What Sigma’s Expansion Means for AI-Driven Advertising
MiQ’s expanded Sigma platform is an AI-powered advertising system that now unites campaign planning software, marketing measurement tools and activation features in one interface so marketers can turn fragmented consumer signals into clearer decisions and faster, more connected campaign workflows. Launched a year ago, Sigma has powered more than 40,000 campaigns for over 2,300 advertisers, with MiQ reporting a return of $2.22 for every $1 spent compared with standard programmatic setups. Built as an AI advertising platform, Sigma is designed to interpret thousands of daily digital interactions across video, social, commerce and emerging AI chat environments. The latest release adds planning and measurement capabilities on top of existing activation functions, aiming to close the gap between brands that can act on real-time data and those that cannot. For advertisers, the promise is a single system that supports strategy, execution and optimisation without constant tool-switching.
From Fragmented Tools to a Unified Advertising Workflow
Sigma’s core update is the consolidation of advertising automation into a single, AI-driven workflow. Marketers and agency partners can now curate audiences and personas, plan media investment, activate campaigns and measure performance inside one environment, instead of stitching together disconnected tools. According to MiQ, combining data, decisioning and activation in one system has already allowed its traders to make twice as many optimisations as before, with faster adjustments improving campaign outcomes. The platform now connects insights from more than 600 data feeds and 2.5 petabytes of information, pulling in signals from providers such as Circana, TitanOS and Evertune, alongside AI architecture integrations with Databricks. This unification makes it easier to understand how consumers move from watching to browsing to buying, while keeping planning logic, audience definitions and reporting metrics consistent across channels and teams.
Browsing Intelligence: Planning Mid-Funnel Engagement with AI
One of Sigma’s new capabilities, Browsing Intelligence, focuses on the consideration phase where mid-funnel engagement shapes brand choice. This feature helps advertisers use the platform as advanced campaign planning software by revealing omnichannel behavioural, contextual, attention and AI trends across digital media. Marketers can see how people browse content and compare products, then turn those insights into audience strategies and creative choices before campaigns go live. Because Browsing Intelligence sits inside the same AI advertising platform that runs activation, planners can move from insight to execution without manual data transfers or separate dashboards. The result is a tighter loop between strategy and delivery: audience segments defined during planning are available for targeting, and performance feedback can refine ongoing browsing models. In a landscape of 2,500-plus daily digital interactions per consumer, this kind of mid-funnel visibility is key to making smarter, faster planning decisions.
Sigma Total Measurement: Connecting Channels Across the Full Journey
The second major addition, Sigma Total Measurement, aims to expand marketing measurement tools beyond isolated media KPIs. Instead of focusing only on channel-level metrics, Sigma now helps marketers see how different environments work together to drive long-term sales growth across the full consumer journey. Users can identify where investment compounds across video, social, commerce and other placements, then reinvest with greater confidence. Because the measurement layer is tied directly to the same data spine and activation systems, attribution insights align with how campaigns are planned and bought. Partners such as Evertune add further depth: its CEO stresses that AI search visibility data becomes powerful when connected in real time to what consumers are watching and buying, then linked to planning and activation. Sigma Total Measurement is built to turn that connection into an everyday workflow, rather than a separate analytics project.
Why a Unified AI Advertising Platform Matters Now
Sigma’s expansion speaks to a wider industry shift toward unified AI advertising platforms that collapse silos between planning, activation and measurement. As MiQ notes, the challenge is no longer only finding more data, but turning thousands of signals into decisions quickly enough to matter. By combining a large-scale data spine, AI decisioning and cross-environment activation, Sigma aims to give marketers a single system to plan faster, measure more completely and reinvest with confidence. It now activates across 16 open web and walled garden environments, including Google and YouTube, while plugging into strategic data partnerships such as OzTAM, Lifesight, Samba, Creatalytics and Google. For advertisers under pressure to do more with the same teams and budgets, integrated advertising automation like this can streamline workflows, cut manual handoffs and keep every campaign decision grounded in shared, live data.
