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November 2024 - November 2025
Detailed observation of presented data
Education’s cost per purchase (CPP) ran structurally above the global benchmark throughout the period, but with far sharper swings. Across all countries, the Education median CPP averaged $66.36 versus a $49.33 global all‑industry average—about a 35% premium. The storyline is a year of surges and reversals: a climb into spring, a sharp mid‑year reset, a summer rebound, and an October low that narrowed the gap with the market.
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 Education in all countries compared to the global benchmark.
Education CPP opened at $62.52 in November, lifted into March ($70.71), and peaked in May at $76.14—the highest point of the year. A sudden correction followed in June ($57.71), before costs rebounded through July ($72.04) and September ($75.40). October then marked the low for the series at $52.51, closing 16% below November’s level.
Over the 12 months, Education’s median CPP ranged from $52.51 (October) to $76.14 (May), averaging $66.36 with a spread of about $23.6. Month‑to‑month moves were pronounced: average absolute change was $9.23, with notable swings of +$8.64 in May, −$18.43 in June, +$14.33 in July, +$12.52 in September, and −$22.89 in October.
By contrast, the global benchmark traced a gentler arc. It started at $42.61 in November, crested in February at $53.84, moderated into July ($47.15), ticked up in August ($50.45), and eased into October ($43.33). The market’s average monthly move was $2.58—roughly one‑third of Education’s volatility.
Seasonally, Education’s CPP firmed from late Q4 into early Q2, culminating in the May peak. The mid‑year sequence was whiplash: a May surge, a June reset, and a July rebound, followed by another climb into September. October defied the earlier pattern with the lowest CPP of the year, even as many categories typically see costs tighten into late Q4.
The rhythm suggests demand pockets around spring and late summer, with softer moments in early summer and early Q4. The market baseline followed a more typical, subdued curve—modest lift into February, mild cooling into mid‑year, and a flat finish.
Education across all countries remained above market each month. The premium to the global benchmark fluctuated from a narrow +20% in June to a wide +54% in September. Other wide gaps appeared in July (+53%) and May (+49%), while tighter gaps occurred in February (+22%) and October (+21%). On average, Education CPP was +35% above the global all‑industry level. While the market finished roughly flat from November to October (+2%), Education ended lower (−16%), compressing the differential by year‑end.
In sum, Facebook Ads benchmarks for cost per purchase show Education across all countries carrying a consistent premium over the global market, paired with markedly higher volatility. These CPP trends, set against the steadier global baseline, outline a year defined by spring peaks, mid‑year resets, and an unusually soft October. Understanding cost per purchase benchmarks for the Education industry in all countries helps quantify country‑specific ad costs and situate industry ad performance within broader CPM analysis and CTR performance narratives.
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 Education industry, Facebook ad costs can be moderate, with higher costs for professional and specialized courses. 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.
This dataset updates frequently as new ad data flows in. It will only get bigger and better.
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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