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July 2025 - July 2026
Detailed observation of presented data
Colombia’s cost-per-purchase story over the last 13 months reads like a market with two moods: a long run of below-global costs punctuated by dramatic spikes. 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.
Starting in July 2025, Colombia’s median cost per purchase sat at roughly $43 and finished in July 2026 at about $19 — a net decline of roughly 54%. Across the period the Colombian series averaged about $79 (mean) but the typical month looked much lower: the median cost was roughly $39.7. The month-to-month range was extreme — a low of $19.69 (July 2026) and a peak of $508.75 (June 2026). Outside that extreme June spike, Colombia commonly landed in the $20–$100 band: modest troughs around $20–$40 (Sept 2025, May 2026, July 2026) and notable lifts into the $60–$95 range in early 2026 (Jan–Apr).
Key monthly moves include a steady softening from July through September 2025 (about $43 → $21), a rebound into year-end to roughly $40 in December, a sharp jump in January 2026 to ~$96, and then an extraordinary breakout in June 2026 to ~$509 followed by a collapse back to ~$19 in July 2026. Volatility, measured as average absolute month-to-month change, ran roughly 98 points — driven largely by the June/July swing.
The rhythm shows softer mid-year pockets (late Q3 into Q4 2025 with costs mostly under $40) and a visible uptick into early 2026, where January and the first half of the year saw costs lift into the $60–$95 area. May 2026 dipped again to roughly $22 before the extreme June surge. The end of the window (July 2026) closed at the series low. These patterns create a jagged seasonality rather than a smooth quarterly arc, with the biggest single-month moves occurring in the transition from May to June and June to July 2026.
Compared with the global benchmark, Colombia sits below typical global levels for most months but with intermittent periods of above-market cost. The global baseline averaged about $47.6 over the same period with a median near $49.8 and much lower month-to-month volatility (average absolute change ≈ 4.8 points). Colombia trailed the global median in 7 of 13 months, exceeded it in 5 months (notably Jan–Apr and June 2026), and matched it in July 2026. At its most atypical moment, Colombia’s cost per purchase was more than ten times the global median (June 2026); at its narrowest gap it was roughly 20–30% below the global median in several mid-period months.
Understanding Colombia’s cost-per-purchase behavior in All industries offers a vivid contrast to steadier global Facebook Ads benchmarks — a reminder of how country-specific ad costs and industry ad performance can diverge. Cost-per-purchase benchmarks for All industries in Colombia illuminate both episodic spikes and longer stretches of below-average costs for advertisers evaluating CPC trends, CPM analysis, and CTR performance context.
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:
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
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