Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
The headline: cost-per-purchase in Consumer Goods tracked the global baseline closely for most of the year but finished the period markedly higher than the baseline trough — a year of spikes in early 2026 and a dramatic summer decline into July. 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 Consumer Goods in All countries available compared to the global benchmark.
From July 2025 to July 2026 the Consumer Goods median cost per purchase began at $48.62 and ended at $27.99 — a net drop of about 42% from the starting month. Over the 13-month window the Consumer Goods series averaged roughly $46.16 per purchase, with a high of $53.64 in March 2026 and a low of $27.99 in July 2026. The baseline (global) series averaged about $47.55, peaked at roughly $55.98 in March 2026, and bottomed at $19.69 in July 2026.
Key monthly moves: relatively small month-to-month changes through late 2025 gave way to a sharp October→November decline (Consumer Goods fell about $9.16, from $49.43 to $40.27), a rebound into winter, a pronounced March spike (+$7.63 vs February), another May spike, and then the steep June→July fall of ~36% for Consumer Goods. Average absolute month-to-month movement for Consumer Goods was about $4.91, indicating substantial month-level swings.
Rhythm across the year shows softer pockets in late Q4 and a notable early-year inflationary pulse that culminated in March. November 2025 marked a pronounced softening in the Consumer Goods cost-per-purchase before a modest holiday rebound in December and a steady rise through early Q1. March 2026 produced the strongest upward pressure (both selected and baseline peaked), and a secondary high appeared in May. The closing month of July 2026 saw sharp deflation — an abrupt summer trough — that pulled both series lower, with the global baseline dropping further than Consumer Goods in absolute terms.
These moves create a jagged seasonal profile: late-Q4 softness, a Q1 spike, mid-spring volatility, and a deep summer contraction rather than a smooth seasonal slope.
Across these months Consumer Goods ran marginally below the global benchmark on average (about 2.8% lower: $46.16 vs $47.55). Both series shared timing for peaks (March) and the ultimate trough (July), but the depth and shape of the July collapse differed: the global baseline fell to about $19.69 (nearly 60% down from its July 2025 start), while Consumer Goods landed at $27.99 (about 42% down). Volatility was comparable — Consumer Goods showed an average monthly movement of ~$4.91 versus ~$4.78 for the baseline, roughly a 2.8% higher swing. In short, Consumer Goods costs were slightly below average across the year but exhibited similar seasonal spikes and slightly sharper month-to-month swings.
Cost-per-purchase benchmarks for Consumer Goods across All countries available reveal a year of mid-season spikes and a pronounced summer decline; these figures sit close to global patterns while showing distinct July and March divergences. For marketers tracking Facebook Ads benchmarks, CPC trends, CPM analysis, CTR performance and broader country-specific ad costs, this industry ad performance snapshot for Consumer Goods in All countries available provides a clear, data-grounded view of recent purchase cost dynamics.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Consumer Goods 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 CPP 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.
Analyze Facebook ad performance
See which ads, audiences, and creatives drive results.
Spot creative patterns that affect ROAS.
Create reports without spreadsheets.
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.
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. A higher CPA can work when the margin supports it. Measure CPA 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 advertisers stay within a target CPA. It suits experienced advertisers who can monitor performance and adjust regularly. It provides more control and requires more effort.
Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.
Compare cost benchmarks for Facebook advertising metrics.
Cost per click benchmarks across industries
Cost per thousand impressions across markets
Click-through rate benchmarks for Facebook Ads
Cost per lead benchmarks across markets
Cost per purchase benchmarks across industries
App install cost benchmarks