See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
July 2025 - July 2026
Detailed observation of presented data
Hardware and Networking cost-per-purchase ran consistently above the global benchmark across the 13-month window, with sharper spikes and deeper swings than market-wide CPM and CPC patterns. 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.
Cost-per-purchase for Hardware and Networking began at about $83 in June 2025 and finished at roughly $68 in June 2026, a net decline of about −19%. The full series averaged ~$97.45 per purchase, with a low of $64.32 (November 2025) and a peak of $155.0 (March 2026). Two distinct surge periods stand out: a late-summer spike to $148.5 in August 2025 and a Q1 2026 apex reaching $155 in March. Between those highs sits a mid-range cluster ($74–$94) across late 2025 into January 2026.
By contrast, the global baseline averaged ~$48.18, starting near $49 in June 2025 and ending at $25.50 in June 2026 (about −48%). Global highs and lows were more muted: a peak around $55.5 in March 2026 and a trough at $25.50 in June 2026.
Volatility in Hardware and Networking was material: average month-to-month absolute movement was about $28.8 versus roughly $4.2 for the global benchmark — roughly 6.8× more variable.
The rhythm shows two pronounced surges: late summer 2025 and late Q1 2026. August 2025 and March 2026 are the clearest high-cost months, suggesting concentrated pressure points rather than a steady ramp. The series also shows sharper step-changes into February and March 2026 (+~$61 and +$27 month-over-month moves) and a marked pullback into June 2026 (May→June fell ~40%).
Across Q4 2025 the metric softened from September’s ~$94 into November’s $64, then held in the mid-$60s through January 2026 before the Q1 rebound. The baseline followed a gentler seasonal shape, with its own March uptick and a deep drop into June 2026.
Hardware and Networking cost-per-purchase ran well above market levels for every month observed — roughly 32% to 184% higher than the global benchmark month-to-month. The gap was narrowest in December 2025 (about +33% over baseline) and widest in August 2025 (about +184%). While the global benchmark fell nearly 48% from start to finish, Hardware and Networking fell only ~19%, reflecting different seasonal amplitude and persistence of elevated costs in this industry.
The industry series was not only higher on average (≈$97.45 vs ≈$48.18) but substantially more volatile, with average monthly swings of ~$28.8 compared with ~$4.2 for the baseline — a clear indication of episodic cost pressure in Hardware and Networking across All countries available.
This look at cost-per-purchase trends for Hardware and Networking across All countries available offers a data-forward view of Facebook Ads benchmarks, CPC trends, CPM analysis, and CTR performance context — showing consistently higher, more volatile country-specific ad costs in this industry relative to the global benchmark.
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 Hardware and Networking 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.
Improve your Facebook ad performance
• Instant performance insights – See which ads, audiences, and creatives drive results.
• Data-driven creative decisions – Spot patterns to improve ROAS.
• Effortless reporting – No spreadsheets, just clear insights.
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.
Discover detailed cost benchmarks for different Facebook advertising metrics:
Average cost per click benchmarks across industries
Cost per thousand impressions across different markets
Benchmark click-through rates for Facebook ads
Cost per lead across different markets
Average cost per purchase benchmarks across industries
See how much it costs to get users to install an app