What Is a Good Engagement Rate on Threads in 2026?
Threads hit 350 million monthly active users in 2026 — and its engagement rates remain dramatically higher than the platforms it's replacing in many creators' content strategies.
The platform median is 3.8% — roughly double Twitter/X's 1.9%, and higher than LinkedIn's 3.1%. For accounts in the right niches, the numbers are significantly better.
These benchmarks come from SociaVault Labs' analysis of 18,000 Threads accounts, tracked over a 90-day window in early 2026.
Threads Engagement Rate Formula
Threads ER = (Likes + Replies + Reposts + Quotes) / Impressions × 100
Threads includes all four interaction types in its engagement count. For follower-based comparison, some analysts use followers as the denominator instead of impressions — both are valid, but impressions-based is more accurate for cross-account comparison.
For this study, we used impressions as the denominator to match the methodology in our LinkedIn, Pinterest, and YouTube benchmarks.
Threads Engagement Rate by Account Size
| Tier | Followers | Median ER | 25th Pctl | 75th Pctl |
|---|---|---|---|---|
| Nano | Under 10K | 6.71% | 4.12% | 9.34% |
| Micro | 10K–50K | 4.89% | 3.21% | 6.77% |
| Mid | 50K–200K | 3.42% | 2.34% | 4.91% |
| Macro | 200K–1M | 2.14% | 1.43% | 3.16% |
| Mega | 1M+ | 1.24% | 0.71% | 1.87% |
Platform median: 3.8%
Nano-to-mega gap: 5.4× — the largest we've measured across any platform
Why Threads Has Such a Large Nano Advantage
Threads launched in 2023 and is still in a growth phase where organic reach is deliberately amplified. Meta's strategy is to build the creator ecosystem before monetizing it — similar to TikTok in 2018–2020 and Instagram in 2012–2015.
In this phase, algorithmic reach is less restricted. Small accounts with engaged niche audiences can see their content surface widely — in ways that would require much larger followings on mature platforms like Instagram or Facebook.
The practical implication: a 5,000-follower Threads account with tight niche content can reach and engage far beyond its follower base. Early mover advantage on Threads is real and measurable.
Threads Engagement Rate by Content Type
| Content Type | Median ER | vs. Platform Avg |
|---|---|---|
| Question posts | 6.14% | +62% |
| Hot takes / opinions | 5.87% | +55% |
| Lists / threads (multi-post) | 4.92% | +30% |
| Replies to trending topics | 4.71% | +24% |
| News commentary | 4.13% | +9% |
| Standard text post | 3.80% | Baseline |
| Link posts | 2.41% | -37% |
| Promotional posts | 1.74% | -54% |
Questions dominate. Threads was built as a conversation platform, and the algorithm rewards content that generates replies. A well-framed question that invites sharing personal experience or taking a position consistently drives the highest engagement rates.
Opinions and hot takes outperform neutral content — again, because they generate replies. A post that takes a clear stance invites agreement, disagreement, and nuance from the audience. Bland observations get scrolled past.
Link posts underperform significantly. Threads, like most social platforms, suppresses external link distribution. Content that keeps users on the platform gets boosted; content that drives them off gets penalized. For link-heavy content strategies, Threads is not the right channel.
Threads Engagement Rate by Niche
| Niche | Median ER | Reply Rate | Repost Rate |
|---|---|---|---|
| Tech / AI / Dev | 5.24% | 2.31% | 1.47% |
| Media & Journalism | 4.97% | 2.71% | 1.36% |
| Marketing & Growth | 4.63% | 1.94% | 1.18% |
| Politics & Current Events | 4.48% | 3.12% | 0.91% |
| Comedy / Meme | 4.31% | 1.63% | 2.07% |
| Fitness & Health | 3.92% | 1.44% | 0.98% |
| Food & Cooking | 3.71% | 1.22% | 0.87% |
| Fashion & Beauty | 3.24% | 1.01% | 0.72% |
| E-commerce / DTC | 2.87% | 0.84% | 0.63% |
| B2B / SaaS | 2.31% | 0.92% | 0.47% |
Tech and AI content leads. Threads' early adopter user base skews heavily toward tech workers, developers, and AI enthusiasts. Content in these categories resonates with the audience that's already on the platform — a distribution advantage that other platforms don't offer to the same degree.
Media and journalism have unusually high reply rates (2.71%). News commentary and live-event discussion drives reply behavior — Threads is increasingly the platform where journalists, analysts, and engaged news consumers react to breaking events in real time.
B2B and SaaS sit at the bottom. The Threads audience is less receptive to B2B commercial content compared to LinkedIn. Accounts in these categories should focus on thought leadership and industry conversation rather than product promotion.
Reply-to-Like Ratio: The Metric That Matters on Threads
Unlike other platforms where likes dominate engagement, Threads' algorithm weights replies heavily. We measured the reply-to-like ratio across high-performing and low-performing accounts:
| Performance Tier | Avg Likes | Avg Replies | Reply-to-Like Ratio |
|---|---|---|---|
| Top 10% | 847 | 312 | 1:2.7 |
| Average | 284 | 44 | 1:6.5 |
| Bottom 25% | 91 | 8 | 1:11.4 |
Top-performing Threads accounts generate roughly 1 reply for every 3 likes. Average accounts generate 1 reply per 6.5 likes. The high-reply content gets algorithmically amplified — more people see it because the conversation signals active value.
The practical implication: If your Threads content generates likes but no replies, it's performing poorly for organic growth, even if the absolute like count looks decent. The reply rate is the signal to optimize for.
Year-over-Year: Threads Engagement Is Declining (As Expected)
| Period | Median ER | Change |
|---|---|---|
| Q3 2023 (launch) | 8.4% | — |
| Q1 2024 | 6.1% | -27% |
| Q1 2025 | 4.9% | -20% |
| Q1 2026 | 3.8% | -22% |
Engagement rate decline on a growing platform is normal — it reflects more content competing for the same audience attention, and an algorithm being gradually tuned for quality over quantity.
Threads' trajectory mirrors Instagram's early years: extremely high initial engagement, declining as the platform matures and competition for feed space increases. Accounts that built audiences during the high-ER early period are now sitting on highly engaged follower bases with declining ER but increasing absolute reach.
The window for outsized organic growth on Threads is still open — but it's closing. 2026–2027 is likely the last period where a new account can grow rapidly with pure organic content.
How to Track Threads Engagement with an API
Monitor your own accounts or benchmark competitors with SociaVault:
import requests
API_KEY = "your_sociavault_api_key"
BASE_URL = "https://api.sociavault.com"
def analyze_threads_account(username):
profile = requests.get(
f"{BASE_URL}/v1/scrape/threads/profile",
params={"username": username},
headers={"X-API-Key": API_KEY}
).json()
posts = requests.get(
f"{BASE_URL}/v1/scrape/threads/posts",
params={"username": username, "limit": 20},
headers={"X-API-Key": API_KEY}
).json().get("posts", [])
ers = []
reply_ratios = []
for post in posts:
imp = post.get("impressions", 0)
if imp == 0:
continue
likes = post.get("likes", 0)
replies = post.get("replies", 0)
reposts = post.get("reposts", 0)
quotes = post.get("quotes", 0)
er = (likes + replies + reposts + quotes) / imp * 100
ers.append(er)
if likes > 0:
reply_ratios.append(replies / likes)
return {
"username": username,
"followers": profile.get("followers"),
"avg_er": round(sum(ers) / len(ers), 2) if ers else 0,
"avg_reply_to_like": round(sum(reply_ratios) / len(reply_ratios), 3) if reply_ratios else 0,
"posts_analyzed": len(ers)
}
accounts = ["yourhandle", "competitor1", "competitor2"]
for acc in accounts:
result = analyze_threads_account(acc)
print(f"@{result['username']}: {result['avg_er']}% ER | "
f"Reply:Like = 1:{round(1/result['avg_reply_to_like']) if result['avg_reply_to_like'] > 0 else 'N/A'} | "
f"{result['followers']:,} followers")
What "Good" Looks Like on Threads
| Engagement Rate | Verdict |
|---|---|
| Above 6% | Exceptional — strong niche, question-driven, algorithm favorite |
| 4–6% | Strong — above platform median |
| 2–4% | Average — normal across most niches and sizes |
| 1–2% | Below average — optimize content format and reply-driving hooks |
| Under 1% | Poor — likely too promotional or wrong content type for platform |
FAQ
Is Threads better than Twitter/X for engagement?
By raw engagement rate, yes. Threads' platform median (3.8%) is roughly double Twitter/X's (1.9%). Whether that translates to business value depends on your audience — Twitter/X has a larger and more established audience for many topics, particularly finance, politics, and crypto.
Should I cross-post from Twitter/X to Threads?
It depends. Direct reposts often underperform because Twitter-native content (quote tweets, threads referencing prior context) doesn't land as well on Threads. Content that natively asks questions or invites replies tends to outperform repurposed Twitter content.
What time should I post on Threads for best engagement?
Our data shows Tuesday–Thursday, 8–10 AM and 6–8 PM local time consistently outperform weekend and off-hours posting. The platform skews toward professionals and news-engaged users who are active during standard business-adjacent windows.
How does Threads compare to Instagram for the same brand?
Threads generates higher per-post engagement rates but lower absolute reach for established accounts. Most brands see better ER on Threads (less noise, more conversation) but more total impressions from Instagram (larger audience). Running both in parallel with platform-native content strategies typically outperforms cross-posting.
Related: Good Engagement Rate on LinkedIn · Good Engagement Rate on Pinterest · Good Engagement Rate on YouTube
Found this helpful?
Share it with others who might benefit
Ready to Try SociaVault?
Start extracting social media data with our powerful API. No credit card required.