Predictive Budget Allocation is a powerful element of the Smartly.io Advertising Platform, designed to effortlessly optimize your campaign. This customizable feature removes human error and leverages AI to update budget spends, saving you valuable time and money.
Crafted for the future of your business, our exclusive AI is designed to leverage customizable first and third-party data. This empowers you to maximize your return on ad spend throughout the entire sales funnel by merging your data with our state-of-the-art cross-channel intelligence.
Enhance your insights further by seamlessly integrating incremental and Marketing Mix Modeling (MMM) insights into PBA. Tailor your approach by setting custom multipliers for platform performance, conversion, and revenue metrics. This level of customization is available at the platform, account, campaign, and ad set levels, ensuring flexibility and precision in achieving and exceeding your goals.
PBA consistently fine-tunes budgets using performance data and strategic adjustments. It optimizes precisely, allowing platforms to adapt pacing for maximum impact. This streamlines your team's budget management, potentially saving up to 5 hours a week. Experience unparalleled productivity with AI-driven automation across the campaign lifecycle, empowering your team to concentrate on meaningful tasks such as understanding insights and scaling campaigns.
Set-up in minutes and watch performance increase as the model makes the most of your budget. In fact, Smartly customers see an average 10% CPA improvement.
You input your own first or third-party data. This ensures budgets are allocated where you see results based on your preferred measurement, such as lifetime value or incrementality. Plug the data into Smartly, set it as the goal for Predictive Budget Allocation, and let AI optimization allocate budgets between campaigns or ad sets based on your end goal.
Optimize against an endless number of goals - Any GA or Adobe data for example. Also they often have internal attribution and incrementality models, for example using Marketing Mix Modelling