We Analyzed 10,000 Reddit Posts From MediaFast Users

Of 10,000 posts in the dataset, 6,700 were comments on existing threads and 3,300 were original submissions. The average upvote count on comments was 4.2 times higher than on original submissions. This gap is not random. Comments inherit audience from a thread that has already attracted attention, while original posts must earn visibility from scratch in a feed where the algorithm controls surfacing.

The gap was consistent across all five months and across different subreddit sizes. It was widest in large subreddits like r/SaaS and r/Entrepreneur, where original posts face the most competition, and narrowest in smaller, niche communities where the feed moves slowly enough that new submissions get seen by most active members.

The practical implication is straightforward. If you are spending 80% of your Reddit time writing original posts, you are working against the data. The high-return activity is finding good threads and writing substantive replies. One 150-word comment on a rising thread in r/SaaS outperformed the average original submission in that subreddit by a factor of four in our dataset.

A "looking for" thread is any Reddit post where the author is explicitly asking for a tool, service, or recommendation. Examples: "Looking for a tool that tracks Reddit mentions," "Anyone know a good alternative to [competitor]?", "What do you use for outreach on Reddit?" These posts represent demand that has already been articulated. The poster is not browsing passively. They want something specific.

In our dataset, replies to these threads averaged a 4.7% click-through rate to a landing page when the reply mentioned a relevant product. That is roughly 8 times the average across all other comment types in the dataset. The click-through was highest when the reply addressed the poster's specific use case first, mentioned the product in the second or third sentence, and included a direct link in the comment body rather than telling users to "Google it."

The catch is volume. Genuinely relevant "looking for" threads are rare. In our dataset, users found approximately 3 to 5 high-quality "looking for" threads per week across their target subreddits. That is not a lot, but the conversion rate is high enough that these 3 to 5 replies consistently outperformed 20 to 30 ordinary comments in terms of actual sign-ups.

Conventional Reddit wisdom says to post between 9 AM and 12 PM ET. Our data tells a different story. Posts published between 7 and 9 AM ET collected 1.8x more engagement than posts published between 12 and 2 PM ET. The 7 to 9 AM window was the highest-performing two-hour block in the entire dataset, across all subreddit sizes and post types.

We have a hypothesis but no proof. The B2B SaaS audience that dominates our user base's target subreddits is likely browsing Reddit before the workday starts, when there is less competition for attention in feeds. By 12 PM, those users are in meetings or deep in work, and feeds are flooded with midday posts from other accounts trying to maximize visibility. The 7 to 9 AM slot has fewer competing posts and more receptive readers.

Day of week also matters. Tuesday and Wednesday posts collected 1.4x more engagement than posts published on Saturday or Sunday. The worst day in our dataset was Sunday, which had the lowest average upvote count across all post types. If you are scheduling posts in advance, front-load your best content to Tuesday morning.

The subreddits where users post most often are not the ones that convert best. This is the single most actionable misalignment in the data. r/SaaS accounts for 12.4% of total post volume but converts at 1.6% click-to-signup. r/microsaas accounts for only 3.4% of volume but converts at 3.2%, exactly double. Where you focus matters more than how much you post.

Conversion = click-to-signup where UTM data was available (approx. 61% of posts). Top 6 subreddits by combined volume shown.

Across 3,300 original submissions in our dataset, posts with a question mark in the title averaged 2.4 times as many comments as posts with declarative titles stating a fact or opinion. The upvote advantage was smaller (1.3x) but still significant. Questions invite participation. Declarative statements invite agreement or scrolling. For B2B SaaS subreddits specifically, questions that referenced a shared pain point outperformed all other title formats.

The high-performing comments in our dataset were not brief to the point of being useless. They were dense. A 142-word comment that delivers three concrete points will outperform a 312-word comment that repeats itself, pads with context the reader already knows, or builds slowly to a recommendation. Reddit users read on phones and in short attention windows. They upvote comments that are immediately useful.

We tested this across subreddit sizes. In r/SaaS and r/startups, the performance difference was even sharper. Comments over 400 words in those communities actually performed below the median. Our theory: the active members of B2B communities have very limited time and very high tolerance for skipping long replies. If the value isn't in the first two sentences, it doesn't get read.

The exception was technical subreddits like r/devops, where longer, step-by-step answers performed well because completeness is valued over brevity. Know your subreddit. The 142-word guideline applies most strongly to communities with a business or marketing audience.

Posts and comments that opened with a personal anecdote in the first two sentences received 3.1x more upvotes on average than content that opened with a general statement, a claim, or a recommendation. This was the second-strongest signal in the entire dataset after sub-10-comment thread targeting.

Examples of anecdote openers that performed well in our data: "We spent three months trying X before realizing Y" or "I made this mistake on our first 20 Reddit posts." Examples of generic openers that underperformed: "Reddit marketing is all about providing value" or "The key to getting upvotes is consistency." The first two formats tell a story. The second two state things users already believe.

The mechanism here is trust. Reddit users are trained to spot promotional content. A comment that starts with a specific personal experience signals that the author has skin in the game. It is harder to fake than a general recommendation, and readers instinctively apply less skepticism to it. This effect was consistent across subreddit types and post formats.

We segmented the 10,000 posts by account age at the time of posting. Accounts under 30 days old averaged 1.0x upvotes (our baseline). Accounts between 30 and 60 days averaged 2.1x. Accounts over 60 days averaged 5.2x. The jump between 30 and 60 days was the largest single step across all the age brackets we tested.

Karma alone did not explain the gap. When we controlled for karma and looked only at account age, the 5.2x difference held. Reddit's algorithm appears to factor account tenure into how it weights and surfaces content, separate from karma. A 90-day-old account with 300 karma outperformed a 20-day-old account with 2,000 karma in our dataset.

If you are starting a new Reddit account today with the intent of using it for marketing in 60 days, the data supports a very specific strategy: comment consistently starting on day one, aim for 300 to 500 karma by day 30, and resist the urge to publish promotional content until day 60. The 60-day mark is when your ROI per post starts to compound.

The 9-1 rule means that for every 1 promotional post or submission, you should have 9 comments contributing value to the community. In our dataset, we segmented users by their actual posting ratio over the 5-month window. Accounts with a 90%+ commenting ratio had a 3.4x better post acceptance rate than accounts with a 50% or lower commenting ratio.

Post acceptance rate means the post stayed live and was not removed by a moderator, automod, or spam filter within the first 24 hours. We tracked this for all 3,300 original submissions in the dataset. The difference was most pronounced in subreddits with active human moderators, like r/SaaS, where moderators are known to check post histories before approving content from newer or low-karma accounts.

The practical version of this for a busy founder: before you post a product announcement or case study in r/startups, make sure your last 10 activities in that subreddit include at least 8 or 9 comments that have nothing to do with your product. Moderators often check the last 10 posts in your history when reviewing a borderline submission.

This is the finding that surprised us most. Intuitively, it seems like you would want to comment on popular, high-traffic threads where hundreds of people are reading. The data says the opposite. Comments on threads with fewer than 10 existing replies converted 8x higher (click-to-landing-page rate) than comments on threads with more than 100 replies.

Here is the likely explanation. In a thread with 150 comments, the top replies are written by accounts with high karma and are upvoted to the top by hundreds of people. Your comment gets buried below the fold after a few minutes. The original poster, who is the highest-intent reader in the thread, sees the top 5 to 10 replies and almost nothing below that.

In a thread with 5 comments, the original poster reads every single reply. You are not competing with anyone. Your reply appears near the top regardless of upvote count. The poster is still checking their thread actively, so notification-driven engagement is high. The "looking for" threads described in Finding 2 are almost always in this sub-10-comment category when they are at their highest conversion.

Strategy implication: sort your target subreddits by "New" every morning, scan for threads with 0 to 8 comments on topics adjacent to your product, and prioritize those over responding to any thread that is already in the top 20 posts of the day. This single behavior change accounts for a disproportionate share of the conversion gains we see in our best-performing user accounts.

In February and March 2026, posts with external links embedded in the body performed at roughly the same engagement level as text-only posts in our dataset. In April, that changed. Posts with external links in the body saw a 23% drop in average upvotes compared to the same account's text-only posts in the same subreddits during the same weeks.

We do not have access to Reddit's algorithm internals, so we cannot confirm the cause. But the timing and magnitude of the shift were consistent enough that we flagged it as a likely algorithm update. Several Reddit marketing communities noticed similar patterns in April. The most common workaround, and the one that performed best in our data through May, was to post text-only content and add the link as a pinned reply comment on your own post.

This matters most for submissions, not comments. External links in comment bodies did not show the same engagement drop in our data. If you are adding a resource link, putting it in a comment reply rather than the original post body appears to avoid the algorithm penalty while still surfacing the link for readers.

The sweet spot for original post length in our data is 200 to 400 words. Posts in this range consistently outperformed both shorter posts (under 100 words, which felt thin) and longer posts (over 500 words, which were underperformed in 8 of the 10 highest-volume subreddits in our dataset).

The 500-word threshold showed up clearly in r/SaaS, r/Entrepreneur, r/startups, r/microsaas, r/marketing, r/devops, r/smallbusiness, and r/growth. In those 8 communities, posts over 500 words collected fewer upvotes per view than the 200 to 400 word bracket. The two subreddits where longer posts performed well were r/devops and r/aws, both technical communities where completeness is valued.

The implication for content strategy: write your post, then cut it. If your original draft is 700 words, challenge yourself to hit 350 without losing the core insight. Reddit readers are not blog readers. They scan, they judge quickly, and they reward posts that give them the point without making them earn it.

Midweek posts outperformed weekend posts by a consistent margin across the 5-month window. Tuesday and Wednesday were effectively tied for the highest average engagement per post. Thursday was close behind. Friday, Saturday, and Sunday all trailed the weekly average, with Sunday being the weakest day in the dataset.

This pattern aligns with our user base's target audience. B2B professionals browsing r/SaaS on a Sunday are fewer in number than those browsing on a Tuesday morning. Weekends also have a different content mix on Reddit, with more entertainment and consumer content competing for attention in feeds. The algorithmic implication is that business-focused posts get relatively less algorithm surface on weekends than on weekdays, because the platform's overall composition shifts toward consumer content.

One in three posts from under-100-karma accounts never survived long enough to collect a single upvote. Automod rules in popular subreddits commonly require minimum karma thresholds, and our data quantifies how common removal is for accounts that haven't reached them. 34% is higher than most founders expect when they start their Reddit presence.

The karma-to-removal relationship was not linear. Between 100 and 500 karma, the removal rate dropped sharply to around 12%. Between 500 and 1,000 karma, it dropped to 6%. Above 1,000 karma, it was under 4%. The biggest single improvement came from crossing the 100-karma threshold, which cut removal risk by nearly 65% in our dataset.

This validates the karma-first approach. If you are starting a new account, the first goal is to cross 100 karma as fast as possible before attempting to post in any high-value subreddit. Two weeks of active commenting in large communities like r/AskReddit, r/NoStupidQuestions, or r/todayilearned can get you to 100 karma. After that, the risk of losing your content to automod drops dramatically.

Posts where the author added a follow-up comment within the first 30 minutes of publishing collected 1.6x more total comments over 48 hours than posts where the author did not engage. The follow-up comment does not need to be long. A 2 to 3 sentence addition, or a question to readers, appears to signal to the algorithm that the thread is active and worth surfacing. It also prompts notifications for anyone who already upvoted, bringing them back to comment.

This effect was strongest on original submissions and weakest on comments. If you publish a post in r/SaaS, set a 20-minute reminder to go back and reply to yourself with a clarification or an additional data point. It is a low-effort behavior with a measurable payoff in our data.

In subreddits with mandatory post flair (r/SaaS, r/Entrepreneur, r/marketing among them), posts that included the correct flair category averaged 22% more upvotes than posts with incorrect or missing flair. This may seem trivial but it has two compounding effects. First, correct flair signals to the algorithm and moderators that the account is familiar with community norms, which reduces removal risk. Second, subreddit members who filter by specific flairs will see your post more often.

The categories that generated the most engagement in r/SaaS specifically were "I built this," "Question," and "Seeking Feedback." Generic "Discussion" flair performed below average. If you are posting a product launch or an MVP, "I built this" was the single best-performing flair in that subreddit across our dataset.

We identified 214 instances where users posted the same or nearly identical content to three or more subreddits within a 24-hour window. The removal rate for those posts was 4.1 times higher than the baseline. Some removals came from moderators who manually reviewed and noticed duplication. Others were likely triggered by Reddit's spam detection, which looks for identical text appearing rapidly across multiple communities.

The safe threshold in our data appears to be posting to 1 or 2 subreddits per day with the same core message, with at least 48 hours between any additional cross-posts. Adapting the post for each community rather than copying it verbatim also reduced the removal rate significantly in our tests.

All 14 Findings Ranked by Impact

We scored each finding by the magnitude of its performance multiplier and the share of the 10,000-post dataset it applies to. Higher score means both a larger effect and broader applicability across subreddit types and account ages.

What This Means for Your Reddit Strategy

Methodology Limitations (Be Honest About This)