One post that went unusually far would drag an average up and keep it there, making every later post look like a failure. Medians describe your typical post, which is the one you are about to write.
FEATURE / ANALYTICS
Thirty-one Threads analyses.One question each.
Every chart answers one publishing decision: when to post, what format, how long, what to write about, who is reading. Here is the full list.
Medians, not averages · Sample-size confidence · Your own baseline
Every chart recomputes over whatever date range you pick — nothing is precomputed or capped.
01 / OVERVIEW
The account at a glance.
The landing tab answers “how am I doing right now?” before you go looking for a reason.
threads-analytics · overview4 SECTIONS
01Stat CardsViews, likes, replies, reposts, quotes, shares, and engagement rate — each with its change against the previous period of the same length.
02Best HoursYour top two or three posting hours ranked by median views, with a confidence indicator driven by sample size.
03Views TrendViews by day, week, or month, drawn against your own median as the baseline.
04Top PostsEverything that beat your median view count, ranked by multiplier — 3.2× median, not just “popular”.
02 / PERFORMANCE
Best time to post on Threads: when to post, and what actually travels.
Eleven charts on reach and engagement: the timing questions, the quality map, and whether the account is growing at all.
TAB STATSTotal ViewsAvg Views / DayEng. RateShare Rate
threads-analytics · performance11 CHARTS
01Overall PerformanceDaily views, post count, and average views per post on one timeline.
02Post Quality MapEvery post plotted by reach against engagement rate, dot size by shares, split into four quadrants: breakout, conversation, broadcast, underperforming.
03Views to Actions FunnelWhat share of views converts into each action — likes, replies, reposts, quotes, shares.
04Best Time to PostMedian views as an hour-by-hour heatmap, with sample count and confidence in the tooltip.
05Engagement Rate TrendDaily interactions ÷ views, with a 7-day smoothed line over the noise.
06Best Day of WeekMedian views, engagement rate, and post count compared weekday by weekday.
07Format × Length MatrixA 2-D heatmap of every format-and-length combination against your median reach.
08Engagement Type BreakdownHow your interactions split across likes, replies, reposts, quotes, and shares.
09Engagement BreakdownThe same split stacked over time, so a shift in what people do shows up.
10Reach Growth TrendMedian and average views per post over time — the honest answer to “is this account growing?”
11Views DistributionHow posts spread across view ranges, with the hit rate for each milestone: 1k, 5k, 10k.
03 / CONTENT
Content analysis: what to write, how long, how often.
Thirteen charts on the content itself — format, length, keywords, cadence, and the posts that start conversations.
TAB STATSPosting ConsistencyShare RateQuote RatioTotal PostsLongest StreakCurrent Streak
threads-analytics · content13 CHARTS
01Posting ActivityA calendar heatmap of how much you published each day.
02Content Type PerformanceMedian views, engagement, and share rate by media type — text, image, video, carousel, audio — with thin buckets faded out.
03Post Length AnalysisMedian views by character-count bucket, with average, P75, hit rate, and confidence behind the tooltip.
04Publishing Frequency vs PerformanceWhether posting more in a week lifts reach or just dilutes it.
05Shares TrendDaily share counts over the long run.
06Top Keywords by EngagementThe words that carry your highest engagement rate — hashtags excluded, three-post minimum.
07Optimal Posting FrequencyPer-post reach and engagement compared across weekly posting volumes.
08Content Type by Time SlotThe best hour for each format, by median views.
09Top by Engagement RatePosts ranked by (likes + replies + reposts + quotes) ÷ views.
10Reply-Rate LeadersReplies ÷ views — the posts that actually started something.
11Share-Rate LeadersShares ÷ views — the posts people kept rather than just liked.
12Posting Gap vs PerformanceMedian views by days since your last post: does daily beat taking a break?
13Content Feature ComparisonPosts with and without links, with and without questions — your own data answering whether links cost reach.
04 / AUDIENCE
Follower growth and engagement rate: who is on the other side.
Follower history the API refuses to backfill, so the dashboard records it one day at a time from the moment you deploy.
TAB STATSFollowersNet GrowthAvg / DayDays Tracked
threads-analytics · audience3 CHARTS
01Follower GrowthFollower count over time, one point per synced day, with that day's change in the tooltip.
02Follower DemographicsCountry, city, age, and gender distributions, each marked with the baseline date and given as both head count and percentage points.
03Composition TrendEach group's share as a change in percentage points from the baseline — composition moves too slowly for absolute shares to show anything.
Threads only reports followers as of right now, so history can't be backfilled. Audience data is captured at most once per calendar day no matter how often posts sync, and demographics need at least 100 followers before the API returns them.
05 / POSTS
And every post, one at a time.
The aggregate view eventually points at a specific post. The posts page is where you go read it.
threads-analytics · posts4 TOOLS
01SortBy date, views, or likes.
02SearchFull-text across everything you have published.
03Media filterNarrow to a format — only the types actually present in the current period are offered.
04Post detailViews, engagement rate, multiple of your median, view percentile, and a per-action breakdown for the post you opened.
06 / THE METHOD
Why these numbers are worth trusting.
Analytics is easy to make flattering. These four rules are what keep the dashboard honest instead.
Three posts at 8 PM is not a finding. Buckets with thin samples are faded, labelled low-confidence, or left out of the ranking — the dashboard says “not enough data yet” rather than inventing a best hour.
Every comparison is against your own history, never against a global benchmark from accounts with different sizes, topics, and audiences. 3.2× median means 3.2× of your median.
Every delta compares against the immediately preceding period of the same length, so a 30-day view is never quietly measured against a 7-day one.
Point all of this at your own account.
Deploy the dashboard, connect your Threads account, and the first sync fills in every chart on this page from your own history.
Every chart recomputes on your server, from data that never leaves it.