What It Means to Predict, Simulate, and Optimize Before a Dollar Is Spent
Performance marketing has always had a timing problem. By the time you know what is working, a significant portion of your budget has already funded the answer. The learning phase is not a feature of the process. It is the cost of not having better intelligence upfront.
We built the AXi Intelligence Suite to change that timing, and this week at Cannes Lions, we unveiled the complete system.
With the introduction of AXi Vector, developed in strategic partnership with Lift AI, the AXi Suite now gives brands a fully integrated predictive intelligence layer covering every marketing decision from pre-launch planning through continuous optimization across the entire campaign lifecycle.
Five Capabilities Designed Around One Goal: Smarter Spend
Each layer within the AXi Suite feeds the next, building an intelligence loop that compounds with every campaign, every audience, and every customer interaction.
AXi Simulator models how real audiences will respond to creative, messaging, and media channels before a campaign launches. Rather than relying on historical performance, Simulator builds dynamic synthetic audience models that pressure-test strategy before any spend begins.
AXi Vector determines where media investment should be concentrated based on real-time buyer probability. Built in partnership with Lift AI, Vector incorporates the Website Buyer Probability Score directly into our suite, evaluating live behavioral signals across every website visitor, including anonymous ones, to identify who is most likely to convert before a single dollar is deployed.
AXi Predictor identifies who should be targeted through AI-powered audience discovery and predictive targeting, finding the right audiences across channels before media runs.
AXi Optimizer applies continuous machine learning to every active campaign, improving performance in market in real time rather than waiting for post-flight reports.
AXi Explorer closes the loop with unified cross-channel intelligence, measurement and performance analytics, feeding learnings back into future predictions so every campaign makes the next one more precise.
Why AXi Vector Changes How Budgets Get Allocated
Traditional audience targeting starts with a question about resemblance: who looks like our best customers? Vector starts with a question about behavior: which visitors on our site right now demonstrate the highest probability of buying?
That difference reshapes budget allocation from the ground up. Rather than distributing spend broadly across audiences that resemble past converters, Vector reads live behavioral signals and translates them into media investment decisions before campaigns begin. Budget allocation, bidding strategy, audience prioritization, frequency management, and creative sequencing all become grounded in real-time buying probability rather than historical lookalike modeling.
Early deployments show what that shift produces: up to 67% lower cost per lead, 200% more leads from the same media investment, 33% higher click-through rates, and high-probability visitors converting at 5.6 times the rate of low-probability visitors. In one activation, 22% of website visitors generated 57.5% of total conversions, which is the kind of concentration that makes genuinely efficient budget allocation possible.
The Intelligence Is Only as Good as the Signal
Vector works because the underlying signal is built on verified outcomes, not modeled assumptions. Lift AI’s Website Buyer Probability Score is trained on 15 years of commission-audited sales data spanning billions of website journeys and hundreds of millions of verified purchases, and continuously validated against real-world performance rather than used as a proxy for intent.
By integrating it directly into the AXi Suite, we move buyer probability intelligence from the website layer into media activation itself, giving brands advertising decisions grounded in behavioral reality rather than platform-native signals confined to a single ecosystem.
Moving Beyond Optimization Into Prediction
Most performance marketing infrastructure is built to help you optimize what is already happening. The AXi Suite is built earlier in the decision chain.
Simulator helps you understand future performance before launch. Vector determines where investment should be concentrated based on buying probability. Predictor identifies who should be targeted. Optimizer continuously improves performance in market, and Explorer closes the loop with unified intelligence that feeds those learnings back into future predictions. Each layer builds on the others, and the system compounds over time.
What This Means for Your Campaigns
Running a learning phase to find out what works is expensive, and it is no longer the only option. Targeting audiences based on resemblance to past customers is imprecise when live behavioral signals are available. Optimizing after the budget is committed leaves money on the table that better intelligence would have protected.
The AXi Intelligence Suite is available now. If you are at Cannes Lions this week and want a personalized briefing on how these capabilities apply to your specific situation, reach out directly. If you are not in Cannes, that conversation does not have to wait.
