implementing AI; they are undergoing total enterprise reinvention, which hinges on trust and intelligence at the digital core,” said Julie Sweet, Chair and CEO of Accenture. “Alembic’s Causal AI provides exactly that by moving the enterprise beyond correlation to deliver the verifiable, cause-and-effect insights leaders need to act with decisive speed.”

While other measurement mechanisms are often constrained to siloed data sets, Alembic can analyze complex data patterns as well as traditionally difficult-to-track channels such as brand campaigns, sponsorships, events and the influence of organic social posts – even as customer data grows at an exponential pace. Additionally, recent market changes and events such as changing public policy can be modelled for a cause-and-effect impact, so that quick adjustments can be made to safeguard marketing spend or identify new paths to revenue.