Compare lead generation cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Big swings define the story: Agriculture cost-per-lead (CPL) across All countries ran hotter and far choppier than the global benchmark over the past 12 months. 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 compared to the global benchmark.
At a glance, Agriculture started the period unusually low (about $25 per lead in July 2025), surged to multiple spikes (notably August 2025 and April 2026), and settled mid-year around $52 in June 2026. Compared with the baseline, the Agriculture series averaged materially higher CPLs and showed much larger month-to-month moves — a pattern that reads like a high-volatility market.
Agriculture CPL averaged roughly $65.20 across the 12 months, versus a global baseline average near $46.04 — about 42% above the benchmark. The low point was $25.21 in July 2025 and the high was $113.06 in April 2026. Start-to-end momentum shows a rise from $25.21 to $52.40 (about a 108% increase).
Month-to-month dynamics were dramatic: the largest single-month jumps occurred July→August (+$68.9) and August→September (a reversal of −$66.4). April 2026 was the peak month at $113, roughly 173% higher than the baseline that month (~$41.44). Conversely, September 2025 and December 2025 were troughs that sat about 40–42% below global levels.
Volatility is a headline. Average absolute monthly change was about $33.50 — roughly half of the series mean — compared with an average monthly swing of about $3.6 in the baseline. In other words, Agriculture CPL moved on average nearly ten times more dramatically month-to-month than the global benchmark.
Rhythms in the data read irregularly seasonal rather than calendar-steady. Late summer produced an acute spike and rebound (July low → August spike → September drop). Q4 was mixed: October hovered near the global level, November climbed, and December softened. Early Q1 saw renewed peaks (January and March), building to the April apex, before a multi-month softening into June.
These movements suggest episodic demand and supply shifts within the year—periods of concentrated increase followed by rapid pullbacks—rather than a smooth seasonal curve. That stop-start pattern creates a jagged monthly profile across the 12 months.
Across the year, Agriculture CPL in All countries exceeded the global benchmark in 8 of 12 months, and trailed it in 4 months. The average gap was +41.6% versus baseline. The narrowest gaps appeared in October and December (near-parity), while the widest divergence occurred in April (+~173%). Overall, Agriculture appears more volatile and generally above market median CPLs — a clearer contrast to the steadier global pattern.
Understanding Cost Per Lead benchmarks for Agriculture across All countries and how they diverged from global Facebook Ads benchmarks, CPC trends, CPM analysis and CTR performance helps frame country-specific ad costs and broader industry ad performance insights for performance marketers and creative strategists.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Agriculture industry, Facebook ad costs can be influenced by seasonal trends and market competition. Geographic targeting affects ad costs through regional competition and user engagement. Campaign objectives affect costs because Facebook optimizes delivery for different goals. The data shows median values across multiple campaigns. Results can vary with ad quality, audience targeting, and campaign optimization.
A small share of campaigns has extremely high CPL values. Those outliers can inflate an average. The median is the midpoint across campaigns, so it better represents a typical result.
The data shows industry median benchmarks. Costs can vary with targeting, creative quality, and campaign optimization.
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The dataset includes over $3B in Facebook ad spend from thousands of ad accounts that use Superads to analyze and improve campaigns. Every data point is anonymized and aggregated. It does not expose an individual advertiser.
The dataset updates as new ad data is available.
A good CPL usually ranges from $10 to $50, depending on your industry and target audience. B2C offers tend to be cheaper, while B2B or high-ticket services may see CPLs over $100.
Weak creative, irrelevant targeting, or an offer that does not resonate can raise CPL. Low engagement or poor landing-page conversion rates can also increase costs.
Yes. Campaigns optimized for conversions or leads tend to generate less expensive, more qualified leads than traffic or engagement objectives. Facebook uses the optimization signal to find users.
Improve the offer, target the right audience, and use high-converting creative. Test native lead forms while continuing to qualify users.
For sales or revenue goals, optimize for deeper-funnel conversions. Optimizing for leads alone can increase volume while reducing quality.
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