SleekView Charts for AI Chatbot by QuantumCloud
SleekView Charts reads AI Chatbot by QuantumCloud's session and lead tables directly, then renders sessions, lead conversion, intent mix and busy hours as Number, Pie, Bar and Area cards.
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The bot captures leads. The admin lists them. That is not reporting.
AI Chatbot by QuantumCloud (the AI Chatbot plugin by QuantumCloud, sold via aichatbot.co) stores chat sessions, transcripts and captured leads in its own tables. The admin shows recent chats and a lead list, plus an export button. Useful for individual follow-up, limited for understanding the channel.
Site owners typically want a different view. How many conversations turned into a captured lead this month. Which intents or starting questions appear most often. Which pages drive most chat opens. How busy hours map to staffing or human handoff. None of these are one click in the default admin.
SleekView Charts reads the same QuantumCloud tables and renders the channel as a dashboard. A Number card surfaces leads captured this month. A Pie splits sessions by configured intent. A Bar groups sessions per entry page. An Area trends daily session count so traffic, prompt edits and intent changes show up on a shared timeline.
Workflow
Turn QuantumCloud chat data into a dashboard
Read sessions and leads
Compose the chart cards
Save and scope the dashboard
Share or export
Sample dashboard
Charts you can build from QuantumCloud chat data
Leads captured this month
Count
Sessions by intent
Count
group by intent
Sessions per entry page
Count
group by entry_url
Sessions per day
Count
group by started_at
Comparison
Default QuantumCloud reporting vs SleekView Charts
Default AI Chatbot admin
- Lead list and chat list shown row by row, no aggregate KPI
- No visual split of sessions by intent or starting question
- No grouping of sessions by entry page or referring URL
- No daily or weekly trend of conversion or volume
- No read-only dashboard for sales or staffing leads
SleekView Charts
- KPI card for leads captured this month and last 24 hours
- Donut of session share across configured intents
- Bar of sessions per entry page for marketing placement decisions
- Area trend of daily sessions to plan staffing and human handoff
- Filters carry between table view and chart view on the same dataset
Features
What SleekView Charts gives you for AI Chatbot by QuantumCloud
Sales-grade KPI panel
Render QuantumCloud chat data as Number, Pie, Bar and Area cards so sales and marketing see real lead capture, not a session list.
Filters span table and chart
Scope to a single intent, page or date range in either view and the other stays in sync. Investigation and reporting share state.
Share a read-only snapshot
Send sales leads or executives a URL of the chatbot dashboard, or export filtered leads to CSV for the weekly review pack.
Audience
Who builds QuantumCloud chat dashboards with SleekView
Sales teams
Track leads captured this month, the split by intent and the entry pages that convert. Bot performance becomes part of the same dashboard as the rest of the funnel.
Support teams
Trend sessions per day and per hour, spot the busy hours and decide where a human handoff is worth the cost based on real conversation curves.
Marketing
Group sessions by entry_url, run placement A/B tests and treat the bot as a measured surface instead of a widget that lives somewhere on the site.
The bigger picture
Why a lead-capturing bot needs a dashboard, not a list
AI Chatbot by QuantumCloud is genuinely good at the two things it advertises: holding a conversation and capturing a lead. Where it stops is reporting on that work as a sales channel. A lead list lets sales follow up with one lead at a time.
It does not show that lead capture is up thirty percent since last month, that the pricing intent now drives more sessions than the support intent, or that one landing page accounts for half the bot's volume despite carrying ten percent of overall traffic. A KPI of leads this month, a donut of intent share, a bar of sessions per page and a daily area trend turn the same lead and session tables into a sales-grade cockpit. Same data, same bot, completely different operating posture.
Questions
Common questions about SleekView Charts for AI Chatbot by QuantumCloud
AI Chatbot by QuantumCloud's session, transcript and lead tables plus standard wp_users metadata for any logged-in chatters. No external service is required and no chat content has to leave the site.
 Yes. Table view and chart view sit on the same dataset, so a filter for a single intent, page or date range applies to both. Sales can pivot between lead-level inspection and dashboard reporting without rebuilding filters.
 Yes. A Number card on sessions where lead_captured = 1 gives the headline. Pair it with a session total and divide for a conversion rate, or run a Pie of captured versus not-captured for a quick visual.
 Yes. The free version exposes the session and lead tables the dashboard needs. Pro versions add richer fields (intent confidence, custom variables) that give more chart options when present.
 Yes. Group by entry_url with a Horizontal Bar card. Marketing teams use this to decide whether the widget belongs on a different page or whether opener copy should change for a specific page.
 No, unless the dashboard is explicitly configured to show message bodies. Counts and aggregates do not require reading transcript text, and column visibility is gated by WordPress capability.
 Yes. Any filtered set behind a chart card exports to CSV. Useful for handing a weekly lead batch to sales or for a quarterly review with revenue leadership.
 No. The plugin remains the chat widget, intent classifier and lead capture engine. SleekView Charts reads its tables and turns them into a dashboard.
 Pricing
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