Marketing
Predictive Budget Allocation involves forecasting marketing campaign performance and determining the optimal budget distribution across multiple Ad channels based on historical marketing campaign data. By harnessing the power of AI, budget allocation prediction helps businesses make informed decisions, maximizing ROAS and minimizing acquisition costs.
When it comes to marketing, one of the most daunting challenges is optimizing budget allocation across various Ad channels and campaigns. Companies face the challenge of reducing expenses in online advertising while seeking to improve the ROAS of campaigns and reduce the cost of acquiring customers. Businesses often struggle to predict which campaign will perform better and bring high Customer Lifetime Value (CLV) and the need to maximize the ROI from marketing efforts. Without accurate predictions, marketing teams risk overspending on underperforming channels or missing out on valuable opportunities to reach their target audience effectively.
Acquisition is getting very expensive. Customer life cycles are becoming increasingly complex, and acquisition journeys are no longer linear. Shimoku addresses these issues using AI to uncover actionable insights to power acquisition by optimizing campaign performance, budget allocation, and reducing cost per acquisition.
Shimoku's AI-powered Budget Allocation offers businesses a solution to pinpoint the most effective campaign performance by providing predictions for ROAS, Customer LTV, recommended budget adjusted, and expected revenue for each campaign. These actionable insights empower marketing teams to make informed decisions and optimize budget allocation and redistribution for each campaign and ad group that attracts high-value customers.
Begin by uploading historical marketing data, including information on past campaigns : Ad channels performance, audience demographics, conversion rates, historical paid media data, campaign name, ad body, campaign objective, CPA, clicks, ROAS, campaign cost, total purchases, impressions, and destination URL. Our platform will analyze this data to build predictive models that forecast the Ad campaign performance and optimal allocation of your marketing budget.
Once the AI Budget Allocation model is trained, you'll gain access to actionable recommendations for optimizing your campaign performance and spend. Discover opportunities to reallocate budget to high-performing campaigns and channels, or explore new strategies to maximize your customer lifetime value. The model´s outcome will provide a ranked list of published campaigns based on their ROAS prediction, recommended budget adjusted, or expected revenue, along with an explanation of the factors influencing the scoring. These outcomes will empower you to promptly cease low-performing campaigns and redistribute resources towards those demonstrating higher ROAS.
Reallocate budget to high-performing
Actionable recommendations
Optimize your campaign performance
In the world of AI, the concept of Explainability has emerged as a core of trust and transparency. While AI models are incredibly relevant, their intricate architectures can often operate as "black boxes," making it challenging for users to understand their underlying mechanisms and decision pathways. Explainability in AI aims to demystify these processes, offering clear, intuitive insights into how algorithms arrive at specific outcome. This is not just about technical transparency but about building a bridge of trust between AI and users. Gaining an understanding of how AI models work will enhance your confidence in the system, encourage broader adoption, and ensure alignment with business goals.
Our solution provides an Explainability layer and transparent insights into the factors driving the model's predictions, allowing you to understand the key drivers influencing campaign performance. By identifying both positive and negative indicators, you can refine your campaign strategies to enhance customer lifetime value and drive revenue growth.
At the core of our solution lies an Actionability layer that bridges the gap between data insights and tangible business outcomes. At Shimoku, we firmly believe that the true power of AI lies not just in understanding data but in leveraging it to drive meaningful actions within a company's operations.
With traditional analytics solutions, businesses often find themselves drowning in a sea of data, struggling to derive actionable insights that can drive real change. Our approach flips this paradigm on its head by not only providing valuable insights but also empowering businesses to swiftly translate these insights into concrete actions that drive monetization and efficiency.
Our solution leverages Generative AI technology to offer tailored recommendations aimed at optimizing your campaigns, ads and audiences. With our system in place, each published campaign receives a comprehensive set of suggestions designed to assist your marketing team in enhancing campaign performance.
Act on the insights generated by our Budget Allocation Prediction solution by activating your data across various touchpoints in your marketing and ads platforms.
Shimoku API simplifies the deployment of AI models across diverse platforms, spanning from Ads Platforms such as Facebook Ads, Google Ads, Linkedin, TikTok, to web applications, email marketing tools, and more. With seamless integration capabilities, businesses can leverage Shimoku's predictive analytics to drive hyper personalization and enhance ROI from marketing initiatives.
Start optimizing your Marketing Channel Budget Allocation today with Shimoku's advanced AI solution.
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