Analytics that tell you what to post next.
BAT scores your engagement per platform, benchmarks it against the competitors you track, and writes the strategy report you would have had to assemble by hand. First-party data is strongest for LinkedIn, Instagram, and Facebook; X, TikTok, Threads, and Pinterest are gathered via scrapers, and we label which is which.
Most tools report. BAT reads the report back to you.
A dashboard full of charts is not the same as knowing what to do on Monday. Per-platform analytics over your own posts and tracked competitors, computed from one unified post index, with AI strategy reports and CSV export. The point is not another tab of line graphs: it is turning your own numbers into the next post, the next send time, and the next thing to stop doing.
Everything below is computed from one unified post index that holds both your posts and the competitors you track, so an owned-vs-rival benchmark is a single view, not a manual spreadsheet join. If you want the formatted deliverable, see the social media reporting tool. If you want the rival side in depth, see social media competitor analysis.
What the analytics actually measure.
Real capabilities, pulled straight from how BAT computes social media metrics. No vanity dials.
Per-platform performance
Average engagement rate and a performance score for each connected network, plus a post-by-post breakdown so you can see which formats earn their slot.
Owned-vs-competitor benchmarks
Your numbers sit next to each tracked competitor's, so 'good engagement' is measured against your real category, not a generic industry average.
Deepest on LinkedIn
LinkedIn is the richest surface: owned-profile sync plus imported dataset snapshots with individually scored posts, beyond what most schedulers expose.
Dedicated IG + Facebook
Instagram and Facebook each get their own owned and competitor analytics from first-party data, not a single mashed-together feed.
AI strategy reports
Run a report over your analytics window and get structured plus markdown output: what worked, what stalled, and what to try next, exportable to CSV.
Suggested posting times
Send-time recommendations derived from your own engagement-by-hour history, with a platform-canonical fallback when a network is still new for you.
First-party where it exists, scraped where it doesn't.
BAT indexes all eight native networks, but we are honest about the data source. The strongest first-party social media analytics are LinkedIn, Instagram, and Facebook. X, TikTok, Threads, and Pinterest profile data is collected via scrapers, so those metrics carry that caveat instead of pretending to be live API numbers.
The honest data-source map.
Where the numbers come from, per network, so you can weight them correctly.
- LinkedIn, Instagram, Facebook: first-party analytics. Owned-profile sync plus, for LinkedIn, imported dataset snapshots with scored posts. These are the metrics to lean on hardest.
- X, TikTok, Threads, Pinterest: scraper-sourced. Useful for trend and competitor reads, but treat them as estimates, not certified platform figures.
- LinkedIn caveat: analytics can run on imported datasets, so a given number may be a snapshot rather than a live first-party API pull. We surface which.
- Refresh cadence: competitor and non-native data refreshes on periodic or on-demand scrape runs, not real-time monitoring. You see the last good pull, dated.
Benchmarking and competitive context.
Analytics in a vacuum tells you your numbers moved. Benchmarking tells you whether that was good.
One index, both sides
Add competitor profile, company, or post URLs and BAT collects their posts and engagement into the same index as yours, so the comparison is apples to apples.
Benchmarks in chat
Ask the chat agent how you stack up and it benchmarks you against tracked competitors and surfaces their top posts on demand, no report build required.
Richest where it counts
Dedicated competitor analytics for Instagram, Facebook, and LinkedIn, with owned-vs-competitor views that make the gap (or lead) obvious.
Signals, not just posts
Keyword and signal tracking with intelligence refresh feeds competitor-inspiration suggestions, so benchmarking informs what you make next.
A point analytics tool, or analytics wired to creation.
A standalone analytics product can render a beautiful dashboard, but it stops at the chart. You still have to read it, decide what it means, and go write the next post somewhere else. BAT closes that loop: the same workspace that measured your last campaign drafts the next one from your brand brain, with the analytics already in context.
That is the real difference from doing this by hand. Pulling each platform's native dashboard, normalizing engagement rates, lining competitors up in a spreadsheet, and writing the takeaways is hours of work that goes stale the moment you finish. BAT keeps the index current, generates the strategy report with CSV export, and recommends send times from your own history, so the analysis is a starting point for action rather than a weekly chore.
Where a dedicated analytics suite still wins is raw breadth: paid-ad reporting, deep listening, and certified first-party metrics across every network are outside BAT's scope, and we do not claim otherwise. If reporting depth is the entire job, a specialist beats us. If you want metrics that feed directly into on-brand content and competitor benchmarking, that is exactly what BAT is built for.
Frequently asked questions.
Which platforms get first-party analytics versus scraped data?
LinkedIn, Instagram, and Facebook use first-party data and are the strongest surfaces. X, TikTok, Threads, and Pinterest profile data is gathered via third-party scrapers, so BAT labels those metrics as scraper-sourced rather than presenting them as live platform-API numbers.
What social media metrics does BAT actually track?
Per-platform average engagement rate and a performance score, a post-by-post breakdown, owned-vs-competitor benchmarks, and per-competitor analytics. LinkedIn additionally supports imported dataset snapshots with individually scored posts.
Can I export the data?
Yes. AI strategy reports run over your chosen analytics window and produce structured plus markdown output with CSV export, so you can drop the numbers into your own deck, sheet, or client report.
How are suggested posting times calculated?
From your own historical engagement-by-hour, so the recommendation reflects when your audience actually responds. When a platform is too new for you to have enough history, BAT falls back to a platform-canonical default.
Is competitor benchmarking real-time?
No. Competitor and non-native data refreshes on periodic or on-demand scrape runs, not continuous real-time monitoring. Each pull is dated so you know how current it is. The deepest competitor analytics are for Instagram, Facebook, and LinkedIn.
Is there a free analytics tier?
No free tier. BAT starts with a 14-day free trial (200 credits, no card required), then Brands Starter from $100/mo. Pricing is flat per brand workspace, not per seat, so adding teammates does not raise the bill.
Stop guessing, start benchmarking.
Connect your accounts, track a few competitors, and let BAT turn per-platform engagement into a strategy report and the next on-brand post. Strongest first-party data on LinkedIn, Instagram, and Facebook.