Facebook Ads Insights Tool

Facebook Ads Cost Per Purchase Benchmarks for Construction in Philippines

See how your purchase costs compare. Explore ecommerce conversion cost benchmarks by industry, region, and campaign type

Cost Per Purchase for Construction in Philippines

October 2024 - October 2025

Insights

Detailed observation of presented data

Facebook Ads cost per purchase benchmarks: Construction in Philippines vs. global

This analysis looks at cost per purchase trends for industry Construction and target country Philippines compared to the global trend. The analysis is based on $3B worth of advertising data from our dataset, which provides strong directional benchmarks.

Key takeaways

  • No recorded data points were available for Construction in the Philippines during the period provided, so the comparison relies on the global baseline for directional context.
  • Globally, median cost per purchase averaged 47.8 across Oct 2024–Sep 2025, peaking in February and falling sharply by September.
  • Seasonality is clear: costs lift in December and stay elevated into Q1, then gradually ease through the summer with a pronounced drop at the end of Q3.
  • Month‑to‑month volatility in the global series was moderate on average, but September saw an outsized dip.

Dataset and scope

  • Metric: cost per purchase (median by month)
  • Industry: Construction
  • Country: Philippines
  • Timeframe: Oct 2024 to Sep 2025
  • Series: selected_data (Construction, Philippines) and global baseline

Global baseline trends

  • Average: 47.8
  • High: 53.9 in Feb 2025
  • Low: 32.3 in Sep 2025
  • Change from Oct 2024 to Sep 2025: −30.8%
  • Volatility:
  • Average absolute month‑to‑month move: 3.25 (about 6.8% of the average)
  • Largest month‑to‑month increase: +8.34 from Nov to Dec
  • Largest month‑to‑month decrease: −13.40 from Aug to Sep
  • Seasonal pattern:
  • Q4 holiday lift: a notable jump in December (51.5), continuing higher through January (52.3) and peaking in February (53.9).
  • Gradual cooling from March to August, followed by a sharp correction in September (32.3).

Selected segment (Construction, Philippines)

  • Data availability: No observations were provided for the period. As a result, averages, highs/lows, volatility, and month‑to‑month changes cannot be calculated for the selected segment.

Comparison to global baseline

  • Relative positioning: With no selected_data for Construction in the Philippines, we cannot determine whether local costs are above market, below average, or in line with overall trends.
  • Directional context: If future data follows the global pattern, expect higher costs in Q4 and early Q1 with a gradual easing into mid‑year; however, the magnitude of changes in the Philippines cannot be inferred from this dataset.

Notable movements in the global series

  • November to December spike (+8.34) aligns with holiday‑period pressure.
  • A steady step‑down from spring into summer culminates in a substantial drop from August to September (−13.40), bringing the series to its yearly low.

Understanding cost per purchase benchmarks on Facebook Ads in industry Construction and Philippines helps advertisers make more efficient budget and creative choices.

Understanding the Data

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 Construction industry, Facebook ad costs can be influenced by seasonal trends and market competition. 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.

Why we use median instead of average

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.

Key Factors Affecting Facebook Ad Costs

  • Competition within your selected industry and audience demographics
  • Ad quality and relevance score – higher quality ads can lower costs
  • Campaign objective and bid strategy
  • Timing and seasonality – costs often increase during holiday periods
  • Ad placement (News Feed, Instagram, Audience Network, etc.)

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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The data behind the benchmarks

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.

Philippines Advertising Landscape

National Holidays

Jan 1New Year's Day
Jan 29Chinese New Year
Apr 9Day of Valor
Apr 17Maundy Thursday
Apr 18Good Friday
Apr 19Black Saturday
May 1Labour Day
Jun 6Eid'l Adha
Jun 12Independence Day
Aug 21Ninoy Aquino Day
Aug 25National Heroes Day
Nov 1All Saints' Day
Nov 30Bonifacio Day
Dec 8Immaculate Conception
Dec 24Christmas Eve
Dec 25Christmas Day
Dec 30Rizal Day
Dec 31New Year's Eve

Key Shopping Season

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

Potential Advertising Impact

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.

What's a healthy cost per purchase for ecommerce brands?

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.

How does product price impact CPA benchmarks?

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.

Why are my purchase costs going up despite stable ROAS?

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.

Should I use manual bidding to control CPA more effectively?

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.

How do I scale spend without letting CPA skyrocket?

Increase budget gradually, rotate creative often, and avoid overlapping audiences. Scaling too quickly can lead to audience saturation and rising CPAs.