Best Time to Post on LinkedIn in 2026: What the Studies Actually Say

Search for the best time to post on LinkedIn and you will find confident answers that contradict each other. One study says Wednesday afternoon, another says Tuesday before sunrise, a third says business hours from Tuesday to Thursday. They are not wrong, they measured different things. This guide shows what the three most-cited studies actually found, the little they agree on, and how to work out the best time for your own audience from your own posts.

The Short Answer

• Wednesday is the only day that Buffer, Sprout Social and Hootsuite all rank among the best days to post on LinkedIn.
• There is no agreed best hour. Buffer's data points to 3–8 p.m., Sprout Social's to late morning and early afternoon, Hootsuite's to 4–6 a.m.
• Weekends are the worst days in both Sprout Social's and Hootsuite's research. Buffer found Monday and Tuesday weakest among weekdays.
• Your own data beats all of them. Test two or three weekday windows for a few weeks and compare results per post.

What Each Study Found

Study	What was analyzed	Best days	Best times	Weakest
Buffer (Sep 2026)	4.8 million posts sent through Buffer, normalized to local time	Wednesday, then Thursday and Friday	3–8 p.m. on weekdays; Wednesday 4 p.m. strongest	Monday, then Tuesday
Sprout Social (Mar 2026)	Nearly 2 billion engagements across 307,000 profiles on six networks, Nov 2025–Feb 2026	Tuesday, Wednesday, Thursday	Weekday late morning to afternoon, in local time	Saturday and Sunday
Hootsuite with Critical Truth (Nov 2025)	Over 1 million social posts	Tuesday and Wednesday	Early morning, 4–6 a.m.	Weekends

Buffer: late afternoon, midweek

Buffer analyzed over 4.8 million posts published through its own scheduler and normalized posting times by local time zone. Its conclusion: the best time to post on LinkedIn “is generally between 3 p.m. and 8 p.m. on weekdays, with Wednesday at 4 p.m. emerging as the strongest overall slot.” Wednesday was the best day, followed by Thursday and Friday, while Monday and Tuesday showed the lowest engagement in its data.

Sprout Social: Tuesday to Thursday

Sprout Social's data science team looked at nearly 2 billion engagements across 307,000 social profiles between November 27, 2025 and February 27, 2026. Note that this dataset covers Facebook, Instagram, LinkedIn, Pinterest, TikTok and X together. Its finding for LinkedIn: “Tuesday, Wednesday and Thursday offer the most consistent and prolonged periods of peak engagement,” and because LinkedIn is a professional network, Saturday and Sunday are the worst days to post.

Hootsuite: before the workday starts

Hootsuite partnered with Critical Truth to analyze over 1 million social posts. It reached the most unusual conclusion of the three: “The best overall time to post on LinkedIn is early morning (4 AM–6 AM) on Tuesdays and Wednesdays.” Like Sprout Social, it found weekends are typically the worst days.

Why the Studies Disagree

• Different audiences. Buffer measured posts from Buffer customers, Sprout Social measured engagement on profiles managed in Sprout Social, and Hootsuite used its own dataset. Each tool attracts a different mix of creators, small businesses and enterprise brands.
• Different measurements. Buffer and Hootsuite count posts, Sprout Social counts engagements, and Sprout Social's numbers span six networks rather than LinkedIn alone.
• Different ways of handling time zones. All three convert to local time, but a post at 9 a.m. in New York lands at 3 p.m. in Berlin. If your followers are spread across regions, a “best hour” for the average account can be a poor hour for yours.
• Averages hide your audience. A founder writing for engineers, a recruiter and a consumer brand will see different peaks, whatever the aggregate says.

What survives across all three: post on weekdays, give Wednesday a try, and treat any specific hour as a hypothesis to test rather than a rule.

How to Find Your Own Best Time

1. Pick two or three windows that the studies disagree on, for example 8 a.m., 1 p.m. and 4 p.m. in your audience's time zone.
2. Rotate them for four to six weeks, keeping the post type similar (text, document or image) so you compare timing rather than format.
3. Compare per post, not per week: average impressions and interactions (reactions, comments, reposts) for each window.
4. Keep the winner, then test again every few months. Audiences and feeds change.

Pull your numbers with the Publora API

If you publish through Publora, the LinkedIn API gives you everything needed to rank your own time slots: list-posts returns your published posts, get-post returns each post's publish time and LinkedIn post ID, and linkedin-post-statistics returns impressions, members reached, reactions, comments and reposts. The script below groups your LinkedIn posts by weekday and hour in your audience's time zone and ranks the slots by average interactions per post.

import requests
from collections import defaultdict
from datetime import datetime
from zoneinfo import ZoneInfo

API = "https://api.publora.com/api/v1"
HEADERS = {"x-publora-key": "sk_YOUR_API_KEY"}
AUDIENCE_TZ = ZoneInfo("America/New_York")  # where most of your audience lives

slots = defaultdict(list)  # (weekday, hour) -> [(impressions, interactions), ...]
page = 1
while True:
    listing = requests.get(f"{API}/list-posts", headers=HEADERS, params={
        "platform": "linkedin", "status": "published", "limit": 100, "page": page,
    }).json()
    for group in listing["posts"]:
        post = requests.get(f"{API}/get-post/{group['postGroupId']}", headers=HEADERS).json()
        if not post.get("scheduledTime"):
            continue
        when = datetime.fromisoformat(post["scheduledTime"].replace("Z", "+00:00")).astimezone(AUDIENCE_TZ)
        for target in post["posts"]:
            if target["platform"] != "linkedin" or not target["postedId"]:
                continue
            resp = requests.post(f"{API}/linkedin-post-statistics", headers=HEADERS, json={
                "postedId": target["postedId"],
                "platformId": f"linkedin-{target['platformId']}",
                "queryTypes": "ALL",
            })
            stats = resp.json().get("metrics") if resp.ok else None
            keys = ("IMPRESSION", "REACTION", "COMMENT", "RESHARE")
            # Skip posts whose statistics are unavailable (rate limit, deleted post, or a
            # metric LinkedIn returned as null) instead of counting them as zero.
            if not stats or any(stats.get(k) is None for k in keys):
                continue
            interactions = stats["REACTION"] + stats["COMMENT"] + stats["RESHARE"]
            slots[(when.strftime("%A"), when.hour)].append((stats["IMPRESSION"], interactions))
    if not listing["pagination"]["hasNextPage"]:
        break
    page += 1

# Rank slots with at least 3 posts by average interactions per post.
ranked = sorted(
    ((day, hour, len(v), sum(i for _, i in v) / len(v), sum(m for m, _ in v) / len(v))
     for (day, hour), v in slots.items() if len(v) >= 3),
    key=lambda row: row[3], reverse=True,
)
for day, hour, n, avg_inter, avg_impr in ranked[:10]:
    print(f"{day:<9} {hour:02d}:00  posts={n:<3} avg interactions={avg_inter:.1f}  avg impressions={avg_impr:.0f}")

Statistics are cached for two hours, so the numbers can lag slightly behind LinkedIn's own analytics. LinkedIn statistics are available through the REST API and in the Publora dashboard (Pro plan); the Publora MCP server covers publishing and scheduling from AI agents.

Schedule to your best slot

Once you know your window, schedule posts into it. Publora takes scheduledTime in UTC, so convert from your audience's time zone first: 4 p.m. in New York on Wednesday, October 7, 2026 is 2026-10-07T20:00:00Z.

curl -X POST https://api.publora.com/api/v1/create-post \
  -H "x-publora-key: sk_YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "content": "Your LinkedIn post text",
    "platforms": ["linkedin-ABC123"],
    "scheduledTime": "2026-10-07T20:00:00Z"
  }'

You can do the same in the Publora calendar without code, or ask an AI agent connected through the MCP server to schedule the post for you.

Frequently Asked Questions

What is the best time to post on LinkedIn?

There is no single answer. Buffer's 4.8-million-post study found 3–8 p.m. on weekdays best, with Wednesday at 4 p.m. strongest. Sprout Social found Tuesday to Thursday most consistent, and Hootsuite found 4–6 a.m. on Tuesdays and Wednesdays. Start with a weekday, test a few windows, and keep the one that works for your audience.

What is the best day to post on LinkedIn?

Wednesday is the only day all three major studies rank among the best. Buffer ranks it first, Sprout Social includes it in its Tuesday–Thursday peak, and Hootsuite names Tuesdays and Wednesdays.

Should I post on LinkedIn on weekends?

Sprout Social and Hootsuite both found weekends are the worst days to post on LinkedIn. If your audience is mostly professionals reading during the workweek, save your strongest posts for weekdays.

Which time zone should I use?

Your audience's, not yours. All three studies report times in local time. If your followers are split between regions, test a window that overlaps their working hours, for example a morning post in New York that lands in the European afternoon.

Further Reading

• LinkedIn scheduler — schedule LinkedIn posts from the Publora calendar or an AI agent
• LinkedIn API — post and schedule to LinkedIn programmatically
• Best time to post on social media — the same question for other networks
• Social media scheduling study 2026 — how 2,118 Publora users actually schedule, from 54,439 posts
• LinkedIn statistics API reference — metrics and request format
• Create Post API reference — scheduling options