Compare ecommerce conversion cost benchmarks by industry, region, and campaign type.
October 2025 - September 2026
Benchmark observations based on the selected data
Israel’s cost-per-purchase trajectory told a story of momentum and sharp swings: lower than the global benchmark across the year, with an early autumn peak, a dramatic Q4 drop, a shallow winter trough, and a volatile spring rebound. 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 All industries available in Israel compared to the global benchmark.
For All industries in Israel, median cost per purchase averaged about 32.2 over the 12-month window (Jul 2025–Jun 2026). The Israeli series began at 39.62 in July 2025 and closed at 30.59 in June 2026, a net decline of roughly 23% from start to finish. The high point was 47.41 in October 2025; the low was 16.49 in May 2026. That peak-to-trough swing represents a roughly 65% fall from October to May.
Month-to-month moves were large: average absolute change between months was about 8.3 cost units. The single largest monthly swing was October→November (a 44.8% drop, from 47.41 to 26.18). Israel recorded several sharp rebounds (e.g., May→June +85.5%) and mid-season spikes (Aug→Oct climb into the October peak), producing an overall pattern of spikes and corrections rather than a steady trend.
By contrast, the global (baseline) median cost per purchase averaged about 49.9 over the same months, with a narrower range — a high of ~56.0 in March 2026 and a low of ~43.0 in June 2026. Global month-to-month moves averaged about 3.1 cost units, markedly calmer than Israel’s.
The Israeli series showed a classic autumn lift into October followed by an abrupt Q4 softening in November. November’s drop was followed by a partial recovery in December, a winter trough across January–February, then a spring recovery spike in March and volatile declines into April–May before a late rebound in June. May stood out as the softest month (16.49), interrupting a pattern of alternating rebounds and pullbacks.
The global pattern was more rhythmic: a build into a March peak and a gradual pullback toward June. Where the global rhythm suggested a single seasonal pulse into late winter, Israel’s rhythm was punctuated by steeper, less predictable swings across Q4 and late spring.
Across the year Israel’s median cost per purchase ran about 35% below the global median (32.2 vs. 49.9). Relative positioning varied: at its narrowest gap Israel was roughly 23% below the global level (periods around Jul–Oct when Israel climbed toward the peak); at its widest, Israel was about 66% below the global peak-to-trough comparison when local costs collapsed into May. Volatility-wise, Israel was roughly 2.7× more volatile than the global benchmark (average monthly absolute move ~8.3 vs ~3.1).
These differences underscore a market with lower average cost-per-purchase but higher month-to-month volatility compared with the global baseline — a pattern visible across All industries in Israel.
Understanding Facebook Ads Cost Per Purchase benchmarks for all industries in Israel helps advertisers compare country-specific ad costs and appraise industry ad performance versus global patterns.
Facebook advertising cost benchmarks
Facebook advertising costs vary by industry, target audience, ad placement, and campaign objective. Ad costs vary across industries because of competition, audience demographics, and conversion value. For campaigns targeting Israel, advertisers should consider local market factors and user behavior. 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.
Passover (April), Sukkot and Fall holidays (Sept–Oct), Hanukkah (December)
CPM and CPC may rise during Passover as consumers prepare homes and plan meals. Media consumption may change during the fall holidays: consumers are often offline during holidays, while advertising demand may peak in the prior week. Yom HaAtzmaut may increase tourism and leisure engagement. Hanukkah may raise e-commerce CPMs for toys and electronics.
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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