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June 2025 - June 2026
Detailed observation of presented data
Entertainment's cost-per-purchase trajectory ran well below the global benchmark across the 12‑month window, with choppy month-to-month movement and two clear turning points. This analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks. This analysis explores ad performance trends for Entertainment in All countries available compared to the global benchmark.
From June 2025 ($24.71) to May 2026 ($30.25) Entertainment finished about 22% higher than where it began, but the path was uneven. Entertainment’s median cost per purchase averaged roughly $31.9, ranging from a low of $22.85 in February 2026 to a high of $41.21 in November 2025. By contrast, the global baseline averaged about $49.8 over the same months, with its own trough at about $42.17 (May 2026) and a peak near $55.51 (March 2026). On average, Entertainment ran ~36% below the global cost-per-purchase level.
Volatility was higher inside Entertainment: average month‑to‑month absolute movement was about $5.0 versus roughly $3.1 for the global benchmark — roughly a 62% higher month-to-month swing for Entertainment. Significant monthly moves included a steep lift into August 2025 (up ~10.5 from July), a spike to the November high, and a sharp decline into February 2026.
Rhythm across the year shows distinct pockets of pressure and relief. Entertainment moved up into late summer and held elevated levels through a November peak, then declined sharply into a February trough before a partial rebound in March and steadying through spring. The global baseline displayed a different cadence: steadier late‑summer levels, a marked rise into March 2026, and a subsequent pullback toward May. These patterns created alternating windows where industry ad costs tightened versus the broader market.
Across all months, Entertainment was consistently below market — the gap narrowed to its smallest margin in November 2025 (about 11% below global) and widened to its largest in February 2026 (about 54% below global). While the global trend showed a strong Q1 lift (peak in March), Entertainment’s peak occurred earlier in November and its trough arrived in February, making the Entertainment curve both lower and more volatile than the broader benchmark.
Understanding Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance alongside cost-per-purchase dynamics provides a fuller picture of industry ad performance and country-specific ad costs data for Entertainment in All countries available.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. In the Entertainment industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs based on market competition and user engagement in different regions. Different campaign objectives lead to varying costs based on how Facebook optimizes for your specific goals. The data shown represents median values across multiple campaigns, and individual results may vary based on ad quality, audience targeting, and campaign optimization.
We use the median CTR because the underlying distribution of click-through rates is highly skewed, with a small share of campaigns achieving extremely high CTRs. These outliers can inflate a simple average, making it less representative of what most advertisers actually experience. By using the median—which sits at the midpoint of all campaigns—we provide a more rigorous and realistic benchmark that reflects the true underlying data model and helps you set attainable performance expectations.
Note: This data represents industry median values and benchmarks. Your actual costs may vary based on specific targeting, ad creative quality, and campaign optimization.
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All data is sourced from over $3B in Facebook ad spend, collected across thousands of ad accounts that use Superads daily to analyze and improve their campaigns. Every data point is fully anonymized and aggregated—no individual advertiser is ever exposed.
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It depends on your product price and margins. Most brands aim for $10 to $50. For higher-ticket products, a higher CPA may be acceptable as long as you're maintaining a strong return on ad spend.
Higher-priced products typically have a higher CPA because people take longer to convert. That's not necessarily a problem if your margin can support it. You should measure CPA in context with AOV and LTV.
Your AOV may be increasing, which helps maintain ROAS even if CPA rises. You could also be facing higher CPMs, lower conversion rates, or creative fatigue.
Manual bidding can help if you're struggling to stay within target CPA. It's best used by experienced advertisers who can monitor performance and adjust regularly. It gives more control, but also requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
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