Meta (Facebook and Instagram) ads are one of the most effective customer acquisition channels for e-commerce brands. However, with increasing competition and iOS privacy changes, ROAS (Return On Ad Spend) management has become more strategic.
What is ROAS and What is an Ideal Value?
ROAS is calculated with the formula: Ad Revenue / Ad Spend. A 4x ROAS means 4 TL revenue for every 1 TL spent. The ideal ROAS value varies depending on your product's profit margin. For general e-commerce, 4x – 7x is a healthy target range.
6 Strategies to Increase ROAS
1. Simplify Your Campaign Structure
Meta's AI cannot complete the learning phase with cluttered campaign structures. Instead of many ad sets with small budgets, consolidate higher budgets into fewer ad sets. Advantage+ Shopping Campaigns are a strong option in this regard.
2. Work with Broad Targeting
Detailed interest-based targeting is no longer as effective as it once was. If your conversion data is sufficient (50+ conversions per week), Meta's algorithm can find the best audience on its own. Give the algorithm room with broad targeting.
3. Focus on Creative Content Testing
In 2024 and beyond, the biggest differentiator in ads is creative content. Test at least 3-5 different visuals/videos in each ad set. Turn off low-performing content and scale the winners.
- User-generated content (UGC) provides high credibility
- Short videos (15-30 sec) generally outperform images
- Product + benefit + social proof format is effective for conversions
4. Use Target ROAS Bidding Strategy
Instead of manual bidding, bidding strategies that work with "Highest Value" or a specific ROAS target optimize Meta's data usage. However, do not activate this strategy without sufficient conversion data in your account.
5. Do Not Neglect Top-of-Funnel Content
Running only conversion campaigns leads to high customer acquisition costs in the long run. Create a warm audience with brand awareness and traffic campaigns; then retarget this audience.
6. Adjust the Attribution Model Correctly
With iOS changes, Meta's attribution model has been limited. By properly setting up UTM parameters in your store, compare Shopify and GA4 data with Meta. Identify data gaps.
Mistakes to Avoid
- Turning off a campaign too early during the learning phase
- Showing too many different ad sets to the same audience (audience fatigue)
- Incomplete pixel setup
- Neglecting catalog updates
Conclusion
Success in Meta advertising is a process that requires continuous testing and optimization. To create a Meta strategy with high ROAS targets for your brand, contact Rivanti.