See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type
January 2025 - January 2026
Detailed observation of presented data
Cost per Purchase in the Philippines ran well below the global benchmark but with far sharper swings. Across all industries, the Philippines averaged roughly $34 per purchase from December 2024 through November 2025, versus a $51 global median — about one-third lower overall. The year tells a choppy story: a deep January dip, a steady climb into April, a mid-year cool-down, an August spike to the annual high, and then a sharp November trough. Volatility was the defining trait.
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 in the Philippines compared to the global benchmark.
The period opened at $36.38 in December 2024 and closed at $12.90 in November 2025, a 65% decline end-to-end. The Philippines’ median Cost per Purchase (CPP) averaged $34.09 (median $34.23), ranging from a low of $12.90 in November to a high of $63.39 in August — a 4.9x spread. Month-to-month moves were large: January fell 54% from December, February roughly doubled, and April peaked at $51.51 before costs eased into July. The steepest lift came July to August, when CPP more than tripled (+206%), followed by a 46% pullback in September and a further 70% drop into November.
Volatility was pronounced. The average absolute monthly change in the Philippines was $17.72, nearly ten times the global benchmark’s $1.83. In contrast, global CPP stayed within a relatively tight $45–$55 band for most of the year.
Seasonality showed an inverted rhythm. After a soft January, CPP recovered through late Q1 and peaked in April — a period many industries see stabilizing conversion costs as Q1 matures. Mid-year softness emerged in May–July, then Q3 broke pattern with an August spike to the annual high before cooling again in September. Q4 was mixed: October stayed elevated versus early-year lows, but November marked the annual floor.
Globally, movement was steadier. Costs nudged higher through Q1, hovered in the low $50s across spring and summer, and then softened into November. The Philippines tracked some of that cadence (Q1 rebound, late-year easing) but with amplified amplitude.
Relative to Facebook Ads benchmarks worldwide, the Philippines ran consistently below market, averaging 33% under the global CPP. Month by month, the Philippines sat 30–45% below most of the year, with two notable exceptions: April came within 1% of parity, and August rose 22% above the global level. The widest gap appeared in November, when the Philippines was 72% below the global median.
Trend-wise, the global benchmark slipped 12% from December to November (51.50 to 45.42), while the Philippines fell 65% over the same span (36.38 to 12.90). The global curve was steady; the Philippines was materially more volatile, with abrupt lifts and drops shaping country-specific ad costs and overall industry ad performance.
Understanding Facebook Ads Cost per Purchase benchmarks for all industries in the Philippines — and how they compare to the global baseline — highlights a market with structurally lower CPP but significantly higher month-to-month variability. These CPP trends provide a clear read on country-specific ad costs and CTR/CPM/CPP performance patterns relative to worldwide Facebook Ads benchmarks.
Insights & analysis of Facebook advertising costs
Facebook advertising costs vary based on many factors including industry, target audience, ad placement, and campaign objectives. Different industries see varying ad costs due to market competition, user demographics, and conversion value. For campaigns targeting Philippines, advertisers should consider local market factors and user behavior. 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.
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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.
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Late November (Black Friday/Cyber Monday), December (Christmas and Rizal Day), June–August (Independence Day and National Heroes Day), Chinese New Year (January) and Eid observances
CPM and CPC might rise around Chinese New Year, Eid, and Independence Day for food, gifts, and travel categories. Late November–December retail campaigns see strong competition and elevated CPMs. Long weekend holidays could reduce weekday ad inventory while weekend awareness campaigns benefit from higher media consumption.
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.
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Cost per lead across different markets
Average cost per purchase benchmarks across industries
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