Burst Statistics Dashboard
Every page view, session, and referrer Burst captures, in a filterable, sortable view you can pivot and export. Turn the privacy-first dashboard into a real exploration tool without leaving WordPress.
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Burst dashboards stop where exploration starts
Burst Statistics tracks pageviews and sessions privately, on your own server, with no external data sharing. Its built-in dashboards are clean for a daily glance but stop where exploration starts: you cannot pivot by combinations of filters, drill into individual page view rows, or build saved reports for weekly reviews.
SleekView reads wp_burst_statistics and wp_burst_sessions directly. Every page view becomes a row with URL, referrer, device, country, time on page, and date as filterable columns. Stack filters by referrer, device, and date to slice traffic in ways the chart-only dashboard cannot. Save the resulting filter combination as a named report.
Exporting raw data for BI tools or sharing with a team takes one click. Annotate spikes inline with a notes column so context travels with the row. Burst's privacy-first model stays intact: SleekView reads aggregates and rows, never injects new tracking, and never sends data to any external service.
Workflow
Turn Burst tracking into an exploration tool
Connect Burst tables
Build the page view view
Stack filters and save reports
Export for BI or share internally
Sample columns
Burst page view log
wp_burst_statistics + wp_burst_sessions
| URL | Referrer | Device | Country | Time on Page | Date |
|---|---|---|---|---|---|
| /blog/burst-statistics-review | google.com | Desktop | Germany | 00:03:42 | 2026-04-24 |
| /pricing | twitter.com | Mobile | United States | 00:01:15 | 2026-04-24 |
| /docs/setup | (direct) | Desktop | Netherlands | 00:05:18 | 2026-04-23 |
| / | duckduckgo.com | Tablet | Canada | 00:00:48 | 2026-04-23 |
Comparison
Burst dashboards vs. SleekView
Burst default dashboards
- Charts only, no row-level drilldown
- Cannot pivot by combinations of filters
- Limited export of raw data
- Hard to build custom reports
- No inline annotation on traffic spikes
SleekView
- Row-level access to every page view
- Pivot by referrer, device, or country
- Filter to a date range and export to CSV
- Build custom dashboards on top of Burst
- Annotate spikes inline for context
Features
What SleekView gives you for Burst Statistics
Multi-axis filters
Stack referrer, device, and date filters to slice traffic the way charts can not. Compound queries like Germany desktop traffic from organic search become one-click reports.
Custom reports
Save filter presets as named reports for SEO, marketing, or product weekly reviews. Each team gets their own named view without rebuilding filters every Monday morning.
Raw data export
Export the filtered view as CSV to feed into BI tools or share with your team. Burst data never leaves your server unless you explicitly export it for a downstream destination.
Audience
Privacy-first analytics
GDPR-friendly stack
Keep all analytics data on your own server while still getting power-user reporting. No external trackers, no Google Analytics, no compliance review for the analytics layer.
Content performance
Filter to a single URL or category and track how it earns referrals over time. Spot which posts gain traffic from which sources to refine content distribution.
Geo and device segmentation
Pivot by country and device to spot underperforming segments without leaving WP admin. Mobile-only spikes from one country often signal a localization or speed issue worth fixing.
The bigger picture
Why privacy-first analytics still need real exploration
Privacy-first analytics tools like Burst exist because Google Analytics is not a fit for every business: GDPR compliance, data residency, performance, and the simple desire to own your data are all valid reasons. The tradeoff has historically been functional: the privacy-first tools shipped with simpler dashboards, less flexibility, and almost no exploration. That tradeoff makes sense when you are picking between giving Google your visitor data or having a less powerful dashboard, but it is not necessary.
The data is already in your database. The tables are well-structured. The only missing piece is a real explorer that pivots, filters, and exports without sending anything anywhere.
SleekView fills that gap. Burst keeps doing what it is good at, which is fast cookieless tracking with a clean dashboard for the team's casual viewers, and SleekView gives the analyst on the team the tools they need to actually answer questions. Privacy and power stop being opposing concerns.
Questions
Common questions about SleekView for Burst Statistics
No. SleekView reads from Burst tables and never writes during pageview ingestion, so tracking stays untouched. The reads are server-side paginated and indexed, so even a multi-million-row Burst dataset stays responsive when scoped to a date range. Burst's own ingestion path runs on its own queries, fully independent of any SleekView view you build.
 Yes. Embed it on an internal dashboard page with role-based access for your team. Marketing leads get their own dashboard URL, content editors get a content-focused view, and product gets device and country segments. Everyone shares the same Burst data, but each role sees the slice that matters to them.
 Yes. Goal completion data is pulled from the same tables and can be added as columns or filters. Filter to sessions where a goal was completed, sort by completion time, or pivot by referrer to see which traffic sources drive goal completions. Pro version goals work the same way as core goals because they share the same schema.
 Yes. Add a notes column where editors can record context that travels with the row. When traffic spikes on a specific day, the analyst who diagnosed the cause can leave a note that future viewers see immediately. Avoids the institutional knowledge loss that happens when traffic anomalies are diagnosed in Slack and never recorded against the data.
 Yes. Pro features expand the schema and SleekView picks up new columns automatically. Custom events, goal funnels, and the additional dimensions Pro tracks all become column options. The detection is schema-driven, so upgrading Burst from free to Pro does not require any SleekView reconfiguration.
 Indexed reads keep it responsive even on multi-million-row Burst tables. Filter to a date range for best speed. For sites doing one to ten million pageviews per month, default views scoped to the last 30 days remain snappy. For larger datasets, build views per quarter or per month and let analysts page across them as needed.
 Yes. Match the Burst URL column against WP post permalinks and join in author, category, or publish date as additional columns. This turns the analytics view into a content performance dashboard where editors see traffic alongside the posts they wrote. Particularly useful for editorial teams running content audits to find underperforming posts to refresh or retire.
 No, it complements it. The Burst dashboard is great for daily snapshots and traffic-trend charts that the whole team can glance at. SleekView is for the analyst who needs to dig deeper, build custom reports, and export raw data. Most teams keep both: Burst for the at-a-glance view, SleekView for the question-answering view when something interesting shows up in the chart.
 Pricing
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