PilotMyX guide
Understand Your X/Twitter Data and Analytics
PilotMyX turns the metrics available for your authorized X/Twitter account into a searchable data set, period comparisons, rankings, and timing insights. Posts and replies remain separate so their results are not mixed together.
Last updated: August 27, 2026
Which screen should I use?
Use Dashboard for the summary, Data for individual rows, and Analytics for timing patterns.
Dashboard is the fastest way to see totals and changes. Data is where you filter, sort, and inspect the content behind those totals. Analytics groups eligible publications by weekday and local publication time.
Which X metrics are available?
PilotMyX shows the metrics returned for the connected account and marks data with its synchronization time.
Metric availability depends on X and the account's API access. PilotMyX does not invent missing values or silently replace them with estimates.
- Post impressions and engagement totals when available
- Likes, reposts, quotes, and other returned interactions
- Current follower count with its synchronization timestamp
- Posts and replies ranked by a selected supported metric
- Comparison with the immediately preceding period
How do history and date ranges work?
The selected period includes content published during those dates, within the analytics history included with your plan.
Choose Posts, Replies, or both to control what is included. Basic includes the latest 90 days; Growth includes all imported history. The initial import volume is separate from the analytics date-range limit.
How does Timing Analytics work?
Timing Analytics groups results by weekday and the account's configured local timezone.
A post or reply enters the analysis once it is at least 24 hours old, giving early engagement time to settle. Use the heatmap to find a pattern, then inspect the writing behind that cell before changing when you post or reply.
How should I interpret a strong result?
Compare similar content over similar periods and look for patterns that repeat.
One unusually strong post can distort a small sample. Check the number and type of publications behind an aggregate, read the actual posts, and test a promising hook or time again before treating it as a rule.
When do the numbers update?
Recent account data refreshes daily, and you can request a newer synchronization when needed.
X metrics continue changing after publication. Always check the freshness timestamp before making a decision from a close comparison.
Put the workflow to work