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Why You Should Be Testing Your Facebook Ad Placements

Why You Should Be Testing Your Facebook Ad Placements

When running Facebook ad campaigns, advertisers often focus on audience targeting, creatives, and budgets—while ignoring one crucial factor: ad placement. With Facebook offering a variety of placements including Feeds, Stories, Reels, In-stream videos, Marketplace, and more, knowing where your ad performs best can dramatically impact your results.

The Impact of Ad Placement on Campaign Performance

Meta's own research shows that automatic placements can decrease cost-per-result by over 20% compared to manual placements. However, relying solely on automatic settings without testing can leave potential performance gains on the table.

 Bar chart comparing ad performance metrics—CTR, CPC, and ROAS—across Facebook placements such as Feeds, Stories, Reels, and Marketplace.

Performance Comparison Across Facebook Ad Placements: Different placements drive significantly varied results. Stories and Reels often outperform Feeds in CTR and ROAS.

Each placement has its own user behavior pattern and content type. For instance, Stories are vertical and consumed quickly, while Feed posts are more static and scrollable. Without testing, you may be spending budget on low-performing placements that aren’t aligned with your campaign objectives.

Data-Driven Justification

  • Facebook users spend an average of 33 minutes per day on the platform, but how and where they engage with content varies significantly by format.

  • A study from Social Insider found that Stories have a 5.65% higher tap-forward rate than Feed posts, which can indicate lower engagement if your content isn't optimized.

  • Advertisers that tested placements saw up to 71% higher return on ad spend (ROAS) by reallocating budget to their best-performing placements.

How to Test Ad Placements Effectively

Testing doesn't require a complete overhaul. Here's a simple approach to get started:

  1. Start with Automatic Placements: Let Meta distribute your ads across all placements to collect initial performance data.

  2. Review Placement-Level Metrics: Use Ads Manager to analyze results by placement. Focus on metrics like CTR, CPM, CPC, and ROAS.

  3. Create Placement-Specific Ad Sets: Once you identify strong placements, create separate ad sets tailored to those formats.

  4. Customize Creatives: Adapt your creative assets to fit different placements. For example, use vertical video for Stories and Reels.

Effective Testing Workflow: A strategic process for identifying and optimizing your top-performing Facebook ad placements.

This testing approach ensures your ads are not only shown where your audience is most engaged but are also visually optimized for those environments.

Avoid Wasting Budget with Untested Placements

One of the major challenges in Facebook advertising is ad budget optimization. Without placement testing, you risk overspending on underperforming formats. In our article on How to Avoid Wasting Your Facebook Ad Budget, we explain how careful placement analysis is a powerful lever in boosting ROI.

Optimize for Your Campaign Goals

Different placements suit different objectives. For example:

  • For brand awareness, Feeds and In-Stream videos might work better due to higher visibility.

  • For conversion campaigns, Stories and Reels often perform better with mobile-first users.

  • For retargeting, right-column and Marketplace ads can drive low-cost engagements.

Tailoring placements to your campaign goals ensures that your Facebook ad optimization strategy is aligned with performance metrics that matter.

Final Thoughts

Testing your Facebook ad placements isn't optional—it's essential. With ad costs continuing to rise, advertisers need every advantage to stay competitive. Proper testing allows for smarter audience targeting, better creative performance, and improved conversion tracking.

If you're serious about maximizing results, check out our detailed guide on Top Facebook Ad Optimization Strategies to learn how testing fits into a holistic optimization plan.

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