Proven strategies to boost Return on Ad Spend
Rebeca
13th Jul 2026
Improving your Return on Ad Spend (ROAS) is key to maximizing the effectiveness of your advertising efforts. ROAS measures how much revenue you generate for each dollar spent on ads, with a higher ratio indicating better performance. This article will explore actionable strategies to help you boost your ROAS and achieve more profitable results.
As advertising becomes increasingly fragmented across channels, AI-powered optimization has become essential for improving ROAS by continuously adjusting campaigns based on real-time performance signals and business outcomes.
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Without a solid roadmap, marketing campaigns can easily lose focus, leading to inefficiencies and missed opportunities. To keep your campaign on track, it’s crucial to set SMART goals: Specific, Measurable, Actionable, Realistic, and Time-bound. Here’s how to apply these principles:
Specific. Define clear, focused goals, instead of vague objectives. Outline exactly what you want to achieve: “increasing sales by 30% during the holiday season compared to last year’s sales”.
Measurable. Make sure you can track progress using metrics. This can mean monitoring sales numbers, conversion rates, or ROAS. Knowing how much progress you’ve made helps you adjust your strategies.
Actionable. Ensure your goals are tied to concrete actions. Outline the steps, such as refining ad copy, improving targeting, or A/B testing campaigns, that will lead to the desired result.
Realistic. Set achievable targets based on available resources and past performance. Ensure the goals align with the company’s capabilities.
Time-bound. Give each goal a deadline, such as achieving the sales increase during the holiday season or by January 5th.
By aligning your goals with SMART principles, you can ensure that every action ties back to business results, ultimately boosting your Return on Ad Spend (ROAS)
Effective audience strategies increasingly combine first-party data, contextual intelligence, privacy-first targeting approaches, and AI-powered optimization. Rather than relying solely on third-party data, advertisers can use multiple signals to identify high-value opportunities while adapting to evolving privacy standards.
Fine-tuning your audience also allows you to personalize the customer experience.
When there isn’t a clear plan, it is easy to go over budget, which will harm the campaign’s efforts. Most campaigns will run across different platforms, including Google Ads and different social media channels. When allocating the budget to each one of them, it is worth considering:
Look at similar campaigns you ran in the past and identify what worked well. Invest more in it.
Align the platform with the audience. Millennials and Gen Xs may prefer website ads and Facebook, while you may find a younger audience on Instagram.
Diversify your investment by spreading your budget across platforms. By doing this, you can make adjustments when needed.
Identify inefficiencies that can derail the advertising budget. Issues with brand safety, poor targeting, and inadequate exclusions can result in a wasted budget and a low ROAS.
AI-powered optimization can continuously evaluate campaign performance across channels and automatically shift budget toward higher-performing opportunities while campaigns are running.
There are many bidding strategies, both manual and automated, and selecting the right one will depend on the campaign. Bidding models can be categorized into two main types:
Manual bidding: Ideal for niche and small campaigns where you need more control over where your ads appear.
Smart bidding: AI-powered bidding continuously evaluates performance signals and adjusts bids in real time to improve efficiency and maximize advertiser-defined outcomes, including ROAS. e.
The payment model you use when bidding will depend on your strategy and the type of campaign. Advertisers can choose to pay for each time the ad gets viewed, clicked, or engaged in any other action.
Cost per Action (CPA): Advertisers pay when a specific, predefined action is taken by the ad’s viewer. It may be completing a sale, but also signing up for a newsletter or downloading an e-book.
Cost per Click (CPC): This payment model is the most cost-savvy, as advertisers only pay when an ad gets clicked. It reduces budget waste, potentially improving ROAS.
Cost per Impression (CPM): The advertisers pay for every thousand times the ad gets viewed. It is not as effective in controlling the ad spending as other models, because it may not directly result in conversions.
Leverage the power of existing customers. The cost of retaining customers is significantly less than the cost of acquiring new ones. Conversions with existing customers are also higher because they are already familiar with your brand.
A good strategy to improve your ROAS is to increase the revenue generated by a customer throughout their life as a customer of your brand, otherwise known as Lifetime Value (LTV). Some of the methods to increase LTV may include retargeting campaigns, upsells, loyalty programs, and email nurture campaigns.
Modern AI platforms can optimize campaigns toward longer-term business metrics such as customer lifetime value, profitability, customer acquisition cost, or incremental revenue rather than short-term clicks alone.
The ad creative and copy is the first impression the viewers get of your brand. You want to optimize the ads so they address directly to the audience’s needs and grab their attention. A clear call to action is essential.
Creative optimization has become an increasingly important driver of ROAS. AI can continuously evaluate creative performance, audience response, and campaign results to identify which messaging, formats, and creative assets deliver the strongest business outcomes. A/B testing remains valuable, but AI enables continuous optimization at scale.
Track, measure, optimize, and repeat. AI-powered platforms can continuously analyze campaign performance and automatically adjust campaign execution throughout the campaign lifecycle. . Use Google Analytics, for example, to track how the ads are converting. Adjusting the campaign on the go can help reduce spending waste and lower the ad campaign development costs.
Improving ROAS requires balancing efficient media investment with stronger revenue generation through continuous optimization, rather than simply reducing spend.
Unlike other metrics, the ROAS focuses on revenue. Simply put, you’ll know how the ad spending is paying off. And it indicates if your ad campaign is turning a profit.
To find the ROAS, you need to divide the total campaign revenue by the total cost. Here is the formula:
ROAS: Revenue from Advertising/Cost of Advertising
Optimize your ROAS with Perion’s smart targeting.
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AI-powered programmatic advertising enables advertisers to continuously optimize media buying, bidding, creative delivery, and budget allocation based on real-time performance. Rather than relying on static campaign settings, modern platforms dynamically adjust execution to maximize advertiser-defined outcomes, including ROAS. Perion combines AI-powered optimization, privacy-first targeting, cross-channel activation, and real-time measurement to help advertisers continuously improve campaign performance and measurable business outcomes
Discover how Perion’s AI-powered optimization helps advertisers maximize ROAS and measurable business outcomes.
A good ROAS typically ranges from 4:1 to 6:1, meaning for every dollar spent on ads, you should aim to earn $4 to $6 in revenue. However, this can vary based on industry and business goals.
A low ROAS may be due to factors such as poor ad targeting, high competition, low-quality ad creatives, or ineffective landing pages. Analyzing and optimizing these areas can help improve your ROAS.
ROAS is influenced by ad targeting accuracy, ad quality, audience engagement, bidding strategy, competition, and the effectiveness of your sales funnel and landing pages.
A 100% ROAS, or 1:1 ratio, means you earn back only what you spend on ads, with no profit. While this breaks even, a higher ROAS is generally preferable for profitability.
To improve ROAS, refine audience strategies, optimize creative, continuously adjust bidding and budgets, improve landing page experiences, and leverage AI-powered optimization informed by real-time performance insights.
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