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July 2025 - July 2026
Detailed observation of presented data
Agriculture cost-per-purchase in the global aggregate started high, swung through sharp troughs, and finished the year somewhat lower than its opening peak — a story of volatility more than steady drift. Seasonally, the series shows deep dips in autumn and early-year months with rebounds in November and mid-summer; standout months are July 2025 (the highest agriculture CPCP) and October 2025 (the lowest). 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 Agriculture in All countries available compared to the global benchmark.
Across the 13-month window (Jul 2025–Jul 2026), median cost per purchase for Agriculture averaged roughly $43.3, ranging from a low near $33.22 (October 2025) to a high of about $61.58 (July 2025). The series began at $61.58 and closed at $53.78 — a net decline of about 12.7% from start to finish — but that masks large intra-year moves. Monthly swings averaged around $9.2 in absolute terms (about 21% of the mean), driven by several double-digit month-to-month shifts: a near-47% fall from July to October 2025 and a dramatic rebound into November, plus a sharp drop in February 2026 followed by a mid-year lift into July 2026.
For context, the global baseline median cost per purchase averaged roughly $47.6 over the same period. Agriculture’s $43.3 average sits about 9% below that global benchmark, but that gap is anything but stable month-to-month.
Seasonal rhythm is evident: costs slide through early Q4 into October (the series low), then rebound into November and show a spike in January before another softening in February. A relatively steady band appears from March through May, with another trough in June and a summer uptick in July. This pattern suggests recurring windows of softness in Q4 and early Q1, with intermittent mid-year recoveries. Volatility is concentrated around those transition months — October, January/February, and July — rather than being evenly distributed.
Compared to the global benchmark, Agriculture is more volatile and frequently below average. Month-by-month contrasts illustrate that: Agriculture was about 25% above the global baseline in July 2025, roughly level in January 2026 (+3%), and trailed by about 22–37% in several months (e.g., October −36%, February −33%, March −30%). The narrowest gap occurred in January when Agriculture was roughly even with the market; the largest negative gap hit in October (about −36%). The single largest positive divergence appears in July 2026 (+173%) — driven by a sharp drop in the baseline that month — creating an outlier in the comparative series. Overall, Agriculture’s monthly absolute moves (~$9.2) were roughly double the global monthly swing (~$4.8), indicating more choppy cost-per-purchase dynamics in the agriculture vertical versus the market baseline.
Understanding cost-per-purchase benchmarks for Agriculture in All countries available ties into broader Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance and country-specific ad costs as part of the wider picture of industry ad performance.
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 Agriculture 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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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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