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July 2025 - July 2026
Detailed observation of presented data
Headline: Finance cost-per-purchase began the period well below the market, then swung violently above it — ending the year far higher than the global benchmark. 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 Finance in All countries available compared to the global benchmark.
Finance cost-per-purchase started at about $19.4 in June 2025 and finished at $163.15 in June 2026 — roughly a 740% lift from start to finish. Across the 13 months the Finance series averaged about $55.0 per purchase (median-series mean), with a low of $19.4 (June 2025) and a peak of $163.15 (June 2026). By contrast the global baseline averaged about $48.2, with a range from $25.5 to $55.5.
Month-to-month swings were pronounced in the Finance series. Notable moves: an early summer rise into August (~$47), a jump to $72.4 in November (+81% vs October), a dramatic spike to $94.3 in February (+242% vs January), and the extreme peak of $163.2 in June 2026 (+314% vs May). After the February spike, Finance fell back to ~$50 in March before drifting in the $39–$50 band until the final surge. Overall volatility was high: the Finance standard deviation was roughly $37 (coefficient of variation ~67%), compared with the baseline std. dev. of about $7 (CV ~15%).
Rhythm across the year shows alternating pockets of relative calm and sharp lifts. Summer 2025 moved from a low in June into a modest lift through August. Late-year competition patterns are visible with a sizable lift in November and a drop in December. Q1 2026 was choppy: January was comparatively low (~$27.6), February produced a strong lift (~$94.3) followed by a rebound to mid-range in March. Spring months (April–May) sat near the $39–$41 zone before the large June escalation. The baseline trend is steadier, with small seasonal moves and a notable trough in June 2026 at $25.50.
Relative phrasing: Finance began well below the global trend — about 60% lower than baseline in June 2025 — and spent much of 2025 generally under market levels (e.g., August ~10% below baseline). From November 2025 through March 2026 the series oscillated above and below the market: November was ~56% above baseline; February peaked ~88% above baseline; March was slightly (~9%) below. The gap widened dramatically by June 2026 when Finance was roughly 540% above the global baseline, marking the widest divergence in the period. In aggregate Finance ran about 14% above the global benchmark on average across the year, but with far greater volatility and episodic spikes compared to the steadier baseline.
Understanding cost-per-purchase benchmarks and the wider spread between Finance and the global baseline in All countries available helps frame Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance context, and broader country-specific ad costs and industry ad performance for Finance across international markets.
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 Finance industry, Facebook ad costs can be typically higher due to high competition and valuable conversions. 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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