Return on Ad Spend (ROAS)

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Return on Ad Spend (ROAS) is a marketing metric used to evaluate the effectiveness of advertising campaigns by measuring the revenue generated relative to the amount spent on advertising. It provides insights into how efficiently advertising investments are translating into sales or revenue for a business. You can use the formula displayed below to calculate ROAS.

Return On Ad Spend formula

Here's an in-depth breakdown of ROAS:

  1. Calculation: ROAS is calculated by dividing the revenue generated from advertising by the amount spent on advertising. The formula is as follows:
  2. 𝑅𝑂𝐴𝑆=π‘…π‘’π‘£π‘’π‘›π‘’π‘’β€…π‘“π‘Ÿπ‘œπ‘šβ€…π΄π‘‘π‘£π‘’π‘Ÿπ‘‘π‘–π‘ π‘–π‘›π‘”π΄π‘‘π‘£π‘’π‘Ÿπ‘‘π‘–π‘ π‘–π‘›π‘”β€…π‘†π‘π‘’π‘›π‘‘ROAS=AdvertisingSpendRevenuefromAdvertising
  3. The revenue from advertising can include sales revenue directly attributed to the advertising campaign, such as purchases made by customers who clicked on an ad. It may also include other measurable actions that contribute to revenue, such as leads generated or conversions completed.
  4. Interpretation: ROAS is typically expressed as a ratio or percentage. For example, if a company spends $1,000 on advertising and generates $5,000 in revenue, the ROAS would be 5:1 or 500%. This means that for every dollar spent on advertising, the company generated $5 in revenue.
  5. Measurement Period: ROAS can be calculated over different time periods, such as daily, weekly, monthly, or for the entire duration of an advertising campaign. Analyzing ROAS over different time frames can provide insights into the short-term and long-term effectiveness of advertising efforts.
  6. Attribution: ROAS helps attribute revenue directly to advertising activities, allowing marketers to understand which advertising channels, campaigns, or strategies are driving the most value for the business. This attribution can be particularly useful in multichannel marketing environments where customers interact with multiple touchpoints before making a purchase.
  7. Optimization: By analyzing ROAS data, marketers can optimize their advertising strategies to maximize return on investment (ROI). This may involve reallocating budget towards high-performing campaigns or channels, refining targeting parameters to reach the most valuable audience segments, or adjusting ad creative and messaging to improve conversion rates.
  8. Benchmarking: ROAS can be used as a benchmark for evaluating the performance of advertising campaigns relative to industry standards or competitors. Comparing ROAS metrics across similar campaigns or industries can help identify areas for improvement and set realistic performance targets.

Overall, ROAS provides marketers with a quantitative measure of the revenue generated from advertising investments, enabling data-driven decision-making and continuous improvement of advertising strategies to drive business growth and profitability.


Return on Ad Spend (ROAS) plays several important functions in the field of neuromarketing, where the focus is on understanding consumer behavior, preferences, and responses at a neuroscientific level. Here's how ROAS is utilized in neuromarketing:

  1. Effectiveness Assessment: ROAS helps neuromarketers evaluate the effectiveness of advertising campaigns in terms of their impact on revenue generation. By analyzing the relationship between advertising expenditures and resulting sales or revenue, marketers can assess how efficiently their advertising investments are driving business outcomes.
  2. ROI Analysis: ROAS provides a measure of the return on investment (ROI) specifically related to advertising activities. Neuromarketers can use ROAS data to quantify the financial outcomes attributable to their advertising efforts and determine whether the returns justify the costs incurred.
  3. Optimization Guidance: ROAS metrics guide neuromarketers in optimizing advertising strategies to maximize returns. By identifying which advertising channels, campaigns, or tactics yield the highest ROAS, marketers can allocate resources more effectively and focus on the most profitable initiatives.
  4. Budget Allocation: ROAS informs decision-making regarding budget allocation across different advertising channels and campaigns. Neuromarketers can prioritize investments in channels or campaigns that demonstrate the highest ROAS, while scaling back or reallocating resources from less effective initiatives.
  5. Attribution Modeling: ROAS helps neuromarketers attribute revenue back to specific advertising touchpoints or campaigns. By understanding how different advertising efforts contribute to overall revenue generation, marketers can develop more accurate attribution models and optimize their marketing mix accordingly.
  6. Neuro-ROI Analysis: Neuromarketers can integrate ROAS data with neuroscientific insights to conduct neuro-ROI analysis, which evaluates the neural and physiological responses associated with advertising effectiveness. By correlating ROAS metrics with measures of brain activity, emotional engagement, and attention, marketers gain deeper insights into the cognitive and affective processes underlying consumer decision-making.
  7. Predictive Modeling: ROAS data can be used to develop predictive models that forecast future advertising performance and revenue outcomes. By leveraging historical ROAS trends alongside neuromarketing data, marketers can anticipate the potential impact of different advertising strategies and make informed decisions about resource allocation and campaign planning.

Overall, ROAS serves as a critical metric in neuromarketing for evaluating the financial impact of advertising efforts and optimizing marketing strategies to drive business growth and profitability while leveraging neuroscientific insights to better understand consumer behavior and decision-making processes.


Imagine a retail company launching a new digital advertising campaign to promote their latest product line. The company invests $10,000 in various online advertising channels, including social media ads, search engine marketing, and display ads. Over the course of the campaign, they track the revenue generated from online sales directly attributed to the advertising efforts.

After the campaign concludes, the company analyzes the data and finds that the total revenue generated from online sales linked to the advertising campaign amounts to $50,000. Using the ROAS formula, they calculate the return on their advertising spend as follows:

𝑅𝑂𝐴𝑆=π‘…π‘’π‘£π‘’π‘›π‘’π‘’β€…π‘“π‘Ÿπ‘œπ‘šβ€…π΄π‘‘π‘£π‘’π‘Ÿπ‘‘π‘–π‘ π‘–π‘›π‘”π΄π‘‘π‘£π‘’π‘Ÿπ‘‘π‘–π‘ π‘–π‘›π‘”β€…π‘†π‘π‘’π‘›π‘‘ROAS=AdvertisingSpendRevenuefromAdvertising

ROAS = \frac{ $50,000 }{ $10,000 } = 5

The resulting ROAS value is 5, indicating that for every dollar spent on advertising, the company generated $5 in revenue. This means that the advertising campaign was profitable, with a positive return on investment (ROI).

Based on this ROAS analysis, the company can make informed decisions about their future advertising strategies. For example, they may choose to allocate more budget towards the most effective advertising channels or campaigns that yielded the highest ROAS. They could also refine their targeting parameters or adjust their messaging to further optimize ROI in future campaigns.

By consistently monitoring ROAS metrics and incorporating insights from neuromarketing research, such as understanding consumer behavior and preferences, the company can continuously refine their advertising strategies to drive higher returns and achieve their business objectives effectively.

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