How to Make the Most of Your Advertising Budget

For growth-focused teams who want to turn ad spend into a predictable revenue stream, not a guessing game.

A dashboard showing a rising return on ad spend (ROAS) graph, symbolizing a maximised advertising budget.

You’ve meticulously defined your audience, perfected your targeting, and allocated a significant budget to your ad campaigns. You launch, and for a week, the results are promising. Then, the inevitable happens: performance plateaus, costs per click rise, and your return on ad spend (ROAS) starts to dwindle. This is the frustrating cycle of **creative fatigue**, and it's where most advertising budgets go to die. The secret to maximising your budget isn't just about better targeting—it's about having a sustainable system for creating and testing fresh, high-performing video creatives. With a smart strategy and powerful tools like Leo AI's platform, you can turn this expensive problem into a competitive advantage.

The numbers don't lie. According to Nielsen, 47% of a brand's sales lift from advertising is due to the creative itself—more than targeting, reach, or branding combined (Nielsen). Yet, most teams spend 80% of their time on media buying and only 20% on creative strategy. To make the most of your budget, you need to flip that script. This article will walk you through a proven framework for allocating your budget, de-risking your creative process, and using AI to generate a pipeline of video ads that actually convert.

Why Most Ad Budgets Fail: The Creative Bottleneck

Think of your ad budget as fuel and your creative as the engine. You can have a full tank of premium fuel, but if your engine is inefficient, you won't get very far. In advertising, "creative fatigue" is the inefficient engine. It happens when your audience sees the same ad too many times and starts tuning it out. Click-through rates drop, and ad platforms charge you more to show your now-ineffective ad.

The traditional solution—hiring an agency or in-house team to produce a new batch of ads—is slow and expensive. This creates a bottleneck where your media buyers are ready to spend, but they lack the fresh assets needed to keep campaigns profitable. The key to maximising your budget is to break this bottleneck by creating a system that produces a high volume of creative variations, allowing you to test, learn, and iterate at speed.

The 70-20-10 Rule for Smart Budget Allocation

Before you even think about creatives, you need a smart framework for allocating your budget. The **70-20-10 rule** is a time-tested model used by companies like Coca-Cola and Google to balance their marketing investments. It provides a simple yet powerful way to manage risk and foster innovation.

The 70-20-10 Advertising Budget Split

This model allocates the majority of your budget to proven strategies, while reserving smaller portions for emerging trends and high-risk, high-reward experiments.

Pie chart of the 70-20-10 budget allocation rule. The chart shows a pie divided into three sections: 70% labeled 'Proven Winners', 20% labeled 'Emerging Trends', and 10% labeled 'Experimental'. 70% 20% 10% ■ Proven Winners ■ Emerging Trends ■ Experimental

*A balanced approach to marketing investment.

Amplify What Works: Using Organic as Your Ad Lab

How do you find your "proven winners" without wasting thousands of dollars? You let your organic content do the hard work for you. Your organic social media channels (YouTube, LinkedIn, TikTok, etc.) are the perfect, low-cost laboratory for testing creative ideas.

Instead of guessing what ad creative will resonate, post different video concepts, hooks, and messaging organically first. The market will tell you what works. A short-form video that gets an unusually high number of shares and saves is a prime candidate to be turned into a paid ad. An educational segment from a webinar that gets tons of positive comments is a clear signal of high-value content. By monitoring your organic performance, you can identify your most potent messages and formats *before* you put a single dollar of ad spend behind them. This data-driven approach dramatically de-risks your budget and increases your probability of success.

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The Secret Weapon: Building a High-Volume Creative Engine

Once you've identified what works organically, the next challenge is scale. A single winning video ad will eventually fatigue. To maintain a high ROAS, you need a constant stream of variations to test—different hooks, different calls-to-action, different visuals. This is where the concept of a **creative engine** comes in.

Your goal is to repurpose your core long-form content (webinars, podcasts, product demos) into a large volume of ad-ready micro-videos. For every hour of pillar content, you should be able to generate 10-20 unique ad creatives. Manually, this is a monumental task. It requires hours of watching footage, clipping segments, writing copy, and formatting for different platforms. This is the bottleneck we talked about earlier. But what if you could automate it?

How AI Gives You an Unfair Advantage in Advertising

This is where artificial intelligence transforms your advertising workflow. Platforms like Leo AI are designed to be your automated creative engine, giving you the scale and speed that was once only available to the world's biggest brands.

Here’s how it works: You connect your library of long-form video content (like your YouTube channel). Leo AI's machine learning models then get to work:

By using AI, you solve the creative bottleneck. You can feed your media buying team an endless supply of data-validated ad creatives, allowing them to constantly test and optimize campaigns. This abundance of assets is the key to fighting creative fatigue and ensuring every dollar of your advertising budget is working as hard as it possibly can to drive results.

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Frequently Asked Questions

How Can I Optimise My Videos for SEO Purposes?

Leo AI automatically optimizes your videos for SEO by analyzing trending keywords, creating compelling titles and descriptions, and identifying the most engaging moments to feature. Our AI-powered platform ensures your content is discoverable across YouTube and other platforms, typically showing SEO improvements within 4 weeks of implementation.

Would Google Search be able to detect AI generated content?

Google's focus is on content quality, not how it's created. Leo AI enhances your existing authentic content rather than generating synthetic content from scratch. We help you repurpose and optimize your real videos, maintaining authenticity while leveraging AI for distribution and optimization. Google values helpful, relevant content regardless of whether AI tools assisted in its creation.

What is AI Video data and how does it work?

AI Video data refers to the insights and analytics extracted from your video content using machine learning algorithms. Leo AI analyzes viewer engagement patterns, identifies peak interest moments, tracks keyword performance, and provides actionable insights. This data helps you understand what resonates with your audience and automatically creates optimized clips that maximize engagement. With a minimum of 4-5 hours of video content, our AI can generate hundreds of data-driven video assets.

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Lera Leonteva, CEO at Leo AI

Lera Leonteva

Hey, I'm Lera, founder of Leo AI. I've been in AI for over a decade having worked on marketing and growth strategies and application launches. I'm an ethical hacker (OSCP qualified) and a keynote speaker at tech conferences. For cyber security, hacking and AI tools, see my work on GitHub.