Track what actually moves the needle
Real-time X analytics — impressions, engagement rate, replies, reposts, bookmarks, and follower delta — pulled every 6 hours from the official X API v2. Top-tweet detection across custom windows, week-over-week deltas, per-tone-profile breakdowns.
What you can see
AutoTweet's analytics dashboard gives you four views you'll use weekly: per-tweet metrics (engagement rate, replies, reposts, bookmarks for each post you publish), account trends (follower delta, impression sum, engagement rate over time), top tweets (your highest performers in any window you select), and per-tone-profile breakdowns (which of the 7 AI tone profiles resonates most with your audience).
The data refreshes every 6 hours via the official X API v2, which is fast enough for actionable weekly review and slow enough to stay within X's rate limits across thousands of connected accounts.
The 6 metrics that matter
What we track and what each number actually means. Benchmarks are observed medians across thousands of accounts; your numbers will vary by niche.
Impressions
How many times your tweet rendered in someone's feed. The denominator for every other ratio.
Benchmark: Median X tweet: 50-500 impressions for accounts <5k followers, scaling roughly linearly with followers.
Engagement rate
Likes + replies + reposts + bookmarks divided by impressions. The single best post-quality signal.
Benchmark: Median: 0.5%. Strong: 2%+. Exceptional: 5%+ on individual posts.
Conversation rate
Replies divided by impressions. The algorithm weights replies heaviest — high conversation rate signals algorithmic boost potential.
Benchmark: Median: 0.1%. Question-format posts: 0.3-0.8%.
Repost rate
Reposts divided by impressions. Indicates the content broke out of your existing audience.
Benchmark: Median: 0.1%. Viral threshold: ~0.5%.
Save rate
Bookmarks divided by impressions. The cleanest signal of reference-worthy content.
Benchmark: Median: 0.05%. Frameworks and lists: 0.3-1%.
Follower delta
New followers minus unfollows in a given window. The account-level outcome metric.
Benchmark: Healthy: 2-10/day for sub-10k accounts. 50+/day for accounts past viral inflection.
The weekly analytics workflow
The 4-step ritual that most high-output creators converge on. Takes about 20 minutes every Sunday.
Sunday review
Open analytics, set the window to "last 7 days," sort by engagement rate descending. Note the top 3 tweets — what tone, what topic, what hook pattern? Note the bottom 3 — what didn't land?
Pattern extraction
Write down the structural elements of the top 3. "Listicle threads beat single tweets this week." "Contrarian takes outperformed how-tos." "Long-form > short tweets for this audience."
Bias next week toward what worked
In AutoTweet, adjust your tone-profile rotation and format mix to lean into the patterns from step 2. Generate next week's queue, edit lightly, schedule.
Track week-over-week delta
After 4 weeks, compare week N to week N-4. If engagement rate is climbing, the bias is working. If it's flat, your audience may have a new pattern to discover — go back to step 1.
vs. X's native dashboard
X's built-in analytics shows you per-tweet metrics — what each individual post earned. That's useful but limited. The questions AutoTweet's analytics is built to answer are the ones X's native view doesn't cover:
- "What were my top 10 tweets in the last 90 days?" (X shows you most-recent, not best.)
- "Is my engagement rate trending up or down month-over-month?" (X has no historical comparison view.)
- "Which tone profile performs best with my audience?" (X has no concept of tone profiles.)
- "Did the post-cadence change last week earn more impressions per tweet?" (Cohort analysis, not in X.)
Use X's native dashboard for live in-the-moment numbers (the first 6 hours of a new tweet). Use AutoTweet for the comparison, cohort, and trend views.
Plans + export
Real-time analytics is included on every paid plan — Starter ($49/mo), Growth ($99/mo), and Pro ($199/mo). Pro adds per-account performance breakdowns when you connect multiple X accounts.
Every view supports CSV export of the underlying data. Useful for reporting to stakeholders, building custom dashboards in Looker/Tableau, or feeding insights back into a content workflow.
FAQ
What does AutoTweet analytics track?+
How fresh is the data?+
How is this different from X's built-in analytics?+
Which plans include analytics?+
Can I export the data?+
What's the most important metric?+
Stop guessing what worked.
AutoTweet's analytics surface the patterns your audience is already telling you. Run the weekly review. Bias toward what works. Compound from there.