Use static-image and pin benchmarks to compare polished feed visuals, evergreen discovery graphics, and save-worthy image systems in the formats where motion is not always required to perform. Static-image engagement, saves, click-through rate, and evergreen visual discovery.
Organic social benchmarks for static-image posts, pins, evergreen visuals, and save-friendly image formats across Instagram, Pinterest, and Facebook.
| Context | Median | Top Quartile | Best For |
|---|---|---|---|
| Pinterest Vertical Pins | 0.9% | 1.5% | Evergreen visual discovery and planning intent |
| Instagram Static Images | 0.9% | 1.6% | Brand aesthetics and proof-heavy storytelling |
| Product or Use-Case Visuals | 0.8% | 1.3% | Inspiration and collection-building |
| Poorly Cropped Horizontal Assets | 0.4% | 0.7% | Showing the formatting penalty on image-first platforms |
These top-level pages work best when they explain why benchmark ranges shift before a user drills into the narrower benchmark route.
| Driver | Impact |
|---|---|
| Image clarity and whether the visual communicates the benefit before the caption has to do all the work | Static-image engagement, saves, click-through rate, and evergreen visual discovery. |
| Platform-specific formatting, especially vertical Pinterest assets versus square or portrait Instagram assets | Static-image engagement, saves, click-through rate, and evergreen visual discovery. |
| Whether the image is save-worthy, reference-worthy, or otherwise useful beyond a single impression | Static-image engagement, saves, click-through rate, and evergreen visual discovery. |
| The strength of the caption or title in creating context and click-through curiosity | Static-image engagement, saves, click-through rate, and evergreen visual discovery. |
Organic social benchmarks for static-image posts, pins, evergreen visuals, and save-friendly image formats across Instagram, Pinterest, and Facebook.
Use static-image and pin benchmarks to compare polished feed visuals, evergreen discovery graphics, and save-worthy image systems in the formats where motion is not always required to perform.
Use static-image and pin benchmarks to compare polished feed visuals, evergreen discovery graphics, and save-worthy image systems in the formats where motion is not always required to perform.
Use static-image and pin benchmarks to compare polished feed visuals, evergreen discovery graphics, and save-worthy image systems in the formats where motion is not always required to perform.
Use static-image and pin benchmarks to compare polished feed visuals, evergreen discovery graphics, and save-worthy image systems in the formats where motion is not always required to perform.
The Benchmarketing 4-Band Method. The Benchmarketing 4-Band Method reads every marketing metric against four percentile bands — P25 (bottom quartile), median, P75 (top quartile), and elite (top ~10%) — for a specific industry and channel, instead of a single cross-industry average. Averages blend brand and non-brand campaigns, $500/month and $500,000/month accounts, and unrelated industries into a number almost nobody actually has.
Where the numbers come from. The figures on this page come from the Benchmarketing benchmark dataset — thousands of curated benchmark observations across channels, industries, and US metro areas. Every statistic traces to a named source: WordStream Google Ads Benchmarks (2024), Meta Business Insights (2024), HubSpot Email Marketing Report (2024), Unbounce Conversion Benchmark Report (2024), Databox Marketing Benchmark Report (2024), Benchmarketing Platform Data (2023–2024). Benchmarketing does not publish anonymous "studies show" figures.
The Benchmarketing position. Beating the cross-industry average is a vanity milestone, not a target. Compare your number to the P25–P75 band for your specific industry and channel; if you are above average but below your industry's P75, you are leaving performance on the table.
They still matter in a video-heavy environment? Because some platforms, especially Pinterest, still reward evergreen visuals with utility and search-like intent.
They share one target? Only at a high level. Pinterest behaves more like visual search, while Instagram is more feed- and relationship-driven.