Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Hardware and Networking cost-per-purchase ran materially above the global benchmark for most of the 12‑month window, but the year closed with an abrupt collapse that flipped the gap. 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 Hardware and Networking in All countries available compared to the global benchmark.
The narrative is one of high peaks, steady mid-season swings, and a dramatic July trough. Hardware & Networking began July 2025 at a median cost per purchase of $67.97 and finished July 2026 at $16.04 — a decline of roughly 76% from start to finish. Across the period the industry average was about $79.6 per purchase, with a high of $130.85 in August 2025 and a low of $16.04 in July 2026. By contrast, the global baseline averaged about $47.6, peaking near $56.0 in March 2026 and bottoming at $19.69 in July 2026.
Notable monthly moves: a sharp spike in August 2025 (+~93 vs July), a secondary surge in March 2026 (~$125), and an extended descent through late spring into a steep drop in July 2026. The industry range (high minus low) was about $115, representing a ~716% climb from trough to peak; the global range was much narrower (~$36, ~184% peak-to-trough).
Volatility quantified: Hardware & Networking showed average absolute month‑to‑month moves near $26.2, compared with roughly $4.8 for the global baseline — roughly five times more variable.
Rhythm here moved from late‑summer pressure to a quieter late fall, then a pronounced Q1 rebound and Q2 softening. August 2025 and March 2026 stand out as cost spikes; November 2025 and the Q4 window were softer relative to mid‑year highs. A typical pattern emerges of higher acquisition costs around late summer and late winter/spring, followed by easing into late spring and a sudden collapse in midsummer. These month‑to‑month swings produced a jagged line rather than a smooth seasonal cycle.
Across the year Hardware & Networking costs were generally above market — on average about 67% higher than the global benchmark. For much of the period the industry trailed global benchmarks by being “above market” in cost terms: gaps of roughly +38% at the narrowest (July 2025) to +151% at the widest (August 2025). By the final month the relationship inverted: July 2026 shows the industry ~18% below the global level, reflecting the unusually low industry trough versus the global low.
Understanding COST_PER_PURCHASE benchmarks for Hardware and Networking across All countries available provides a clear lens on Facebook Ads benchmarks, CPC trends, CPM analysis and broader country-specific ad costs — useful context for comparing industry ad performance and CTR performance narratives against global patterns.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. In the Hardware and Networking 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.
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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.
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.
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