Use Threads benchmarks as references, not promises

Metricool's 2026 social media study reports 39,762,999 organic posts and 1,059,949 connected accounts across ten platforms. Within that sample, Threads averaged 1,536 impressions and nearly 25 interactions per post. That is a useful reference because it gives teams an external starting point. It is not a promise.

The sample consists of accounts connected to Metricool, including scheduled and directly published posts. It is not the full Threads population, and it is not segmented here by country, account size, category or language. A Hong Kong retail brand, a Thai creator programme and a B2B research account should not expect the same baseline.

Build a baseline, then compare

The practical use of the benchmark is methodological. Teams can create their own six-to-eight-week baseline across a stable set of topics. For each post, record topic, format, publication time, impressions, interactions, replies, link visits where available and whether discovery came from Threads or other Meta apps.

Meta's product updates support that workflow. Threads Insights can show performance over seven to 90 days and where content was discovered; the web product supports custom feeds and saved posts; Meta's broader update reports a 20% time-spent lift from Q4 optimisations. These signals make measurement more feasible, but they do not remove the need for local baselines.

Avoid average-driven decisions

Averages hide distribution. A new account with one relevant community may outperform a larger account on reply quality while underperforming on impressions. A post boosted by cross-app discovery may distort the average. A topic with fewer interactions may still produce stronger qualified messages.

The benchmark should therefore be used as a diagnostic question: why are we above or below this external sample? The answer may be audience fit, topic maturity, posting cadence, language, market availability, creator reputation or simple sample size.

So what

Threads benchmarks are useful when they force disciplined measurement. The next action is to publish 24 posts across six to eight weeks, grouped by topic, and calculate the account's own median impressions, median interactions, reply quality and downstream actions. Use Metricool only as an external reference line.