Twitter Analytics for Brands
Review your brand content and a consistent sample of competitor posts.
Plan the review
Choose the data source
Upload your own X archive for aggregate posting insights, or use a paid plan to collect available public posts for search and export.
Check the period
Inspect coverage before comparing accounts or drawing conclusions. An upload or collection only reflects the data available in that source.
Keep the context
Record source URLs, dates and metric definitions alongside the review.
A practical workflow
Choose comparable profiles
Archive your brand and selected public competitor profiles. Use matching date ranges and note collection limits.
Review what was posted
Inspect themes, hashtags, posting patterns and stored likes, reposts and replies. Read the underlying text before interpreting sentiment labels.
Create a review pack
Export selected records and explain the sampling period. Decide whether a public archive link is appropriate before enabling sharing.
Review limits
Before sharing or relying on a result
Tweet-text sentiment measures estimated tone, not reputation or customer satisfaction.
Before sharing or relying on a result
There is no platform-wide brand mention listener, crisis alert or automatic causal analysis.
Key Features for Brands
Collected-post search
Search and filter available stored posts on a paid plan.
Collected-data exports
CSV, XLSX and JSON; up to 50,000 rows per export.
Archive upload insights
Free summary and heatmap; more aggregate charts on paid plans.
Screenshot Studio
Free manual watermarked images; paid branding and batch exports.
Choose your workflow
Start with free upload insights or compare paid collection limits.
Free accounts include upload summary statistics and an activity heatmap. Public-post collection requires a paid plan.
Related Resources
Upload insights
See free and paid archive analytics
Collection and search
Understand stored public archives
Plans and limits
Compare the current plans