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July 2025 - July 2026
Detailed observation of presented data
Colombia’s cost-per-purchase (COST_PER_PURCHASE) moved from an extreme outlier into a much softer range over the 12 months observed, ending the period well below the global median. 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 Colombia compared to the global benchmark.
The series opened in June 2025 at a pronounced peak (172.8) and finished in May 2026 at 22.1 — an 87% decline from start to finish. Across the year Colombia’s median cost-per-purchase averaged about 55.8, versus the global median (same months) of roughly 50.1 — a modest +11.6% gap driven largely by a handful of big spikes. The high-water mark was June 2025 (172.8); the low was September 2025 (20.7). Other notable highs appear in January 2026 (95.8) and April 2026 (73.9); the mid-period months (July–December 2025) sat mainly in the low-to-mid 20s–40s.
Month-to-month movement was dramatic. Colombia’s average absolute monthly swing was roughly 30.5 points, with the single largest drop coming from June→July (−129.8). By contrast the global baseline averaged only ~2.8 in monthly swing, making Colombia roughly 10–11× more volatile over the same window.
The rhythm was uneven. Early Q3 (July–September 2025) saw a rapid normalization from the June spike, with September bottoming at ~20.7. Q4 held a moderate plateau (mid-20s to ~40), while January 2026 produced a sharp rebound to ~96 — the second major spike in the period. February–April 2026 maintained elevated levels (mid-60s to mid-70s) before another drop into May. Overall, the pattern reads as two concentrated peaks (June 2025 and January 2026) separated by a softer late-summer trough and a return to mid-year elevated costs before the close.
Relative to the global benchmark, Colombia alternated between above- and below-market months. Colombia was substantially above global levels in June (roughly 3.5× the baseline) and again in January–April (January ~94% above; April ~49% above). It was below the global median across several months — most pronounced in September (about 61% below global) and May (about 51% below). The narrowest gap occurred in March, where Colombia sat roughly 2% above the global median. Across the year the global trend stayed relatively steady (~50), while Colombia’s series was far choppier and subject to abrupt spikes and corrections.
Understanding these movements helps contextualize Facebook Ads benchmarks, CPC trends and CPM analysis alongside CTR performance and country-specific ad costs when reviewing industry ad performance.
Understanding Facebook Ads COST_PER_PURCHASE benchmarks for All industries in Colombia helps advertisers evaluate country-specific ad costs and compare industry ad performance to global patterns.
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 Colombia, 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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Late November (Black Friday/Cyber Monday), December (Christmas), Mid‑year promotions around Independence Day (Jul 20) and Children's Day (Oct 13)
CPM and CPC might increase during long weekends and holidays like Independence Day due to heightened leisure media consumption. Major e‑commerce events could result in sharp spikes in retail competition. June holidays could disrupt typical ad pacing. Many holidays shifted to Mondays make weekend campaigns perform 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:
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Cost per lead across different markets
Average cost per purchase benchmarks across industries
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