TCOS (Target Cost of Sale) and TROAS (Target Return on Ad Spend) are two automated bidding strategies that aim to align advertising costs with specific business outcomes. TCOS focuses on controlling the percentage of revenue spent on ads, while TROAS seeks to maximize revenue generated for every dollar spent. Choosing between them depends on whether your priority is maintaining a strict profit margin per order or scaling total revenue regardless of the initial efficiency threshold. Understanding these mechanisms allows advertisers to better manage their budget.
What is the primary difference between TCOS and TROAS?
TCOS operates by limiting the ad spend relative to the sales generated. If you have a specific target such as 20 percent, the algorithm adjusts bids to ensure that for every 100 dollars in sales, you spend 20 dollars. This strategy works well for businesses that rely on consistent margins and need to protect their profitability from rising click costs. It acts as a safety net for your account, preventing excessive spending on low-conversion products while ensuring that the cost of acquiring a sale remains predictable.
TROAS takes a different approach by focusing on revenue generation. Instead of limiting costs, it tells the bidding system to get as much revenue as possible while hitting a target return percentage. If your target is 500 percent, the system attempts to generate 5 dollars for every 1 dollar spent. This is often used by retailers who want to increase market share or move inventory rapidly. It gives the algorithm more freedom to bid higher in auctions that show a high probability of large cart sizes, which might result in a higher cost per sale but a better total revenue volume.
Comparison of Bidding Objectives
| Feature | TCOS Focus | TROAS Focus |
|---|---|---|
| Primary Goal | Margin Control | Revenue Growth |
| Calculation | Spend divided by Revenue | Revenue divided by Spend |
| Best For | Stable Profit Margins | Scaling Sales Volume |
How to determine which strategy fits your current account?
Deciding between these two strategies requires a deep look at your current unit economics. If your business is currently in a phase where cash flow is tight and every advertising dollar must contribute to a specific margin, TCOS is often the safer choice. It prevents the algorithm from chasing high-revenue sales that come at an unsustainable cost. By setting a firm TCOS, you protect your bottom line from volatile auction conditions where competitors might bid aggressively, driving up the cost per click.
On the other hand, if your goal is to grow your customer base and you have the budget to support higher acquisition costs for a period, TROAS provides more flexibility. It allows the automated systems to bid on high-value users who might be more expensive to reach but provide a better long-term return. This approach is common for brands that have a high lifetime value for their customers. When you use TROAS, you are essentially telling the platform that you care more about the total size of the pie than the exact slice of cost taken out of each order.
Factors to consider before changing your bidding strategy
- Check your historical conversion data: Ensure the account has enough recent conversions to support automated bidding.
- Review your profit margins: Know exactly what percentage of revenue you can afford to spend on ads without hurting your net profit.
- Assess your inventory levels: If you are low on stock, TROAS might push sales too fast, leading to missed opportunities.
- Evaluate seasonal fluctuations: Adjust your targets based on expected demand during holidays versus slower months.
How Alien Road applies bidding technologies
At Alien Road, we follow a structured path when implementing these strategies for our clients. First, we perform an audit of existing conversion tracking to ensure the data flowing into the ad platforms is clean. We look for discrepancies in revenue reporting, as bad data leads to poor bidding decisions. Once the tracking is validated, we run a short baseline period to understand the natural performance of the account before applying a strict target. We often start by mirroring the historical average of the account to avoid aggressive swings in spending.
For a typical client, we monitor the performance over a four-week window to observe how the algorithm reacts to the new targets. We do not make daily changes, as this disrupts the learning cycle of the bidding engine. Instead, we review performance weekly. If the system is not reaching its targets, we adjust the budget or the target incrementally rather than making broad changes. This methodical approach ensures that we reach the growth or profit goals defined by the client without wasting budget on unnecessary experiments.
Should you switch between TCOS and TROAS frequently?
Frequent switching between bidding strategies is generally discouraged because it resets the learning period for the AI. Every time you change from TCOS to TROAS, the system must re-evaluate which users are likely to convert and what those conversions are worth. This often leads to a period of instability where performance fluctuates significantly. It is much better to choose a strategy that aligns with your quarterly goals and stick with it until you have enough data to prove that the strategy is no longer effective for your business needs.
A reliable rule of thumb is to allow at least two to four weeks for any major bidding change to settle. During this time, the system is actively collecting signals from your audience. If you change targets too quickly, you prevent the system from gathering the insights it needs to be effective. Keep your changes small and infrequent to maintain consistency in your advertising results.
Common mistakes when setting target values
- Setting impossible targets: Asking for a 1000 percent return when your historical average is 300 percent will kill your campaign traffic.
- Ignoring conversion lag: If your sales cycle is long, the system needs time to see the value of a click before it can optimize effectively.
- Over-segmenting campaigns: Using small budgets across too many campaigns makes it difficult for the AI to find enough conversions to learn.
- Neglecting negative keywords: Even with automated bidding, you must control where your ads show up to ensure quality traffic.
What is the best way to start this week?
Start this week by auditing your current return metrics in your advertising dashboard. Look at the last 90 days of performance to identify your actual average Cost of Sale and your average Return on Ad Spend. If you have been using manual bidding, consider picking one campaign that has consistent volume and switching it to a target-based strategy. Use your historical average as the starting target rather than an aspirational number. Monitor that single campaign for three weeks to see if it meets your expectations before scaling the change to the rest of your account. This controlled move will help you understand how the algorithm performs for your specific inventory.
Frequently Asked Questions
Can I use both TCOS and TROAS at the same time?
You cannot use both on the same campaign simultaneously. Each campaign can only have one primary bidding strategy active. However, you can run different campaigns in the same account with different strategies to test which one performs better for specific product categories.
How many conversions do I need to start using these strategies?
While there is no hard requirement, it is recommended to have at least 15 to 30 conversions in the last 30 days. This gives the system enough information to identify patterns and make informed bidding decisions for your business.
Does changing my target affect my ranking?
Yes, changing your target directly affects how often you enter auctions and your position in those auctions. A lower target usually leads to fewer impressions, while a more aggressive target may increase your presence but also your costs.
What happens if my campaigns stop spending?
If your campaigns stop spending, your target might be set too low. The system cannot find enough auctions that meet your strict efficiency requirements. Try increasing your target or expanding your audience targeting to help the system find more opportunities.
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